2015
DOI: 10.2174/1874155x01509010761
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Modeling and Simulation of Nanofluid Minimum Quantity Lubrication Surface Grinding Thermal Stress

Abstract: Abstract:The model of surface grinding with a nanoparticle jet flow of MQL was established. The surface grinding thermal stress of three workpiece materials, namely, 45 Steel, 2Cr13, and nano-ZrO 2 dental ceramic, were numerically simulated. Results show that dry grinding generates larger tensile stress, whereas MQL grinding generates larger compressive stress. The finished surface of workpiece produces large tensile stress in grinding direction. With the increase of cutting depth, the time-related variation o… Show more

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Cited by 3 publications
(2 citation statements)
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“…The corona-type charge electrostatic atomization device is mainly used in existing applications. Currently, improvements made to the EMQL device are mainly focused on enhancing the structure of the charge nozzle [93,[113][114][115][116][117][118][119][120][121]. As shown in figures 5(i)-(v), the corona charging system is equipped with a corona discharge electrode at the nozzle, and when the electrode voltage exceeds a certain threshold, a corona discharge is generated around it [122,123].…”
Section: Equipment and Principlesmentioning
confidence: 99%
“…The corona-type charge electrostatic atomization device is mainly used in existing applications. Currently, improvements made to the EMQL device are mainly focused on enhancing the structure of the charge nozzle [93,[113][114][115][116][117][118][119][120][121]. As shown in figures 5(i)-(v), the corona charging system is equipped with a corona discharge electrode at the nozzle, and when the electrode voltage exceeds a certain threshold, a corona discharge is generated around it [122,123].…”
Section: Equipment and Principlesmentioning
confidence: 99%
“…This method utilizes no lubrication to machine parts [10]. However, dry machining can negatively affect machining characteristics and material properties such as precision, and material failure becomes a concern for the operator when machining dry [11].…”
Section: Introductionmentioning
confidence: 99%