Prediction of characteristic points of single-peak flow curve through statistical technique and artificial neural network-Reference-Cited by-同舟云学术

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Prediction of characteristic points of single-peak flow curve through statistical technique and artificial neural network

Published:2023-07-12 Issue: Volume: Page:1-9
ISSN:0228-6203
Container-title:International Journal of Modelling and Simulation
language:en
Short-container-title:International Journal of Modelling and Simulation

Author:

Das Debasish¹,Thakur Navneet²,Rout Matruprasad³^ORCID

Affiliation:

1. Department of Physical Science, Indian Institute of Science Education and Research, Mohali, Punjab, India

2. Department of Mechanical Engineering, Punjab Engineering College, Chandigarh, India

3. Department of Production Engineering, National Institute of Technology Tiruchirappalli, Tiruchirappalli, Tamil Nadu, India

Funder

specific grant from funding agencies in the public

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Mechanics of Materials,Modeling and Simulation,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/02286203.2023.2234223

Reference37 articles.

1. A New Constitutive Equation to Predict Single Peak Flow Stress Curves

2. A Simple Constitutive Model for Prediction of Single-Peak Flow Curves Under Hot Working Conditions

3. Dynamic and post-dynamic recrystallization under hot, cold and severe plastic deformation conditions

4. Hot working of two AISI 304 steels: a comparative study

5. Avrami Kinetic-Based Constitutive Relationship for Armco-Type Pure Iron in Hot Deformation

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