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Tiêu đề Dynamics of mechanical systems
Tác giả Harold Josephs, Ronald L. Huston
Trường học CRC Press
Chuyên ngành Mechanical Engineering
Thể loại Book
Năm xuất bản 2002
Thành phố Boca Raton
Định dạng
Số trang 777
Dung lượng 10,45 MB

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The magnitude of a vector is simply its length; hence, in a graphical representation as in Figure 1.5.1, the magnitude is simply the geometrical length.. Observe, for example, in Figure

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MECHANICAL SYSTEMS

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C RC PR E S S

Boca Raton London New York Washington, D.C

Harold Josephs Ronald L HustonMECHANICAL SYSTEMS

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This book contains information obtained from authentic and highly regarded sources Reprinted material is quoted with permission, and sources are indicated A wide variety of references are listed Reasonable efforts have been made to publish reliable data and information, but the authors and the publisher cannot assume responsibility for the validity of all materials

or for the consequences of their use.

Neither this book nor any part may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying, microfilming, and recording, or by any information storage or retrieval system, without prior permission in writing from the publisher.

The consent of CRC Press LLC does not extend to copying for general distribution, for promotion, for creating new works,

or for resale Specific permission must be obtained in writing from CRC Press LLC for such copying.

Direct all inquiries to CRC Press LLC, 2000 N.W Corporate Blvd., Boca Raton, Florida 33431

Trademark Notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation, without intent to infringe.

Visit the CRC Press Web site at www.crcpress.com

© 2002 by CRC Press LLC

No claim to original U.S Government works International Standard Book Number 0-8493-0593-4 Library of Congress Card Number 2002276809 Printed in the United States of America 1 2 3 4 5 6 7 8 9 0

Printed on acid-free paper

Library of Congress Cataloging-in-Publication Data

Josephs, Harold.

Dynamics of mechanical systems / by Harold Josephs and Ronald L Huston.

p ; cm.

Includes bibliographical references and index.

ISBN 0-8493-0593-4 (alk paper)

1 Mechanical engineering I Huston, Ronald L., 1937- II Title.

TJ145 J67 2002.

CIP

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This is a textbook intended for mid- to upper-level undergraduate students in engineeringand physics The objective of the book is to give readers a working knowledge of dynamics,enabling them to analyze mechanical systems ranging from elementary and fundamentalsystems such as planar mechanisms to more advanced systems such as robots, spacemechanisms, and human body models The emphasis of the book is upon the fundamentalprocedures underlying these dynamic analyses Readers are expected to obtain skillsranging from the ability to perform insightful hand analyses to the ability to developalgorithms for numerical/computer analyses In this latter regard, the book is alsointended to serve as an independent study text and as a reference book for beginninggraduate students and for practicing engineers

Mechanical systems are becoming increasingly sophisticated, with applications ing greater precision, improved reliability, and extended life These enhanced requirementsare spurred by a demand for advanced land, air, and space vehicles; by a correspondingdemand for advanced mechanisms, manipulators, and robotics systems; and by a need

requir-to have a better understanding of the dynamics of biosystems The book is intended requir-toenable its readers to make engineering advances in each of these areas The authors believethat the skills needed to make such advances are best obtained by illustratively studyingfundamental mechanical components such as pendulums, gears, cams, and mechanismswhile reviewing the principles of vibrations, stability, and balancing The study of thesesubjects is facilitated by a knowledge of kinematics and skill in the use of Newton’s laws,energy methods, Lagrange’s equations, and Kane’s equations The book is intended toprovide a means for mastering all of these concepts

The book is written to be readily accessible to students and readers having a background

in elementary physics, mathematics through calculus and differential equations, and mentary mechanics The book itself is divided into 20 chapters, with the first two chaptersproviding introductory remarks and a review of vector algebra The next three chaptersare devoted to kinematics, with the last of these focusing upon planar kinematics Chapter

ele-6 discusses forces and force systems, and Chapter 7 provides a comprehensive review ofinertia including inertia dyadics and procedures for obtaining the principal moments ofinertia and the corresponding principal axes of inertia

Fundamental principles of dynamics (Newton’s laws and d’Alembert’s principle) arepresented in Chapter 8, and the use of impulse–momentum and work–energy principles

is presented in the next two chapters with application to accident reconstruction Chapters

11 and 12 introduce generalized dynamics and the use of Lagrange’s equation and Kane’sequations with application to multiple rod pendulum problems The next five chaptersare devoted to applications that involve the study of vibration, stability, balancing, cams,and gears, including procedures for studying nonlinear vibrations and engine balancing.The last three chapters present an introduction to multibody dynamics with application

to robotics and biosystems

Application and illustrative examples are discussed and presented in each chapter, andexercises and problems are provided at the end of each chapter In addition, each chapterhas its own list of references for additional study Although the earlier chapters providethe basis for the latter chapters, each chapter is written to be as self-contained as possible,with excerpts from earlier chapters provided as needed

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The book is an outgrowth of notes the authors have compiled over the past three decades

in teaching various courses using the subject material These notes, in turn, are basedupon information contained in various texts used in these courses and upon the authors’independent study and research

The authors acknowledge the inspiration for a clearly defined procedural study ofdynamics by Professor T R Kane at the University of Pennsylvania, now nearly 50 yearsago The authors particularly acknowledge the administrative support and assistance ofCharlotte Better in typing and preparing the entire text through several revisions Thework of Xiaobo Liu and Doug Provine for preparation of many of the figures is alsoacknowledged

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Ronald L Huston, Ph.D., P.E., is distinguished research professor and professor ofmechanics in the Department of Mechanical, Industrial, and Nuclear Engineering at theUniversity of Cincinnati He is also a Herman Schneider chair professor Dr Huston hasbeen at the University of Cincinnati since 1962 In 1978, he served as a visiting professor

at Stanford University, and from 1979 to 1980 he was division director of civil and ical engineering at the National Science Foundation From 1990 to 1996, Dr Huston was

mechan-a director of the Monmechan-arch Resemechan-arch Foundmechan-ation He is the mechan-author of over 140 journmechan-alarticles, 142 conference papers, 4 books, and 65 book reviews and is a technical editor of

Applied Mechanics Reviews, and book review editor of the International Journal of Industrial

reconstruction His research interests are in multibody dynamics, human factors, chanics, and ergonomics and safety Dr Huston received his B.S degree (1959), M.S degree(1961), and Ph.D (1962) from the University of Pennsylvania, Philadelphia He is aLicensed Professional Engineer and a Fellow of the American Society of MechanicalEngineers

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Chapter 1 Introduction 1

1.1 Approach to the Subject 1

1.2 Subject Matter 1

1.3 Fundamental Concepts and Assumptions 2

1.4 Basic Terminology in Mechanical Systems 3

1.5 Vector Review 5

1.6 Reference Frames and Coordinate Systems 6

1.7 Systems of Units 9

1.8 Closure 11

References 11

Problems 12

Chapter 2 Review of Vector Algebra 15

2.1 Introduction 15

2.2 Equality of Vectors, Fixed and Free Vectors 15

2.3 Vector Addition 16

2.4 Vector Components 19

2.5 Angle Between Two Vectors 23

2.6 Vector Multiplication: Scalar Product 23

2.7 Vector Multiplication: Vector Product 28

2.8 Vector Multiplication: Triple Products 33

2.9 Use of the Index Summation Convention 37

2.10 Review of Matrix Procedures 38

2.11 Reference Frames and Unit Vector Sets 41

2.12 Closure 44

References 44

Problems 45

Chapter 3 Kinematics of a Particle 57

3.1 Introduction 57

3.2 Vector Differentiation 57

3.3 Position, Velocity, and Acceleration 59

3.4 Relative Velocity and Relative Acceleration 61

3.5 Differentiation of Rotating Unit Vectors 63

3.6 Geometric Interpretation of Acceleration 66

3.7 Motion on a Circle 66

3.8 Motion in a Plane 68

3.9 Closure 71

References 71

Problems 71

Chapter 4 Kinematics of a Rigid Body 77

4.1 Introduction 77

4.2 Orientation of Rigid Bodies 77

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4.3 Configuration Graphs 79

4.4 Simple Angular Velocity and Simple Angular Acceleration 83

4.5 General Angular Velocity 85

4.6 Differentiation in Different Reference Frames 87

4.7 Addition Theorem for Angular Velocity 90

4.8 Angular Acceleration 93

4.9 Relative Velocity and Relative Acceleration of Two Points on a Rigid Body 97

4.10 Points Moving on a Rigid Body 103

4.11 Rolling Bodies 106

4.12 The Rolling Disk and Rolling Wheel 107

4.13 A Conical Thrust Bearing 110

4.14 Closure 113

References 113

Problems 114

Chapter 5 Planar Motion of Rigid Bodies — Methods of Analysis 125

5.1 Introduction 125

5.2 Coordinates, Constraints, Degrees of Freedom 125

5.3 Planar Motion of a Rigid Body 128

5.3.1 Translation 129

5.3.2 Rotation 130

5.3.3 General Plane Motion 130

5.4 Instant Center, Points of Zero Velocity 133

5.5 Illustrative Example: A Four-Bar Linkage 136

5.6 Chains of Bodies 142

5.7 Instant Center, Analytical Considerations 147

5.8 Instant Center of Zero Acceleration 150

Problems 156

Chapter 6 Forces and Force Systems 163

6.1 Introduction 163

6.2 Forces and Moments 163

6.3 Systems of Forces 165

6.4 Zero Force Systems 170

6.5 Couples 170

6.6 Wrenches 173

6.7 Physical Forces: Applied (Active) Forces 177

6.7.1 Gravitational Forces 177

6.7.2 Spring Forces 178

6.7.3 Contact Forces 180

6.7.4 Action–Reaction 181

6.8 First Moments 182

6.9 Physical Forces: Inertia (Passive) Forces 184

References 187

Problems 187

Chapter 7 Inertia, Second Moment Vectors, Moments and Products of Inertia, Inertia Dyadics 199

7.1 Introduction 199

7.2 Second-Moment Vectors 199

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7.3 Moments and Products of Inertia 200

7.4 Inertia Dyadics 203

7.5 Transformation Rules 205

7.6 Parallel Axis Theorems 206

7.7 Principal Axes, Principal Moments of Inertia: Concepts 208

7.8 Principal Axes, Principal Moments of Inertia: Example 211

7.9 Principal Axes, Principal Moments of Inertia: Discussion 215

7.10 Maximum and Minimum Moments and Products of Inertia 223

7.11 Inertia Ellipsoid 228

7.12 Application: Inertia Torques 228

References 230

Problems 230

Chapter 8 Principles of Dynamics: Newton’s Laws and d’Alembert’s Principle 241

8.1 Introduction 241

8.2 Principles of Dynamics 242

8.3 d’Alembert’s Principle 243

8.4 The Simple Pendulum 245

8.5 A Smooth Particle Moving Inside a Vertical Rotating Tube 246

8.6 Inertia Forces on a Rigid Body 249

8.7 Projectile Motion 251

8.8 A Rotating Circular Disk 253

8.9 The Rod Pendulum 255

8.10 Double-Rod Pendulum 258

8.11 The Triple-Rod and N-Rod Pendulums 260

8.12 A Rotating Pinned Rod 263

8.13 The Rolling Circular Disk 267

8.14 Closure 270

References 270

Problems 271

Chapter 9 Principles of Impulse and Momentum 279

9.1 Introduction 279

9.2 Impulse 279

9.3 Linear Momentum 280

9.4 Angular Momentum 282

9.5 Principle of Linear Impulse and Momentum 285

9.6 Principle of Angular Impulse and Momentum 288

9.7 Conservation of Momentum Principles 294

9.8 Examples 295

9.9 Additional Examples: Conservation of Momentum 301

9.10 Impact: Coefficient of Restitution 303

9.11 Oblique Impact 306

9.12 Seizure of a Spinning, Diagonally Supported, Square Plate 309

9.13 Closure 310

Problems 311

Chapter 10 Introduction to Energy Methods 321

10.1 Introduction 321

10.2 Work 321

10.3 Work Done by aCouple 326

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10.4 Power 327

10.5 Kinetic Energy 327

10.6 Work–Energy Principles 329

10.7 Elementary Example: A Falling Object 332

10.8 Elementary Example: The Simple Pendulum 333

10.9 Elementary Example — A Mass–Spring System 336

10.10 Skidding Vehicle Speeds: Accident Reconstruction Analysis 338

10.11 A Wheel Rolling Over a Step 341

10.12 The Spinning Diagonally Supported Square Plate 342

10.13 Closure 344

References (Accident Reconstruction) 344

Problems 344

Chapter 11 Generalized Dynamics: Kinematics and Kinetics 353

11.1 Introduction 353

11.2 Coordinates, Constraints, and Degrees of Freedom 353

11.3 Holonomic and Nonholonomic Constraints 357

11.4 Vector Functions, Partial Velocity, and Partial Angular Velocity 359

11.5 Generalized Forces: Applied (Active) Forces 363

11.6 Generalized Forces: Gravity and Spring Forces 367

11.7 Example: Spring-Supported Particles in a Rotating Tube 369

11.8 Forces That Do Not Contribute to the Generalized Forces 375

11.9 Generalized Forces: Inertia (Passive) Forces 377

11.10 Examples 379

11.11 Potential Energy 389

11.12 Use of Kinetic Energy toObtain Generalized Inertia Forces 394

11.13 Closure 401

References 401

Problems 402

Chapter 12 Generalized Dynamics: Kane’s Equations and Lagrange’s Equations 415

12.1 Introduction 415

12.2 Kane’s Equations 415

12.3 Lagrange’s Equations 423

12.4 The Triple-Rod Pendulum 429

12.5 The N-Rod Pendulum 433

12.6 Closure 435

References 436

Problems 436

Chapter 13 Introduction to Vibrations 439

13.1 Introduction 439

13.2 Solutions of Second-Order Differential Equations 439

13.3 The Undamped Linear Oscillator 444

13.4 Forced Vibration of an Undamped Oscillator 446

13.5 Damped Linear Oscillator 447

13.6 Forced Vibration of a Damped Linear Oscillator 449

13.7 Systems with Several Degrees of Freedom 450

13.8 Analysis and Discussion of Three-Particle Movement: Modes of Vibration 455

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13.9 Nonlinear Vibrations 458

13.10 The Method of Krylov and Bogoliuboff 463

13.11 Closure 466

References 466

Problems 467

Chapter 14 Stability 479

14.1 Introduction 479

14.2 Infinitesimal Stability 479

14.3 A Particle Moving in a Vertical Rotating Tube 482

14.4 A Freely Rotating Body 485

14.5 The Rolling/Pivoting Circular Disk 488

14.6 Pivoting Disk with a Concentrated Mass on the Rim 493

14.6.1 Rim Mass in the Uppermost Position 498

14.6.2 Rim Mass in the Lowermost Position 502

14.7 Discussion: Routh–Hurwitz Criteria 505

14.8 Closure 509

References 509

Problems 510

Chapter 15 Balancing 513

15.1 Introduction 513

15.2 Static Balancing 513

15.3 Dynamic Balancing: A Rotating Shaft 514

15.4 Dynamic Balancing: The General Case 516

15.5 Application: Balancing of Reciprocating Machines 520

15.6 Lanchester Balancing Mechanism 525

15.7 Balancing of Multicylinder Engines 526

15.8 Four-Stroke Cycle Engines 528

15.9 Balancing of Four-Cylinder Engines 529

15.10 Eight-Cylinder Engines: The Straight-Eight and the V-8 532

15.11 Closure 534

References 534

Problems 534

Chapter 16 Mechanical Components: Cams 539

16.1 Introduction 539

16.2 A Survey of Cam Pair Types 540

16.3 Nomenclature and Terminology for Typical Rotating Radial Cams with Translating Followers 541

16.4 Graphical Constructions: The Follower Rise Function 543

16.5 Graphical Constructions: Cam Profiles 544

16.6 Graphical Construction: Effects of Cam–Follower Design 545

16.7 Comments on Graphical Construction of Cam Profiles 549

16.8 Analytical Construction of Cam Profiles 550

16.9 Dwell and Linear Rise of the Follower 551

16.10 Use of Singularity Functions 553

16.11 Parabolic Rise Function 557

16.12 Sinusoidal Rise Function 560

16.13 Cycloidal Rise Function 563

16.14 Summary: Listing of Follower Rise Functions 566

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16.15 Closure 568

References 568

Problems 569

Chapter 17 Mechanical Components: Gears 573

17.1 Introduction 573

17.2 Preliminary and Fundamental Concepts: Rolling Wheels 573

17.3 Preliminary and Fundamental Concepts: Conjugate Action 575

17.4 Preliminary and Fundamental Concepts: Involute Curve Geometry 578

17.5 Spur Gear Nomenclature 581

17.6 Kinematics of Meshing Involute Spur Gear Teeth 584

17.7 Kinetics of Meshing Involute Spur Gear Teeth 588

17.8 Sliding and Rubbing between Contacting Involute Spur Gear Teeth 589

17.9 Involute Rack 591

17.10 Gear Drives and Gear Trains 592

17.11 Helical, Bevel, Spiral Bevel, and Worm Gears 595

17.12 Helical Gears 595

17.13 Bevel Gears 596

17.14 Hypoid and Worm Gears 597

17.15 Closure 599

17.16 Glossary of Gearing Terms 599

References 601

Problems 602

Chapter 18 Introduction to Multibody Dynamics 605

18.1 Introduction 605

18.2 Connection Configuration: Lower Body Arrays 605

18.3 A Pair of Typical Adjoining Bodies: Transformation Matrices 609

18.4 Transformation Matrix Derivatives 612

18.5 Euler Parameters 613

18.6 Rotation Dyadics 617

18.7 Transformation Matrices, Angular Velocity Components, and Euler Parameters 623

18.8 Degrees of Freedom, Coordinates, and Generalized Speeds 628

18.9 Transformations between Absolute and Relative Coordinates 632

18.10 Angular Velocity 635

18.11 Angular Acceleration 640

18.12 Joint and Mass Center Positions 643

18.13 Mass Center Velocities 645

18.14 Mass Center Accelerations 647

18.15 Kinetics: Applied (Active) Forces 647

18.16 Kinetics: Inertia (Passive) Forces 648

18.17 Multibody Dynamics 650

18.18 Closure 651

References 651

Problems 652

Chapter 19 Introduction to Robot Dynamics 661

19.1 Introduction 661

19.2 Geometry, Configuration, and Degrees of Freedom 661

19.3 Transformation Matrices and Configuration Graphs 663

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19.4 Angular Velocity of Robot Links 665

19.5 Partial Angular Velocities 667

19.6 Transformation Matrix Derivatives 668

19.7 Angular Acceleration of the Robot Links 668

19.8 Joint and Mass Center Position 669

19.9 Mass Center Velocities 671

19.10 Mass Center Partial Velocities 673

19.11 Mass Center Accelerations 673

19.12 End Effector Kinematics 674

19.13 Kinetics: Applied (Active) Forces 677

19.14 Kinetics: Passive (Inertia) Forces 680

19.15 Dynamics: Equations of Motion 681

19.16 Redundant Robots 682

19.17 Constraint Equations and Constraint Forces 684

19.18 Governing Equation Reduction and Solution: Use of Orthogonal Complement Arrays 687

19.19 Discussion, Concluding Remarks, and Closure 689

References 691

Problems 691

Chapter 20 Application with Biosystems, Human Body Dynamics 701

20.1 Introduction 701

20.2 Human Body Modeling 702

20.3 A Whole-Body Model: Preliminary Considerations 703

20.4 Kinematics: Coordinates 706

20.5 Kinematics: Velocities and Acceleration 709

20.6 Kinetics: Active Forces 715

20.7 Kinetics: Muscle and Joint Forces 716

20.8 Kinetics: Inertia Forces 719

20.9 Dynamics: Equations of Motion 721

20.10 Constrained Motion 722

20.11 Solutions of the Governing Equations 724

20.12 Discussion: Application and Future Development 727

References 730

Problems 731

Appendix I Centroid and Mass Center Location for Commonly Shaped Bodies with Uniform Mass Distribution 735

Appendix II Inertia Properties (Moments and Products of Inertia) for Commonly Shaped Bodies with Uniform Mass Distribution 743

Index 753

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1

Introduction

This book presents an introduction to the dynamics of mechanical systems; it is basedupon the principles of elementary mechanics Although the book is intended to be self-contained, with minimal prerequisites, readers are assumed to have a working knowledge

of fundamental mechanics’ principles and a familiarity with vector and matrix methods.The readers are also assumed to have knowledge of elementary physics and calculus Inthis introductory chapter, we will review some basic assumptions and axioms and otherpreliminary considerations We will also begin a review of vector methods, which we willcontinue and expand in Chapter 2

Our procedure throughout the book will be to develop a general methodology which

we will then simplify and specialize to topics of interest We will attempt to illustratethe concepts through examples and exercise problems The reader is encouraged to solve

as many problems as possible Indeed, it is our belief that a basic understanding of theconcepts and an intuitive grasp of the subject are best obtained through solving theexercise problems

Dynamics is a subject in the general field of mechanics, which in turn is a discipline ofclassical physics Mechanics can be divided into two divisions: solid mechanics and fluidmechanics Solid mechanics may be further divided into flexible mechanics and rigidmechanics Flexible mechanics includes such subjects as strength of materials, elasticity,viscoelasticity, plasticity, and continuum mechanics Alternatively, aside from statics,dynamics is the essence of rigid mechanics Figure 1.2.1 contains a chart showing thesesubjects and their relations to one another

is concerned primarily with the analysis of forces and force systems and the determination

of equilibrium configurations In contrast, dynamics is a study of the behavior of movingrigid body systems As seen in Figure 1.2.1, dynamics may be subdivided into three sub-subjects: kinematics, inertia, and kinetics

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2 Dynamics of Mechanical Systems

regard to the cause of the motion matics includes an analysis of the posi-

Kine-t i o n s , d i s p l a c e m e n Kine-t s , Kine-t r a j e c Kine-t o r i e s ,velocities, and accelerations of the mem-bers of the system. Inertia is a study of themass properties of the bodies of a systemand of the system as a whole in variousconfigurations. Kinetics is a study of forces

Forces are generally divided into twoclasses: applied (or “active”) forces and iner- tia (or “passive”) forces Applied forcesarise from contact between bodies andfrom gravity; inertia forces occur due to themotion of the system

The study of dynamics is based upon several fundamental concepts and basic assumptionsthat are intuitive and based upon common experience: time, space, force, and mass Time

is a measure of change or a measure of a process of events; in dynamics, time is assumed

to be a continually increasing, non-negative quantity Space is a geometric region whereevents occur; in the study of dynamics, space is usually defined by reference frames orcoordinate systems Force is intuitively described as a push or a pull The effect of a forcedepends upon the magnitude, direction, and point of application of the push or pull; aforce is thus ideally suited for representation by a vector. Mass is a measure of inertiarepresenting a resistance to change in motion; mass is the source of gravitational attractionand thus also the source of weight forces

In our study we will assume the existence of an inertial reference frame, which is simply

a reference frame where Newton’s laws are valid More specifically, we will assume theEarth to be an inertial reference frame for the range of systems and problems considered

in this book

Newton’s laws may be briefly stated as follows:

1 In the absence of applied forces, a particle at rest remains at rest and a particle

in motion remains in motion, moving at a constant speed along a straight line

2 A particle subjected to an applied force will accelerate in the direction of theforce, and the acceleration will be proportional to the magnitude of the forceand inversely proportional to the mass of the particle Analytically, this may beexpressed as

(1.3.1)where F is the force (a vector), m is the particle mass, and a is the resultingacceleration (also a vector)

3 Within a mechanical system, interactive forces occur in pairs with equal tudes but opposite directions (the law of action and reaction)

magni-F= ma

FIGURE 1.2.1

Subdivisions of mechanics.

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Introduction 3

Particular terminology is associated with dynamics, and specifically with mechanicalsystem dynamics, which we will use in the text We will attempt to define the terms as

we need them, but it might also be helpful to mention some of them here:

purposes, dynamic events will occur

locating the points of a space Typical reference frames employ Cartesian axessystems

in the description of its motion and of its response to forces applied to it “Small”

is, of course, a relative term A body considered as a particle may be small insome contexts but not in others (for example, an Earth satellite or an automobile).Particles are generally identified with points in space, and they generally havefinite masses

or constant, such as a sandstone The number of particles in a body is usuallyquite large A reference frame may be regarded, for kinematic purposes, as arigid body whose particles have zero masses

move The number of degrees of freedom possessed by a particle, body, or system

is defined as the number of geometric parameters (for example, coordinates,distances, or angles) needed to uniquely describe the location, orientation, and/

or configuration of the particle, body, or system

Con-straints can be either geometric (holonomic) or kinematic (nonholonomic)

trans-mitting, and/or changing forces and motion

The three general categories of machines are:

transmit motion between rotating shafts

objec-tives are to transmit motion between a rotating member and a nonrotatingmember The term “cam” is sometimes also used to describe a gear tooth

motion of a rigid body or the motion of a point of a body along a curve

• A link is a connective member of a machine or a mechanism A link maintains

a constant distance between two points of a mechanism, although links may beone way, such as cables

• A driver is an “input” link that stimulates a motion

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4 Dynamics of Mechanical Systems

elements of a mechanism Two elements brought together by a joint are times called kinematic pairs Figure 1.4.1 shows a number of commonly used joints(or kinematic pairs)

some-• A kinematic chain is a series of links that are either joined together or are in contactwith one another A kinematic chain may contain one or more loops A loop is

a chain whose ends are connected An open chain (or “open tree”) contains noloops, a simple chain contains one loop, and a complex chain involves more thanone loop or one loop with open branches

Joint Name

Schematic Representation

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Introduction 5

Because vectors are used extensively in the text,

it is helpful to review a few of their fundamental

concepts We will expand this review in Chapter

2 Mathematically, a vector may be defined as an

element of a vector space (see, for example,

Ref-erences 1.1 to 1.3) For our purposes, we may think

of a vector simply as a directed line segment

Figure 1.5.1 shows some examples of vectors

as directed line segments In this context, vectors

are seen to have several characteristics:

magni-tude, orientation, and sense The magnitude of a

vector is simply its length; hence, in a graphical

representation as in Figure 1.5.1, the magnitude

is simply the geometrical length (Observe, for example, that vector 2B has a length andmagnitude twice that of vector B.) The orientation of a vector refers to its inclination inspace; this inclination is usually measured relative to some fixed coordinate system The

repre-sentation Observe, for example, in Figure 1.5.1 that vectors A and –A have opposite sense.The combined characteristics of orientation and sense are sometimes called the direction

of a vector

In this book, we will use vectors to represent forces, velocities, and accelerations Wewill also use them to locate points and to indicate directions The units of a vector arethose of its magnitude In turn, the units of the magnitude depend upon the quantity thevector represents For example, if a vector represents a force, its magnitude is measured

in force units such as Newtons (N) or pounds (lb) Alternatively, if a vector representsvelocity, its units might be meters per second (m/sec) or feet per second (ft/sec) Hence,vectors representing different quantities will have graphical representations with differentlength scales (A review of specific systems of units is presented in Section 1.7.)

Because vectors have the characteristics of magnitude and direction they are distinctfrom scalars, which are simply elements of a real or complex number system For example,the magnitude of a vector is a scalar; the direction of a vector is not a scalar To distinguishvectors from scalars, vectors are printed in bold-face type, such as V Also, because themagnitude of a vector is never negative (length is

never negative), absolute-value signs are used to

designate the magnitude, such as V.

In the next chapter, we will review algebraic

oper-ations of vectors, such as the addition and

multipli-cation of vectors In preparation for this, it is helpful

to review the concept of multiplication of vectors by

scalars Specifically, if a vector V is multiplied by a

scalar s, the product, written as sV, is a vector whose

magnitude is sV, where s is the absolute

value of the scalar s The direction of sV is the same

as that of V if s is positive and opposite that of V if

s is negative Figure 1.5.2 shows some examples of

products of scalars and vectors

-(3/2)V

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6 Dynamics of Mechanical Systems

Two kinds of vectors occur so frequently that they deserve special attention: zero vectors

and unit vectors A zero vector is simply a vector with magnitude zero A unit vector is a

vector with magnitude one; unit vectors have no dimensions or units

Zero vectors are useful in equations involving vectors Unit vectors are useful for

separating the characteristics of vectors That is, every vector V may be expressed as the

product of a scalar and a unit vector In such a product, the scalar represents the magnitude

of the vector and the unit vector represents the direction Specifically, if V is written as:

(1.5.1)where s is a scalar and n is a unit vector, then s and n are:

(1.5.2)

This means that given any non-zero vector V we can always find a unit vector n with the

same direction as V; thus, n represents the direction of V

We can represent a reference frame by identifying it with a coordinate–axes system such

as a Cartesian coordinate system Specifically, we have three mutually perpendicular lines,

called axes, which intersect at a point O called the origin, as in Figure 1.6.1 The space is

then filled with “points” that are located relative to O by distances from O to P measured

along lines parallel to the axes These distances form sets of three numbers, called the

coordinates of the points Each point is then associated with its coordinates

The points in space may also be located relative to O by introducing additional lines

conveniently associated with the points together with the angles these lines make with

the mutually perpendicular axes The coordinates of the points may then involve these

angles

To illustrate these concepts, consider first the Cartesian coordinate system shown in

Figure 1.6.2, where the axes are called X, Y, and Z Let P be a typical point in space Then

the coordinates of P are the distances x, y, and z from P to the planes Y–Z, Z–X, and X–Y,

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Consider the task of locating P relative to the origin O by moving from O to P along lines parallel to X, Y, and Z, as shown in Figure 1.6.3 The coordinates may then be interpreted as the distances along these lines The distance d from O to P is then given by

the Pythagorean relation:

(1.6.1)

Finally, the point P is identified by either the name P or the set of three numbers (x, y, z).

To illustrate the use of additional lines and angles, consider the cylindrical coordinate

system shown in Figure 1.6.4 In this system, a typical point P is located relative to the origin O by the coordinates (r, θ, z) measuring: (1) the distance r along the newly introduced

radial line, (2) the inclination angle θ between the radial line and the X-axis, and (3) the distance z along the line parallel to the Z-axis, as shown in Figure 1.6.4.

By comparing Figures 1.6.3 and 1.6.4 we can readily obtain expressions relating Cartesianand cylindrical coordinates Specifically, we obtain the relations:

(1.6.2)

and

(1.6.3)

As a third illustration, consider the coordinate system shown in Figure 1.6.5 In this

case, a typical point P is located relative to the origin O by the coordinates (ρ, φ, θ)measuring the distance and angles as shown in Figure 1.6.5 Such a system is called a

spherical coordinate system.

θθ

θ

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By comparing Figures 1.6.3 and 1.6.5, we obtain the following relations between theCartesian and spherical coordinates:

(1.6.4)

and

(1.6.5)

The uses of vectors and coordinate systems are closely related To illustrate this, consider

again the Cartesian coordinate system shown in Figure 1.6.6 Let the unit vectors nx, ny,

and nz be parallel to the X-, Y-, and Z-axes, as shown Let p be a position vector locating

P relative to O (that is, p is OP) Then it is readily seen that p may be expressed as the

vector sum (see details in the next chapter):

ρφθ

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1.7 Systems of Units

In this book, we will use both the English and the International unit systems On occasion,

we will want to make conversions between them Table 1.7.1 presents a listing of unitconversion factors for commonly occurring quantities in mechanical system dynamics

m/sec 2 ft/sec 2 3.280 840 × 10 0 m/sec 2 in./sec 2 3.937 008 × 10 1 m/sec 2 cm/sec 2 1.000 000 * × 10 2

in./sec 2 ft/sec 2 8.333 333 × 10 –2 in./sec 2 m/sec 2 2.540 000 * × 10 –2 in./sec 2 cm/sec 2 2.540 000 * × 10 0

cm/sec 2 ft/sec 2 3.280 840 × 10 –2 cm/sec 2 in./sec 2 3.937 008 × 10 –1 cm/sec 2 m/sec 2 1.000 000 * × 10 –2

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ft lb/sec Nm/sec (or W) 1.355 818 × 10 0

lb/in 2 (or psi) lb/ft 2 1.440 000 * × 10 2 lb/ft 2 N/m 2 (or Pa) 4.788 026 × 10 1 lb/ft 2 lb/in 2 (or psi) 6.944 444 × 10 –3 N/m 2 (or Pa) lb/in 2 (or psi) 1.450 377 × 10 –4 N/m 2 (or Pa) lb/ft 2 2.088 543 × 10 –2

ft/sec cm/sec 3.048 000 * × 10 1 ft/sec km/hr 1.097 280 * × 10 0 ft/sec in./sec 1.200 000 * × 10 1 ft/sec mi/hr (or mph) 6.818 182 × 10 –1 in./sec m/sec 2.540 000 * × 10 –2 in./sec cm/sec 2.540 000 * × 10 0 in./sec km/hr 9.144 000 * × 10 –2

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by providing exercises (or problems) for the reader These problems, appearing at the ends

of the chapters, are not intended to be burdensome but instead to serve as a learning aidfor the reader In addition, references will be provided for parallel study and for more in-depth study

TABLE 1.7.1 (CONTINUED)

Conversion Factors between English and International Unit Systems

To Convert Multiply by

in./sec mi/hr (or mph) 5.681 818 × 10 –2 mi/hr (or mph) m/sec 4.470 400 * × 10 –1 mi/hr (or mph) km/hr 1.609 344 × 10 0 mi/hr (or mph) ft/sec 1.466 667 × 10 0 mi/hr (or mph) in./sec 1.760 000 * × 10 1

Note: cm, centimeters; deg, degrees; ft, feet; g, grams; g, gravity acceleration (taken as 32.2 ft/sec2 ); HP, horsepower; in., inches; J, Joules; kg, kilograms; lb, pounds; m, meters; mi, miles; mph, miles per hour; N, Newtons; Pa, Pascals; psi, pounds per square inch; rad, radius; rpm, revolutions per minute; sec, seconds; W, watts.

* Exact by definition.

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1.5 Hsu, H P., Vector Analysis, Simon & Schuster Technical Outlines, New York, 1969.

1.6 Brand, L., Vector and Tensor Analysis, Wiley, New York, 1964.

1.7 Kane, T R., Analytical Elements of Mechanics, Vol 2, Academic Press, New York, 1961 1.8 Kane, T R., and Levinson, D A., Dynamics: Theory and Applications, McGraw-Hill, New York,

1985, pp 361–371.

1.9 Likins, P W., Elements of Engineering Mechanics, McGraw-Hill, New York, 1973.

1.10 Beer, F P., and Johnston, E R., Jr., Vector Mechanics for Engineers, 6th ed., McGraw-Hill, New

York, 1996.

1.11 Yeh, H., and Abrams, J I., Principles of Mechanics of Solids and Fluids, Vol 1, Particle and Body Mechanics, McGraw-Hill, New York, 1960.

Rigid-1.12 Haug, E J., Intermediate Dynamics, Prentice Hall, Englewood Cliffs, NJ, 1992.

1.13 Meriam, J L., and Kraige, L G., Engineering Mechanics, Vol 2, Dynamics, 3rd ed., John Wiley

& Sons, New York, 1992.

1.14 Hibbler, R C., Engineering Mechanics: Statics and Dynamics, Macmillan, New York, 1974 1.15 Shelley, J P., Vector Mechanics for Engineers, Vol II, Dynamics, Schaum’s Solved Problems Series,

McGraw-Hill, New York, 1991.

1.16 Jong, I C., and Rogers, B G., Engineering Mechanics, Statics and Dynamics, Saunders College

Publishing, Holt, Rinehart & Winston, Philadelphia, PA, 1991.

1.17 Huston, R L., Multibody Dynamics, Butterworth–Heinemann, Stoneham, MA, 1990.

1.18 Higdon, A., and Stiles, W B., Engineering Mechanics, Vol II, Dynamics, 3rd ed., Prentice Hall,

Englewood Cliffs, NJ, 1968.

1.19 Meirovitch, L., Methods of Analytical Dynamics, McGraw-Hill, New York, 1970.

1.20 Paul, B., Kinematics and Dynamics of Planar Machinery, Prentice Hall, Englewood Cliffs, NJ, 1979 1.21 Sneck, H J., Machine Dynamics, Prentice Hall, Englewood Cliffs, NJ, 1991.

1.22 Mabie, H H., and Reinholtz, C F., Mechanisms and Dynamics of Machinery, 4th ed., Wiley, New

York, 1987.

1.23 Ginsberg, J H., Advanced Engineering Dynamics, Harper & Row, New York, 1988.

1.24 Shames, I H., Engineering Mechanics, Prentice Hall, Englewood Cliffs, NJ, 1980.

1.25 Liu, C Q., and Huston, R L., Formulas for Dynamic Analyses, Marcel Dekker, New York, 1999.

Problems

Section 1.5 Vector Review

P1.5.1: Suppose a velocity vector V is expressed in the form:

where i, j, and k are mutually perpendicular unit vectors.

a Determine the magnitude of V.

b Find a unit vector n parallel to V and having the same sense as V.

Section 1.6 Reference Frames and Coordinate Systems

P1.6.1: Suppose the Cartesian coordinates (x, y, z) of a point P are (3, 1, 4).

a Find the cylindrical coordinates (r, θ, z) of P.

b Find the spherical coordinates (ρ, φ, θ) of P

V= + +3i 4j 12 ft seck

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P1.6.2: Suppose the Cartesian coordinates (x, y, z) of a point P are (–1, 2, –5).

a Find the cylindrical coordinates (r, θ, z) of P.

b Find the spherical coordinates (ρ, φ, θ) of P.

P1.6.3: Suppose the cylindrical coordinates (r, θ, z) of a point P are (4, π/6, 2).

a Find the Cartesian coordinates (x, y, z) of P.

b Find the Spherical coordinates (ρ, φ, θ) of P.

P1.6.4: Suppose the spherical coordinates (ρ, φ, θ) of a point P are (7, π/4, π/3).

a Find the Cartesian coordinates (x, y, z) of P.

b Find the cylindrical coordinates (r, θ, z) of P.

P1.6.5: Consider the cylindrical coordinate system (r, θ, z) with z identically zero This

system then reduces to the “polar coordinate” system as shown in Figure P1.6.1

a Express the coordinates (x, y) in terms of (r, θ)

b Express the coordinates (r, θ) in terms of (x, y).

P1.6.6: See Problem 1.6.5 Let n x and n y be unit vectors parallel to the X- and Y-axes, as shown Let n r and nθ be unit vectors parallel and perpendicular to the radial line as shown

a Express n r and nθ in terms of n x and n y

b Express n x and n y in terms of n r and nθ

Section 1.7 Systems of Units

P1.7.1: An automobile A is traveling at 60 mph.

a Express the speed of A in ft/sec.

b Express the speed of A in km/sec.

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P1.7.2: A person weighs 150 lb.

a What is the person’s weight in N?

b What is the person’s mass in slug?

c What is the person’s mass in kg?

P1.7.3: An automobile A accelerates from a stop at 3 mph/sec.

a Express the acceleration in ft/sec2

b Express the acceleration in m/sec2

c Express the acceleration in g.

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Recall that the characteristics of a vector are its magnitude, its orientation, and its sense.Indeed, we could say that a vector is defined by its characteristics The concept of vectorequality follows from this definition: Specifically, two vectors are equal if (and only if)they have the same characteristics Vector equality is fundamental to the development ofvector algebra For example, if vectors are equal, they may be interchanged in vectorequations, which enables us to simplify expressions It should be noted, however, thatvector equality does not necessarily denote physical equality, particularly when the vec-tors model physical quantities This occurs, for example, with forces We will explore thisconcept later.

Two fundamental ideas useful in relating mathematical and physical quantities are theconcepts of fixed and free vectors A fixed vector has its location restricted to a line fixed

in space To illustrate this, consider the fixed line L as shown in Figure 2.2.1 Let v be avector whose location is restricted to L, and let the location of v along L be arbitrary Then

v is a fixed vector Because the location of v along L is arbitrary, v might even be called a

sliding vector.Alternatively, a free vector is a vector that may be placed anywhere in space if itscharacteristics are maintained Unit vectors such as nx, ny, and nz shown in Figure 2.2.1are examples of free vectors Most vectors in our analyses will be free vectors Indeed, wewill assume that vectors are free vectors unless otherwise stated

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16 Dynamics of Mechanical Systems

Vectors obey the parallelogram law of addition This is a simple geometric algorithm forunderstanding and exhibiting the powerful analytical utility of vectors To see this, con-sider two vectors A and B as in Figure 2.3.1 Let A and B be free vectors To add A and

B, let them be connected “head-to-tail” (without changing their characteristics) as in Figure2.3.2 That is, relocate B so that its tail is at the head of A Then, the sum of A and B, calledthe resultant, is the vector R connecting the tail of A to the head of B, as in Figure 2.3.3.That is,

(2.3.1)The vectors A and B are called the components of R

The reason for the name “parallelogram law” is that the same result is obtained if thehead of B is connected to the tail of A, as in Figure 2.3.4 The two ways of adding A and

B produce a parallelogram, as shown The order of the addition — that is, which vector

is taken first and which is taken second — is therefore unimportant; hence, vector addition

is commutative That is,

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Review of Vector Algebra 17

Vector subtraction may be defined from vector addition Specifically, the difference of

two vectors A and B, written as AB, is simply the sum of A with the negative of B That is,

(2.3.3)

An item of interest in vector addition is the magnitude of the resultant, which may be

determined using the geometry of the parallelogram and the law of cosines For example,

in Figure 2.3.5, let θ be the angle between A and B, as shown Then, the magnitude of the

resultant R is given by:

(2.3.4)

Example 2.3.1: Resultant Magnitude

To illustrate the use of Eq (2.3.4), suppose the magnitude of A is 15 N, the magnitude of

B is 12 N, and the angle θ between A and B is 60˚ Then, the magnitude of the resultant R is:

(2.3.5)

Observe from Eq (2.3.4) that if we double the magnitude of both A and B, the magnitude

of the resultant R is also doubled Indeed, if we multiply A and B by any scalar s, R will

also be multiplied by s That is,

(2.3.6)

This means that vector addition is distributive with respect to scalar multiplication

Next, suppose we have three vectors A, B, and C, and suppose we wish to find their

resultant Suppose further that the vectors are not parallel to the same plane, as, for

example, in Figure 2.3.6 The resultant R is obtained in the same manner as before That

is, the vectors are connected head to tail, as depicted in Figure 2.3.7 Then, the resultant

R is obtained by connecting the tail of the first vector A to the head of the third vector C

as in Figure 2.3.7 That is,

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18 Dynamics of Mechanical Systems

Example 2.3.2: Resultant Magnitude in Three Dimensions

As an illustration, suppose C is perpendicular to the plane of vectors A and B of Example

2.3.1 and suppose the magnitude of C is 10 N Then, from the results of Eq (2.3.5), the

magnitude of R is:

(2.3.8)

This procedure has several remarkable features First, as before, the order of the

compo-nents in Eq (2.3.7) is unimportant That is,

(2.3.9)

Second, to obtain the resultant R we may first add any two of the vectors, say A and B,

and then add the resultant of this sum to C This means the summation in Eq (2.3.7) is

associative That is,

(2.3.10)

This feature may be used to obtain the magnitude of the resultant by repeated use of the

law of cosines as before

Third, observe that configurations exist where the magnitude of the resultant is less

than the magnitude of the individual components Indeed, the magnitude of the resultant

could be zero

Finally, with three or more components, the procedure of finding the magnitude of the

resultant by repeated use of the law of cosines is cumbersome and tedious

An attractive feature of vector addition is that the resultant magnitude may be obtained

by strictly analytical means — that is, without regard to triangle geometry This is the

original reason for using vectors in analysis We will explore this further in the next section

FIGURE 2.3.6

Vectors A, B, and C to be added.

FIGURE 2.3.7 Resultant of vectors A, B, and C of Figure 2.3.6.

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2.4 Vector Components

Consider again Eq (2.3.7) where we have the vector sum:

(2.4.1)

Instead of thinking of this expression as a sum of components, consider it as a

represen-tation of the vector R Suppose further that the components A, B, and C happen to be

mutually perpendicular and parallel to coordinate axes, as shown in Figure 2.4.1 Then,

by the Pythagoras theorem, the magnitude of R is simply:

(2.4.2)

To develop these ideas still further, suppose that nx, ny, and nz are unit vectors parallel

to X, Y, and Z, as in Figure 2.4.2 Then, from our discussion in Chapter 1, we see that A,

B , and C can be expressed in the forms:

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Then, the magnitude of R is:

(2.4.5)

A question that arises is what if A, B, and C are not mutually perpendicular? How then

can we find the magnitude of the resultant? A powerful feature of the vector method isthat the same general procedure can be used regardless of the directions of the components

All that is required is to express the components as sums of vectors parallel to the X-, Y-, and Z-axes (or other convenient mutually perpendicular directions) For example, suppose

a vector A is inclined relative to the X-, Y-, and Z-axes, as in Figure 2.4.3 Let θx, θy, and

θz be the angles that A makes with the axes Next, let us express A in the desired form:

(2.4.6)

where Ax, Ay, and Az are vector components of A parallel to X, Y, and Z A x, Ay, and Az

may be considered as “projections” of A along the X-, Y-, and Z-axes Their magnitudes

are proportional to the magnitude of A and the cosines of the angles θx, θy, and θz That is,

(2.4.7)

where a x , a y , and a z are defined as given in the equations As before, let nx, ny, and nz be

unit vectors parallel to X, Y, and Z Then, A x, Ay, and Az can be expressed as:

θθθ

θθθ

A=a xnx+a yny+a znz=Acosθxnx+Acosθyny+Acosθznz

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Then, the magnitude of A is simply:

Example 2.4.1: Vector Addition Using Components

To illustrate the use of these ideas, consider again the vectors of Examples 2.3.1 and 2.3.2

(see Figures 2.3.6 and 2.3.7) Specifically, let A be parallel to the Y-axis with a magnitude

of 15 N Let B be parallel to the Y–Z plane and inclined at 60˚ relative to the Y-axis Let the magnitude of B be 12 N Let C be parallel to the X-axis with a magnitude of 10 N

(Figure 2.4.4) As before let nx, ny, and nz be unit vectors parallel to the X-, Y-, and Z-axes.

Then, A, B, and C may be expressed as:

Example 2.4.2: Direction Cosines

A particle P is observed to move on a curve C in a Cartesian reference frame R, as shown

in Figure 2.4.5 The coordinates of P are functions of time t Suppose that at an instant of interest x, y, and z have the values 8 m, 12 m, and 7 m, respectively Determine the orientation angles of the line of sight of an observer of P if the observer is at the origin

O Specifically, determine the angles θ, θ , and θ of OP with the X-, Y-, and Z-axes.

A=(a x2+ +a y2 a z2)1 2/

n=cosθxnx+cosθyny+cosθznz

1=cos2θx+cos2θy+cos2θz

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