Lien doi: 10.1016/j.procir.2014.06.095 ScienceDirect 21st CIRP Conference on Life Cycle Engineering An Evaluation Method Based on Mechanical Parts Structural Characteristics for Proact
Trang 1Procedia CIRP 15 ( 2014 ) 207 – 211
2212-8271 © 2014 Published by Elsevier B.V This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/3.0/)
Selection and peer-review under responsibility of the International Scientific Committee of the 21st CIRP Conference on Life Cycle
Engineering in the person of the Conference Chair Prof Terje K Lien
doi: 10.1016/j.procir.2014.06.095
ScienceDirect
21st CIRP Conference on Life Cycle Engineering
An Evaluation Method Based on Mechanical Parts Structural
Characteristics for Proactive Remanufacturing
Xuan Zhoua,*, Qingdi Kea, Shouxu Songa, Ming Liua
a School of Mechanical and Automotive Engineerin, Hefei University of Technology, No.193 Tunxi Road, Hefei, 230009, China
* Corresponding author Tel.: +86-15256028667; fax: +00-86-0551-62901775.E-mail address:1991zhouxuan@163.com
Abstract
Currently, due to the uncertainty of operation loading and service time, sometimes the mechanical parts are difficultly or hardly to be remanufactured On the otherwise, it is also wasteful to remanufacture these parts too early In remanufacturing, a large number of inspections and evaluations of failure condition in the parts have to be done, which are uneconomical and inefficient In this paper, the concept of proactive remanufacturing is given, with considering remanufacturability in the initial design stage of parts Analyzing the performance deteriorating law, one main characteristic of proactive remanufacturing is the best timing point to be remanufactured Informed by modular design theory, structural characteristics are extracted, and the mapping relationship of design parameters and remanufacturability of parts is established Moreover, the proactive remanufacturing factor is hierarchically and qualitatively expressed as a comprehensive index to measure parts overall remanufacturability, which can implement the design parameters feedback to adjust the best timing point to avoid one-sided optimization of design parameters Finally, an engine crankshaft is given as an instance to validate this method
© 2014 The Authors Published by Elsevier B.V
Selection and peer-review under responsibility of the International Scientific Committee of the 21st CIRP Conference on Life Cycle
Engineering in the person of the Conference Chair Prof Terje K Lien
Keywords: Uncertainty; Remanufacturability; Proactive Remanufacturing; Structural Characteristic
1 Introduction
Remanufacturing engineering is a series of technical measures
or engineering activities made to restore the retired
electromechanical products, with considering the whole life
cycle design and management of electromechanical products,
aimed at achieving the performance improvement of
electromechanical products, taking high-quality, high
efficiency, energy-saving, material-saving and environmental
protection as principles, and taking advanced technology and
industrialization production as means[1] Domestic and
overseas engineering applications show that both performance
and quality of remanufacturing products can reach and even
above the originals’, meanwhile the cost is only one third of
the new one, with saving 60% energy, and 70% materials, and
decreasing the negative impacts on the environment [2]
However, not all of the retired electromechanical products
can be remanufactured The precondition of remanufacturing
is that the parts keep a good status of remanufacturability at the end of life cycle Zhang Guoqing et al developed an assessment model for remanufacturability based on the assimilability assessing model, consisting of two modular constructions: technological module and economical module [3] Zhang Zongxiang et al analyzed the influential factors of the remanufactureability on the basis of characteristics of product, and determine the hierarchical and structural relationships between each index and the calculation formula
of each index [4] Zeng Shoujin et al established a micro assessment model, a macro assessment model and a comprehensive assessment model of green remanufacturing for waste electromechanical products by analyzing TOERE, energy sources, time and service ability factors[5]
Due to the uncertainty of service time and performance of used products, it is usually to remanufacture the “over-used” product which means higher cost or even can't be remanufactured On the other hand, it will be “previous
© 2014 Published by Elsevier B.V This is an open access article under the CC BY-NC-ND license
(http://creativecommons.org/licenses/by-nc-nd/3.0/)
Selection and peer-review under responsibility of the International Scientifi c Committee of the 21st CIRP Conference on Life Cycle Engineering in the person of the Conference Chair Prof Terje K Lien
Trang 2remanufacturing” which means a huge waste [6] The current
main solution is to conduct inspection and testing, which is
uneconomical and inefficient Whether the product could be
remanufactured and the remanufacturing performance is good,
it depends deeply on the design stage [7-9]
To meet this issue, the concept of proactive
remanufacturing is presented in this paper It is to take
remanufacturability as an important product performance into
account in the initial design stage From the perspective of
modular design, structural characteristics are extracted to
represent the overall parts structures, based on which the
mapping relationship of design parameters and
remanufacturability of parts is established And then, through
the hierarchical and qualitative analysis, the proactive
remanufacturing factor is introduced as a comprehensive
index to measure parts overall remanufacturability As a
result, the proactive remanufacturing can be conducted in an
appropriate time to obtain the maximum economic benefit,
with ignoring the uncertainty of used products
2 The concept of proactive remanufacturing and the best
timing point
Nowadays, the process of products remanufacturing normally
consists of four key stages [10]: Disassembly/Cleaning,
Inspection/Grading, Reprocessing, and Reassembly/Testing,
as shown in Fig.1 Due to the uncertainty in performance
status of remanufacturing blank, inspection and grading of
every unit is an essential and massive work before
remanufacturing, which meanwhile limits the
remanufacturing industrialization
Inspection/Grading Disassembly/Cleaning
Reprocessing
Reassembly/Testing
Used products
Remanufactured products
Fig 1 Key process of products remanufacturing
2.1 Proactive remanufacturing
Proactive remanufacturing is a series of engineering activities
made to implement the remanufacture of products actively at
some point during the service time, aimed at guaranteeing
products’ function and performance of the original design,
and taking high-quality, high efficiency, energy and material
saving, environmental protection and the total service time
being longest as principles There are three important characteristics of proactive remanufacturing[11]:
x Proactive Instead of conducting remanufacturing after products being retired, the timing is determined in advance, through comprehensive decision method When reached the time, the product should be remanufactured actively
x Batched Proactive remanufacturing reduced the uncertainty of blanks As a result, the products can be remanufactured in batches, which made a great increase in efficiency
x Objective The performance of products with the same design scheme and batch will decrease Then the timing exists objectively
to achieve comprehensive optimum of indexes in product life cycle
2.2 The best timing point
Determined by the performance deteriorating law of parts,
there exists the best timing point, T 0, at which conducting remanufacturing is most appropriate in both technologically and economically, as shown in Fig.2
D
Remanufacture Performance
Fig 2 Performance deteriorating curve of parts (Before and after remanufacturing)
Illustrational, D refers to the design performance; D’(t)
refers to the generated performance damage after service time
t After conducting remanufacturing at time t, the performance recovery capacity is H(t), then figure out the total performance of new life cycle is D-D’(t)+H(t)
P i is selected as the index to measure the remanufacturability of some structural characteristic, and then
P i is defined by [12],
- ' ( ) ( ) ' ( )
i
D
P
t
(1)
where, i=1, 2, , n
When t=T 0, it is the most appropriate time to conduct remanufacturing in both technologically and economically
Assumed that the given service life of parts is T g, from the perspective of proactive remanufacturing and optimization,
there should be T 0 =T g The given service life, T g is determined
by the design requirements, which cannot be changed usually
Trang 3Thus, T 0 should be variable to get approach to T g By
changing design parameters, T 0 can be adjusted
3 Structural Characteristics and the proactive
remanufacturing factor
The remanufacturability, design information, service
performance and failure modes are interrelated In this paper,
from the perspective of modular design [13-15], the overall
parts structures can be represented by several structural
characteristics (S i ) Thus, the change of T 0, namely the change
of remanufacturability at the end of life cycle can be achieved
by changing design parameters of structural characteristics
3.1 Structural characteristics
According to the failure statistics, empirical evaluation and
theoretical analysis, S i can be selected from the weak or
unstable structures,which are prone to functional failure For
example, as to shaft components, since structural strength is
deeply affected by journal and fatigue failure are prone to
occur in shaft shoulder and transition fillet because of stress
concentration S i can be selected from the journal, shaft
shoulder and transition fillet
3.2 The proactive remanufacturing factor
Generally, according to theory of “Buckets effect”, the overall
performance is determined by the length of the shortest board
[16] In order to improve parts performance, the design
parameters of weak structures, namely the short board is the
object to be optimized However, from the overall
perspective, due to different structures being closely
interrelated, the interaction effects between different
structures may cover or distort the main effect of single
structure, resulting in that the one-sided pursuit of
optimization of each single structure may not achieve the
expected overall improvement of performance
Due to the influence degree of S i on overall performance
are different, directive comparison of P i is of no use By
reference to the fuzzy comprehensive evaluation, a
comprehensive index, the proactive remanufacturing factor
(f AR) is proposed in this paper to measure parts overall
remanufacturability Assumed that there are n structural
characteristics, then after t, the proactive remanufacturing
factor (f AR) is defined by:
(2) For achieving the quantitative comparison of
remanufacturability, the weighting factor (ω i)is introduced to
conduct the equalization processing of each structural
characteristic And then, the influence degree of part,ω i •P i
are equal and comparable Thus, f AR can be described by:
1 2
1
n
i n
f
Z Z
Z Z
ª º
« »
« »
« »
« »
¬ ¼
¦
(3) where, i=1, 2, , n
ω i can be figured out with the method, Fuzzy Analytical
Hierarchy Process (FAHP) [17] f AR is a comprehensive index
to measure parts overall remanufacturability When f AR>1, it refers to that the part has a good status of remanufacturability
at the end of life cycle, and can be remanufactured The larger
f AR is, the better the overall remanufacturability is
Apparently, the flow chart of evaluation method based on structural characteristics can be described, as shown in Fig.3
Parts
S1 S2 Sn
ω i P i ω i P i ω i P i
fAR
Characteristic Extraction
Parts Database, Design Database, Statistical Database, Failure Statistics, Empirical Analysis, Bench Test, Analog Simulation,
Ă Ă
Feedback
Functional Requirements
Design Parameters
Design Information Model
T0
Tg
Approach to
Modularization Model
Comprehensive Index
Fig 3 Flow chart of evaluation method based on structural characteristics
It's important to note that f AR is mostly aimed at single component For products with several components need to be remanufactured, the life time of different components should
be matched With the evaluation method proposed above, the
best timing point T 0 of different components should be adjusted in cooperative relationship, such as being equal or multiple, to achieve the overall optimization More researches will be done about this problem
4 Case study
The crankshaft is a core part of automobile engine; the crankshaft remanufacturing has great research significance and economic benefits In this paper, the crankshaft of a six-cylinder engine is taken as the research object to validate the effectiveness and feasibility of the method above
4.1 Determination of S i and ω i
The main failure modes of crankshaft are fatigue fracture, wear and bending-torsion deformation If the crankshaft is fatigue fractured or having potential cracks after testing, it cannot be remanufactured Then, the crankshaft will generally
be material recycled through melting treatment Besides, it is supposed that the wear on the crankshaft can be completely repaired under current technology
With the aid ofHeavy Engine Remanufacturing Company,
an abundant Statistic Database about crankshaft is obtained After failure statistics, empirical evaluation and theoretical analysis, eight structural characteristics as selected They are,
respectively, S 1 - Diameter of journals, S 2- Aperture of oil
hole, S 3 - Radius of transition fillet, S 4-Tortuosity of journals,
Trang 4S 5 -Cylindricity of journals, S 6 -Circular run-out of journals, S 7
-Parallelism between journals and S 8-Axial clearance
According to Fuzzy Analytical Hierarchy Process, after
multiple comparisons, listing the comparison matrix,
calculation, and then quantization of comparison, the original
weight (ω i o) of each structural characteristic is figured out
The relative weighting comparisons and ω i o of structural characteristics are shown in Table 1 And then, conducting
normalization processing of ω i o above, ω i is figured out, as shown in Table 1
Table 1 Relative weighting compositions and ωi of structural characteristics
4.2 Determination of P i
P i is an index used to measure the remanufacturability at the
end of life cycle, the selection of P i is universal According to
different requirements, the appropriate indexes are selected
As to engine crankshaft, since the main failure modes of
crankshaft are fatigue and wear, fatigue life and wear loss can
be chosen as the performance indexes It is supposed that the
wear on the crankshaft can be completely repaired under the
current technology Therefore, the fatigue failure of
crankshaft is considered merely in this paper; further,
selecting fatigue strength representing P i from the perspective
of structural strength
Combining fatigue analysis by FE-SAFE with the Statistic
Database provided by Heavy Engine Remanufacturing
Company, P i is obtained, as shown in Table 2
Table 2 P i of structural characteristics
Cylindricity 0.593
Circular run-out 0.352
Axial clearance 0.609
Calculating the proactive remanufacturing factor, f AR:
1 8 2
1 8
i
Z Z
Z Z
ª º
« »
« »
« »
« »
¬ ¼
¦
=0.1734×1.322+0.1960×1.618+0.2635×1.878+
0.0756×0.832+0.0583×0.593+0.0583×0.352+
0.0583×0.687+0.1166×0.609
=1.2703
Apparently, f AR>1, it refers to that this crankshaft has a good status of remanufacturability at the end of life, and can
be remanufactured Further, by changing the design parameters of structural characteristics, the best timing point,
T 0 gets approach to T g
5 Conclusions
(1)Through proactive remanufacturing, the uncertainty in performance status of retired electromechanical products can
be largely reduced, and it helps to avoid remanufacture the
“over-used” product and “previous remanufacturing” as well Based on structural characteristics of parts, the proactive
remanufacturing factor, f AR is presented to measure parts overall remanufacturability
(2)Through structural characteristics, the mapping relationships of design parameters and remanufacturability of
products is established, which provide a way to get T 0
approached to T g As a result, the proactive remanufacturing can be conducted in an appropriate time to obtain the maximum economic benefit
(3)This design method can be applied in different parts, and the selection of remanufacturability index is diverse according
to different requirements However, this design method still needs further improvement, especially on the extraction and
calculation of index, and the determination of P i (4)With this method proposed, retired products can keep similar remanufacturability at the end of life cycle, which avoids the inefficient inspection of blanks and provides feasibility to realize industrialization
(5) In this paper, f AR is mostly aimed at single component For products with several components need to be remanufactured, further researches on life matching of different components are required
Acknowledgements
This research is supported by National Basic Research Program of China (973 Program, 2011CB013406) and National Natural Science Foundation of China (51305119)
Si Journal Oil hole Fillet Tortuosity Cylindricity Circular run-out Parallelism Axial clearance ωi o
Trang 5References
[1] Xu B.S Theory and technology of equipment remanufacturing
engineering Harbin: National Defence Industry Press; 2007
[2] Xu B.S., Ma S.N., Liu S.C Remanufacturing Engineering in 21st
Century China Mechanical Engineering 2000;11(122):36-39
[3] Zhang G.Q., Jing X.D., Pu G.Q., Wang C.Z., Xu B.S Assessment on
remanufacturability of the automobile engines China Mechanical
Engineering 2005;16(8):739-742
[4] Zhang Z.X., Xiao S.M., Shi Y.Q., Ou D.Y Assessment of remanufacture
ability based on property of product Machine Building & Automation
2010;(1):74-76
[5] Zeng S.J., Jiang J.B., Xu M.S Research on assessment model of
electromechanical products remanufacturability Journal of Fujian
University of Technology 2009;7:271-274
[6] Liu G.F., Liu T., Ke Q.D., Song S.X., Zhou D Time interval
decision-making methods for active remanufacturing product based on game
theory and neural network Journal of Mechanical Engineering
2013;49(7):29-35
[7] Ke X., Martin B., Lee L., Kazem A An evaluation model of product
upgradeability for remanufacture Int J Adv Manuf Technol 2007;35:1-4
[8] Susumu O., Toshimitsu M., Norio O Environmental effects of physical
life span of a reusable unit following functional and physical failures in a
remanufacturing system International Journal of Production Research 2003;41(16):3667-3687
[9] Chen M., Liu X.X Theory of product design for remanufacturing Journal
of Machine Design 2005;22:25-26
[10]Lund R.T Remanufacturing Technology Review, 1984;18(8):87
[11]Liu T Research on time interval decision-making and control methods for active remanufacturing Hefei: Hefei University of Technology; 2012 [12]Song S.X., Liu M., Ke Q.D., Liu G.F Components optimization design for remanufacturing based on residual strength Journal of Mechanical Engineering 2013;49(9):121-127
[13] Gao W.G., Xu Y.S., Chen Y.L., Zhang Q Theory and methodology of generalized modular design Journal of Mechanical Engineering 2007;43(6):48-54
[14] Torstenfelt B., Klarbring A Structural optimization of modular product families with application to car space frame structures Struct Multidisc Optim 2006;32:133–140
[15] Gershenson J.K., Prasad G.J., Allamneni S Modular product design: A life-cycle view Journal of Integrated Design and Process Science 1999;3(4):1-9
[16] Yang G.Y., Zeng D.F., Luo P Metric model considering effect of short board and its application in software trustworthiness Application Research of Computer 2012; 29(1):165-167
[17] Zhang J.J Fuzzy analytical hierarchy process Fuzzy Systems and Mathematics 2000;14(2):80-88