scholarly journals Stress resultant plasticity for plate bending in the context of roll forming of sheet metal

2021 ◽  
Author(s):  
E. Kocbay ◽  
Yu. Vetyukov
Keyword(s):  
Sheet Metal ◽  
Roll Forming ◽  
Plate Bending ◽  
Stress Resultant

Study on flexibly-reconfigurable roll forming process for multi-curved surface of sheet metal

2014 ◽  
Vol 15 (6) ◽  
pp. 1069-1074 ◽  
Author(s):  
Jun-Seok Yoon ◽  
So-Eun Son ◽  
Woo-Jin Song ◽  
Jeong Kim ◽  
Beom-Soo Kang
Keyword(s):  
Sheet Metal ◽  
Curved Surface ◽  
Roll Forming ◽  
Forming Process ◽  
Roll Forming Process

scholarly journals Development on a Prediction Model for Experimental Condition of Flexibly Reconfigurable Roll Forming Process

Metals ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. 896
Author(s):  
Ji-Woo Park ◽  
Jeong Kim ◽  
Beom-Soo Kang
Keyword(s):  
Regression Analysis ◽  
Regression Model ◽  
Sheet Metal ◽  
Quadratic Function ◽  
Target Surface ◽  
Total Sample ◽  
Roll Forming ◽  
Radius Of Curvature ◽  
Forming Process ◽  
Mean Square Errors

Flexibly-reconfigurable roll forming (FRRF) is a novel sheet metal forming technology by which sheet metal is shaped into a desired curvature using reconfigurable rollers and gaps. FRRF is conducive to producing multi-curvature surfaces by controlling the longitudinal strain distribution. However, it is difficult to predict the forming results since FRRF technology forms a secondary surface from the primary curvature. This study investigates the use of regression analysis as a basis for a model that can predict the longitudinal curvature of sheet metal. The following variables were considered as input parameters: Maximum compression value, radius of curvature in the transverse direction, and initial blank width. Regression model samples are obtained by performing experiments using FRRF equipment whilst the experimental design was generated by a three-level, three-factor full factorial design. The experimental surfaces are of a convex and of a saddle-type shape, with a total sample size of 54. Through regression analysis it has been shown that the longitudinal curvature can be expressed by means of a quadratic equation. The matching quadratic function was verified with R-squared values and root-mean-square errors, whilst the normality of the sample data was also verified. To apply the model to the actual forming process, the regression model was converted to deduce the compression characteristics for forming the target surface. Throughout the study, the proposed analytical procedure was validated, and a statistical formula for estimating the longitudinal curvature produced by the FRRF apparatus established.

Modeling and Simulation of Continuous Flexible Roll Forming Process

2013 ◽  
Vol 365-366 ◽  
pp. 549-552
Author(s):  
Zhou Sui ◽  
Zhong Yi Cai ◽  
Ming Zhe Li
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Three Dimensional ◽  
Rigid Bodies ◽  
Roll Forming ◽  
Forming Process ◽  
Flexible Roll Forming ◽  
Flexible Roll ◽  
Roll Forming Process

The continuous flexible roll forming process is a novel sheet metal forming technique for effectively manufacture of three-dimensional surface parts. In this study, two types of finite element (FE) models were developed under the ABAQUS/Explicit environment. The difference of the two models is that the rolls are defined as discrete rigid bodies in model No.1 and are deformable in model No.2. An experiment was carried out using the continuous sheet metal forming setup. The comparison of the numerical computation results with the experimental results shows that the model No.2 can be used for the shape prediction of continuous flexible roll forming process well.

A Flexible Roll Forming on-Line Detection Algorithm Based on Machine Vision

2012 ◽  
Vol 457-458 ◽  
pp. 287-292 ◽  
Author(s):  
Xu Peng Li ◽  
Bo Qian ◽  
Qiang Li
Keyword(s):  
Control System ◽  
Machine Vision ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Detection Algorithm ◽  
Roll Forming ◽  
Loop Control ◽  
Flexible Roll Forming ◽  
Flexible Roll

For the flexible roll forming of the control system, this paper introduces a method that machine vision bind to the flexible roll forming control system. The detection method for sheet metal forming is image acquisition, image processing and other means for the extraction of sheet metal forming in some time section contour curve. Compare extraction section contour curve with the moment theory section contour curve in the control system, get the deviation value and feedback to the control system that interpolation arithmetic to realize closed loop control.

An investigation on the friction in a micro sheet metal roll forming processes considering adhesion and ploughing

2020 ◽  
Vol 285 ◽  
pp. 116790
Author(s):  
Zhutian Xu ◽  
Jihui Huang ◽  
Mengyun Mao ◽  
Linfa Peng ◽  
Xinmin Lai
Keyword(s):  
Sheet Metal ◽  
Roll Forming

Development and validation of a numerical model for sheet metal roll forming

2010 ◽  
Vol 3 (S1) ◽  
pp. 151-154 ◽  
Author(s):  
J. Larrañaga ◽  
L. Galdos ◽  
L. Uncilla ◽  
A. Etxaleku
Keyword(s):  
Numerical Model ◽  
Sheet Metal ◽  
Roll Forming ◽  
Development And Validation
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