Work

Fatigue Life Prediction of Ti–5Al–2.5Sn Alloy Reinforced Tungsten Composites Using Machine Learning

Year: 2025

Type: article

Source: Transactions of the Indian Institute of Metals

DOI: 10.1007/s12666-025-03674-z

Authors: M. Giridharadhayalan, T. Ramkumar, M. Selvakumar, P. Narayanasamy

Institution: Adithya Institute of Technology

Language: English

Topic: Fatigue and fracture mechanics

Subfield: Mechanics of Materials

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4413077263

FWCI: 0.263

Cites: 23

Cited by: 1

Related to: 10