Response measurement of various functionality states of machines is an inevitable part of
smooth production. An effectively efficient measurement and control system of the machinery …

Sensors are the main equipment of the data-based enterprises for diagnosis of the health of
system. Offering time-or frequency-dependent systemic information provides prognosis with …

This study examined the hard turning of AISI D2 cold work tool steel subjected to deep
cryogenic processing and tempering and investigated the effects on surface roughness and …

For decades, attentions have been paid to metal cutting processes, especially for the critical
components in aerospace, marine, medical industries, etc. Scholars investigated the …

An efficient tool condition monitoring system was designed for keyway milling of 7075-T6
hybrid aluminium alloy composite with resultant machining force and sound acquired while …

In this article, the comprehensive review on the application, and indeed, a comparative
analysis on dry machining of different types of materials (Inconel, steel, aluminum, cast iron …

In this work, the flank wear of the cutting tool is predicted using artificial neural network
based on the responses of cutting force and surface roughness. EN8 steel is chosen as a …

This study presents the impact of molybdenum (Mo) inclusion on microstructure, mechanical,
and machinability behavior of steels manufactured with powder metallurgy (PM) approach …

Homogeneous charge compression ignition (HCCI) engines have potential to provide both
diesel like efficiencies and very low NO x and particulate matter (PM) emissions. There is …

This study derives a uniaxial tensile flow from spherical indentation data using an artificial
neural network (ANN) combined with finite element (FE) analysis. The feasibility of the FE …