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Analysis and Topology Optimization of Chain Sprocket in ANSYS Workbench

Paper No.: 2024-GI-07
Authors: null Mudavath Rajesh Kumar; null Fazel Hayatt Khan; null Mahankali Balachandar; null K Sushank Goud; null Malikasab Bagawan; null Pranav Ravindran Nair; null M. Vijay;

Analysis and Topology Optimization of Chain Sprocket in ANSYS Workbench

Abstract

This paper aims to develop an optimized driven sprocket, focusing on the driving sprocket of the KTM 390. The process begins with the creation of the driving sprocket model in SolidWorks 2022. Subsequently, finite element modelling and analysis of the initial design are conducted using ANSYS Workbench software, simulating the strength, safety factor, and lifespan of the model. The next step involves topologically optimizing the model, with the goal of achieving a 36% reduction in sprocket mass without compromising its performance. Finally, design validation is performed on the optimized model, followed by a reassessment through static analysis to ensure the reliability of the results. Keywords: optimized driven sprocket, KTM 390, SolidWorks 2022, ANSYS Workbench, simulation, safety, chain sprocket

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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