Multi-objective lightweight optimization and design for body-in-white frontal sub-module

Abstract

Lightweight optimization and design on body in white (BIW) has a significant effect on reducing emissions, fuel consumption, and protecting the environment. Much lightweight study on complete BIW and single BIW parts has been done in recent years. However, the lightweight study of sub-modules is difficult for considering the complete BIW performances. The efficiency of sub-module lightweight optimization based on complete BIW is not high. A new method is proposed to conduct frontal sub-module lightweight optimization. Firstly, the implicit parametric frontal BIW structure is constructed by SFE-CONCEPT software. Then, the coupling BIW model is constructed by combining the above frontal BIW structure and rear finite element structure. The shape and thickness variables are extracted from the frontal BIW structure, and the performance of complete BIW can be analyzed. The efficiency of constructing BIW and the complete performances are all considered by the new method. In addition, a modular method is adopted to analyze performance. It can achieve the concept of “analysis leads design” to conduct lightweight optimization and design for frontal structure by combining with ISIGHT software. After lightweight optimization and design of BIW frontal structure, the weight is reduced by 4.91 kg, which is as much as 5.70%. The performances have little change; the improved maximum performance is 3.32%, and the reduced maximum performance is 1.81%.

Keywords

Lightweight optimization implicit parametric frontal coupling body in white surrogate model analysis leads design

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References

Zhang

Lai

Zhu

et al . Lightweight design of automobile component using high strength steel based on dent resistance. Mater Des 2006; 27: 64–68.

Witik

Payet

Michaud

et al . Assessing the life cycle costs and environmental performance of lightweight materials in automobile applications. Composites Part A 2011; 42: 1694–1709.

Mundo

Hadjit

Donders

et al . Simplified modelling of joints and beam-like structures for BIW optimization in a concept phase of the vehicle design process. Finite Elem Anal Des 2009; 45: 456–462.

Donders

Takahashi

Hadjit

et al . A reduced beam and joint concept modeling approach to optimize global vehicle body dynamics. Finite Elem Anal Des 2009; 45: 439–455.

Piranda

Huang

Corn

et al . Improvement of dynamic models in car industry. Proc SPIE 1997; 3089: 85–91.

Prater

Shahhosseini

Kuo

et al . Finite element concept models for vehicle architecture assessment and optimization. SAE papers 2005-01-1400, 2005.

Daynes

Weaver

PM.

Review of shape-morphing automobile structures: concepts and outlook. Proc IMechE Part D: J Automobile Eng 2013; 227: 1603–1622.

Park

et al . Morphing technique application for the automotive component analysis. SAE paper 2007-01-3936, 2007.

Shojaeefard

Khalkhali

Sarmadi

et al . Investigation on the optimal simplified model of BIW structure using FEM. Lat Am J Solids Struct 2015; 12: 1972–1990.

10.

Dai

Duan

Beam element modelling of vehicle body-in-white applying artificial neural network. Appl Math Model 2009; 33: 2808–2817.

11.

Bourdin

. Filters in topology optimization. International Journal for Numerical Methods in Engineering, 2001; 50: 2143–2158.

12.

Wang

Basu

Leiva

JP.

Automobile body reinforcement by finite element optimization. Finite Elem Anal Des 2004; 40: 879–893.

13.

Torstenfelt

Klarbring

Conceptual optimal design of modular car product families using simultaneous size, shape and topology optimization. Finite Elem Anal Des 2007; 43: 1050–1061.

14.

Yahaya Rashid

Ramli

Mohamed

et al . Improving the dynamic characteristics of body-in-white structure using structural optimization. Sci World J 2014; 2014: 1–11.

15.

Heo

Kim

Kang

et al . Multi-disciplinary constraint design optimization based on progressive meta-model method for vehicle body structure. In: Muñoz-Rojas

(ed) Optimization of structures and components. Springer, 2013.

16.

Wang

Zhang

Design and application of lightweight multi-objective collaborative optimization for a parametric body-in-white structure. Proc IMechE Part D: J Automobile Eng 2016; 230: 273–288.

17.

Shi

Zhu

Shen

et al . Lightweight design of automotive front side rails with TWB concept. Thin Wall Struct 2007; 45: 8–14.

18.

Pan

Zhu

Zhang

Metamodel-based lightweight design of B-pillar with TWB structure via support vector regression. Comput Struct 2010; 88: 36–44.

19.

Huang

Hsiao

et al . Design of a bumper system for pedestrian lower-leg protection using the Taguchi method. Proc IMechE Part D: J Automobile Eng 2011; 225: 1578–1586.

20.

Benedyk

Light metals in automotive applications. Light Met Age 2000; 58: 34–35.

21.

Xingtao

Qing

Xujing

et al . A two-stage multi-objective optimisation of vehicle crashworthiness under frontal impact. Int J Crashworthiness 2008; 13: 279–288.

22.

Craig

Stander

Dooge

et al . Automotive crashworthiness design using response surface-based variable screening and optimization. Eng Comput 2004; 22: 38–61.

23.

Hou

Long

et al . Design optimization of regular hexagonal thin-walled columns with crashworthiness criteria. Finite Elem Anal Des 2007; 43: 555–565.

24.

Heylen

Lammens

Sas

Modal analysis theory and testing. IEEE Commun Mag 1997; 22: 64–70.

25.

Ewins

Modal testing: theory and practice. In: Lunar & planetary science conference. Elsevier, 2003, p.858.

26.

Doke

Fard

Jazar

Vehicle concept modeling: a new technology for structures weight reduction. Procedia Eng 2012; 49: 287–293.

27.

Mizuno

Wani

Yonezawa

Vehicle crashworthiness in full and offset frontal impact tests. JSAE Rev 2003; 24: 173–181.

28.

Youn

Choi

Yang

et al . Reliability-based design optimization for crashworthiness of vehicle side impact. Struct Multidiscip Optim 2004; 26: 272–283.

29.

Yang

Wang

Tho

et al . Metamodeling development for vehicle frontal impact simulation. J Mech Des 2005; 127: 1014–1020.

30.

Fang

Rais-Rohani

Liu

et al . A comparative study of metamodeling methods for multiobjective crashworthiness optimization. Comput Struct 2005; 83: 2121–2136.

31.

Zhang

Zhu

Chen

et al . Study on structural lightweight design of automotive front side rail based on response surface method. J Mech Des 2007; 129: 553–557.

32.

Krishnamurthy

Response surface approximation with augmented and compactly supported radial basis functions. In: The 44th AIAA/ASME/ASCE/AHS/ASC structures, structural dynamics, and materials conference. Norfolk, VA, 7–10 April 2003.

33.

Jin

Chen

Simpson

TW.

Comparative studies of metamodeling techniques under multiple modeling criteria. Struct Multidiscip Optim 2000; 23: 1–13.

34.

Hussain

Barton

Joshi

SB.

Metamodeling: radial basis functions, versus polynomials. Eur J Oper Res 2002; 138: 142–154.

35.

Sallaberry

Helton

Hora

SC.

Extension of Latin hypercube samples with correlated variables. Reliab Eng Syst Saf 2008; 93: 1047–1059.

36.

Nemec

Aftosmis

Adjoint algorithm for CAD-based shape optimization using a Cartesian method. Technical report NAS-05-014, 2005. NASA Advanced Supercomputing.

37.

Deb

Pratap

Agarwal

et al . A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans Evol Comput 2002; 6: 182–197.