Toward cyber-physical systems for monitoring and analyzing energy consumption of machine tools

ABSTRACT

This paper presents a digital twin and cyber-physical systems (CPS) environment for monitoring and analyzing the energy consumption of machine tools. Machine tools, which account for a large portion of the manufacturing industry, should be developed in response to environmental issues through carbon neutrality and digital transformation for the Fourth Industrial Revolution. The digital twin, which is at the core of CPS, must support the visualization and analysis of energy consumption issues from various perspectives, and at the same time, support multi-faceted analyses. In this paper, a digital twin that supports the monitoring and analysis of the energy consumption of machine tools and an established CPS environment are proposed. The digital twin consists of a static model containing structural information, a dynamic model expressing the behavior of the object, a visualization model containing a three-dimensional model, and a configuration model linking those three together. In addition, a CPS environment that supports this is implemented through a commercial internet-of-things platform. Lastly, the practicality of the proposed model and system are verified through case studies and a comparative analysis. This research is expected to prompt innovation in the development of cutting-edge machine tools that are more intelligent and closer to carbon neutrality.

KEYWORDS:

• Machine tool
• cyber-physical system
• digital twin
• energy consumption data
• monitoring and analysis

Nomenclature

n	=	Specific energy consumption unit (i.e. coolant, tool)
c	=	Condition value for target energy consumption unit (i.e. on/off)
tnc	=	Entire time duration of specific energy consumption unit n with condition c
Pnc	=	Consumed power value of specific energy consumption unit n with condition c
SnT	=	Status of specific energy consumption unit n with its time duration T
Tn	=	Entire time duration of specific energy consumption unit n
MRR	=	Material removal rate

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This study was supported by the Research Program funded by the SeoulTech (Seoul National University of Science and Technology).