The Cutting Parameters Optimization Of Maximizing Productivity In Turning Based On Genetic Algorithm

To guarantee the processing quality, reduce processing costs and improve labor productivity, optimizing cutting parameters chosen is of great significance. In such condition, when the machine tools, cutting tools and work pieces conditions is in certain circumstances, we should give full play to the function of machine tools and cutting tools, to achieve the greatest production efficiency. If cutting parameter choices properly, can maximize the production potential, namely cutting parameters optimization. The purpose of this paper is to explore and research into the theory and methods of applying genetic algorithms to optimize Cutting parameters in turning to maximize productivity.The paper first proposes the research origin and the background of this topic, have pointed out this research significance, the application prospect and the work of this article. The article briefly introduced the elementary knowledge of optimization algorithms, carried on the theoretical analysis to the question of optimization to cutting parameters in turning, Determined the objective function of Cutting parameters and its restraint conditions, and introduced a simple tool that has randomsearch capability for solving problems ------ genetic algorithms, explained thegenetic algorithm theory, operation and application, these built the foundation for the behind model calculation. Subsequently, under the certain supposition premise, established the mathematical model of the cutting parameters optimizes, did some exploratory work, carried on the beneficial attempt and the analysis that applied the genetic algorithms to optimize the Cutting parameters in turning, The result indicated the calculation method of this article will be superior, examples of the application and numerical analysis described the validity and the practicability of the genetic algorithm in solving such issues, and of a certain significance in the actual production, a certain degree of social and economic value. Finally, summed up the overall works of the papers, analyzed the problems and shortcomings, and the direction of a vision of the future research work.