http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Multi-criteria shape design of crane-hook taking account of estimated load condition
Muromaki, Takao,Hanahara, Kazuyuki,Tada, Yukio Techno-Press 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.51 No.5
In order to improve the crane-hook's performance and service life, we formulate a multi-criteria shape design problem considering practical conditions. The structural weight, the displacement at specified points and the induced matrix norm of stiffness matrix are adopted as the evaluation items to be minimized. The heights and widths of cross-section are chosen as the design variables. The design variables are expressed in terms of shape functions based on the Gaussian function. For this multi-objective optimization problem with three items, we utilize a multi-objective evolutionary algorithm, that is, the multi-objective Particle Swarm Optimization (MOPSO). As a common feature of obtained solutions, the side views are tapered shapes similar to those of actual crane-hook designs. The evaluation item values of the obtained designs demonstrate importance of the present optimization as well as the feasibility of the proposed optimal design approach.
Multi-criteria shape design of crane-hook taking account of estimated load condition
Takao Muromaki,Kazuyuki Hanahara,Yukio Tada 국제구조공학회 2014 Structural Engineering and Mechanics, An Int'l Jou Vol.51 No.5
In order to improve the crane-hook‟s performance and service life, we formulate a multi-criteriashape design problem considering practical conditions. The structural weight, the displacement at specifiedpoints and the induced matrix norm of stiffness matrix are adopted as the evaluation items to be minimized. The heights and widths of cross-section are chosen as the design variables. The design variables areexpressed in terms of shape functions based on the Gaussian function. For this multi-objective optimizationproblem with three items, we utilize a multi-objective evolutionary algorithm, that is, the multi-objectiveParticle Swarm Optimization (MOPSO). As a common feature of obtained solutions, the side views aretapered shapes similar to those of actual crane-hook designs. The evaluation item values of the obtaineddesigns demonstrate importance of the present optimization as well as the feasibility of the proposed optimaldesign approach.
Optimization of jumping motion of a legged robot for different take-off postures
Xianglong Wan,Takateru Urakubo,Yukio Tada 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.4
This paper deals with an optimal jumping motion of a four-link legged robot that minimizes the necessary joint torques during the motion. A fixed amount of translational energy is supplied to the robot from joint torques by the take-off time when the foot leaves theground, and the rotations of joints are stopped in the air by the time when the robot reaches the maximum height with the joints fullyextended. Numerical optimization results for different take-off postures show that the take-off posture that is close to a singular configurationhas an advantage in supplying translational energy efficiently in ground phase, and is also useful for reducing the rotational energythat has to be eliminated in aerial phase.