Details

Autor(en) / Beteiligte

• Wang, Yulin
• He, Yan
• Li, Yufeng
• Yan, Ping
• Feng, Libin

Titel

An analysis framework for characterization of electrical power data in machining

Ist Teil von

• International journal of precision engineering and manufacturing, 2015-12, Vol.16 (13), p.2717-2723

Ort / Verlag

Seoul: Korean Society for Precision Engineering

Erscheinungsjahr

2015

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Electrical power data of machining has become more and more vital due to the increasing concerns on the energy efficiency. As a kind of easily available real-time signal, electrical power data in machining involves diverse characteristics related to technical specification and operational production of machine tools and workpieces. To efficiently exploit the various characteristics involved in electrical power data, this paper proposes a framework to analyze characteristics of electrical power data in machining. Firstly, the sample experiment for turning the round stock on a lathe is carried out to investigate the characteristics implied in the real-time electrical power data. Based on it, a framework is derived to analyze characteristics from three aspects, energy-specific characteristic of machining, state-specific characteristic of machine tools and operation-specific characteristic of workpieces. The case with three scenarios is presented to demonstrate the potential applications of the framework, which is effectively utilized in analyzing energy consumption of machining, monitoring states of machine tools and automatically identifying the types of machining workpieces.