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Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering riveting residual stress

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Abstract

The multi-material assembled light alloy wheel presents an effective lightweight solution for new energy vehicles, but its riveting connection remains a problem. To address this problem, this paper proposed the explicit riveting-implicit springback-implicit fatigue/explicit impact sequence coupling simulation analysis method, analyzed the fatigue and impact performance of the punching riveting connected magnesium/aluminum alloy (Mg/Al) assembled wheel, and constructed some major evaluation indicators. The accuracy of the proposed simulation method was verified by conducting physical experiments of single and cross lap joints. The punching riveting process parameters of the assembled wheel joints were defined as design variables, and the fatigue and impact performance of the assembled wheel was defined as the optimization objective. The connection-performance integration multi-objective optimization design of the assembled wheel considering riveting residual stress was designed via Taguchi experiment, grey relational analysis, analytic hierarchy process, principal component analysis, and entropy weighting methods. The optimization results of the three weighting methods were compared, and the optimal combination of design variables was determined. The fatigue and impact performance of the Mg/Al assembled wheel were effectively improved after optimization.

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Abbreviations

AHP:

Analytic hierarchy process

BCSLIB-EXT:

Boeing’s Extreme Mathematical Library

BFGS:

Broyden-Fletcher-Goldfarb-Shanno

DOE:

Design of experiment

DOF:

Degree of freedom

FE:

Finite element

GRA:

Grey relational analysis

GRG:

Grey relational grade

Mg/Al:

Magnesium/aluminum alloy

PCA:

Principal component analysis

S/R:

Selectively reduced

B :

Comparison judgment matrix

E r(x):

Energy absorption of the rim under the 90° impact condition

SC R-bend(x), SC R-radial(x):

Maximum bending and radial compressive stresses at the rivet, respectively

SC s-bend(x), SC s-radial(x):

Maximum bending and radial compressive stresses at the spoke riveting hole, respectively

ST R-bend(x), ST R-radia(x):

Maximum bending and radial tensile stresses at the rivet, respectively

ST s-bend(x), ST s-radial(x):

Maximum bending and radial tensile stresses at the spoke riveting hole, respectively

S 13-s(x):

Maximum von Mises strain of the spoke under the 13° impact condition

W c, W t :

Weight coefficients of the maximum compressive and tensile stresses, respectively

x 1, x 2 :

Groove diameter and height of the upper riveting die, respectively

x 3 :

Riveting displacement factor

x 4 :

Extension of the rivet rod

x :

Vector of design variables

x L :

Lower limits of the vector x

x U :

Upper limits of the vector x

References

  1. Abe Y, Mori K, Kato T. Joining of high strength steel and aluminium alloy sheets by mechanical clinching with dies for control of metal flow. Journal of Materials Processing Technology, 2012, 212(4): 884–889

    Article  Google Scholar 

  2. Cui J J, Zeng C C, Jiang H, Li G Y. Flat spiral coil design for higher riveting force and energy saving in the electromagnetic riveting process. Journal of Manufacturing Science and Engineering, 2019, 141(10): 101014

    Article  Google Scholar 

  3. Abdelal G F, Georgiou G, Cooper J, Robotham A, Levers A, Lunt P. Numerical and experimental investigation of aircraft panel deformations during riveting process. Journal of Manufacturing Science and Engineering, 2015, 137(1): 011009

    Article  Google Scholar 

  4. Jiang H, Li G Y, Zhang X, Cui J J. Fatigue and failure mechanism in carbon fiber reinforced plastics/aluminum alloy single lap joint produced by electromagnetic riveting. Composites Science and Technology, 2017, 152: 1–10

    Article  Google Scholar 

  5. Zhang X, Yu H P, Su H, Li C F. Experimental evaluation on mechanical properties of a riveted structure with electromagnetic riveting. The International Journal of Advanced Manufacturing Technology, 2016, 83(9–12): 2071–2082

    Article  Google Scholar 

  6. Cui J J, Qi L, Jiang H, Li G Y, Zhang X. Numerical and experimental investigations in electromagnetic riveting with different rivet dies. International Journal of Material Forming, 2018, 11(6): 839–853

    Article  Google Scholar 

  7. Aman F, Cheraghi S H, Krishnan K K, Lankarani H. Study of the impact of riveting sequence, rivet pitch, and gap between sheets on the quality of riveted lap joints using finite element method. The International Journal of Advanced Manufacturing Technology, 2013, 67(1–4): 545–562

    Article  Google Scholar 

  8. de Matos P F P, Moreira P M G P, Camanho P P, de Castro P M S T. Numerical simulation of cold working of rivet holes. Finite Elements in Analysis and Design, 2005, 41(9–10): 989–1007

    Article  Google Scholar 

  9. de Matos P F P, Moreira P M G P, Pina J C P, Dias A M, de Castro P M S T. Residual stress effect on fatigue striation spacing in a cold-worked rivet hole. Theoretical and Applied Fracture Mechanics, 2004, 42(2): 139–148

    Article  Google Scholar 

  10. Jin K, Wang H, Tao J, Tian J M. Effect of the interference fit on the stress distribution and failure mode of a flat-head riveted GLARE joint. Composite Structures, 2020, 235: 111788

    Article  Google Scholar 

  11. Xu W C, Wang D F. Material-structure-process-performance integration multi-objective optimization design for solid rivet joint. Journal of Materials Engineering and Performance, 2021, 30(8): 5541–5556

    Article  Google Scholar 

  12. Jiang H, Luo T, Li G Y, Zhang X, Cui J J. Fatigue life assessment of electromagnetic riveted carbon fiber reinforce plastic/aluminum alloy lap joints using Weibull distribution. International Journal of Fatigue, 2017, 105: 180–189

    Article  Google Scholar 

  13. Sanches R F, de Jesus A M P, Correia J A F O, da Silva A L L, Fernandes A A. A probabilistic fatigue approach for riveted joints using Monte Carlo simulation. Journal of Constructional Steel Research, 2015, 110: 149–162

    Article  Google Scholar 

  14. Horas C S, De Jesus A M P, Calçada R. Efficient computational approach for fatigue assessment of riveted connections. Journal of Constructional Steel Research, 2019, 153: 1–18

    Article  Google Scholar 

  15. da Silva A L L, Correia J A F O, de Jesus A M P, Figueiredo M A V, Pedrosa B A S, Fernandes A A, Rebelo C A S, Berto F. Fatigue characterization of a beam-to-column riveted joint. Engineering Failure Analysis, 2019, 103: 95–123

    Article  Google Scholar 

  16. Maljaars J, Leonetti D, Maas C. Fatigue life prediction of hot riveted double covered butt joints. International Journal of Fatigue, 2019, 124: 99–112

    Article  Google Scholar 

  17. Skorupa M, Machniewicz T, Skorupa A, Schijve J, Korbel A. Fatigue life prediction model for riveted lap joints. Engineering Failure Analysis, 2015, 53: 111–123

    Article  Google Scholar 

  18. Skorupa M, Machniewicz T, Skorupa A, Korbel A. Fatigue life predictions for riveted lap joints. International Journal of Fatigue, 2017, 94: 41–57

    Article  Google Scholar 

  19. Zeng C, Tian W, Liao W H. The effect of residual stress due to interference fit on the fatigue behavior of a fastener hole with edge cracks. Engineering Failure Analysis, 2016, 66: 72–87

    Article  Google Scholar 

  20. Komorek A, Godzimirski J. Modified pendulum hammer in impact tests of adhesive, riveted and hybrid lap joints. International Journal of Adhesion and Adhesives, 2021, 104: 102734

    Article  Google Scholar 

  21. Wang C X, Suo T, Gao H M, Xue P. Determination of constitutive parameters for predicting dynamic behavior and failure of riveted joint: testing, modeling and validation. International Journal of Impact Engineering, 2019, 132: 103319

    Article  Google Scholar 

  22. Wang Z Q, Chang Z P, Luo Q, Hua S G, Zhao H T, Kang Y G. Optimization of riveting parameters using kriging and particle swarm optimization to improve deformation homogeneity in aircraft assembly. Advances in Mechanical Engineering, 2017, 9(8): 1687814017719003

    Article  Google Scholar 

  23. Qin Y F, Jiang H, Cong Y J, Li G Y, Qi L, Cui J J. Rivet die design and optimization for electromagnetic riveting of aluminium alloy joints. Engineering Optimization, 2021, 53(5): 770–788

    Article  Google Scholar 

  24. Baskal T, Nursoy M, Esme U, Kulekci M K. Application of genetic algorithms (GA) for the optimization of riveted joints. Materials Testing, 2013, 55(9): 701–705

    Article  Google Scholar 

  25. Liu Y, Li M X, Lu X F, Li Q S, Zhu X L. Pull-out performance and optimization of a novel interference-fit rivet for composite joints. Composite Structures, 2021, 269: 114041

    Article  Google Scholar 

  26. Wang S F, Zhang J H, Liu Z G, Zhang X W, Hong J, Nan K G, Wang W. Riveting parameter design that satisfies requirements for driven rivet head dimensions. Proceedings of the Institution of Mechanical Engineers. Part C: Journal of Mechanical Engineering Science, 2015, 229(13): 2412–2432

    Google Scholar 

  27. Rans C D, Alderliesten R C, Straznicky P V. Assessing the effects of riveting induced residual stresses on fatigue crack behaviour in lap joints by means of fractography. International Journal of Fatigue, 2009, 31(2): 300–308

    Article  Google Scholar 

  28. Zheng B, Yu H D, Lai X M, Lin Z Q. Analysis of residual stresses induced by riveting process and fatigue life prediction. Journal of Aircraft, 2016, 53(5): 1431–1438

    Article  Google Scholar 

  29. Zhang X, Jiang H, Luo T, Hu L, Li G Y, Cui J J. Theoretical and experimental investigation on interference fit in electromagnetic riveting. International Journal of Mechanical Sciences, 2019, 156: 261–271

    Article  Google Scholar 

  30. Xie M J. Composite Connection Technology. Shanghai: Shanghai Jiao Tong University Press, 2016, 197–200

    Google Scholar 

  31. Rans C, Straznicky P V, Alderliesten R. Riveting process induced residual stresses around solid rivets in mechanical joints. Journal of Aircraft, 2007, 44(1): 323–329

    Article  Google Scholar 

  32. Livemore Software Technology Corporation. LS-DYNA Keyword User’s Manual, Version R9.0, 2016

  33. Zhang K F, Cheng H, Li Y. Riveting process modeling and simulating for deformation analysis of aircraft’s thin-walled sheet-metal parts. Chinese Journal of Aeronautics, 2011, 24(3): 369–377

    Article  Google Scholar 

  34. Wang D F, Xu W C, Wang Y, Gao J B. Design and optimization of tapered carbon-fiber-reinforced polymer rim for carbon/aluminum assembled wheel. Polymer Composites, 2021, 42(1): 253–270

    Article  Google Scholar 

  35. Lee Y L, Pan J, Hathaway R B, Barkey M E. Fatigue Testing and Analysis: Theory and Practice. Burlington: Butterworth-Heinemann, 2005, 103–180

    Book  Google Scholar 

  36. Liu J T, Zhao A A, Ke Z Z, Li Z Q, Bi Y B. Investigation on the residual stresses and fatigue performance of riveted single strap butt joints. Materials, 2020, 13(15): 3436

    Article  Google Scholar 

  37. Xu W C, Wang D F. Fatigue/impact analysis and structure–connection–performance integration multi-objective optimization of a bolted carbon fiber reinforced polymer/aluminum assembled wheel. Composites Part B: Engineering, 2022, 243: 110103

    Article  Google Scholar 

  38. Wang D F, Xu W C. Fatigue failure analysis and multi-objective optimisation for the hybrid (bolted/bonded) connection of magnesium-aluminium alloy assembled wheel. Engineering Failure Analysis, 2020, 112: 104530

    Article  Google Scholar 

  39. Zhang X, Yu H P, Li J, Li C F. Microstructure investigation and mechanical property analysis in electromagnetic riveting. The International Journal of Advanced Manufacturing Technology, 2015, 78(1–4): 613–623

    Article  Google Scholar 

  40. Jiang H, Zeng C C, Li G Y, Cui J J. Effect of locking mode on mechanical properties and failure behavior of CFRP/Al electromagnetic riveted joint. Composite Structures, 2021, 257: 113162

    Article  Google Scholar 

  41. Jiang H, Cong Y J, Zhang J S, Wu X H, Li G Y, Cui J J. Fatigue response of electromagnetic riveted joints with different rivet dies subjected to pull-out loading. International Journal of Fatigue, 2019, 129: 105238

    Article  Google Scholar 

  42. Zhao H W, Xi J J, Zheng K L, Shi Z S, Lin J G, Nikbin K, Duan S S, Wang B W. A review on solid riveting techniques in aircraft assembling. Manufacturing Review, 2020, 7: 40

    Article  Google Scholar 

  43. Cai K F, Wang D F. Optimizing the design of automotive S-rail using grey relational analysis coupled with grey entropy measurement to improve crashworthiness. Structural and Multidisciplinary Optimization, 2017, 56(6): 1539–1553

    Article  Google Scholar 

  44. Xiong F, Wang D F, Zhang S, Cai K F, Wang S, Lu F. Lightweight optimization of the side structure of automobile body using combined grey relational and principal component analysis. Structural and Multidisciplinary Optimization, 2018, 57(1): 441–461

    Article  Google Scholar 

  45. Arunachalam R, Piya S, Krishnan P K, Muraliraja R, Christy J V, Mourad A H I, Al-Maharbi M. Optimization of stir-squeeze casting parameters for production of metal matrix composites using a hybrid analytical hierarchy process—Taguchi-Grey approach. Engineering Optimization, 2020, 52(7): 1166–1183

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Natural Science Foundation of China (Grant Nos. 51975244 and 51475201). The authors would like to express their appreciations for the fund supports.

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Correspondence to Dengfeng Wang.

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The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

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Xu, W., Wang, D. Fatigue and impact analysis and multi-objective optimization design of Mg/Al assembled wheel considering riveting residual stress. Front. Mech. Eng. 17, 45 (2022). https://doi.org/10.1007/s11465-022-0701-7

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