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Consideration Analysis of Stress Distribution Using Automotive Chassis for Heavy Vehicle Transports

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Computational and Experimental Methods in Mechanical Engineering

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 239))

Abstract

The automotive chassis work to support the body and various parts of the vehicle. Additionally, it needs to withstand the stun, contort, vibration, and different anxieties caused because of unexpected braking, speeding up, stunning street condition, radiating power while cornering, and powers initiated by its segments. The undercarriage goes about as the foundation of a substantial vehicle which conveys the most extreme burden for all planned working conditions. This paper depicts the plan and examination of weighty vehicle frames as the prime goal of any car business in the present quick evolving world. In the current paper, the relevant data of a current substantial vehicle suspension supplanting materials of high explicit load with lower thickness materials without decreasing inflexibility and solidness. Supplanting of steel with aluminum, magnesium, composites are taken for displaying. Planning utilizing PC helped plan programming Catia and investigation by exposed to the indistinguishable burden as that of a frame. The mathematical outcomes are approved with expository figuring thinking about the pressure dissemination and distribution utilizing the ANSYS programming.

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Correspondence to Rajat Yadav .

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Saraswat, M., Singh, P.K., Yadav, R. (2022). Consideration Analysis of Stress Distribution Using Automotive Chassis for Heavy Vehicle Transports. In: Rao, V.V., Kumaraswamy, A., Kalra, S., Saxena, A. (eds) Computational and Experimental Methods in Mechanical Engineering. Smart Innovation, Systems and Technologies, vol 239. Springer, Singapore. https://doi.org/10.1007/978-981-16-2857-3_17

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  • DOI: https://doi.org/10.1007/978-981-16-2857-3_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-2856-6

  • Online ISBN: 978-981-16-2857-3

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