Optimization of CNC machine processing parameters for low carbon manufacturing

This paper investigates the process parameter optimization problem of a CNC machine for low carbon manufacturing. In particular, an optimization model, which considers the constraints of spindle speed, force rate, cutting force, power of cutting machine and quality of work piece, is developed with the objectives of minimizing both carbon emissions and processing time. The fast non-dominating Genetic Algorithm (GA) is then used to derive the optimal solution. Finally, the validity of this model is demonstrated through a case study.

[1]  Zhitong Chen.  Mathematic Model on Cutting Parameter Optimization for Unit Cutting Process , 2009 .

[2]  Li Shi-wen.  Cutting parameters optimization in turning based on genetic algorithm , 2006 .

[3]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[4]  Zhao Maoyu.  Auto Panel Forming Process Parameters Optimization of Multi-objective Quality , 2009 .

[5]  David W. Coit,et al.  Multi-objective optimization using genetic algorithms: A tutorial , 2006, Reliab. Eng. Syst. Saf..

[6]  Feng Shi.  FUZZY OPTIMIZATION OF COLD EXTRUSION MOLD BASED ON GENETIC ALGORITHM AND NEURAL NETWORK , 2002 .

[7]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[8]  F. Klocke,et al.  Sustainabilty in Manufacturing – Energy Consumption of Cutting Processes , 2011 .

[9]  Voratas Kachitvichyanukul,et al.  A two-stage genetic algorithm for multi-objective job shop scheduling problems , 2011, J. Intell. Manuf..

[10]  R. Saravanan,et al.  Machining Parameters Optimisation for Turning Cylindrical Stock into a Continuous Finished Profile Using Genetic Algorithm (GA) and Simulated Annealing (SA) , 2003 .

[11]  Guo Yinbiao.  Optimization approach of cutting parameters for minimizing production cost in CNC turnings , 2011 .

[12]  Qian Yi,et al.  Quantitative analysis of carbon emissions of CNC-based machining systems , 2013, 2013 10th IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC).

[13]  Paul Mativenga,et al.  Sustainable machining: selection of optimum turning conditions based on minimum energy considerations , 2010 .

[14]  Yasuhiro Tsujimura,et al.  A tutorial survey of job-shop scheduling problems using genetic algorithms, part II: hybrid genetic search strategies , 1999 .

[15]  Yan He,et al.  An on-line approach for energy efficiency monitoring of machine tools , 2012 .

[16]  Liao Wen-he.  INTERNET-BASED MACHINING PARAMETER OPTIMIZATION AND MANAGEMENT SYSTEM FOR HIGH-SPEED MACHINING , 2005 .

[17]  Makoto Fujishima,et al.  A study on energy efficiency improvement for machine tools , 2011 .