A Study on Development of a New Algorithm for Predicting the Process Variables in GMA Welding Processes

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概要

• 論文の詳細を見る

• Gas Metal Arc(GMA) welding is extensively employed in the metal industries to weld a variety of ferrous and non-ferrous metals because of its potential for increasing the productivity and quality of welding which is controlled by the process parameters. The objective of this paper is to develop the algorithm that enables the determination of process variables from the optimized bead geometry for robotic GMA welding. It depends on the inversion of empirical equations derived from multiple regression analysis of the relationships between the process variables and the bead dimensions using the least square method. The method directly determines those variables which will give the desired set of bead geometry. This avoids the need to iterate with a succession of guesses employed Finite Element Method (FEM). These results suggest that process variable from experimental equation for robotic GMA welding may be employed to monitor and control the bead geometry in real time.

• 一般社団法人日本機械学会の論文
• 2001-06-15

著者

• Cha Yong

  Department Of Chemical Technology Seoul National University:department Of Chemical Technology Seoul

• Kim Ill-soo

  Department Of Mechanical Engineering Mokpo National University

• Son Joonsik

  Department Of Mechanical Engineering College Of Engineering Mokpo National University

• KIM IIISoo

  Department of Mechanical Engineering, College of Engineering, Mokpo National University

• PARK ChangEun

  Department of Mechanical Engineering, College of Engineering, Mokpo National University

• CHA YongHoon

  Department of Mechanical Engineering, Chosun University

• JEONG YoungJae

  Department of Mechanical Engineering, College of Engineering, Mokpo National University

• KIM InKwon

  Department of Mechanical Engineering, Chosun University

• KIM JaeYoe

  Department of Mechanical Engineering, Chosun University

• Kim Jaeyoe

  Department Of Mechanical Engineering Chosun University

• Kim Iiisoo

  Department Of Mechanical Engineering College Of Engineering Mokpo National University

• Kim Inkwon

  Department Of Mechanical Engineering Chosun University

• Cha Yonghoon

  Department Of Mechanical Engineering Chosun University

• Jeong Youngjae

  Department Of Mechanical Engineering College Of Engineering Mokpo National University

• Park Changeun

  Department Of Mechanical Engineering College Of Engineering Mokpo National University

• Park Chang-Eun

  Department of Mechanical Engineering, College of Engineering, Mokpo National University

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