Energy Efficiency in Machine Tools - A Self-Learning Approach

Orio, Giovanni Di; Candido, Goncclo; Barata, José; Bonefeld, Ralf

doi:10.1109/smc.2013.830

Cited by 5 publications

(4 citation statements)

References 11 publications

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“… Herrmann et al. (2009) Energy efficiency of machine tools: Exploratory Di Orio et al. (2013) Energy efficiency in machine tools Self-learning approach Machine Tool Azarenko (2009) Combination of cutting-edge mass production and ultra-precision technologies.…”

Section: Resultsmentioning

confidence: 99%

“…In conclusion, Herrmann et al (2009) states that the extended analysis of energy consumption of machine tools in the study indicates a need for a comprehensive consideration of energy dynamics of process parameters, components and energy transformation in order to optimize the energy consumed during the machining processes. According to Di Orio et al (2013) there is a growing number of demands to reduce the environmental impact during the manufacturing cycle. The manufacturing industries are encouraged to adopt green technologies to improve the energy efficiency of the manufacturing lines.…”

Section: Discussion Of Findings On Lca Principles For Low Carbon Manufacturingmentioning

confidence: 99%

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Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Daniyan

Mpofu

Ramatsetse

et al. 2021

Heliyon

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The life cycle models are critical in the assessment of the performance of a product from the design phase to its end of life (EoL). With the quest for manufacturing sustainability with respect to energy, process, material, and environment friendliness as well as the clamour for circular economy which emphasizes zero tolerance for waste, there is a need for a critical review of the life cycle of machine tool employed for machining operations and product development. The objective of this study is to evaluate the efficient way of managing the machine tools throughout its lifecycle. Several studies have been conducted in analysing the life cycle of the machine tools and different strategies were employed for its design, manufacture, use, maintenance and recovery at the end of life. The common approach to ensure environmental sustainability was established when comparing the literature studied. From the articles reviewed 60% applied life cycle assessment (LCA) methodology to reduce energy consumption and enhance environmental sustainability, while 40% employed other assessment tools. In this study an integrated life cycle and cyber physical machine tool model is proposed.

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Section: Resultsmentioning

confidence: 99%

Section: Discussion Of Findings On Lca Principles For Low Carbon Manufacturingmentioning

confidence: 99%

Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Daniyan

Mpofu

Ramatsetse

et al. 2021

Heliyon

View full text Add to dashboard Cite

show abstract

“…Various services which represent the mechatronic functions of the equipment were defined in the address space of the OPC UA server, thus the flexibility of the manufacturing cells can be enhanced. OPC UA has also been extensively implemented as the communication protocol in power consumption monitoring and energy efficiency analysis systems [38][39][40]. Design and development of an OPC UA information model need to follow a model-driven approach.…”

Section: Opc Ua Related Researchmentioning

confidence: 99%

A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect

Liu

Vengayil

Lu³

et al. 2019

Journal of Manufacturing Systems

185

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Cyber-Physical Machine Tools (CPMT) represent a new generation of machine tools that are smarter, well connected, widely accessible, more adaptive and more autonomous. Development of CPMT requires standardized information modelling method and communication protocols for machine tools. This paper proposes a CPMT Platform based on OPC UA and MTConnect that enables standardized, interoperable and efficient data communication among machine tools and various types of software applications. First, a development method for OPC UA-based CPMT is proposed based on a generic OPC UA information model for CNC machine tools. Second, to address the issue of interoperability between OPC UA and MTConnect, an MTConnect to OPC UA interface is developed to transform MTConnect information model and data to their OPC UA counterparts. An OPC UA-based CPMT prototype is developed and further integrated with a previously developed MTConnect-based CPMT to establish a CPMT Platform. Third, different applications are developed to demonstrate the advantages of the proposed CPMT Platform, including an OPC UA Client, an advanced AR-assisted wearable Human-Machine Interface and a conceptual framework for CPMT powered cloud manufacturing environment. Experimental results have proven that the proposed CPMT Platform can significantly improve the overall production efficiency and effectiveness in the shop floor.

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“…Energy efficiency, which can be obtained using the input–output method, is normally used as the indicator to evaluate the energy performance. Many efforts have been devoted to estimating 19,29,31,32,38–41 and monitoring 42 the energy efficiency for production systems in the past few years. However, as compared by Bunse et al, 37 there are many ways can be used to define and justify the energy efficiency depending on the research background.…”

Section: Literature Reviewmentioning

confidence: 99%

Developing a new energy performance indicator for the spindle system based on power flow analysis

Shang

Gao

Jiang

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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The evaluation of the energy performance of spindle systems with a proper metric is extremely important for energy-efficient machine tools. However, there is a lack of appropriate index to achieve this evaluation. To close this gap, the additional power requirement, which is defined as the discrepancy between the material removal power and the power gap of the spindle system from air-cutting state to cutting state, was proposed as a new indicator based on a detailed power flow analysis. The additional power requirement universally exists in machining and results from the efficiency and power losses of the system, which makes it a good energy performance indicator candidate. A theoretical model for the additional power requirement of spindle systems was built and verified in a lathe machine, through which two causes of additional power requirement were pointed: less than 100% efficiency throughout the system and efficiency change of the spindle motor under a dynamic load and a variable speed. The first cause has a positive effect on the additional power requirement, whereas the second one generally plays a negative role. Furthermore, the additional power requirement can be negative because of the negative effect, which is different from previous studies. The close relation between the additional power requirement and the energy performance of the spindle is demonstrated by an in-depth analysis. This work is an important building block for energy-efficient machine tools.

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Energy Efficiency in Machine Tools - A Self-Learning Approach

Cited by 5 publications

References 11 publications

Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

Review of life cycle models for enhancing machine tools sustainability: lessons, trends and future directions

A Cyber-Physical Machine Tools Platform using OPC UA and MTConnect

Developing a new energy performance indicator for the spindle system based on power flow analysis

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