Abstract
Tolerance design has become a very responsive and key issue in product and process development because of an informal compromise between functionality, quality, and manufacturing cost . The problem formulation becomes more complex with simultaneous selection of design and manufacturing tolerances and the optimization problem is difficult to solve with the traditional optimization techniques. Rao and More (Prod Manuf Res Open Access J 2: 71–94, 2014) used TLBO algorithm for the optimal selection of design and manufacturing tolerances with an alternative manufacturing process to obtain the optimal solution. An example of knuckle joint assembly with three arms is presented in this chapter and it is found that the TLBO algorithm has produced better results when compared to those obtained using NSGA-II and MOPSO algorithms.
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References
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Rao, R.V. (2016). Multiobjective Optimization of Design and Manufacturing Tolerances Using TLBO Algorithm. In: Teaching Learning Based Optimization Algorithm. Springer, Cham. https://doi.org/10.1007/978-3-319-22732-0_12
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DOI: https://doi.org/10.1007/978-3-319-22732-0_12
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