Impact of energy efficiency on computer numerically controlled machining

• Published in: Proceedings of the Institution of Mechanical Engineers. Part B, Journal of engineering manufacture Vol. 224; no. 4; pp. 531 - 541
• Main Authors: Anderberg, S E, Kara, S, Beno, T
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.04.2010; Sage Publications; SAGE PUBLICATIONS, INC
• Subjects: Applied sciences; Computer simulation; Cost control; Customers; Efficiency; Energy consumption; Energy costs; Energy efficiency; Energy management; Environmental management; Environmental monitoring; Exact sciences and technology; Machining; Mathematical models; Mechanical engineering. Machine design; Mechanical engineers; Numerical controls; Power efficiency; Productivity; Profitability; Stresses; Sustainability; Tool wear; cost efficiency; green manufacturing; energy efficiency; computer numerically controlled (CNC) machining; Productivity; Energy consumption; Computer digital control; Energy cost; Profitability; Machining; Experimental study; Sustainable development; Modeling; Energy savings; Operating conditions; Digital control; Energetic efficiency; Tool wear; Environmental protection
• ISSN: 0954-4054; 2041-2975
• DOI: 10.1243/09544054JEM1712

Abstract Increasing environmental demands from governmental bodies and customers stress the importance of companies improving their environmental performance. The research presented here shows that productivity and cost efficiency improvements can be achieved alongside energy savings in a computer numerically controlled machining environment. This improves the profitability of the companies, but also leads them towards more sustainable and environmentally aware manufacturing; the relationship between machining parameters, machining costs, and energy consumption is evaluated. From this perspective, it is important that production planners etc. understand the methodological possibilities for improvements in cost and energy efficiency. The current research is based on a machining cost model and experiments where energy consumption and tool wear were monitored.