Rapid Assessment of Steel Machinability through Spark Analysis and Data-Mining Techniques

Rapid Assessment of Steel Machinability through Spark Analysis and Data-Mining Techniques

The machinability of steel is a crucial factor in manufacturing, influencing tool life, cutting forces, surface finish, and production costs. Traditional machinability assessments are labor-intensive and costly. This study presents a novel methodology to rapidly determine steel machinability using s...

Full description

Bibliographic Details
Main Authors: Goran Munđar, Miha Kovačič, Miran Brezočnik, Krzysztof Stępień, Uroš Župerl
Format: Article
Language:English
Published: MDPI AG 2024-08-01
Series:Metals
Subjects:
steel machinability
spark testing
data mining
machine vision
convolutional neural networks
Online Access:https://www.mdpi.com/2075-4701/14/8/955

Internet

https://www.mdpi.com/2075-4701/14/8/955

Similar Items