The application of artificial intelligence (AI) techniques in modeling of machining process
has been investigated by many researchers. Fuzzy logic (FL) as a well-known AI technique …

This paper presents a review on soft computing-based expert systems developed to
establish input-output relationships of various manufacturing processes. To determine these …

The heat produced in metal cutting process has negative influence on the cutting tool and
the machined part in many aspects. This paper deals with measurement of cutting …

This paper explores the impact of various milling strategies, including up-milling, down-
milling, and hybrid approaches, on the surface roughness of AISI P20 mold steel. The study …

This paper explores the impact of various milling strategies, including up-milling,
downmilling, and hybrid approaches, on the surface roughness of AISI P20 mold steel. The …

An optimal selection method of process parameters based on process condition matching is
proposed, for the difficulty of the process parameters selection in the milling of complex …

Surface Roughness Prediction using Empirical Modelling Techniques: - A Review Page 1 108
SAMRIDDHI : A Journal of Physical Sciences, Engineering and Technology, Volume 14, Special …

Global industrial trend is shifting towards next industrial revolution Industry 4.0. It is
becoming increasingly important for modern manufacturing industries to develop a …

This study highlights the utilization of nano-particle fluids as the refrigerants in the
conventional vapour compression based thermal systems due to their super improvement in …

This paper describes an overview of Fuzzy Logic (FL) application for solving machining
problems. The developed fuzzy prediction model is an essential operational guideline for …