Work

Load-Deflection Evaluation of Bump Stoppers Using a Machine Learning Approach

Year: 2025

Type: conference-paper

Source: SAE technical papers on CD-ROM/SAE technical paper series

DOI: 10.4271/2025-01-8208

Authors: Sandip Hazra, Sonali Tangadpalliwar

Institution: Tata Motors (India)

Language: English

Topic: Mechanical Engineering and Vibrations Research

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4409017264

FWCI:

Cites: 14

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Related to: 10