A modeling method for hybrid energy behaviors in flexible machining systems. (15th June 2015)

• Record Type: Journal Article
• Authors: Li, Yufeng; He, Yan; Wang, Yan; Wang, Yulin; Yan, Ping; Lin, Shenlong
• Is Part Of: Energy. Volume 86(2015)
• Page Start: 164
• Page End: 174
• Publication Date: 2015-06-15
• Subjects: Energy consumption -- Energy behavior -- Flexible machining system -- Petri net; Power resources -- Periodicals; Power (Mechanics) -- Periodicals; Energy consumption -- Periodicals; 333.7905
• DOI: 10.1016/j.energy.2015.03.121
• Languages: English
• ISSNs: 0360-5442

Abstract

Abstract: Increasingly environmental and economic pressures have led to great concerns regarding the energy consumption of machining systems. Understanding energy behaviors of flexible machining systems is a prerequisite for improving energy efficiency of these systems. This paper proposes a modeling method to predict energy behaviors in flexible machining systems. The hybrid energy behaviors not only depend on the technical specification related of machine tools and workpieces, but are significantly affected by individual production scenarios. In the method, hybrid energy behaviors are decomposed into Structure-related energy behaviors, State-related energy behaviors, Process-related energy behaviors and Assignment-related energy behaviors. The modeling method for the hybrid energy behaviors is proposed based on Colored Timed Object-oriented Petri Net (CTOPN). The former two types of energy behaviors are modeled by constructing the structure of CTOPN, whist the latter two types of behaviors are simulated by applying colored tokens and associated attributes. Machining on two workpieces in the experimental workshop were undertaken to verify the proposed modeling method. The results showed that the method can provide multi-perspective transparency on energy consumption related to machine tools, workpieces as well as production management, and is particularly suitable for flexible manufacturing system when frequent changes in machining systems are often encountered. Highlights: Energy behaviors in flexible machining systems are modeled in this paper. Hybrid characteristics of energy behaviors are examined from multiple viewpoints. Flexible modeling method CTOPN is used to predict the hybrid energy behaviors. This work offers a multi-perspective transparency on energy consumption.