Fuzzy Logic Control in Metal Additive Manufacturing: A Literature Review and Case Study

被引：2

作者：

Al-Saadi, Taha ^{[1
]}

Rossiter, J. Anthony ^{[1
]}

Panoutsos, George ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Mapping St, Sheffield S1 3JD, S Yorkshire, England

来源：

IFAC PAPERSONLINE | 2022年 / 55卷 / 21期

基金：

英国工程与自然科学研究理事会;

关键词：

metallic additive manufacturing; laser powder bed fusion; control; fuzzy logic;

D O I：

10.1016/j.ifacol.2022.09.240

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Since the development of the Fuzzy Logic theory by Zadah (1965), motivated by the human-level understanding of systems for the development of computational and mathematical frameworks, it has become an active research field for a broad spectrum of research in academia and the industry, from systems modelling to systems monitoring and control. In this research, the authors intend to highlight the use of Fuzzy Logic theory in metal additive manufacturing processes. The modelling of such processes has a lot of uncertainties due to the large underlying physics during the operation, which makes the Fuzzy Logic Controller a promising tool to deal with such a process. This work will provide a survey of the previous efforts and a case study to illustrate the approach's effectiveness in such a complex manufacturing technique. Copyright (C) 2022 The Authors.

引用

页码：37 / 42

页数：6