Purpose: This paper proposes a methodology for analysis and modeling of machining conditions by optimal determination of the cutting parameters in multi-pass NC machining operations. Design/methodology/approach: This paper proposes optimal determination of the cutting parameters by using a deterministic method (DM) and a genetic algorithm (GA). In the research, it is created the complex mathematical model for design of the cutting condition for machining process. In next phase, it is created a numerical algorithm for optimization and its developed software called OPTIMAD (Optimization of Milling and Drilling), by using DM. Also, it is created software, caled GAMO (Genetic Algorithm for Machining Operation), as a GA program modul based of the elementary pseudo-code for GA, with using the MatLAB program language and C++ developed rutines. Findings: Modeling of optimal cutting parameters, as a part of process planning, enables generating of manufacturing data and knowledge representation in machining process plan. Verification of optimized cutting parameters in real machining condition has done confirmation for design of cutting parameters by virtual modelling, using optimization methodologies OPTIMAD and GAMO. Research limitations/implications: The optimization approach is proposed and its uses optimization of mathematical model using a classic and heuristic methods. In this research, GA based optimization method and deterministic optimization method are developed and there implementations into real manufacturing process are analyzed. Practical implications: Use of proposed aproach resulted in improved productivity and efficiency of machining process where the cutting conditions are designed by OPTIMAD and GAMO softwares. In the future, this results will be integrated in computer system for process planning. Originality/value: The paper describes a method for eliminating the need for using the extensive user intervention in CAM processes, during determination of cutting parameters. Keywords: Analysis and modelling; Technological design; CAMS; Optimisation; NC machining process.
|Titolo:||Intelligent approach for optimal modeling of manufacturing systems|
|Data di pubblicazione:||2006|
|Appare nelle tipologie:||1.1 Articolo in rivista|