Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal Cutting Fluid Application

Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal Cutting Fluid Application

Hard turning is a precision machining process used in the manufacturing industry for the finishing of hardened alloy steel, which is known for its high hardness and wear resistance. In this work, an experimental investigation was conducted to predict surface roughness and cutting temperature during...

Full description

Saved in:
Bibliographic Details
Main Authors: Sandip Mane, Rajkumar Bhimgonda Patil, Sameer Al-Dahidi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Machines
Subjects:
hard turning
minimal cutting fluid application
response surface methodology
surface roughness
artificial neural network
Online Access:https://www.mdpi.com/2075-1702/13/4/266
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2075-1702/13/4/266

Similar Items