Journal
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY
Volume 29, Issue 12, Pages 5189-5198Publisher
KOREAN SOC MECHANICAL ENGINEERS
DOI: 10.1007/s12206-015-1119-5
Keywords
Dynamic balancing; Equimomental system; Link shape; Optimization; Slider-crank mechanism; Teaching-learning-based optimization algorithm
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Funding
- MHRD, Government of India
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In this paper, a two stage optimization technique is presented for optimum design of planar slider-crank mechanism. The slidercrank mechanism 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 optimum mass 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 corresponding to the optimum inertial parameters found in the first stage. The multi-objective optimization problem to minimize both the shaking force and the shaking moment is solved using Teaching-learning-based optimization algorithm (TLBO) and its computational performance is compared with Genetic algorithm (GA).
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