Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Disc brake is a mechanical device which is a essential component of the vehicle and is utilized widely for the protection of the passengers therefore a conventional breaking setup is necessary for all the vehicles. Disc brake fulfils different functions and requirements which include slowing or stopping the revolving wheel, preventing its motion. The major objective here is to find out the effect of the load on the component during the period of braking therefore an attempt is made to design a solid model of disc brake to analyse it, so as to improve the performance and to observe the deformations and stresses. Structural analysis is conducted on three materials which include Grey cast iron, aluminium alloy and structural steel. The present work lime lights the aspect of typical disc brake system for automobiles which is modelled using CATIA for the above mentioned three materials and the analysis is completed in ANSYS. When compared, the results of analytical with that of finite element, it is observed that the values obtained from the FE analysis are less than their permissible values. Henceforth the best suitable design for the application can be determined from their strength, performance and rigidity criterion.
"Design and Finite Element Analysis of Disc Brake with different materials for passenger car", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.3, Issue 8, page no.114 - 119, August-2018, Available :http://www.ijrti.org/papers/IJRTI1808018.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator