Structural Optimization: Achieving a Robust and Light-Weight Design of Automotive Components

Laxman, S.; Mohan, R.

doi:10.4271/2007-01-0794

Cited by 13 publications

(5 citation statements)

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“…The eigenvalue problem for a normal modes analysis of the body using a diagonal mass matrix represents itself as (3).…”

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confidence: 99%

“…With the increasing demands for energy conservation and environmental protection, bus body lightweight design has been becoming a popular and key issue in curr ent bus development.Recently, material substitution [1]-[2] and structure optimization[3]-[4] are mainly utilized to gain bus body weight reduction. By substituting mild steel with alternative 978-1-4244-5540-9/10/$26.00 ©2010 IEEEFengchong Lan, Jiqing Chen, Jianqiang Rao School of Mechanical & Automotive Engineering South China University of Technology Guangzhou, China materials such as advanced high strength steel (AHSS), aluminum or magnesium alloys, and composite materials, weight reduction can be acquired.…”

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confidence: 99%

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Notice of Retraction: Bus skeleton lightweight design based on reduced model and mixed variables optimization

Lan

Chen

et al. 2010

2010 3rd International Conference on Computer Science and Information Technology

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A new method integrating reduced model and mixed design variables is proposed and applied in the lightweight design of a bus skeleton for the purpose of mass reduction without loss in structural performance. A whole skeleton model and a reduced model are built. All parts except chassis and floor assembly are reduced out using static reduction method. Reduced model is verified with finite element analysis (FEA) results compared with those from whole model. The study shows that a close agreement of computed results of whole and reduced models is obtained in terms of deformation and displacements at load-bearing nodes and normal mode shapes. While slight discrepancy in first mode frequencies is observed because the static condensation method for reduced model is approximate for mass matrix. As a result, the reduced model saves computation time by about 50 per cent compared to whole model. A structural size optimization is carried out for bus skeleton lightweight issue. Considering size specifications of structure members, three computer-aided engineering (CAE) models with fully discrete design variables, mixed design variables (combination of continuous and discrete variables) and fully continuous variables are built and solved respectively. A comprehensive comparison is examined on the basis of optimized results such as mass reduction, structural performance and computation cost. The results show that adopting the optimization model (scheme) with the reduced model and the mixed design variables, a compromise with 4 per cent mass-saving is obtained between lightweight objective and computing cost. Moreover, optimized results totally accord with size specifications of bus skeleton, which means no manual adjustment is required and makes the proposed method feasible for engineering application.

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“…The eigenvalue problem for a normal modes analysis of the body using a diagonal mass matrix represents itself as (3).…”

mentioning

confidence: 99%

mentioning

confidence: 99%

Notice of Retraction: Bus skeleton lightweight design based on reduced model and mixed variables optimization

Lan

Chen

et al. 2010

2010 3rd International Conference on Computer Science and Information Technology

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“…Because virtual prototyping technology has abundant uses and takes account of customer's interface experience, it has stability performance. So it has been widely promoted in the market [5].…”

Section: Virtual Prototyping Technologymentioning

confidence: 99%

“…In order to reflect the vehicle's handling stability accurately and practically, the detailed features of the vehicle can be simplified and ignored to ensure that the necessary parameters are accurate [7]. The process of building model in Adams/car is template-subsystem-assembly [8]. The modeling steps in this paper are as follows Figure 1 (a).…”

Section: Vehicle Dynamics Modelmentioning

confidence: 99%

Ride Comfort Simulation of Electric Vehicle

Lin¹,

Wang²,

Shuai³

et al. 2019

IJIIS

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Facing the new situation of global energy restructuring, occupying the highland of future industry competition and environmental protection, the major developed countries in the world will develop the electric vehicle industry to the national strategic level, and thus the electric vehicle has become the focus of competition among transnational automobile enterprises.In addition to ensuring the power performance of the vehicle, electric vehicles should also satisfy the safety and comfort of passengers and ensure the integrity of cargo transportation. Therefore, it is necessary to study the ride comfort and handling stability of electric vehicles.In this paper, the whole vehicle model is established by ADAMS/Car software, and the ride comfort simulation analysis is carried out. ADAMS/Car software is used to build the models of front suspension subsystem, power assembly subsystem, body subsystem, rear suspension subsystem, tire subsystem and steering subsystem, and then the models of each subsystem are assembled into the whole vehicle rigid body model. The elastomer model of the control arm is generated by setting MNF file, and the rigid-flexible coupling model of the control arm is established by replacing the rigid model of the control arm with the elastomer model. The ride comfort of the rigid-flexible coupling model is simulated and analyzed. The total weighted magnitude is 116.2646. When the speed of the electric vehicle is 40 km/h, the passenger comfort is quite uncomfortable.

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“…Ref. [4] used frequency sensitivity to optimize the frame. In the shape optimization, the design variables are the coordinates of the boundary node points.…”

Section: Introductionmentioning

confidence: 99%

Modal Stiffness Contributions of Components to Full Truck

Pan

Chen

2011

AMR

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In recent years, three optimal methods, size, shape and topological optimization, have been widely applied to the automotive component design and significant success have been achieved. However, most of the optimizations are limited to deal with the individual component of the truck. Because there exists the complex coupling relations between components under the assembly environment of the truck, it is difficult to deal with the component design by using the above three optimal method and it is necessary to develop a more effective method for solving the complex optimal problem under the assembly environment of full truck. To this end, the paper introduces the modal stiffness concept and develops the modal stiffness contributions of components to full truck which can identify which components are the key ones for controlling the modal frequencies. The present method is applied to a full truck analysis. The results obtained show that the proposed method is effective and the computation process is straightforward. The results can be directly used to improve the component design of full truck as a valuable guide.

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Structural Optimization: Achieving a Robust and Light-Weight Design of Automotive Components

Cited by 13 publications

References 0 publications

Notice of Retraction: Bus skeleton lightweight design based on reduced model and mixed variables optimization

Notice of Retraction: Bus skeleton lightweight design based on reduced model and mixed variables optimization

Ride Comfort Simulation of Electric Vehicle

Modal Stiffness Contributions of Components to Full Truck

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