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파이프 내면용접조건 선정을 위한 데이터베이스 시스템 개발에 관한 연구
김학형(H. H. Kim),서주환(J. H. Seo),심지연(J. Y. Shim),손준식(J. S. Son),김일수(I. S. Kim),유관종(K. J. Yoo) 한국생산제조학회 2007 한국생산제조시스템학회 학술발표대회 논문집 Vol.2007 No.10
Welding process involves large number of interdependent variables which may affect product quality, productivity and cost effect in pipeline industry. Especially, it is essential to make the automated welding system on inner-pipe welding due to the change welding conditions for different welding environments. In this study, we have carried out the sequential experiment to select the standard welding conditions for inner-pipe welding and develop the suitable 3 neural network to predict the optimized welding conditions. Finally, Management system for inner-pipe welding conditions have develop to get better welding quality. With the use of the developed system, It can be more simple to use the automatic welding process and optimization technique.
김인주(I. J. Kim),박창언(C. E. Park),김일수(I. S. Kim),성백섭(S. B. Sung),손준식(J. S. Son),유관종(K. J. You),김학형(H. H. Kim) 한국정밀공학회 2004 한국정밀공학회 학술발표대회 논문집 Vol.2004 No.10월
The robotic CO₂ welding is a manufacturing process to produce high quality joints for metal and it could provide a capability of full automation to enhance productivity. Despite the widespread use in the various manufacturing industries, the full automation of the robotic CO₂ welding has not yet been achieved partly because the mathematical model for the process parameters of a given welding task is not fully understood and quantified. Several mathematical models to control welding quality, productivity, microstructure and weld properties in arc welding processes have been studied. However, it is not an easy task to apply them to the various practical situations because the relationship between the process parameters and the bead geometry is non-linear and also they are usually dependent on the specific experimental results. Practically, it is difficult, but important to know how to establish a mathematical model that can predict the result of the actual welding process and how to select the optimum welding condition under a certain constraint. In this research, an attempt has been made to develop an intelligent algorithm to predict the weld geometry (top-bead width, top-bead height, back-bead width and back-bead height) as a function of key process parameters in the robotic CO₂welding. To achieve this above objective, Taguchi method was employed using five different process parameters (tip gap, gas flow rate, welding speed, arc current, welding voltage) as a guide for optimization of process parameters.
김일수(I. S. Kim),손준식(S. J. Son),김학형(H. H. Kim),서주환(J. H. Seo),김인주(I. J. Kim) 한국정밀공학회 2005 한국정밀공학회 학술발표대회 논문집 Vol.2005 No.10월
Optimization of process variables such as arc current, welding voltage and welding speed in terms of the weld characteristics desired is the key step in achieving high quality and improving performance characteristics without increasing the cost. Consequently, incorrect settings of those process variables give rise to deviations in the welding characteristics from the desired bead geometry. Therefore, trainee welders are referred to the tabulated information relating different metal types and thickness as to recommend the desired values of process variables. 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 Infra-red sensor in sensing and control of the bead geometry in the automated welding process are presented. Infra-red sensor is a well-known method to deal with the problems with a high degree of fuzziness so that the sensor is employed to build the relationship between process variables and the quality characteristic the proposed above respectively. Based on several neural networks, the mathematical models are derived from extensive experiments with different welding parameters and complex geometrical features. The developed system enables to select the optimal welding parameters and control the desired weld dimensions during arc welding process.
적외선 센서를 이용한 용접선 추적 및 용접품질 모니터링에 관한 연구
김일수(I. S. Kim),손준식(J. S. Son),김학형(H. H. Kim),서주환(J. H. Seo),김인주(I. J. Kim) 한국정밀공학회 2006 한국정밀공학회 학술발표대회 논문집 Vol.2006 No.5월
In this paper, the possibilities of the Infra-red sensor in sensing and control of the bead geometry in the automated welding process are presented. Infra-red sensor is a well-known method to deal with the problems with a high degree of fuzziness so that the sensor is employed to build the relationship between process variables and the quality characteristic the proposed above respectively. Based on several neural networks, the mathematical models are derived from extensive experiments with different welding parameters and complex geometrical features. The developed system enables to select the optimal welding parameters and control the desired weld dimensions during arc welding process.
김옥삼(O. S. Kim),김일수(I. S. Kim),김학형(H. H. Kim),심지연(J. Y. Shim) 한국동력기계공학회 2007 한국동력기계공학회 학술대회 논문집 Vol.- No.-
This study attempts to develope the Kaplan turbine generators which is expected to run efficiently even in very low head and small flow rate, so that the limitations on the conventional small scale hydropower generation could be alleviated and competition with other alternative energy sources in the changable optimal design conditions could be attained. The Kaplan turbine impeller of a new concept was designed based on geometric similarity, hydrodynamics and theory of power transmission.