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치차장치 설계를 위한 설계지원 시스템 개발에 관한 연구
정태형,배인호,김현,Chong, Tae-Hyong,Bae, In-Ho,Kim, Hyun 대한기계학회 1997 大韓機械學會論文集A Vol.21 No.9
There have been a number of expert systems which are concerned with the design of machine elements such as gear, shaft, bearing and so on. However the design of more complicated systems such as gear dreives are still difficult. Thus, in consideration of the integrative nature of the system, we develop a design support system for gear drives which is composed of various machine elements-gear, shaft, bearing, key and so on. Design systems for each machine element are developed and integrated through object-oriented approach. Databases essential for data reference and/or data control in the design process are built up independently and interface to the main program. Expert systems are also developed and integrated for intelligent support to the designer, in those of the determination of gear specification and the selection of bearing types. Through the integration of design environment for each machine element, it is expected to increase the convenience in the design process and the stability of the design solution. And also the system management, including addition of various design/analysis modules and expansion to the gear drives of other types, can be conveniently achieved since the system has developed under due consideration of its efficiency and expandability through object-oriented programming approach.
체적과 신뢰성을 동시에 고려한 다단 기어장치의 최적설계
정태형(Tae Hyong Chong),박재희(Jae Hee Park),이정상(Joung Sang Lee) 한국생산제조학회 2006 한국공작기계학회 춘계학술대회논문집 Vol.2006 No.-
This paper is focused on the optimum design for decreasing volume and increasing reliability of multi-stage gear drive. The genetic algorithm is introduced to multi-objective optimization method and it is used to make the optimum design program to divide the gear ratio and determine the gear size, using exterior penalty function method to solve the complicated subject conditions. A 5 staged gear drive(geared motor) is chosen to compare the developed optimum design with the existing design. It is performed by volume objectives, reliability objectives, and multi-objectives. The above results are estimated by comparing each evaluated optimum design with the existing design. As a result, optimum solution is produced, which decreases volume and. increases reliability by putting the weight on the multi-objective function appropriately.