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RISS 인기검색어
- 검색키워드
- 저자 : Himanshu Chaudhary (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Optimal design of planar slider-crank mechanism using teaching-learning-based optimization algorithm
Kailash Chaudhary,Himanshu Chaudhary 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.12
In this paper, a two stage optimization technique is presented for optimum design of planar slider-crank mechanism. The slidercrankmechanism needs to be dynamically balanced to reduce vibrations and noise in the engine and to improve the vehicle performance. For dynamic balancing, minimization of the shaking force and the shaking moment is achieved by finding optimummass distribution of crank and connecting rod using the equimomental system of point-masses in the first stage of the optimization. In the second stage, their shapes are synthesized systematically by closed parametric curve, i.e., cubic B-spline curve correspondingto the optimum inertial parameters found in the first stage. The multi-objective optimization problem to minimize boththe shaking force and the shaking moment is solved using Teaching-learning-based optimization algorithm (TLBO) and its computationalperformance is compared with Genetic algorithm (GA).
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Dynamic balancing of planar mechanisms using genetic algorithm
Kailash Chaudhary,Himanshu Chaudhary 대한기계학회 2014 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.28 No.10
This paper presents an optimization technique to dynamically balance the planar mechanisms in which the shaking forces and shakingmoments are minimized using the genetic algorithm (GA). A dynamically equivalent system of point-masses that represents each rigidlink of a mechanism is developed to represent link’s inertial properties. The shaking force and shaking moment are then expressed interms of the point-mass parameters which are taken as the design variables. These design variables are brought into the optimizationscheme to reduce the shaking force and shaking moment. This formulates the objective function which optimizes the mass distribution ofeach link. First, the problem is formulated as a single objective optimization problem for which the genetic algorithm produces betterresults as compared to the conventional optimization algorithm. The same problem is then formulated as a multi-objective optimizationproblem and multiple optimal solutions are created as a Pareto front by using the genetic algorithm. The masses and inertias of the optimizedlinks are computed from the optimized design variables. The effectiveness of the proposed methodology is shown by applying it toa standard problem of four-bar planar mechanism available in the literature.
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Dynamics and actuating torque optimization of planar robots
Vinay Gupta,Himanshu Chaudhary,Subir K. Saha 대한기계학회 2015 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.29 No.7
An optimization methodology is presented for design of serial-chain planar robots for minimizing torque at joints, when its endeffectoris supposed to move on a prescribed path. In particular, the end-effector of the robot is allowed to move on a circular path. Forthe respective joint trajectories, the weighted sum of root mean square (RMS) of the actuating torques is minimized by the mass redistributionof the links. To achieve the goal, the DeNOC (Decoupled natural orthogonal complement) based dynamics was formulated byrepresenting the rigid links as a set of rigidly connected point-masses known as equimomental system. The methodology is illustratedusing a planar two-degree-of-freedom (DOF) robot with two revolute joints.
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