2018
DOI: 10.1016/j.measurement.2018.02.018
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Measurement and optimization of performance characteristics in turning of Mg alloy under dry and MQL conditions

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Cited by 103 publications
(42 citation statements)
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“…Sharma et al [48] found that alumina/graphene hybrid nanoparticles lowered tool wear and cutting temperature with increase in concentration of nanoparticles in turning AISI 304 steel. Viswanathan et al [54] detected in their analysis that MQL yielded low tool wear, surface roughness, cutting forces and cutting temperature in turning magnesium alloys when compared to dry machining conditions. Mahboob Ali et al [24] examined the effects of aluminium oxide nanolubricant as cutting fluid in turning of titanium alloys.…”
Section: Introductionmentioning
confidence: 99%
“…Sharma et al [48] found that alumina/graphene hybrid nanoparticles lowered tool wear and cutting temperature with increase in concentration of nanoparticles in turning AISI 304 steel. Viswanathan et al [54] detected in their analysis that MQL yielded low tool wear, surface roughness, cutting forces and cutting temperature in turning magnesium alloys when compared to dry machining conditions. Mahboob Ali et al [24] examined the effects of aluminium oxide nanolubricant as cutting fluid in turning of titanium alloys.…”
Section: Introductionmentioning
confidence: 99%
“…Though the application of MQL requires a lower cutting force than dry cutting, this was not the case in every trial. Other researchers also reported similar results [38,62]. Viswanathan et al [38] conducted turning experiments on AZ91D Mg alloy in dry and MQL condition and suggested dry cutting condition over MQL to achieve minimum cutting force.…”
Section: Effect Of Control Factors On Cutting Force (F)mentioning
confidence: 60%
“…Similar studies were conducted by other researchers who found that cutting feed had the greatest influence on the surface characteristics of Mg-based materials [33][34][35][36]. In addition, optimisations were performed to minimise the cutting force and the energy consumption required during the machining process [37,38].…”
Section: Introductionmentioning
confidence: 76%
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“…Optimizsayon analizleri sonucunda kesme parametreleri arasında en önemli faktörün ilerleme daha sonra sırasıyla kesme derinliği ve kesme hızı olduğunu tespit etmişlerdir. Ayrıca MQL ile işlemenin kuru işlemeye göre daha iyi sonuçlar verdiğini bulmuşlardır [22]. Benzer bir çalışmada Zaman ve Dhar tarafından gerçekleştirilmiştir.…”
Section: Igi̇ri̇şunclassified