NDLI: Computational analysis on plug-in hybrid electric motorcycle chassis

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Computational analysis on plug-in hybrid electric motorcycle chassis

Content Provider	Scilit
Author	Teoh, S. J. Bakar, R. A. Gan, L. M.
Copyright Year	2013
Description	Journal: Iop Conference Series: Materials Science and Engineering Plug-in hybrid electric motorcycle (PHEM) is an alternative to promote sustainability lower emissions. However, the PHEM overall system packaging is constrained by limited space in a motorcycle chassis. In this paper, a chassis applying the concept of a Chopper is analysed to apply in PHEM. The chassis 3dimensional (3D) modelling is built with CAD software. The PHEM power-train components and drive-train mechanisms are intergraded into the 3D modelling to ensure the chassis provides sufficient space. Besides that, a human dummy model is built into the 3D modelling to ensure the rider?s ergonomics and comfort. The chassis 3D model then undergoes stress-strain simulation. The simulation predicts the stress distribution, displacement and factor of safety (FOS). The data are used to identify the critical point, thus suggesting the chassis design is applicable or need to redesign/ modify to meet the require strength. Critical points mean highest stress which might cause the chassis to fail. This point occurs at the joints at triple tree and bracket rear absorber for a motorcycle chassis. As a conclusion, computational analysis predicts the stress distribution and guideline to develop a safe prototype chassis.
Related Links	http://iopscience.iop.org/article/10.1088/1757-899X/50/1/012042/pdf http://iopscience.iop.org/1757-899X/50/1/012042/pdf/1757-899X_50_1_012042.pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/50/1/012042
Journal	Iop Conference Series: Materials Science and Engineering
Volume Number	50
Language	English
Publisher	IOP Publishing
Publisher Date	2013-12-16
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Stress Distribution Motorcycle Chassis
Content Type	Text
Resource Type	Article

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