AN OVERVIEW OF MACHINE LEARNING APPLICATIONS IN METAL CASTING INDUSTRIES

被引：0

作者：

Bhagwat, Vishal b. ^{[1
,2
]}

Kamble, Dhanpal a. ^{[1
]}

Kore, Sandeep s. ^{[1
]}

机构：

[1] Vishwakarma Inst Informat Technol, Dept Mech Engn, Pune, India

[2] Vidya Pratishthans Kamalnayan Bajaj Inst Engn & Te, Dept Mech Engn, Baramati, India

来源：

ARCHIVES OF METALLURGY AND MATERIALS | 2024年 / 69卷 / 04期

关键词：

Metal casting; Machine learning; artificial intelligence; quality control; defects prediction; PREDICTION;

D O I：

10.24425/amm.2024.151428

中图分类号：

TF [冶金工业];

学科分类号：

0806 ;

摘要：

This paper presents an overview of different machine learning (ML) techniques and algorithms implemented in metal casting industries. ML has made significant contributions to the field of metal casting by improving various aspects of the casting process. In this work, referred quality research papers are divided into two categories. Firstly, work reviewed for the automation in foundry and quality control. Secondly, the raw material melting, material designs and defect predictions in the metal casting. The literature is extensively studied for types of ML models implemented from 2010 to 2023 for the sand-casting application area especially in the prediction of material melting compositions, desired material properties and occurrence of defects along with involvement of advanced foundry technologies.

引用

页码：1577 / 1584

页数：8

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