Glocalized Solutions for Sustainability in Manufacturing 2011
DOI: 10.1007/978-3-642-19692-8_48
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Energy Efficiency Measures for the Design and Operation of Machine Tools: An Axiomatic Approach

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Cited by 51 publications
(24 citation statements)
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“…The main reason why this challenge is hard to solve is due to the difficulty in accessing energy data when operating if nothing has been done during the design of the corresponding resource to facilitate this access in the first place, which is often the case in current industrial assets (Zein et al 2011). As a result, researchers must either develop complex reverse engineering techniques and models to estimate energy profiles, or use external energy sensors.…”
Section: 3mentioning
confidence: 99%
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“…The main reason why this challenge is hard to solve is due to the difficulty in accessing energy data when operating if nothing has been done during the design of the corresponding resource to facilitate this access in the first place, which is often the case in current industrial assets (Zein et al 2011). As a result, researchers must either develop complex reverse engineering techniques and models to estimate energy profiles, or use external energy sensors.…”
Section: 3mentioning
confidence: 99%
“…Typically, in the near future, each production resource should be accompanied with an integrated module enabling the easy management of its energy profile (including monitoring of energy consumption/production, energy-state management, energy-losses or energy-savings management, easy switch off/on, etc.). Axiomatic or feature-based design may be useful in this context (Zein et al 2011;Hu et al 2014), as well as function block-oriented approaches (Peng, Xu, and Wang 2014).…”
Section: Product and Resources Life Cycle Point Of Viewmentioning
confidence: 99%
“…A higher material removal rate decreases specific processing energy for the same volume of material removed [5,25]. This results from the decreasing processing time, which dominates over the increasing processing power demand.…”
Section: Grinding Energy -Macroscopic Perspectivementioning
confidence: 99%
“…Такая классификация учитывает результаты обзорных исследований методов управле-ния энергоэффективностью Duflou [4] (Duflou et al, 2012), Vijayaraghavan [5], Yoon [6], Zein [7] и др.…”
Section: источник: составлено авторамиunclassified