Dynamic optimization of multipass milling operations via geometric programming

Dynamic optimization of multipass milling operations via geometric programming

This paper outlines the development of an optimization strategy to determine the optimum cutting parameters for multipass milling operations like plain milling and face milling. The developed strategy is based on the “maximum production rate” criterion and incorporates eight technological constraint...

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Bibliographic Details
Published in:International journal of machine tools & manufacture Vol. 39; no. 2; pp. 297 - 320
Main Authors: Sönmez, A.İhsan, Baykasoǧlu, Adil, Dereli, Türkay, Fılız, İ.Hüseyin
Format: Journal Article
Language:English
Published: Oxford Elsevier Ltd 01-02-1999
Elsevier
Subjects:
Applied sciences
Computational geometry
constrained optimization
Constraint theory
Cutting
Dynamic programming
Exact sciences and technology
geometric programming
Mechanical engineering. Machine design
milling
multipass operations
Nonlinear programming
Optimization
dynamic programming
geometric programming
multipass operations
milling
constrained optimization
Non linear programming
Dynamic programming
Process planning
Milling
Machining
Constrained optimization
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Summary:This paper outlines the development of an optimization strategy to determine the optimum cutting parameters for multipass milling operations like plain milling and face milling. The developed strategy is based on the “maximum production rate” criterion and incorporates eight technological constraints. The optimum number of passes is determined via dynamic programming, and the optimal values of the cutting conditions are found based on the objective function developed for the typified criterion by using a non-linear programming technique called “geometric programming”. This paper also underlies the importance of using optimization strategies rather than handbook recommendations as well as pointing out the superiority of the multipass over the single-pass optimization approach.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0890-6955
1879-2170
DOI:10.1016/S0890-6955(98)00027-3