An investigation on the impact of toolpath strategies and machine tool axes configurations on electrical energy demand in mechanical machining

Manufacturing sustainability and minimal environmental impacts of machining processes could be achieved by embracing energy demand reduction strategies. These may include the use of more efficient machine tool components (such as drives and pumps) and reduction in weights of materials being moved by the feed drive (machine table, vice, and workpiece material). However, it has not been defined in literature that energy saving approaches could be identified by studying the influence of toolpath strategies and machine tool axis configurations on the electrical energy requirements in a milling process. In this work, different toolpath strategies were considered for pocket milling of AISI 1018 steel on two three-axis computer numerical control (CNC) milling machines. It was observed that machining on the y-axis of the conventional CNC milling machine and the x-axis of the high-speed CNC milling machining centre (axes carrying more weights) resulted in higher energy demand when compared with the lighter axis. This study also showed that the electrical energy efficiency of toolpath machining strategy varies from one CNC milling machine to another due to their structural configurations. This work also proposes fundamental measures of selecting the most efficient toolpath strategy for energy consumption management in mechanical machining. This could further raise the integrity of sustainable machining strategies for energy efficiency in the manufacturing industries. The knowledge obtained would aid in improving energy efficiency in mechanical machining and also reduce the environmental impacts.

[1]  Paul Mativenga,et al.  Critical factors in energy demand modelling for CNC milling and impact of toolpath strategy , 2014 .

[2]  C. Park,et al.  Energy consumption reduction technology in manufacturing — A selective review of policies, standards, and research , 2009 .

[3]  Sara McMains,et al.  Machine Specific Energy Consumption Analysis for CNC-Milling Toolpaths , 2015 .

[4]  Paul Mativenga,et al.  Impact of feed axis on electrical energy demand in mechanical machining processes , 2016 .

[5]  Paul Mativenga,et al.  E-smart toolpath machining strategy for process planning , 2016 .

[6]  David Dornfeld,et al.  Machine Tool Design and Operation Strategies for Green Manufacturing , 2010 .

[7]  Tao Wu,et al.  Analysis and estimation of energy consumption for numerical control machining , 2012 .

[8]  Sang C. Park,et al.  Tool-path planning for direction-parallel area milling , 2000, Comput. Aided Des..

[9]  Paul K. Wright,et al.  Green Manufacturing and Sustainable Manufacturing Partnership Title Software-based tool path evaluation for environmental sustainability , 2011 .

[10]  Kai Cheng,et al.  Development of an innovative ERWC approach to sustainable manufacturing with application to design of an energy-resource efficient CNC centreless grinding , 2016 .

[11]  Jagjit Singh Srai,et al.  Special issue on sustainable manufacturing and the key enabling technologies , 2012 .

[12]  Liang Zhao,et al.  Sustainable Design and Analysis of CNC Machine Tools: Sustainable Design Index Based Approach and its Application Perspectives , 2016 .

[13]  Sami Kara,et al.  Impact of energy efficiency on computer numerically controlled machining , 2010 .

[14]  Paul Mativenga,et al.  Energy Demand Reduction in Milling Based on Component and Toolpath Orientations , 2017 .

[15]  C. Vila,et al.  Study of Different Cutting Strategies for Sustainable Machining of Hardened Steels , 2015 .

[16]  Tawfik T. El-Midany,et al.  Toolpath Pattern Comparison: Contour-Parallel with Direction-Parallel , 2006, Geometric Modeling and Imaging--New Trends (GMAI'06).

[17]  Gianni Campatelli,et al.  Workpiece orientation and tooling selection to reduce the environmental impact of milling operations , 2014 .

[18]  David Dornfeld,et al.  Energy Consumption Characterization and Reduction Strategies for Milling Machine Tool Use , 2011 .