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[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 …
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
Closed-loop control of product properties is becoming increasingly important in forming
technology research and enables users to counteract unavoidable uncertainties in semi …
technology research and enables users to counteract unavoidable uncertainties in semi …
Single and ensemble classifiers for defect prediction in sheet metal forming under variability
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 …
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
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 …
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
The springback phenomenon has a significant role in precision sheet metal bending.
Traditionally, the designers obtain the values for springback for different materials and …
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.
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 …
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 …
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
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 …
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
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 …
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
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 …
different parameters, namely laser beam absorptivity, latent heat of vaporization, laser power …