Contribution à l’étude de la dégradation de la zone de coupe lors de l’évolution de la contrainte de l’outil sur la matière

Abstract

Manufacturing processes of mechanical parts by removal of material have extensive use in aeronautic and automobile industry. The components obtained using these methods must satisfy geometric properties, metallurgical and quality characteristics. To meet these requirements, several experimental tests based on the selection of cutting conditions are often necessary before manufacturing. The objective of this thesis is to provide the tools to choose the conditions of intelligently cutting from a sufficient number of experiments taking into account the relationship between the cutting parameters (Vc, f and ap) and response variables (cutting forces, the surface condition and wear of the cutting tool) through the response surface methodology (RSM) and the genetic algorithm is analyzed and modeled. The resulting models are types: quadratic, linear, exponential, Gilbert and genetic algorithm. Quadratic models of response surface methodology associated with the multiple response optimization technique is used to find the optimal values of cutting parameters with respect to the minimization of cutting force, roughness and the tool wear.