Energy efficiency evaluation for machining systems through virtual part

Junbo Tuo, Fei Liu, Peiji Liu, Hua Zhang and Wei Cai

Energy, 2018, vol. 159, issue C, 172-183

Abstract: Energy prices, environmental concerns, carbon dioxide emissions, and economic matters are driving factors for research on reducing machining system energy consumption. Energy efficiency evaluation for machining systems is an effective management strategy for reducing the energy consumption and improving the energy efficiency of machining systems. This paper proposes a methodology called virtual part method to evaluate the energy efficiency of machining systems, and the proposed method overcomes the deficiencies or limitations of major existing methods (such as the entitative part method) through equivalence and virtualization of all possible machining system parts that may be manufactured in future. Based on an analysis of the energy compositions and characteristics of the proposed virtual part, an energy efficiency evaluation for machining systems through virtual part is conducted in three steps: 1) selection of evaluation indexes; 2) corresponding data collection for calculating indexes; and 3) development of energy efficiency evaluation system. Its application in a machine tool suggests that the proposed method is more accurate than the existing ones and contributes to energy-saving activities including the development of energy efficiency standards, design of energy-efficient machining systems, and reform of old machining systems.

Keywords: Energy efficiency; Evaluation; Machining systems; Manufacturing industry (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:159:y:2018:i:c:p:172-183

DOI: 10.1016/j.energy.2018.06.096

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