http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
김일수(Kim Ill-Soo),김학형(Kim Hak-Hyoung),조선영(Cho Sun-Young),강봉용(Kang Bong-Yeong),강문진(Kang Mun-Jin),유관종(You Kwan-Jong) 한국생산제조학회 2004 한국생산제조시스템학회 학술발표대회 논문집 Vol.2004 No.4
Over the last few years, there has been a growing interest in quantitative representation eld pools in order to relate the processing conditions to the driving forces of the welding produced and to use this information for the optimization of the welding process. A theoretical model offers a powerful alternative to check the physical concepts of the welding process and the effects of driving forces. To solve this problem, a 2-D thermo-fluid model were developed for determining temperature and velocity distribution for the GMA welding process.
김일수,김학형,장한기,김희진,곽성규,유회수,심지연,Kim, Ill-Soo,Kim, Hak-Hyoung,Jang, Han-Kee,Kim, Hee-Jin,Kwak, Sung-Kyu,Ryoo, Hoi-Soo,Shim, Ji-Yeon 대한용접접합학회 2009 대한용접·접합학회지 Vol.27 No.4
In the process to manufacture for metallic structures, control of welding deformation is one of an important problems connected with reliability of the manufactured structures so that welding deformation should be measured and controlled with quickly and actively. Also, welding parameters which have as lot of effects on welding deformation such as arc voltage, welding current and welding speed can also be controlled. The objectives for this study were to develop a simple 2-D FEM to calculate not only the transient thermal histories but also the sizes of fusion and heat-affected zone (HAZ) in multi pass arc welds including the butt and fillet weld type with dissimilar thickness, and to concentrate on a developed model for the finding the parameters of Godak's moving heat source model based on a GA. The developed model includes a GA program using MATLB and GA toolbox, and a batch mode thermal model using ANSYS software. Not only the thermal model was verified by comparison with Goldak's work but also the developed model was validated with molten zone section experimental data.
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.
GMA 용접공정에서 공정변수 선정을 위한 민감도 분석에 관한 연구
김일수(Ill Soo Kim),심지연(Ji Yeon Shim),김인주(In Ju Kim),김학형(Hak Hyoung Kim) 한국생산제조학회 2008 한국생산제조학회지 Vol.17 No.5
As the quality of a weld joint is strongly influenced by process parameters during the welding process, an intelligent algorithms that can predict the bead geometry and shape to accomplish the desired mechanical properties of the weldment should be developed. This paper focuses on the development of mathematical models for the selection of process parameters and the prediction of bead geometry(bead width, bead height and penetration) in robotic GMA(Gas Metal Arc) welding. Factorial design can be employed as a guide for optimization of process parameters. Three factors were incorporated into the factorial model: arc current, welding voltage and welding speed. A sensitivity analysis has been conducted and compared the relative impact of three process parameters on bead geometry in order to verify the measurement errors on the values of the uncertainty in estimated parameters. The results obtained show that developed mathematical models can be applied to estimate the effectiveness of process parameters for a given bead geometry, and a change of process parameters affects the bead width and bead height more strongly than penetration relatively.
김지선(Ji-Sun Kim),김일수(Ill-Soo Kim),정재원(Jae-Won Jeong),김학형(Hak-hyoung Kim) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.5
Recently, the improvement of computer capacities and artificial intelligence ware caused to employ for prediction of bead geometry. There are a lot of researches regarding the measurement and prediction of bead geometry for weldment using a neural network in the advanced countries. The objective of this paper is to develop the algorithm that enables the determination of process parameters from the optimized bead geometry for robotic GMA welding using multiple regression analysis and neural network. The experimental results show that the proposed algorithms can predict the bead height with reasonable accuracy and guarantee the uniform weld quality.
An Experimental Study on Mathematical Model to Predict Bead Width in GMA Weldment
김일수(Ill Soo Kim),박민호(Min Ho Park),김학형(Hak Hyoung Kim),이종표(Jong Pyo Lee),박철균(Cheol Kyun Park),심지연(Ji Yeon Shim) Korean Society for Precision Engineering 2015 한국정밀공학회지 Vol.32 No.2
Generally welding is one of the most important processes to have a strong influence on the quality and productivity from a manufacture-based industry such as shipbuilding, automotive and machinery. The GMA(Gas Metal Arc) welding process involves large number of interdependent welding parameters which may affect product quality, productivity and cost effectiveness. To solve such problems, mathematical models are required to select the welding parameters for GMA welding process. In this study, the GMA welding process was studied using the information generated during the welding. The statistical analysis of a generalized regression approach was conducted by the following three methods: Firstly using the mathematical model (linear regression, 2nd regression); Secondly GA(Genetic Algorithm) with intelligent models; And finally using response surface analysis of models to develop the relationships between welding parameters and bead width as welding quality.
김일수(Ill-Soo Kim),유관종(Kwan-Jong Yu),서주환(Joo-Hwan Se),손준식(Joon-Sik Son),김학형(Hak-Hyoung Kim) 한국생산제조학회 2006 한국생산제조시스템학회 학술발표대회 논문집 Vol.2006 No.5
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 height on fillet welding and to compare the neural network model and the two regression equations in order to select an optimal prediction model.
신규 세파로스로린 항생제 DWC-751 합성과 물성연구
김명구(Myoung Goo Kim),안상근(Sang Geun An),최영기(Yong Key Choi),문치장(Chi-Jang Moon),오세한(Sea Han Oh),성무제(Moo Je Sung),윤길중(Geal Jung Yun),신종만(Jong Man Shin),김학형(Hak Hyoung Kim),정종근(Jong Keun Chung),김영도(Yeong Do 한국응용약물학회 1993 Biomolecules & Therapeutics(구 응용약물학회지) Vol.1 No.1
The synthesis and physicochemical properties of a novel cephalosporin, DWC-751 are described. DWC-751, (6R, 7R)-7-[(Z)-2-(2-aminothiazol-4-yl)-2-methoxyiminoacetamido]-3-[(1-methylbenzotriazol-3-ium)methyl]-ceph-3-em-4-carboxylate monosulfate(IV_a) was conveniently obtained by the conversion of compound(IV) into the crystalline monosulfate. Adjusting pH 4.8-5.2 in aqeous solution of the crude crystalline, compound(IV) in the form of a crystalline pentahydrate was prepared with a high degree of purity. The influence of the various organic and inorganic acids on the solubility of compoud(IV) and its salts, was examined. Particularly, the solubility of DWC-751 was 92 ㎎/㎖ at pH 1.7 and 233 ㎎/㎖ at pH 3.0. DWC-751 showed a broad antimicrobial spectrum against gram-positive and negative bacteria.