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Computer-Aided Algorithm for Nonlinear Optimization of Pre-machining Using Measuring Instrument

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Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

Abstract

In a computer-aided multivariant design of processes, an important problem consists in optimizing the machining parameters for making holes in solid workpieces. When solving this problem, there arise such problems as choosing solution methods and optimization criteria as well as determining the scope of acceptable solutions. For instance, if using a linear programming algorithm, one has to simplify their solutions which are acceptable if computational capacities are limited. Due to the fact that, when describing an optimal metal cutting process with different machining methods, both the target function and the system of constraints are nonlinear; it is, therefore, obvious that the most acceptable computational algorithm consists in solving a nonlinear programming problem based on the method of Lagrange multipliers. The paper dwells upon automating this particular problem for making holes in a solid material when a measuring tool is used for machining.

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Correspondence to A. S. Smagin .

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Galkin, M.G., Smagin, A.S. (2019). Computer-Aided Algorithm for Nonlinear Optimization of Pre-machining Using Measuring Instrument. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 4th International Conference on Industrial Engineering. ICIE 2018. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-95630-5_212

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  • DOI: https://doi.org/10.1007/978-3-319-95630-5_212

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95629-9

  • Online ISBN: 978-3-319-95630-5

  • eBook Packages: EngineeringEngineering (R0)

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