Design and analysis of mild steel mini truck body for increasing the payload capacity
Materials Today: Proceedings, ISSN: 2214-7853, Vol: 37, Issue: Part 2, Page: 1274-1280
2021
- 21Citations
- 18Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Article Description
In India most of the small scale industries and traders would modify their vehicle body in order to maximize the load carrying capacity of the truck for economical reason. These alteration are done without proper design and analysis. In this work the vehicle body is designed to increase the pay load capacity of mini truck from 1.5 tons to 2 tons. The proposed model is analyzed for distributed load, line load and impact load due to cylindrical object. The impact analysis is done by assuming a set of cylinders weighing 1 tons dropped from 1 cm height. The vehicle body is modelled in CATIA and analyzed using ANSYS 16.2 FEA commercial software. The material chosen for analysis is mild steel. The strength of the body is assessed using deformation, stress and factor of safety value obtained from FEA analysis. The stress concentration is high at intersection point of body and chassis and also at top corner of the side channels and it is reduced by design modification. The final results shows that the proposed design is safe for the assumed.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S2214785320349373; http://dx.doi.org/10.1016/j.matpr.2020.06.459; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85102431772&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S2214785320349373; https://dx.doi.org/10.1016/j.matpr.2020.06.459
Elsevier BV
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