Rolling Element Bearing Design through Genetic Algorithms
نویسندگان
چکیده
The design of rolling element bearings has been a challenging task in the field of Mechanical Engineering. Traditional approaches to the design optimization of such bearings have proved to be computationally time intensive and have yielded solutions that are yet to be theoretically proven optimal. While most of the real aspects of the design are never disclosed by bearing manufacturers, the common engineer is left with no other alternative than to refer to standard tables and charts containing the bearing performance characteristics. This paper presents a more viable method to solve this problem using Genetic Algorithms (GAs). Since the algorithm is basically a guided random search, it weakens the chances of getting trapped in local maxima or minima. The paper also highlights the superiority and the ease of using GAs for the design as also the success of churning solutions that are far better than those obtained by conventional techniques. KeywordsRolling element bearings, Optimum design, Genetic algorithms. * Indraneel Chakraborty was with Computer Science Engineering at IIT Guwahati during this project. He is currently with Massachusetts Institute of Technology. He can be reached at [email protected] **Vinay Kumar was also with Computer Science Engineering at IIT Guwahati during this project. He is currently with Mindtree Consulting, India and can be reached at [email protected]
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