Impact of energy efficiency on computer numerically controlled machining

Anderberg, Staffan; Kara, Sami; Beňo, Tomáš

doi:10.1243/09544054jem1712

Cited by 83 publications

(33 citation statements)

References 11 publications

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“…For example, Chandler investigated modern manufacturing methods and found that they are spectacularly inefficient in their use of energy and materials [48]. Anderberg et al showed that the productivity and cost efficiency improvements can be achieved beyond the energy savings in a computer numerically controlled machining environment [49]. Rexroth has improved energy efficiency of servo drive from the optimization of mechanical systems [50].…”

Section: Green Manufacturing Processesmentioning

confidence: 99%

Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability

2011

Sustainability

123

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Abstract:A system paradigm is an abstract representation of system; it includes system architecture used to determine the types and numbers of components and their relations in the system. The design of system paradigm relies on customers' requirements and the characteristics of the manufacturing environment. Many system paradigms and design guidelines have been proposed for a variety of customers' needs including functions, cost, quality, personalization, and lead time of products. However, the consideration of sustainability becomes essential to today's manufacturing systems; a new challenge is how to evolve existing paradigms to accommodate the requirements of sustainability. In contrast to ample research activities on system paradigms in past decades, recent studies on system paradigms have been restricted, partially due to unclear research directions. Limited works can be found on conceiving new manufacturing system paradigms from the perspective of sustainability; most of the related literature concerns the new requirements of sustainability. The objectives of this work are (i) to examine the requirements of manufacturing systems in a wider scope; (ii) to revisit existing paradigms to clarify their limitations and bottlenecks; and eventually (iii) to identify some research directions, which will lead to a solution of sustainable manufacturing. To achieve these objectives, firstly, a brief description of today's manufacturing environment is provided. Secondly, the requirements of sustainability are discussed, and the relevant researches on system sustainability are surveyed. Thirdly, the reconfigurable system paradigm is focused, and the gaps between a reconfigurable manufacturing system and a sustainable manufacturing system are discussed. Finally, the future endeavors towards to the next-generation manufacturing system paradigms are discussed. OPEN ACCESSSustainability 2011, 3 1324

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Section: Green Manufacturing Processesmentioning

confidence: 99%

Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability

2011

Sustainability

123

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“…Anderberg et al [3] summarized in their research that the development of manufacturing methodologies have resulted in a steady growth of energy consumption in the manufacturing sector. This has resulted in a major concern for the manufacturing industry due to the energy and the associated environmental impact reduction required, in particular carbon emission, as a result of international agreements such as the Kyoto Agreement [3].…”

Section: Manufacturing Energy and Implicationsmentioning

confidence: 99%

“…According to [3], manufacturing processes are generally poorly documented in terms of their energy and ecoefficiency. Often, the fixed energy consumption due to unloaded motors, coolant pumps, controllers, fans, and other peripheral equipments are not taken into account when discussing energy efficiency.…”

Section: Manufacturing Energy and Implicationsmentioning

confidence: 99%

“…Historically the optimization of machining operations has been limited to objective functions related to cost, productivity, and quality of products, which involve the optimum selection of machining conditions, e.g., cutting speed, feed, depth of cut [3,5,14], cost and throughput time. For optimizing those parameters there exist several methods such as utilization of Genetic Algorithms (GAs) in optimization [5,11], fuzzy logic [14] or on-line optimization based on measurements [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impact of Energy Measurements in Machining Operations

Lanz

Mani

Leong

et al. 2010

Volume 3: 30th Computers and Information in Engineering Conference, Parts a and B

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Over the past years, institutions in general are increasingly interested and involved in sustainability and social responsibility. In addition, social and political pressures have led to the creation of new regulations and policies that support new business opportunities around global sustainability. Considering sustainable manufacturing, a number of indicators have been proposed and currently being researched.The aim of this paper is to explore and discuss the impact of energy measurements as an indicator for sustainable manufacturing. The main question to be asked is, can energy measurement be used for optimization the machining level process. Based on energy monitoring during two Computer Numerical Control (CNC) machining case studies, the significance of energy cost based on different CNC machining strategies and parameter settings is examined and discussed.The preliminary results from the energy measurements on the case studies indicate that potential cost savings in energy will be minimal in CNC operations. Based on the case studies, the potential energy savings in monetary value do not necessarily justify a company's investment in implementing real time energy tracking technologies; however the results were limited in scope with regards measuring energy as an indicator for evaluating other performance outcomes.

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“…Improved industrial energy efficiency is a critical cornerstone in climate change mitigation [3]. Therefore, the manufacturing industry must take responsibility and strive to adopt more energy-efficient and sustainable production techniques [4]. If energy data and information can be more effectively used and analyzed in manufacturing, it will provide considerable insights into energy-saving opportunities [5].…”

Section: Introductionmentioning

confidence: 99%

Energy Demand Modeling Methodology of Key State Transitions of Turning Processes

et al. 2017

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Abstract:Energy demand modeling of machining processes is the foundation of energy optimization. Energy demand of machining state transition is integral to the energy requirements of the machining process. However, research focus on energy modeling of state transition is scarce. To fill this gap, an energy demand modeling methodology of key state transitions of the turning process is proposed. The establishment of an energy demand model of state transition could improve the accuracy of the energy model of the machining process, which also provides an accurate model and reliable data for energy optimization of the machining process. Finally, case studies were conducted on a CK6153i CNC lathe, the results demonstrating that predictive accuracy with the proposed method is generally above 90% for the state transition cases.

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Impact of energy efficiency on computer numerically controlled machining

Cited by 83 publications

References 11 publications

Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability

Revisiting System Paradigms from the Viewpoint of Manufacturing Sustainability

Impact of Energy Measurements in Machining Operations

Energy Demand Modeling Methodology of Key State Transitions of Turning Processes

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