Burnishing, the plastic deformation of workpiece surface due to sliding contact with a tool called burnisher, is finishing operation widely used in various industries. In this work, impacts initial roughness Ra being burnished, nature friction zone, and clamping force on stability energy efficiency burnishing have been investigated. Experiments conducted without lubricant, represented by low-vi...

The use of mineral-based cutting fluids in machining has the drawback affecting environment and industries are under pressures to reduce its favor cleaner productions. In this regard, vegetal-based can be a superior alternative, provided they improve technical outcomes. milling process, dry is commonly performed, however, application using minimum quantity lubricant (MQL) method proven advantag...

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...

Cutting fluids have a known negative impact on productivity, human health, and the environment in manufacturing sector. A suitable method for reducing effect of cutting health is minimum quantity lubrication (MQL). In this experiment, AISI 1039 steel was machined using vegetable oil lubricant MQL. chemical used to extract from palm kernel seeds. Then, established techniques, physicochemical lub...

An investigation is made into the effects of liquid carbon dioxide (LCO2) cooling, minimum-quantity lubrication (MQL) and cutting speed in drilling. Experimental measurements torque, thrust force temperature are over a wide range process operating conditions. The resulting empirical models used to quantify individual contributions controlled parameters on drilling performance, facilitate temper...

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...

The aim of this research work is focused on optimization of process parameters under Minimum Quantity Lubrication (MQL) using nano fluid in turning of AISI 4340. A study of effect of process parameters in turning of AISI 4340 under MQL condition with nano fluid (Multiwalled Carbon Nano Tube) on the cutting force generated and machined surface roughness is carried out. In the experiment conducte...