Work

Machine Learning Models for Creep Rupture Prediction of Inconel 617

Year: 2025

Type: article

Source: Journal of Pressure Vessel Technology

DOI: 10.1115/1.4068122

Authors: Mohammad Shafinul Haque, Zakai Al Kadri

Institution: Angelo State University

Language: English

Topic: High Temperature Alloys and Creep

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4408226369

FWCI: 0.589

Cites: 35

Cited by: 2

Related to: 10