Paper Title

Weight Optimization Of An Automotive Steering Knuckle Using Element Analysis

Article Identifiers

Registration ID: IJNRD_181012

Published ID: IJNRDA001070

DOI: Click Here to Get

Authors

D.Rajkumar , R.Selvaramsakthi , S.Jaiviknassh , S.Sharath , S. Hariharan

Keywords

Workbench. Modeling will be carried out using Solidworks Keywords: Steering knuckle, Solidworks, Ansys workbench, weight optimization

Abstract

A steering knuckle is one of the most important parts of a vehicle suspension system. This is the major component acts as a connection point between the wheel hub and the suspension system. The forces coming from the tires are transferred to this knuckle system hence subjecting it to high varying loads. So the design of a knuckle becomes very critical in terms of its life with high factor of safety. At the same time, the design also should be robust with the required life, right material selection and weight optimization, without affecting the desired performance. There have been considerable efforts placed in this direction to reduce the overall weight of the knuckle system by employing high strength alloys instead of conventional materials or optimizing the geometry without altering the desired functionality and its life. This project focuses on weight optimization by using Finite Element Analysis approach. This is done by studying and comparing the results of a rigid baseline model with that of a optimized model. The optimized model is arrived based on the stresses obtained from the baseline study, hence arriving the zones for weight reduction. The Analysis will be carried out using Ansys Workbench. Modeling will be carried out using Solidworks

How To Cite

"Weight Optimization Of An Automotive Steering Knuckle Using Element Analysis", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.7, Issue 5, page no.418-431, May-2022, Available :https://ijnrd.org/papers/IJNRDA001070.pdf

Issue

Volume 7 Issue 5, May-2022

Pages : 418-431

Other Publication Details

Paper Reg. ID: IJNRD_181012

Published Paper Id: IJNRDA001070

Downloads: 000121126

Research Area: Mechanical Engineering 

Country: Chennai, Tamil Nadu, India

Published Paper PDF: https://ijnrd.org/papers/IJNRDA001070.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRDA001070

About Publisher

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

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Call For Paper

Call For Paper - Volume 10 | Issue 8 | August 2025

IJNRD is Scholarly open access journals, Peer-reviewed, and Refereed Journals, High Impact factor 8.76 (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) with Open-Access Publications.

INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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Paper Submission Open For: August 2025

Current Issue: Volume 10 | Issue 8

Last Date for Paper Submission: Till 31-Aug-2025

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Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: International Peer-reviewed, Refereed, and Open Access Journal.

Subject Category: Research Area