Novel algorithmic approach to generate the 'number of passes' and 'depth of cuts' for the optimization routines of multipass machining
Author:
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management
Link
http://www.tandfonline.com/doi/pdf/10.1080/00207540110118389
Reference21 articles.
1. The Optimization of Machining Operations Based on a Combined Criterion, Part 2: Multipass Operations
2. Computer-Aided Constrained Optimization Analyses and Strategies for Multipass Helical Tooth Milling Operations
3. BAYKASOOLU, A. 1995. “Computer aided optimisation of cutting conditions in multicut turning operations”. Turkey: University of Gaziantep. MSc thesis,
4. Single and multiobjective structural optimization in discrete-continuous variables using simulated annealing
5. Optimal sub-division of the depth of cut to achieve minimum production cost in multi-pass turning using a genetic algorithm
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1. Optimising cutting conditions for minimising cutting time in multi-pass milling via weighted superposition attraction-repulsion (WSAR) algorithm;International Journal of Production Research;2020-05-28
2. Prediction of surface roughness in low speed turning of AISI316 austenitic stainless steel;CIRP Journal of Manufacturing Science and Technology;2015-11
3. Selection of optimal cutting conditions for pocket milling using genetic algorithm;The International Journal of Advanced Manufacturing Technology;2012-09-01
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5. Optimization of Multipass Turning Parameters by Genetic Algorithm;Advanced Materials Research;2011-06
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