2020
DOI: 10.1016/j.ijmecsci.2020.105628
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Energy consumption considering tool wear and optimization of cutting parameters in micro milling process

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Cited by 73 publications
(32 citation statements)
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“…Green or sustainable micro-milling is going to probably spread more and more due to the increasing attention to the environment, although it is often a difficult-to-apply or costly technology [184,296]. Furthermore, the energy-consumption minimisation and the refusal of use of application of cutting fluids (dry machining) often conflict with operation time minimisation or efficiently.…”
Section: Future Trends and Outlookmentioning
confidence: 99%
“…Green or sustainable micro-milling is going to probably spread more and more due to the increasing attention to the environment, although it is often a difficult-to-apply or costly technology [184,296]. Furthermore, the energy-consumption minimisation and the refusal of use of application of cutting fluids (dry machining) often conflict with operation time minimisation or efficiently.…”
Section: Future Trends and Outlookmentioning
confidence: 99%
“…Yet, an understanding of the determinants of energy consumption and its modeling in emerging economies is important. A detailed knowledge about energy consumption is becoming increasingly relevant, with the aim of saving costs, and reducing greenhouse gas emissions, because energy reduction is an environmental and economic challenge [12]. Between, energy consumption and economic growth have been found to be very complex due to prevailing factors, because energy is a key component of economic and social progress [13].…”
Section: Co2 and Greenhouse Gas Emissionmentioning
confidence: 99%
“…As in conventional-size milling, the cutting speed, the feed rate, and the depth of cut are the most meaningful process parameters. The research of the best combinations of these parameters is crucial to guarantee high precision, flexibility, excellent surface finishing, tight geometrical and dimensional tolerances with a low material scrap in the micrometric magnitude scale [4,5]. The selection of the process parameters must also consider the tool deflection effect, defined also as tool run-out effect [6].…”
Section: Introductionmentioning
confidence: 99%