Machining activity extraction and energy attributes inheritance method to support intelligent energy estimation of machining process

Shun Jia, Renzhong Tang () and Jingxiang Lv
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Shun Jia: Zhejiang University
Renzhong Tang: Zhejiang University
Jingxiang Lv: Zhejiang University

Journal of Intelligent Manufacturing, 2016, vol. 27, issue 3, No 8, 595-616

Abstract: Abstract An energy-efficient intelligent manufacturing system could significantly save energy compared to traditional intelligent manufacturing systems that do not consider energy issues. Intelligent energy estimation of machining processes is the foundation of the energy-efficient intelligent manufacturing system. This paper proposes a method for machining activity extraction and energy attributes inheritance to support the intelligent energy estimation of machining processes. Fifteen machining activities and their energy attributes are defined according to their operating and energy consumption characteristics. Activities and energy attributes are extracted mainly from NC program supplemented with blank dimensional information. An effective extraction method of activities and energy attributes is the basis for the intelligent energy calculating of machining process. Based on an investigation on the extraction procedure of activities and energy attributes, energy attributes inheritance method is further discussed. Four types of energy attribute inheritance rules are summarized according to the different inheritance characteristics. Based on these four types of inheritance rules, the energy attributes can be transmitted from activity to Therblig as effective inputs of Therblig-based energy model of machining processes. The proposed methodology is finally demonstrated through two machining cases.

Keywords: NC program; Machining activity; Energy attribute; Activity extraction; Energy attribute inheritance; Intelligent energy estimation (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-014-0894-7

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