Abstract The demand for miniature components has been growing steadily in recent years. One of the most important technologies to produce such small is micro-milling. Although technology highly researched, there are still many difficulties due size reduction, which makes finite element simulation, as well exploration cutting process challenging. aim research was investigate micro-milling proces...

The high-temperature oxidation of hot-work tool steel AISI H11 was studied. investigated in two conditions, the soft annealed condition, and hardened tempered condition. First, calculations compositions oxide layers formed were carried out using CALPHAD method. samples oxidised a chamber furnace simultaneous thermal analysis instrument, for 100 h temperature range between 400 °C 700 °C. first u...

In the present investigation, various kinds of surface textures were attained on the steel plates. Roughness of the textures was varied using various grinding or polishing methods. The surface textures were characterized in terms of roughness parameters using an optical profilometer. Then experiments were conducted using an inclined pin-on-plate sliding apparatus to identify the role of surface...

Adiabatic shear localization is a catastrophic failure mechanism which can occur in ductile metals under high strain rate loading. This mechanism is driven by a thermal instability process in which rapid temperature rise due to plastic work couples with thermal softening to cause uniform deformation to collapse into narrow bands of intense shear within which material ductility is exhausted. Adi...

In addition to the bulk properties of a workpiece material, characteristics of the tribofilms formed as a result of workpiece material mass transfer to the friction surface play a significant role in friction control. This is especially true in cutting of hardened materials, where it is very difficult to use liquid based lubricants. To better understand wear performance and the formation of ben...

Productivity and quality in the finish turning of hardened steels can be improved by utilizing predicted performance of the cutting tools. This paper combines predictive machining approach with neural network modeling of tool flank wear in order to estimate performance of chamfered and honed Cubic Boron Nitride (CBN) tools for a variety of cutting conditions. Experimental work has been performe...