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A performance-driven lightweight optimization method for material-structure coupling design of cab

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Abstract

Due to the discreteness of material variables and nonlinearity of material plastic segment, the material-structure matching design efficiency of multiple parts is very low, and it is even difficult to achieve a feasible solution. To solve these problems, a performance-driven lightweight optimization method that combines multi-material selection method and multi-objective optimization is proposed. First, a lightweight multi-material selection method for the cab is proposed, which integrates static stiffness constraint, equivalent crashworthiness, and evaluation method for material selection. Subsequently, the multi-material selection designs for the skeleton beam of cab are carried out. The results show that the material selection scheme achieved a mass reduction of 12.41 kg and material cost reduction of 0.861 yuan. Finally, a multi-objective optimization method incorporating TOPSIS method is used to solve material-structure coupling design. The results show that the mass of cab is reduced by 47.4 kg. The performance of cab are slightly changed, indicating the rationality of the lightweight design method.

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References

  • Alexander JM (1960) An approximate analysis of the collapse of thin cylindrical shells under axial loading. Q J Mech Appl Math 13:10–15

    Article  MathSciNet  Google Scholar 

  • Ashby M (2000) Multi-objective optimization in material design and selection. Acta Mater 48:359–369

    Article  ADS  Google Scholar 

  • Cui A, Wang D, Chen H, Rong A, Zeng Q, Bu S (2010) Cab structural optimization of a commercial vehicle based on modal sensitivity analysis. Automot Eng 6:535–539

    Google Scholar 

  • Cui X, Zhang H, Wang S, Zhang L, Ko J (2011) Design of lightweight multi-material automotive bodies using new material performance indices of thin-walled beams for the material selection with crashworthiness consideration. Mater Des 32:815–821

    Article  CAS  Google Scholar 

  • Edwards KL (2004) Strategic substitution of new materials for old: applications in automotive product development. Mater Des 25:529–533

    Article  Google Scholar 

  • Hahn O, Kurzok JR, Timmermann R (2001) Joining of multi material constructions. In: Chinese-German ultralight symposium, Bei**g

  • Hallquist JO (2007) LS-DYNA keyword user’s manual. Livermore Softw Technol Corp 970:299–800

    Google Scholar 

  • Hanssen AG, Langseth M, Hopperstad OS (2000) Static and dynamic crushing of square aluminium extrusions with aluminium foam filler. Int J Impact Eng 24:347–383

    Article  Google Scholar 

  • Johnson GR, Cook WH (1985) Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures. Eng Fract Mech 21:31–48

    Article  Google Scholar 

  • Khalkhali A, Mostafapour M, Tabatabaie SM, Ansari B (2016) Multi-objective crashworthiness optimization of perforated square tubes using modified NSGAII and MOPSO. Struct Multidisc Optim 54:45–61

    Article  Google Scholar 

  • Koo J, Cho H (2009) Theoretical method for predicting the weight reduction rate of a box-type car body for rolling stock by material substitution design. Int J Automot Technol 10:355–363

    Article  Google Scholar 

  • Li S, Bai JT, Wang XC, Song LM, Luo K, Zuo WJ (2020) Equivalent substitution criteria of aluminum for steel and its application in automobile structures. Adv Mech Eng 12:17

    Google Scholar 

  • Mamalis AG, Manolakos DE, Ioannidis MB, Kostazos PK (2006) Bending of cylindrical steel tubes: numerical modelling. Int J Crashworthiness 11:37–47

    Article  Google Scholar 

  • Shojaeefard MH, Khalkhali A, Firouzgan A (2016) Multi-objective optimization of a natural aspirated three-cylinder spark ignition engine using modified non-dominated sorting genetic algorithm and multicriteria decision making. J Renew Sustain Energy 8:025705

    Article  Google Scholar 

  • Wang S, Wang DF (2021) Crashworthiness-based multi-objective integrated optimization of electric vehicle chassis frame. Arch Civil Mech Eng 21:103

    Article  CAS  Google Scholar 

  • Wang D, Wang S, **e C (2019) A multi-objective optimization approach for simultaneously lightweighting and maximizing functional performance of vehicle body structure. Proc Inst Mech Eng D 234(7):2086–2102

    Article  Google Scholar 

  • Wang D, **e C, Liu Y, Xu W, Chen Q (2020) Multi-objective collaborative optimization for the lightweight design of an electric bus body frame. Automot Innov 3:250–259

    Article  Google Scholar 

  • Wang DF, **e C, Wang Y (2021) Multi-objective lightweight and crashworthiness collaborative optimisation of commercial vehicle cab. Int J Crashworth 15:1017–1031

    Google Scholar 

  • Wierzbicki T, Abramowicz W (1983) On the crushing mechanics of thin-walled structures. J Appl Mech 50:724–734

    Article  Google Scholar 

  • **e C, Wang DF (2020) Multi-objective cross-sectional shape and size optimization of S-rail using hybrid multi-criteria decision-making method. Struct Multidisc Optim 16:3477–3492

    Article  Google Scholar 

  • Zhang J-Y, Chen G, Wu L-N, Liu Y (2013) Lightweight method of car’s front rails based on the theory of thin-walled beam crashworthiness. Jilin Daxue Xuebao (Gongxueban) 43:1441–1446

    Google Scholar 

  • Zhang HH, Peng Y, Hou L, Tian GD, Li ZW (2019) A hybrid multi-objective optimization approach for energy-absorbing structures in train collisions. Inf Sci 481:491–506

    Article  Google Scholar 

Download references

Funding

This work was supported by the National Key Research and Development project of China (Number 2022YFB2503501), National Natural Science Foundation of China (Grant Number 51975244), and Graduate Innovation Fund of Jilin University (Number 101832020CX131).

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Correspondence to Changqing Du.

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The authors declare that they have no conflict of interest.

Replication of results

The data for material selection are shown in Table 6. Table 10 shows the data for the TOPSIS solution and Table 12 shows the data for optimization results.

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Responsible Editor: Palaniappan Ramu

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**e, C., Wang, D., Wang, S. et al. A performance-driven lightweight optimization method for material-structure coupling design of cab. Struct Multidisc Optim 67, 12 (2024). https://doi.org/10.1007/s00158-023-03730-6

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