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A Review of Adhesion and Friction Models for Gecko Feet
곽재섭,김태완 한국정밀공학회 2010 International Journal of Precision Engineering and Vol.11 No.1
The attachment pads of geckos exhibit the most versatile and effective adhesive known in nature. Their fibrillar structure is the primary source of high adhesion and their hierarchical structure produces the adhesion enhancement by giving the gecko the adaptability to create a large real area of contact with surfaces. Although geckos are capable of producing large adhesive forces, they retain the ability to remove their feet from an attachment surface at will. Detachment is achieved by a peeling motion of the gecko’s feet from a surface. During the last few years, many researches have been conducted to develop the theoretical models that explain the gecko to adhere and detach from surfaces at will, including micro/macroscopic gecko adhesion, friction and peeling models for gecko hierarchical fibrillar structure contacting to rough surface. This review describes the progress in the modeling filed for gecko adhesion, friction and peeling, and discussed the future issues for gecko modeling.
Detection Technique of Fault Phenomena Using Power Parameters in Grinding Process
곽재섭,하만경 한국정밀공학회 2002 International Journal of Precision Engineering and Vol.3 No.1
The grinding process has been mainly used for finishing metal products as final machining stage. But chatter vibration and burn of a workpiece have a bad effect on the machined surface and should be detected in modern grinding process. This paper deals with a fault detection of the cylindrical plunge grinding process by power parameters. During the grinding process the power signals of an induced motor were sampled and used to determine the relationship between fault and change of power parameters. A neural network was used for detecting the grinding fault and an influence of power parameters to the grinding fault was analyzed.
휴리스틱 알고리즘을 이용한 평면 자기연마 공구경로 최적화
곽재섭(Jae-Seob Kwak),김태희(Tae Hee Kim),김상오(Sang-Oh Kim) 한국생산제조학회 2010 한국공작기계학회 추계학술대회논문집 Vol.2010 No.-
This paper focuses on the optimal step-over value for magnetic tool path. Since magnetic flux density is changed according to distance from center of magnetic tool. Enhanced surface roughness is also different according to change of radius. Therefore, to get a identical surface roughness on workpiece, it is necessary to find optimal tool path including step-over. In this study, response surface models for surface roughness according to change of radiuses were developed, and then optimal enhanced surface roughness for each radius was selected using genetic algorithm and simulated annealing to investigate relation between radius and surface roughness. As a result, it found that step-over value of 6.6mm is suitable for MAP of magnesium alloy.