[ Papers ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 30, No. 3, pp.181-189

ISSN: 2508-5107 (Online)

Print publication date 15 Jun 2021

Received 19 Apr 2021 Revised 07 Jun 2021 Accepted 07 Jun 2021

DOI: https://doi.org/10.7735/ksmte.2021.30.3.181

GA 기법을 이용한 쇼트 블라스트 공정 최적화에 대한 연구

오원빈^a ; 윤태종^a ; 이보람^a ; 이충우^a ; 손준식^b ; 박민호^b ; 김일수^a^{, *}

A Study on the Optimization of Shot Blast Process Using GA Method

Won-Bin Oh^a ; Tae-Jong Yun^a ; Bo-Ram Lee^a ; Chung-Woo Lee^a ; Joon-Sik Son^b ; Min-Ho Park^b ; Ill-Soo Kim^a^{, *}

aDepartment of Mechanical Engineering, Mokpo National University
bSouthwestern Division, Research Institute of Medium & Small Shipbuilding

Correspondence to: ^*Tel.: +82-61-454-3455 E-mail address: ilsookim@mokpo.ac.kr (Ill-Soo Kim).

Abstract

A large amount of foreign matter on the surface of shipbuilding equipment leads to insufficient paint adsorption and extremely low film formation rates, causing various problems. Therefore, sufficient degreasing to remove foreign substances is important, and studies on various surface treatment technologies to form coating films with excellent adsorption is necessary. Therefore, in this study, a genetic algorithm (GA) technique was used to optimize the shot blast process parameters. The life of mechanical parts can be extended by increasing the adhesion of the coating film for aquaculture and increasing the elasticity and abrasion resistance of the parts. To this end, the surface roughness was examined via shot blasting experiments with various materials (SS400, S45C, and SUS304), and a mathematical model was developed. GA optimization techniques Perform an experiment to select the optimal process variable using.

Keywords:

Shot blast, GA method, Mathematical model, Marine equipment, Shot ball, Optimization

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Won-Bin Oh

The Master degree in Mechanical Engineering at Mokpo National University. He is currently pursuing Doctor degree.His area of research interest is automatic welding control. He is currently studying on prediction model.

E-mail: wboh@mokpo.ac.kr

Tae-Jong Yun

E-mail: tjyun@mokpo.ac.kr

Bo-Ram Lee

The Master degree in Mechanical Engineering at Mokpo National University. She is currently pursuing Doctor degree.She is currently studying on numerical studies on mechanical characteristics for plasma cutting .

E-mail: boramess@mokpo.ac.kr

Chung-Woo Lee

He is currently pursuing his Master degree in Mechanical Engineering at Mokpo National University.His area of research interest is automatic control.

E-mail: enffl201@mokpo.ac.kr

Joon-Sik Son

Doctor in the Department of Mechanical Engineering, Mokpo National University.His research interest is automation facilities and artificial intelligence.

E-mail: jsson@rims.re.kr

Min-Ho Park

Doctor in the Department of Mechanical Engineering, Mokpo National University.His research interest is welding simulation.

E-mail: mhpark@rims.re.kr

Ill-Soo Kim

Professor of Mechanical Engineering, Mokpo National University. Dr. Kim worked as a researcher in industry and universities for over 20 years at University of Wollongong, Seoul National University, Mokpo National University.His area of research interest is automatic control.

E-mail: ilsookim@mokpo.ac.kr