Virtual Development of Optimum Twist Beam Design Configuration for a New Generation Passenger Car

Janarthanam, Balamurugan; Ghodekar, Samir K.; Apte, Amol

doi:10.4271/2007-01-3562

Cited by 5 publications

(1 citation statement)

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“…predicting the effect of the design variables of the torsion beam suspension system on the vehicle handling performance using an ADAMS simulation [2,3] and other codes [4], considering the elastic deformation in a elastokinematic system with a component mode synthesis method. Yet, while such multi-body dynamic soft-ware provides comparable results with test data [5,6], the whole process is time consuming, including meshing the torsion beam model using preprocessor software and making a modal neutral file using a finite element (FE) solver. Also, it requires specialized skills and knowledge.…”

Section: Introductionmentioning

confidence: 99%

Analysis of the roll properties of a tubular-type torsion beam suspension

Mun¹,

Kim²,

Kim

2009

Proceedings of the Institution of Mechanical Engineers, Part D:

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Tubular-type torsion beam rear-suspension systems are widely used in small passenger cars owing to their compactness, light weight, and cost efficiency. It is already known that the roll behaviour of a torsion beam suspension system can be approximated to that of a semitrailing arm suspension system. By this kinematic assumption, analytical equations to obtain the roll centre height, roll steer, and roll camber have already been developed in terms of geometry points. Therefore, this paper proposes an analytical method to calculate the torsional stiffness of a tubular beam from its cross-section area based on the assumption that a tubular beam is a series connection of finite lengths with a constant cross-section. In addition, a potential energy method is proposed to calculate the roll stiffness of a tubular torsion beam suspension system based on considering the bushing stiffness and torsional stiffness of the tubular beam without the use of any commercial computer-aided engineering (CAE) software. The torsional stiffness and roll stiffness predicted using the proposed method showed errors of about 4 per cent and 3.3 per cent respectively, when compared with results from commercial CAE software.

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Section: Introductionmentioning

confidence: 99%