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Minimising the machining energy consumption of a machine tool by sequencing the features of a part

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journal contribution
posted on 2017-03-06, 12:03 authored by Luoke Hu, Chen Peng, Steve Evans, Tao Peng, Ying Liu, Renzhong Tang, Ashutosh Tiwari
Increasing energy price and emission reduction requirements are new challenges faced by modern manufacturers. A considerable amount of their energy consumption is attributed to the machining energy consumption of machine tools (MTE), including cutting and non-cutting energy consumption (CE and NCE). The value of MTE is affected by the processing sequence of the features within a specific part because both the cutting and non-cutting plans vary based on different feature sequences. This article aims to understand and characterise the MTE while machining a part. A CE model is developed to bridge the knowledge gap, and two sub-models for specific energy consumption and actual cutting volume are developed. Then, a single objective optimisation problem, minimising the MTE, is introduced. Two optimisation approaches, Depth-First Search (DFS) and Genetic Algorithm (GA), are employed to generate the optimal processing sequence. A case study is conducted, where five parts with 11–15 features are processed on a machining centre. By comparing the experiment results of the two algorithms, GA is recommended for the MTE model. The accuracy of our model achieved 96.25%. 14.13% and 14.00% MTE can be saved using DFS and GA, respectively. Moreover, the case study demonstrated a 20.69% machining time reduction.

Funding

The authors would like to thank the support from the National Natural Science Foundation of China (No. U1501248), the China Scholarship Council (No. 201406320033), the EPSRC Centre for Innovative Manufacturing in Intelligent Automation (No. EP/ IO33467/1) and the EPSRC EXHUME Project (Efficient X-sector use of Heterogeneous Materials in Manufacturing) (No. EP/K026348/1).

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Energy

Volume

121

Pages

292 - 305

Citation

HU, L. ... et al, 2017. Minimising the machining energy consumption of a machine tool by sequencing the features of a part. Energy, 121, pp. 292 - 305.

Publisher

Elsevier / © The Authors

Version

  • VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: http://creativecommons.org/licenses/ by/4.0/

Publication date

2017

Notes

This is an Open Access article published by Elsevier and distributed under the terms of the Creative Commons Attribution Licence, CC BY 4.0, https://creativecommons.org/licenses/by/4.0/

ISSN

0360-5442

Language

  • en