[PDF][PDF] Applications of artificial neural network to sheet metal work-a review

S Kashid, S Kumar - American Journal of intelligent systems, 2012 - Citeseer
Abstract Design of sheet metal components and press tools demands a high level of
knowledge and industrial experience on the part of designers. Recently, various artificial …

Inline closed-loop control of bending angles with machine learning supported springback compensation

DA Molitor, V Arne, C Kubik, G Noemark… - International Journal of …, 2024 - Springer
Closed-loop control of product properties is becoming increasingly important in forming
technology research and enables users to counteract unavoidable uncertainties in semi …

Single and ensemble classifiers for defect prediction in sheet metal forming under variability

MA Dib, NJ Oliveira, AE Marques, MC Oliveira… - Neural Computing and …, 2020 - Springer
This paper presents an approach, based on machine learning techniques, to predict the
occurrence of defects in sheet metal forming processes, exposed to sources of scatter in the …

Springback control in sheet metal bending by laser-assisted bending: Experimental analysis, empirical and neural network modelling

A Gisario, M Barletta, C Conti, S Guarino - Optics and Lasers in …, 2011 - Elsevier
The present investigation deals with the control of springback phenomena in the bending
process of aluminium sheets by hybrid forming process. Metal substrates were pre-bent to …

Prediction of springback in sheet metal components with holes on the bending area, using experiments, finite element and neural networks

V Nasrollahi, B Arezoo - Materials & Design (1980-2015), 2012 - Elsevier
The springback phenomenon has a significant role in precision sheet metal bending.
Traditionally, the designers obtain the values for springback for different materials and …

[PDF][PDF] Prediction of Springback Behavior of Vee Bending Process of AA5052 Aluminum Alloy Sheets Using Machine Learning.

M Asmael, OT Fubara, T Nasir - Jordan Journal of Mechanical & …, 2023 - jjmie.hu.edu.jo
This study explores the effect of Vee bending process parameter on the springback (SB)
behavior of aluminum (AA5052) alloy at sheet thickness of (2 and 3mm) with die-opening …

Sheet metal forming optimization by using surrogate modeling techniques

H Wang, F Ye, L Chen, E Li - Chinese Journal of Mechanical Engineering, 2017 - Springer
Surrogate assisted optimization has been widely applied in sheet metal forming design due
to its efficiency. Therefore, to improve the efficiency of design and reduce the product …

[HTML][HTML] SecFL–Secure Federated Learning Framework for predicting defects in sheet metal forming under variability

MA da Silveira Dib, P Prates, B Ribeiro - Expert Systems with Applications, 2024 - Elsevier
With the ongoing digitization of the manufacturing industry and the ability to bring together
data from specific manufacturing processes, there is enormous potential to use machine …

A strategy for on-machine springback measurement in rotary draw bending using digital image-based laser tracking

T Ha, T Welo, G Ringen, J Wang - The International Journal of Advanced …, 2021 - Springer
Rotary draw bending is a commonly used metal forming technique for profile bending. Due
to the elastic recovery of the material, springback compensation to control the bent product …

Prediction of depth of cut for single-pass laser micro-milling process using semi-analytical, ANN and GP approaches

CK Desai, A Shaikh - The International Journal of Advanced …, 2012 - Springer
The present study is aimed to investigate micro-milling performance of thermoplastics with
different parameters, namely laser beam absorptivity, latent heat of vaporization, laser power …