Optimization of workpiece location and tool path movement on CNC machining center using Genetic algorithm
Sarhan, S., Afifi, A., Wanies, S. (2019). Optimization of workpiece location and tool path movement on CNC machining center using Genetic algorithm. EKB Journal Management System, 39(1), 94-103. doi: 10.21608/erjsh.2019.406928
S. E. Sarhan; A. A. Afifi; S. A. Wanies. "Optimization of workpiece location and tool path movement on CNC machining center using Genetic algorithm". EKB Journal Management System, 39, 1, 2019, 94-103. doi: 10.21608/erjsh.2019.406928
Sarhan, S., Afifi, A., Wanies, S. (2019). 'Optimization of workpiece location and tool path movement on CNC machining center using Genetic algorithm', EKB Journal Management System, 39(1), pp. 94-103. doi: 10.21608/erjsh.2019.406928
Sarhan, S., Afifi, A., Wanies, S. Optimization of workpiece location and tool path movement on CNC machining center using Genetic algorithm. EKB Journal Management System, 2019; 39(1): 94-103. doi: 10.21608/erjsh.2019.406928

Optimization of workpiece location and tool path movement on CNC machining center using Genetic algorithm

Engineering Research Journal (Shoubra)
Volume 39, Issue 1, January 2019, Page 94-103  XML PDF (928.34 K)
Document Type: Research articles
DOI: 10.21608/erjsh.2019.406928
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Authors
S. E. Sarhan; A. A. Afifi; S. A. Wanies
Department of design and Mechanical Engineering, German University in Cairo GUC, Egypt
Abstract
Due to the high running cost of CNC machines so the most studies are based on optimization of resident time of CNC by using such an optimization method according to the huge number of approached points in different machining features especially in multi components case. Most research in this area has concentrated on optimization of rapid movements (air time motion) and machining movements of drilling, pocketing, and face milling operations. Minimizing the machining time during chip generation by optimizing the cutting parameters, the tool sequence and the tool pathsto be used during cutting were studied by many researchers. However, the optimization of components location is not presented till now in spite of its effect on tool travel as well as machining cost. In this study, a methodology is developed to find the optimum location of a work-piece on the long table of a CNC milling machine which leads to minimum X, Y and Z axes movement between manufacturing features on different components. The near optimum location of the workpiece is set corresponding to the minimum movement of different axes and number of tool changes of the milling machine. A new methodology is used in this study using Genetic algorithm (GA) and Rank Order techniques to determine the near optimum location of the work-piece. (This save the energy consumption and improve the resident time) significantly.
Keywords
CNC milling machine Workpiece location Optimization GA Rank Order
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