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GMA용접에서 비드단면형상을 예측하기 위한 실험적 모델의 개발
손준식,김일수,박창언,김인주,정호성,Son Joon-Sik,Kim Ill-Soo,Park Chang-Eun,Kim In-Ju,Jeong Ho-Seong 대한용접접합학회 2005 대한용접·접합학회지 Vol.23 No.4
Generally, the use of robots in manufacturing industry has been increased during the past decade. GMA(Gas Metal Arc) welding process is an actively Vowing area, and many new procedures have been developed for use with high strength alloys. One of the basic requirement for the automatic welding applications is to investigate relationships between process parameters and bead geometry. The objective of this paper is to develop a new approach involving the use of neural network and multiple regression methods in the prediction of bead geometry for GMA welding process and to develop an intelligent system that visualize bead geometry in order to employ the robotic GMA welding processes. Examples of the simulation for GMA welding process are supplied to demonstrate and verify the proposed system developed using MATLAB. The developed system could be effectively implemented not oかy for estimating bead geometry, but also employed to monitor and control the bead geometry in real time.
손준식,김일수,김학형,Son, Joon-Sik,Kim, Ill-Soo,Kim, Hak-Hyoung 대한용접접합학회 2007 대한용접·접합학회지 Vol.25 No.6
Recently, several models to control weld quality, productivity and weld properties in arc welding process have been developed and applied. Also, the applied model to make effective use of the robotic GMA(Gas Metal Arc) welding process should be given a high degree of confidence in predicting the bead dimensions to accomplish the desired mechanical properties of the weldment. In this study, a development of the on-line learning neural network models that investigate interrelationships between welding parameters and bead width as well as apply for the on-line quality control system for the robotic GMA welding process has been carried out. The developed models showed an excellent predicted results comparing with the predicted ability using off-line learning neural network. Also, the system will extend to other welding process and the rule-based expert system which can be incorporated with integration of an optimized system for the robotic welding system.
GMA용접에서 유전자 알고리즘을 이용한 비드높이 예측 모델 개발에 관한 연구
손준식(Joon-Sik Son),김일수(Ill-Soo Kim),장경천(Kyeung-Cheun Jang),이동길(Dong-Gil Lee) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
Gas metal arc welding process has been chosen as a metal joining technique due to the wide range of usable applications, cheap consumables and easy handling. Three main indicators such as arc voltage, welding speed and welding current have a big influence in the quality welding. Since all these factors affect the quality of the welded joining parts, the effect of these parameters was investigated experimentally. In this paper, an attempt has been made to develop the predicted models (quadratic and cubic) for bead height using genetic algorithm. Performance of the developed models were proved to be compared to the regression equation.
손준식(Joon-Sik Son),전광석(Kwang-Suk Chon),김일수(Ill-Soo Kim),서주환(Joo-Hwan Seo),장경천(Kyeung-Cheun Jang) 한국생산제조학회 2005 한국공작기계학회 추계학술대회논문집 Vol.2005 No.-
The robotic CO₂ welding is widely employed in the fabrication industry for increasing productivity and enhancing product quality by its high processing speed, accuracy and repeatability. Reprogramming techniques have proved to be inadequate in taking into consideration of the component distortion due to heat imperfections during the welding process. Basically, the bead geometry plays an important role in determining the mechanical properties of the weld. So that it is very important to select the process variables for obtaining optimal bead geometry. However, it is difficult for the traditional identification methods to provide an accurate model because the optimized welding process is non-linear and time-dependent. In this paper, the possibilities of the Infrared camera in sensing and control of the bead geometry in the automated welding process are presented. Bead width and isotherm radii can be expressed in terms of process parameters using mathematical equations obtained by empirical analysis using infrared camera.
손준식(Joon-Sik Son),김일수(Ill-Soo Kim),유관종(Kwan-Jong Yu),전광석(Kwang-Suk Chon) 대한기계학회 2006 대한기계학회 춘추학술대회 Vol.2006 No.9
The GMA welding process involves large number of interdependent variables which may affect product quality, productivity and cost effectiveness. The relationship between process parameters for a fillet welding and bead geometry is complex because a number of process parameters are involved. To make the automated GMA welding, it is essential that a mathematical model that predicts bead geometry and accomplishes the desired mechanical properties of the weldment is developed. In this paper, an attempt has been made to develop a neural network model and two regression equations (linear and curvilinear) to predict a bead width on fillet welding and to compare the neural network model and the two regression equations in order to select an optimal prediction model.
김일수,전광석,손준식,서주환,김학형,심지연,Kim, Ill-Soo,Chon, Kwang-Suk,Son, Joon-Sik,Seo, Joo-Hwan,Kim, Hak-Hyoung,Shim, Ji-Yeon 대한용접접합학회 2006 대한용접·접합학회지 Vol.24 No.5
The robotic arc welding is widely employed in the fabrication industry fer increasing productivity and enhancing product quality by its high processing speed, accuracy and repeatability. Basically, the bead geometry plays an important role in determining the mechanical properties of the weld. So that it is very important to select the process variables for obtaining optimal bead geometry. In this paper, the possibilities of the Infrared camera in sensing and control of the bead geometry in the automated welding process are presented. Both bead width and thermal images from infrared thermography are effected by process parameters. Bead width and isotherm radii can be expressed in terms of process parameters(welding current and welding speed) using mathematical equations obtained by empirical analysis using infrared camera. A linear relationship exists between the isothermal radii producted during the welding process and bead width.