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지용주,이상진,박후명,곽재섭,하만경 한국공작기계학회 2004 한국공작기계학회 추계학술대회논문집 Vol.2004 No.-
A measure for good products manufactured by grinding process is the surface roughness that is affected by a lot of operating parameters such as types of abrasive, grain size, bond material, wheel speed, table speed, depth of cut, hardness of workpiece and stiffness of grinding machine. In this study, an application of the design of experiments was tried for evaluating the effect of operating parameters on the surface roughness. The workpiece was a high speed tool steel(SKH5I) and the surface grinding was conducted. In order to obtain the best surface roughness within constraints of the working range, the optimal grinding conditions were selected. The usefulness of this method was evaluated by the statistical strategy.
지용주,곽재섭,하만경 한국공작기계학회 2004 한국생산제조학회지 Vol.13 No.2
Because a generated heat h g grinding operation makes a serious deformation on a ground surface as a convex form, a real depth of cut in deformed zone has larger than an ideal depth of cut. Consequently, the ground surface has a geometric error as a concave form after cooling the workpiece. In this study, the force and the geometric error of surface grinding were examined. From evaluating magnitude and mode of the geometric error according to grinding conditions, an optimal grinding condition was proposed to minimize the geometric error. In addition, the relationship between the geometric error and the grinding force was found out. Due to least square regression, it was able to predict the geometric error by using the grinding force.
지용주,곽재섭,하만경 한국공작기계학회 2004 한국생산제조학회지 Vol.13 No.4
Various controllable parameters of an experiment have influence on grinding process. In order to get good products with a high quality, these parameters should be considered whether each parameter has relations to the quality. This paper describes the use of the design of experiments to minimize geometric error in surface grinding. Controllable parameters for the design of experiments were selected as spindle speed, table speed, depth of cut and grain size. From the experimental results, a degree of influence between these parameters and the geometric error was evaluated. An optimal set of grinding conditions was obtained by means of analysis of variance(ANOVA).
지용주,곽재섭,하만경 한국공작기계학회 2004 한국공작기계학회 춘계학술대회논문집 Vol.2004 No.-
This paper deals with the evaluation of geometric error and the optimization of process parameters in surface grinding. Taguchi method which is one of the design of experiments has been introduced in achieving the aims. The process parameters were the grain size, the wheel speed, the depth of cut and the table speed. The effect of the process parameters on the geometric error was examined and an optimal set of the parameters was selected to minimize the geometric error within the controllable range of the used grinding machine. The reliablity of the results was evaluated by the ANOVA.
Q-learning 모델을 이용한 IoT 기반 주차유도 시스템의 설계 및 구현
지용주,최학희,김동성,Ji, Yong-Joo,Choi, Hak-Hui,Kim, Dong-Seong 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.3
This paper proposes an optimal dynamic resource allocation method in IoT (Internet of Things) parking guidance system using Q-learning resource allocation model. In the proposed method, a resource allocation using a forecasting model based on Q-learning is employed for optimal utilization of parking guidance system. To demonstrate efficiency and availability of the proposed method, it is verified by computer simulation and practical testbed. Through simulation results, this paper proves that the proposed method can enhance total throughput, decrease penalty fee issued by SLA (Service Level Agreement) and reduce response time with the dynamic number of users.
지용주,이상진,박후명,오상록,하만경,Chi, Long-Zhn,Lee, Sang-Jin,Park, Hoo-Myung,Oh, Sang-Lok,Ha, Man-Kyung 한국기계가공학회 2004 한국기계가공학회지 Vol.3 No.2
A real depth of cut in deformed zone has larger than an ideal depth of cut. So the heat generated during grinding operation makes the deformation of a workpiece surface as convex farm. Consequently the workpiece surface remains a geometric error as concave form after cooling In this study, the grinding force and the geometric error were examined in surface grinding. Through magnitude and mode of geometric error were evaluated according to grinding conditions, an optimal grinding condition was proposed to minimize the geometric error In addition, the relationship between the geometric error and the grinding force was examined. Due to least square regression, It was possible to predict the geometric error by using the grinding force.