UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 5 Issue 7
July-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1807989


Registration ID:
185973

Page Number

649-657

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Title

STRESS ANALYSIS OF TRACTOR REAR AXLE COMPOSITE SHAFT USING ANSYS

Abstract

Tractor is an off road vehicle which is considered to be any type of vehicle which is capable of driving on and off paved or gravel surface. Off road condition includes uneven agricultural field surfaces and bumpy village roads on which the tractor has to operate. Thus it is important to analyze rear axle shaft of tractor so that we can solve problems regarding breakdowns and failures during field operations. In this project, the material of the rear axle shaft is to be modified with composite materials and its corresponding mechanical properties were to determine using ANSYS Software.

Key Words

Rear axle shaft, Composite material, Agriculture field

Cite This Article

"STRESS ANALYSIS OF TRACTOR REAR AXLE COMPOSITE SHAFT USING ANSYS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 7, page no.649-657, July-2018, Available :http://www.jetir.org/papers/JETIR1807989.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"STRESS ANALYSIS OF TRACTOR REAR AXLE COMPOSITE SHAFT USING ANSYS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 7, page no. pp649-657, July-2018, Available at : http://www.jetir.org/papers/JETIR1807989.pdf

Publication Details

Published Paper ID: JETIR1807989
Registration ID: 185973
Published In: Volume 5 | Issue 7 | Year July-2018
DOI (Digital Object Identifier):
Page No: 649-657
Country: ALLAHABAD, उत्‍तर प्रदेश, India .
Area: Science & Technology
ISSN Number: 2349-5162


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