• 한국정밀공학회지
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• 제29권4호
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• pp.373-379
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• 2012

Disruptions in manufacturing systems caused by system changes and disturbances such as the tool wear, machine breakdown, malfunction of transporter, and so on, reduce the productivity and the increase of downtime and manufacturing cost. In order to cope with these challenges, a new method to build an intelligent manufacturing system with biological principles, namely an ant colony inspired manufacturing system, is presented. In the developed system, the manufacturing system is considered as a swarm of cognitive agents where work-pieces, machines and transporters are controlled by the corresponding cognitive agent. The system reacts to disturbances autonomously based on the algorithm of each autonomous entity or the cooperation with them. To develop the ant colony inspired manufacturing system, the disturbances happened in the machining shop of a transmission case were analyzed to classify them and to find out the corresponding management methods. The system architecture with the autonomous characteristics was generated with the cognitive agent and the ant colony technology. A test bed was implemented to prove the functionality of the developed system.

• 한국경영과학회지
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• 제29권2호
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• pp.77-95
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• 2004

This paper deals with the process planning of flexible manufacturing systems (FMS) with various flexibilities and multiple objectives. The consideration of the manufacturing flexibility is crucial for the efficient utilization of FMS. The machine, tool, sequence, and process flexibilities are considered In this research. The flexibilities cause to increase the Problem complexity. To solve the process planning problem, an this paper an evolutionary algorithm is used as a methodology. The algorithm is named multiobjective competitive evolutionary algorithm (MOCEA), which is developed in this research. The feature of MOCEA is the incorporation of competitive coevolution in the existing multiobjective evolutionary algorithm. In MOCEA competitive coevolution plays a role to encourage population diversity. This results in the improvement of solution quality and, that is, leads to find diverse and good solutions. Good solutions means near or true Pareto optimal solutions. To verify the Performance of MOCEA, the extensive experiments are performed with various test-bed problems that have distinct levels of variations in the four kinds of flexibilities. The experiments reveal that MOCEA is a promising approach to the multiobjective process planning of FMS.

• Composites Research
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• 제19권2호
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• pp.13-19
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• 2006

본 논문에서는 미세 방전가공(Electrical Discharge Machining; EDM) 기계를 위한 샌드위치 구조를 설계하기 위해 복합재료의 적층 순서, 두께, 그리고 리브의 형상 등을 고려한 파라메트릭 연구를 수행하였다. 샌드위치 구조는 면재인 섬유강화 복합재료와 심재인 레진 콘크리트 및 고분자 포움으로 이루어졌다. 컬럼은 정적 굽힘강성과 비굽힘강성을 높이기 위해 십자 리브를 가진 형상으로 설계하였으며, 적층 순서와 두께를 조절하였다. 베드의 경우 양방향의 강성을 동시에 향상시키기 위해 적층 순서와 리브 형상을 조절하였다. 최적의 고강성을 얻기 위하여 리브의 두께와 면재의 두께 등 설계 파라메터의 최적치를 제안하였다. 각 설계 파라메터의 변화에 따른 구조의 정적, 동적 강성의 변화를 확인하기 위해 유한요소해석을 수행하였으며, 진동 실험을 통하여 각 요소의 고유진동수와 감쇠비를 측정하여 비교하였다. 이러한 결과로부터 고정밀 미세 방전가공 기계 구조를 위한 최적의 형상조건을 제안하였다.