Title
A multi-granularity NC program optimization approach for energy efficient machining.
Abstract
A multi-granularity NC program optimization approach for energy efficient machining which includes the granularity of a group of NC programs for a setup and the granularity of a NC program.On the first level of granularity, the execution sequence of the NC programs for the setup of a part is optimized to reduce the energy consumed by the cutting tool change among the NC programs.On the second level of granularity, the execution sequence of the features in the same NC program is optimized to reduce the energy consumed by the cutting tool's traveling among the machining features.Experiments on the practical cases show that the optimization results are promising and the approach has significant potential of applicability in practice. NC programs are widely developed and applied to various machining processes. However, the lack of effective NC program optimization strategy for the machining energy efficiency has been crippling the implementation of sustainability in companies. To address this issue, a multi-granularity NC program optimization approach for energy efficient machining has been developed and presented in this paper. This approach consists of two levels of granularities: the granularity of a group of NC programs for a setup where the features are machined on a single CNC machine with the same fixture and the granularity of a NC program. On the former level of granularity, the execution sequence of the NC programs for the setup of a part is optimized to reduce the energy consumed by the cutting tool change among the NC programs. On the latter level of granularity, the execution sequence of the features in the same NC program is optimized to reduce the energy consumed by the cutting tool's traveling among the machining features. Experiments on the practical cases show that the optimization results from this approach are promising and the approach has significant potential of applicability in practice.
Year
DOI
Venue
2018
10.1016/j.advengsoft.2017.08.014
Advances in Engineering Software
Keywords
Field
DocType
Energy efficient machining, Multi-granularity optimization, NC program, Sustainable manufacturing
Program optimization,Mathematical optimization,Fixture,Numerical control,Efficient energy use,Computer science,Manufacturing engineering,Machining,Granularity,Computer engineering,Sustainable manufacturing,Cutting tool
Journal
Volume
ISSN
Citations 
115
0965-9978
1
PageRank 
References 
Authors
0.36
31
3
Name
Order
Citations
PageRank
X. X. Li1160.92
W. D. Li21125.59
Fazhi He354041.02