Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force

Comparative Analysis of Machine Learning Methods for Predicting Robotized Incremental Metal Sheet Forming Force

This paper proposes a method for extracting information from the parameters of a single point incremental forming (SPIF) process. The measurement of the forming force using this technology helps to avoid failures, identify optimal processes, and to implement routine control. Since forming forces are...

Full description

Bibliographic Details
Main Authors: Vytautas Ostasevicius, Ieva Paleviciute, Agne Paulauskaite-Taraseviciene, Vytautas Jurenas, Darius Eidukynas, Laura Kizauskiene
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
incremental sheet forming
failure prevention
friction force
robotized manufacturing
prediction model
Online Access:https://www.mdpi.com/1424-8220/22/1/18

Similar Items

Similar Items