Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature

Data-Driven ANN-Based Predictive Modeling of Mechanical Properties of 5Cr-0.5Mo Steel: Impact of Composition and Service Temperature

The mechanical properties of steel are intricately connected to their composition and service temperature. Predicting these properties across different work temperatures using traditional statistical methods, algorithms, and equations is highly challenging due to these complex interdependencies. To...

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Bibliographic Details
Main Authors: Muhammad Ishtiaq, Saurabh Tiwari, Molakatala Nagamani, Sung-Gyu Kang, Nagireddy Gari Subba Reddy
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Crystals
Subjects:
Cr-Mo steel
chemical composition
service temperature
mechanical properties
neural network
Online Access:https://www.mdpi.com/2073-4352/15/3/213
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