PSO를 이용한 문자마킹 표면비드 폭에 따른 최적의 공정변수에 대한 연구
Predicting optimal welding parameters for top-bead width in a letter marking welding process using PSO
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초록
용접관련 기술에 의한 생산성 향상에는 용접작업을 설계기준과 일치되게 하는 사전준비과정이 필요하다. 이는 공정단계별로 부재의 정밀도를 유지하여 적정 Gap 등 용접 Joint부의 형상을 규정대로 유지함으로써, 용접작업의 생산성향상을 도모할 수 있다. 그리고 용접 품질을 개선하기 위하여 용접기법 개선, 자동화, 로봇트화가 요구된다. 특히 용접단위 공정의 결함방지, 고능률화를 도모하여 생산성 향상을 실현할 수 있다. 따라서 본 연구는 PSO(Particle Swarm Optimization)를 이용하여 문자마킹 시스템에 필요한 최적화 알고리즘을 개발하였다. 이러한 연구 목표를 달성하기 위하여, 먼저 GMA 용접실험을 수행하였고 최적의 비드형상을 예측하기 위하여 PSO 알고리즘을 이용하여 최적의 용접부의비드 형상 (비드 폭과 높이)을 예측하였다. PSO 알고리즘을 이용하여 문자마킹 용접에 필요한 4 mm, 6 mm, 8 mm 비드형상 예측 및 최적의 공정변수를 선정하고 3D Scan을 통하여 검증하였다.
Abstract
Productivity improvement via welding technologies entails the welding operation to be consistent with the design standards in the preliminary preparation process. This aids in maintaining precision among members in each step of the process, as well as the shape of the welded joints, such as modeling any gaps as specified, thereby streamlining the welding operation. An effective welding technique, automation, and robotization are all important determinants in enhancing the overall welding quality. In particular, process efficacy can be realized by mitigating defects in the welding unit, which can also contribute to improving the productivity. To achieve these research goals, a set of GMA welding experiments are conducted to predict the bead geometry (width and height) of an optimal weld using the particle swarm optimization (PSO) algorithm. Three prediction instances of the bead shape, as computed using the algorithm, viz., 4 mm, 6 mm, and 8 mm and optimal process variables, essential for a letter marking welding, are selected and verified through a 3D scan.
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