Analysis of Solid Carbide Drilling Performance on AISI 316L Austenite Stainless Steel using MQL (Minimum Quantity Lubrication) using Peck Drilling Approach
نویسندگان
چکیده
منابع مشابه
Biomaterial Studies on AISI 316L Stainless Steel after Magnetoelectropolishing
The polarisation characteristics of the electropolishing process in a magnetic field (MEP – magnetoelectropolishing), in comparison with those obtained under standard/conventional process (EP) conditions, have been obtained. The occurrence of an EP plateau has been observed in view of the optimization of MEP process. Up-to-date stainless steel surface studies always indicated some amount of fre...
متن کاملFormation of Surface Nano/Ultrafine Structure using Deep Rolling Process on the AISI 316L Stainless Steel
Austenitic stainless steels (ASSs) have an excellent corrosion resistance but relatively-low hardness and yield strength [1,2], leading to limited usage in applications that high values of hardness and wear resistance is necessary for material surface. Therefore, surface properties such as hardness must be improved using appropriate techniques. Mechanical surface treatments such as ultrasonic s...
متن کاملMicro abrasion-corrosion of AISI 316L stainless steel
In this study, the synergistic effects of abrasion and corrosion on AISI 316L stainless steel have been investigated using a micro-abrasion test rig. A series of results from abrasioncorrosion tests conducted using the micro-abrasion rig are presented. AISI 316L stainless steel has been studied under both pure abrasion and abrasion-corrosion conditions simulated by either distilled water or 3.5...
متن کاملMinimum 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...
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...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1874/1/012065