Nanofluid-based Minimum Quantity Lubrication (MQL) Face Milling of Inconel 625
نویسندگان
چکیده
منابع مشابه
Minimum Quantity Lubrication (MQL) in Machining: Benefits and Drawbacks
Micro lubrication or also known as minimum quantity lubrication (MQL) serves as an alternative to flood cooling by reducing the volume of cutting fluid used in the machining process; but not without significant health concerns. Flood cooling is primarily used to cool and lubricate the cutting tool and work piece interface during machining process. The adverse health effects caused by the use of...
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The tool coating and cooling strategy are two key factors when machining difficult-to-cut materials such as titanium alloy. In this paper, diamond coating was deposited on a commercial carbide insert as an attempt to increase the machinability of TC11 alloy during the turning process. An uncoated carbide insert and a commercial Al₂O₃/TiAlN-coated tool were also tested as a comparison. Furthermo...
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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-ZrO2 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 ...
متن کاملPhD DEFENSE ANNOUNCEMENT Tittle: FUNDAMENTAL TOOL WEAR STUDY IN TURNING OF Ti-6Al-4V ALLOY (Ti64) AND NANO-ENHANCED MINIMUM QUANTITY LUBRICATION (MQL) MILLING
Tittle: FUNDAMENTAL TOOL WEAR STUDY IN TURNING OF Ti-6Al-4V ALLOY (Ti64) AND NANO-ENHANCED MINIMUM QUANTITY LUBRICATION (MQL) MILLING Scheduled Date of PhD Defense: 1/9/2015 Scheduled Time of PhD Defense: 3.00PM Scheduled Location of PhD Defense (Building & Room #): 3540 Engineering Building Full name: Trung Kien Nguyen PID: A45082194 Email: [email protected] PhD Degree Major: Mechanical Enginee...
متن کاملTool Wear and Surface Roughness Prediction using an Artificial Neural Network (ANN) in Turning Steel under Minimum Quantity Lubrication (MQL)
Tool wear and surface roughness prediction plays a significant role in machining industry for proper planning and control of machining parameters and optimization of cutting conditions. This paper deals with developing an artificial neural network (ANN) model as a function of cutting parameters in turning steel under minimum quantity lubrication (MQL). A feed-forward backpropagation network wit...
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ژورنال
عنوان ژورنال: International Journal of Automotive and Mechanical Engineering
سال: 2019
ISSN: 2180-1606,2229-8649
DOI: 10.15282/ijame.16.3.2019.04.0516