Abstract One of the main limits productivity during cutting processes is occurrence regenerative chatter. Due to these self-excited vibrations, load capacity machine components, tool as well performance cannot be fully utilized. There are several methods stabilize milling process. use increased process damping, which results from contact tool’s flank face and workpiece. The wear land naturally ...

Titanium alloys are the difficult to cut metals due their low thermal conductivity and chemical affinity with tool material. Since vibration is a replica of wear surface roughness, present study has proposed methodology for estimating roughness based on milling Ti-6Al-4V alloy using cemented carbide mill cutter. Experiments conducted at optimum levels cutting speed, feed per tooth, depth cut, e...

This study focuses on milling under sustainable cutting conditions of ST52 steel, frequently used in the manufacturing industry. steel is a good candidate as workpiece because it inexpensive and readily available. To achieve conditions, zone minimum quantity lubrication technology was during processing. The experiments three speeds (120-180-240 m min-1), feed rates (0.12-0.18-0.24 mm rev-1), co...

Abstract. Higher cutting force and its temperature with faster tool wear are the causes of higher production costs lower machining efficiency. In this paper, help electrical discharge (EDM) laser technology, texture holes implemented on rake face principal flank tool. The force, friction characteristics surface roughness compared micro-textured processing technology system non-textured inner co...

Longitudinal ultrasonic vibration-assisted high-speed dry milling (LUVAHSDM) is adopted to improve the cutting performance and surface quality of Ti-6Al-4V (TC4). Multifaceted comparisons are presented in terms force, temperature, tool wear, 3D roughness, residual stress, utilizing AlCrN, AlCrSiN, AlTiN, AlTiSiN-coated tools. The results show that maximum forces feed longitudinal directions bot...

An imperative requirement of a modern machining system is to detect tool wear while maintain the surface quality product. Vibration signatures emanating during with single point cutting have proven be good indicators for tool’s health. The current research undertaken utilizes vibration turning EN9 and EN24 steel alloy predict life using Artificial Neural Network (ANN). During initial meager exp...