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Energy consideration in machining operations - towards explanatory models for optimisation results

Energy consideration in machining operations - towards explanatory models for optimisation results

Owodunni, O.O., Zhang, T. and Gao, J. (2013) Energy consideration in machining operations - towards explanatory models for optimisation results. In: 11th Global Conference on Sustainable Manufacturing : Proceedings. Innovative Solutions. Universitätsverlag der TU Berlin, Berlin, Germany, pp. 153-158. ISBN 978-3-7983-2609-5

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Abstract

This paper reports the application of a systematic research methodology for uncovering the reasons behind results obtained when energy is considered in machining optimisation. A direct search optimisation method was used as a numerical experimentation rig to investigate the reasoning behind the results obtained in applying Taguchi methods and Genetic algorithm (GA). Representative data was extracted from validated machining science equations and studied using graphical multivariate data analysis. The results showed that over 80% of reduction in energy consumption could be achieved over the recommendations from machining handbooks. It was shown that energy was non-conflicting with the cost and time, but conflicting with quality factors such as surface roughness and technical factors such as power requirement and cutting force. These characteristics of the solutions can provide an explanative motif required for practitioners to trust and use the
optimisation results.

Item Type: Conference Proceedings
Title of Proceedings: 11th Global Conference on Sustainable Manufacturing : Proceedings. Innovative Solutions
Additional Information: [1] This paper was presented at, and published in the Proceedings of the 11th Global Conference on Sustainable Manufacturing: Innovative Solutions, held 23rd-25th September 2013 in Berlin, Germany. [2] Contents of Proceedings published under CC-BY License, as follows: All contents of this publication are licensed under the Creative-Commons-License agreement CC-BY http://creativecommons.org/licenses/by/3.0/de/
Uncontrolled Keywords: direct search method, energy minimisation, machining optimisation, sustainable machining operation
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TJ Mechanical engineering and machinery
Pre-2014 Departments: School of Engineering
School of Engineering > Centre for Innovative Product Development
Related URLs:
Last Modified: 14 Oct 2016 09:25
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/10495

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