Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/92368
Title: Implementation of the nonlinear programming algorithm when optimizing the final turning mode
Authors: Galkin, M. G.
Smagin, A. S.
Issue Date: 2020
Publisher: Institute of Physics Publishing
Citation: Galkin M. G. Implementation of the nonlinear programming algorithm when optimizing the final turning mode / M. G. Galkin, A. S. Smagin. — DOI 10.1088/1757-899X/862/3/032009 // IOP Conference Series: Materials Science and Engineering. — 2020. — Vol. 3. — Iss. 862. — 32009.
Abstract: For computer-aided multi-variant design of machining technologies, it is important to optimize the cutting parameters at the final pass in each technological operation. When carrying out designing procedures, there emerge problems relating to the algorithm of choosing the decision-making method, the objective function, and the regions of feasibility at final machining steps. Linear programming is time-consuming for multi-variant and multi-pass machining, if the algorithm is to be clear. It is known that when simulating the optimal metal-cutting process, the optimization criterion and the system of constraints are non-linear. Therefore, a computational algorithm can be made significantly more efficient if it is a non-linear algorithm based on Lagrange multipliers Such approach to design helps simplify automating the computational algorithm for multi-pass single-tool machining with a precision cutting tool (a reamer) This is the method discussed herein. © 2020 IOP Publishing Ltd. All rights reserved.
URI: http://elar.urfu.ru/handle/10995/92368
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85086269505
PURE ID: 13149520
ISSN: 17578981
DOI: 10.1088/1757-899X/862/3/032009
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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