Development of the Modified Genetic Algorithm for Searching Parameters of Plasma Coatings Surface Grinding Process
DOI:
https://doi.org/10.31649/1997-9266-2021-159-6-151-157Keywords:
surface grinding, plasma coatings, multicriteria optimization, evolutionary search, genetic algorithmAbstract
Grinding surfaces with sprayed plasma coatings implies achieving the specified accuracy and roughness of a finished workpiece, and at the same time is intended to avoid occurring and development of various defects, such as cracks, chipping, grinding burns, peeling the coating off the substrate etc. Optimization of this technological process consists in searching such grinding parameters that provide maximum grinding productivity and minimal loss of the coating material. In order to solve multi-objective optimization problem with large number of limiting conditions, evolutionary parameters search on the set of acceptable regimes of technological process is suggested to be used in this paper. Since presented conditions and optimality criteria require significant computational burden, parallel genetic algorithm is implemented at the initial stages of problem solving. When searching Pareto optimal solutions in different subsets is concentrated in some shared space of feasible solutions, it is suggested to consider general optimization by building an additive function according to the weighted sum criteria method. Depending on the grinding process characteristics and the conditions that ensure quality of surface processing, modified genetic algorithm for the computer-aided design system of plasma coatings grinding process is presented in this paper. Searching for the optimal solution is carried out in the space of system parameters defined by velocity and depth of cut during grinding, features of the sprayed coatings and the grinding wheel, time of processing, temperature, stresses etc. Comparative performance of the modified genetic algorithm with classical genetic algorithm and other evolutionary methods used for grinding process optimization was carried out by set of tests in order to evaluate their convergence rate. This research reveales reducing the time needed to determine optimal solutions without reducing their reliability that confirms an advantage of the modified genetic algorithm for searching optimal technological parameters of plasma coatings grinding process.
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