scholarly journals BLANK SHAPE OPTIMIZATION ON DEEP DRAWING OF A TWIN ELLIPTICAL CUP USING THE REDUCED BASIS TECHNIQUE METHOD

2015 ◽  
Vol 9 ◽  
pp. 72-77
Author(s):  
Mahdi Golshani ◽  
Ali Jabbari
Keyword(s):  
Shape Optimization ◽  
Deep Drawing ◽  
Reduced Basis ◽  
Blank Shape Optimization ◽  
Blank Shape

Blank shape optimization in the deep drawing process by sun method

2021 ◽  
Author(s):  
Hamidreza Gharehchahi ◽  
Mohammad Javad Kazemzadeh-Parsi ◽  
Ahmad Afsari ◽  
Mehrdad Mohammadi
Keyword(s):  
Shape Optimization ◽  
Deep Drawing ◽  
Drawing Process ◽  
Deep Drawing Process ◽  
Blank Shape Optimization ◽  
Blank Shape

Blank Shape Optimization of Square Cup Deep-Drawing under the Unilateral Constrained Condition

2011 ◽  
Vol 239-242 ◽  
pp. 2365-2369
Author(s):  
Li Guang Tan ◽  
Xiao Ting Xiao ◽  
Li Cheng Huang ◽  
Qiao Yu Chen
Keyword(s):  
Sensitivity Analysis ◽  
Shape Optimization ◽  
Deep Drawing ◽  
Simulation Method ◽  
Analysis Software ◽  
Initial Shape ◽  
Before And After ◽  
Blank Shape Optimization ◽  
Blank Shape

To satisfy the forming need of single-basin with a flange, sensitivity analysis is used to optimize the shape on the basis of the initial shape which gotten by the backward simulation method of analysis software ETA/Dynaform5.5.The optimum blank shape for unilateral constrained square cup deep-drawing is determined, and the optimized results were analyzed and compared before and after. Some measures about blank optimization will be given to such parts.

Blank Shape Optimization in Deep Drawing with Combined Restraint

2013 ◽  
Vol 371 ◽  
pp. 178-182
Author(s):  
Viorel Paunoiu ◽  
Virgil Teodor
Keyword(s):  
Numerical Simulation ◽  
Deep Drawing ◽  
Degree Of Deformation ◽  
Initial Blank ◽  
Mathematical Relation ◽  
Blank Shape Optimization ◽  
Cylindrical Parts ◽  
Blank Shape ◽  
High Degree

One of the methods for increasing the degree of deformation in the deep drawing of the cylindrical parts is the method with the combined restraint. In this process, due to the high degree of deformation, the earing is pronounced and affects the quality of the final part. The paper focuses in optimization the blank shape in this process applying a method which combines a mathematical relation with the results of the numerical simulation. The mathematical relation connects the radii of the initial blank at the different angles with the sizes of the part heights at different angles. The numerical simulation using FEM was used for the heights determination at the main anisotropy directions considering different initial blank dimensions. An experimental work was done for certify the numerical results. The results confirmed that the optimization of the blank shape in deep drawing with the combined restraint is a key for improving the deformation process, for reduction the earing and for minimizing the material consumption.

Blank Optimization in Elliptical-Shape Sheet Metal Forming Using Response Surface Model Coupled with Reduced Basis Technique and Finite Element Analysis

2011 ◽  
Vol 473 ◽  
pp. 683-690 ◽  
Author(s):  
Khalil Khalili ◽  
Parviz Kahhal ◽  
Ehsan Eftekhari Shari ◽  
M. Soheil Khalili
Keyword(s):  
Finite Element ◽  
Sheet Metal Forming ◽  
Deep Drawing ◽  
Metal Forming ◽  
Shape Design ◽  
Drawing Process ◽  
Reduced Basis ◽  
Element Analysis ◽  
Design Variables ◽  
Blank Shape

The present study aims to determine the optimum blank shape design for the deep drawing of Elliptical-shape cups with a uniform trimming allowance at the flange i.e. cups without ears. This earing defect is caused by planar anisotropy in the sheet and the friction between the blank and punch/die. In this research, a new method for optimum blank shape design using finite element analysis has been proposed. Present study describes the approach of applying Response Surface Methodology (RSM) with Reduced Basis Technique (RBT) to assist engineers in the blank optimization in sheet metal forming. The primary objective of the method is to reduce the enormous number of design variables required to define the blank shape. RBT is a weighted combination of several basis shapes. The aim of the method is to find the best combination using the weights for each blank shape as the design variables. A multi-level design process is developed to find suitable basis shapes or trial shapes at each level that can be used in the reduced basis technique. Each level is treated as a separated optimization problem until the required objective – minimum earing function – is achieved. The experimental design of RSM method is used to build the approximation model and to perform optimization. MATLAB software has been used for building RSM model. Explicit non-linear finite element (FE) Code Abaqus/CAE is used to simulate the deep drawing process. FE models are constructed incorporating the exact physical conditions of the process such as tooling design like die profile radius, punch corner radius, etc., material used, coefficient of friction, punch speed and blank holder force. The material used for the analysis is Stainless steel St12. A quantitative earing function is defined to measure the amount of earing and to compare the deformed shape and target shape set for each stage of the analysis. The cycle is repeated until the converged results are achieved. This iterative design process leads to optimal blank shape. So through the investigation the proposed method of optimal blank design is found to be very effective in the deep drawing process and can be further applied to other stamping applications.

Topology Optimization of Blank Geometry for the Sheet Forming Process

2012 ◽  
Author(s):  
Saber DorMohammadi ◽  
Mohammad Rouhi ◽  
Masoud Rais-Rohani
Keyword(s):  
Topology Optimization ◽  
Volume Fraction ◽  
Structural Response ◽  
Sheet Forming ◽  
Forming Process ◽  
Exchange Method ◽  
Forming Simulation ◽  
Blank Shape Optimization ◽  
Blank Shape ◽  
Consistent Subset

The newly developed element exchange method (EEM) for topology optimization is applied to the problem of blank shape optimization for the sheet-forming process. EEM uses a series of stochastic operations guided by the structural response of the model to switch solid and void elements in a given domain to minimize the objective function while maintaining the specified volume fraction. In application of EEM to blank optimization, a sheet forming simulation model is developed using Abaqus/Explicit. With the goal of minimizing the variability in wall thickness of the formed component, a subset of solid (i.e., high density) elements with the highest increase in thickness is exchanged with a consistent subset of void (i.e., low density) elements having the highest decrease in thickness so that the volume fraction remains constant. The EEM operations coupled with finite element simulations are repeated until the optimum blank geometry (i.e., boundary and initial thickness) is found. The developed numerical framework is applied to blank optimization of a benchmark problem. The results show that EEM is successful in generating the optimum blank geometry efficiently and accurately.

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