Structural analysis on variable characteristics of automotive seat frame by FEA

Kim, Hyun-sik; Lee, Yoon Sun; Yang, Seung Min; Kang, Hee Yong

doi:10.1007/s40684-016-0010-x

Cited by 27 publications

(8 citation statements)

References 2 publications

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“…[12]- [15]. Automobile seats, accounting for 3-5% of the total vehicle mass [16], are the direct contact medium between vehicles and passengers. Though the seat assemblies affect the comfort and the safety of drivers strongly [17], [18], it has been less noticed by researchers in previous studies.…”

Section: Introductionmentioning

confidence: 99%

Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System

Wang

Lan²,

Long

2022

IEEE Access

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In development of the automobile industry, lightweight and safety performance are contradictory, yet they are of great significance.The optimization process of auto parts is a high-dimensional optimization problem which has a variety of regulations limits and safety tests at the same time. In order to address this issue, hierarchical multi-objective optimization of a passenger car seat frame is carried out in this research. Different from previous researches, in this paper, all car seat frame parts are listed as the optimization objects and are given different optimized attributes. Meanwhile, in order to achieve the goal of effectively reducing the sample sizes of the design of experiments, hierarchical optimization is proposed, and the optimization process is divided into three stages. In each stage, components with different optimized attributes are introduced into various safety tests and then conducting design of experiments. On the other hand, through adopting the grey fuzzy logic system to assign the appropriate optimized grade, the optimization process is simplified and the errors caused by the manual selection or unified optimization levels are avoided. The proposed method is considered to be an universal approach to solve the lightweight optimization of the auto parts. Design parameters of the car seat frame before and after the hierarchical multi-objective optimization are compared, it illustrated that total mass and material cost of the seat frame are reduced by 2.3kg (28.5%) and 13.8 (32.4%) respectively. Moreover, various comparisons are carried out to verify the validity of the optimization method proposed in this paper. In conclusion, the proposed method is quite promising yet with less sample points associated, is an effective mean to solve the multi-objective optimization problems of automobile component. INDEX TERMSAutomobile seat frame lightweight, hierarchical multi-objective optimization, adaptive design of experiments, grey fuzzy logic system.

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Section: Introductionmentioning

confidence: 99%

Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System

Wang

Lan²,

Long

2022

IEEE Access

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“…24 The usage of alternative materials for automotive seats must however ensure general passenger’s safety requirements for several kind of loads such as fatigue, dynamic load, static load and impact from potential accidents. 25 To guarantee the sustainability of an implemented composite, a life cycle assessment (LCA) from ‘cradle-to-grave’ must be performed. Even a fully natural or organic composite material might not be considered as green composite after an LCA or a social-economical study.…”

Section: Introductionmentioning

confidence: 99%

Performance comparison between glass and basalt fibre-reinforced composites for an automotive seat backrest

Messana

Teles

Airale³

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part C:

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In recent years, the automotive industry has been developing lightweight components in order to comply with stricter fuel consumption regulations. In fact, car mass reduction plays an important role in reducing fuel consumption and CO2 emissions. Composite materials are very promising solutions because of their potential to reduce mass by replacing traditional steel components, while ensuring safety requirements and structure reliability. However, they might present some issues in terms of sustainability and cost. This paper presents a methodology developed to carry out safety tests on a virtual automotive seat and then assess the structural practicability of using a more sustainable material, the Basalt Reinforced-Fibre Polymer (BFRP), as a replacement of the original material, the Glass Reinforced-Fibre Polymer (GFRP). The starting point of this study was the mechanical characterisation of both traditional and green composites. Then, the composite material formulation MAT-58 was optimised to correlate the simulated and experimental results. Finally, static and energy absorption simulation tests were performed according to the ECE R17 regulation. The seat model was compliant with the safety requirements in all cases studied, and both composites presented a similar structural performance.

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“…Typically, a method called finite element analysis (FEA) is used to evaluate a vehicle part. This method uses a complex algorithm and 3D models to assign materials and apply different loads to the parts to determine the stress and strain values of the part [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Case study of testing different materials for seat belt retractor torsion bar by the means of finite element analysis

Nituleasa¹,

Radu²,

Motoc³

2022

tribomat

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This paper examines the use of various materials for the force limiter torsion bar found in an automotive seat belt assembly. We have selected the following materials: carbon steel, cast stainless steel, cast low alloy steel and cast aluminium alloy. The primary method used for this study is finite element analysis (FEA) and the use of the named materials on a 3D model of the torsion bar, constructed using the dimensions of a standard part. The 3D models were created with a 3D CAD program and the FEA analysis was carried out with special software. For the input values, the torsion bar was fixed at one corner and a 360 degree rotation shift at the other corner. A fine mesh of 1.5 mm/element was also set to get a more accurate analysis. The results of this study are in the form of stress, strain, safety factor and displacement plots generated by the FEA analysis software showing the difference between the materials. The main outcome of the study is to determine the best overall material to manufacture the part in terms of performance and cost.

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Structural analysis on variable characteristics of automotive seat frame by FEA

Cited by 27 publications

References 2 publications

Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System

Hierarchical Multi-Objective Optimization of Automobile Seat Frame Based on Grey Fuzzy Logic System

Performance comparison between glass and basalt fibre-reinforced composites for an automotive seat backrest

Case study of testing different materials for seat belt retractor torsion bar by the means of finite element analysis

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