scholarly journals Optimization of Process Parameters of Stamping Forming of the Automotive Lower Floor Board

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guoying Ma ◽  
Binbing Huang
Keyword(s):  
Process Parameters ◽  
Production Efficiency ◽  
Simulation Analysis ◽  
Orthogonal Experiment ◽  
Production Costs ◽  
Main Process ◽  
Forming Process ◽  
Optimization Of Process Parameters ◽  
Automobile Panel ◽  
Thinning Rate

There are many process parameters which have great effect on the forming quality of parts during automobile panel stamping forming process. This paper took automotive lower floor board as the research object; the forming process was analyzed by finite element simulation using Dynaform. The influences of four main process parameters including BHF (blank holder force), die corner radius, friction coefficient, and die clearance on the maximum thinning rate and the maximum thickening rate were researched based on orthogonal experiment. The results show that the influences of each value of various factors on the target are not identical. On this basis, the optimization of the four parameters was carried out, and the high quality product was obtained and the maximum thinning rate and maximum thickening rate were effectively controlled. The results also show that the simulation analysis provides the basis for the optimization of the forming process parameters, and it can greatly shorten the die manufacturing cycles, reduce the production costs, and improve the production efficiency.

Intelligent Prediction of Process Parameters for Cold Bending

2010 ◽  
Vol 154-155 ◽  
pp. 74-78
Author(s):  
Sheng Le Ren ◽  
Yi Nan Lai ◽  
Guang Fei Wu ◽  
Jun Tao Gu ◽  
Zeng Lou Li
Keyword(s):  
Prediction Model ◽  
Process Parameters ◽  
Production Efficiency ◽  
Bending Moment ◽  
Production Costs ◽  
Main Process ◽  
Tube Bending ◽  
Forming Process ◽  
Training Samples ◽  
Set Up

The choice of the process parameters in the conventional tube bending forming is often based on experience. The method of constantly testing to adjust has seriously affected the production efficiency and increased production costs. In this paper, an intelligent prediction model of the tube bending forming process parameters for utility boiler was set up based on neural network, which has been used to predict the main process parameters including the bending moment and boost power. In the intelligent prediction model, the analytical calculations, numerical simulation and experimental data are selected as the source of training samples. The test results show that the average relative error between the simulation output and target output of bending moment and boost power is less than 2%, and the predicted process parameters, i.e. bending moment and boost power, can be directly used for actual production.

scholarly journals Design of Hydraulic Bulging Die for Automobile Torsion Beam and Optimization of Forming Process Parameters

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Kefan Yang ◽  
Youmin Wang ◽  
Kexun Fu
Keyword(s):  
Friction Coefficient ◽  
Process Parameters ◽  
Orthogonal Experiment ◽  
Die Design ◽  
Molding Pressure ◽  
Hydraulic Pressure ◽  
Forming Process ◽  
Torsion Beam ◽  
Supporting Pressure ◽  
Hydraulic Bulging

The hydraulic bulging technology of tubes can provide hollow parts with special-shaped cross sections. Its manufacturing process can effectively improve material utilization and product accuracy and reduce the number and cost of molds. However, the hydraulic bulging process of parts is very complicated. The size of the tube blank, the design of the loading route, and the forming process parameters will have an effect on the molding quality. Closed tubular torsion automobile beam is considered as the research object to study hydraulic bulging die design and optimize forming process parameters. CATIA software is used to design torsion beam product structure and hydraulic bulging die. AMESim software is employed to design hydraulic synchronous control system for cylinders on both sides of the hydraulic bulging die. Mathematical control model is established and verified in Simulink software. DYNAFORM software is applied to conduct numerical simulation of hydraulic expansion. The supporting pressure, molding pressure, friction coefficient, and feeding quantity are taken as orthogonal experiment level factors. Maximum thinning and maximum thickening rates are taken as hydraulic pressure expansion evaluation indexes to complete the orthogonal experiments. Main molding process parameters are analyzed via orthogonal experiment results and optimized by employing the Taguchi method. Optimal hydraulic bulging parameters are obtained as follows: supporting pressure of 20 MPa, molding pressure of 150 MPa, feeding quantity of 25 mm, and friction coefficient of 0.075. Simulation analysis results indicate that the maximum thinning rate is equal to 9.013%, while the maximum thickening rate is equal to 16.523%. Finally, the design of hydraulic bulging die for torsion beam was completed, and its forming process parameters were optimized.

Application of Regression Trees in Optimization of Metal Forming Process

2014 ◽  
Vol 622-623 ◽  
pp. 749-755 ◽  
Author(s):  
Krzysztof Regulski ◽  
Danuta Szeliga ◽  
Jan Kusiak
Keyword(s):  
Sensitivity Analysis ◽  
Process Parameters ◽  
Dual Phase Steel ◽  
Deterministic Model ◽  
Computational Cost ◽  
Regression Trees ◽  
Dual Phase ◽  
Forming Process ◽  
Optimization Of Process Parameters ◽  
Thermomechanical Processes

Application of sensitivity analysis in optimization of process parameters of production processes for innovative materials, e.g. dual phase steel, requires deterministic model of thermomechanical processes and large datasets that covers whole surface of results. Difficulties in optimization of process parameters correspond with large number of control variables, which should be considered in the technology design. Furthermore, conduction of such analysis takes the great computational cost. Presented work concerns possibility of application of regression trees, especially CART model, in preliminary analysis for sensitivity analysis. Use of data mining algorithms enables acquiring of preliminary, rough results: relationships among parameters of the hot rolling process of dual phase steel strips and rules of optimization of this process, it also does not require any apriori knowledge about thermomechanical processes.

The Simulation Analysis of Tension Leveling for Improving the Shape Defects of Strip

2013 ◽  
Vol 634-638 ◽  
pp. 2818-2823
Author(s):  
Yan Liu ◽  
Yan Peng
Keyword(s):  
Process Parameters ◽  
Simulation Analysis ◽  
Stress And Strain ◽  
Extension Rate ◽  
Main Process ◽  
Computation Model ◽  
Elongation Ratio ◽  
Strain Change ◽  
Linear Strengthening ◽  
Simulation Results

According to the computation model of the stress, the strain, and the extend ratio in tension leveling, under the platform of mat lab, take the linear strengthening ball plastic model as the foundation, established the simulated program of the quantitative parameters enactment of tension leveling craft, this procedure consideration initial remaining stress of strip, namely random shape defects, assign tensile stress and the curving curvature, compute the strip’s stress and strain change and elongation ratio after tension leveling, given the stress and strain and the extension rate of the main process parameters from the simulation results of each roller, analysis of different process parameters set on impact of the simulation results, and the results conform to reality tension leveling production.

Impact of Process Parameters on the Auto Claw-Pole Thixoforming Process

2011 ◽  
Vol 295-297 ◽  
pp. 1625-1630 ◽  
Author(s):  
Van Luu Dao ◽  
Sheng Dun Zhao ◽  
Wen Jie Lin ◽  
Xiao Mei Yuan
Keyword(s):  
Process Parameters ◽  
Hot Forging ◽  
Main Process ◽  
Forming Process ◽  
Billet Temperature ◽  
Forming Technology ◽  
Punch Speed ◽  
Initial Billet ◽  
Die Temperature ◽  
The Impact

Thixoforming of steel is a potential forming technology, which can realize near-net-shape forming process with good quality in one forming step. In this paper, thixoforming process was used to replace the conventional hot forging process to form the auto claw-pole. The finite element code Forge2008Ó was used to simulate the auto claw-pole thixoforming process. The impact of three main process parameters such as initial billet temperature, punch speed and die temperature on the forming process were investigated. The reasonable process parameters for the auto claw-pole thixoforming were obtained: initial billet temperature 1430~1440°C, punch speed 100~200mm/s and die temperature 300~400°C.

Study on the Forming Process Parameters of Sleeper Fixed Reinforcing Plate Using Orthogonal Experiment Method by Numerical Simulation Technology

2012 ◽  
Vol 268-270 ◽  
pp. 458-463
Author(s):  
Hai Peng Li ◽  
Xue Xia Wang ◽  
Li Hui Wang ◽  
Jia Wei Fan ◽  
Ju Yuan Zhao
Keyword(s):  
Process Parameters ◽  
Orthogonal Experiment ◽  
Thickness Distribution ◽  
Forming Limit Diagram ◽  
Design Parameters ◽  
Forming Limit ◽  
Forming Process ◽  
Distribution Diagram ◽  
Experiment Method ◽  
Orthogonal Experiment Method

This paper presents a methodology to design optimal forming process parameters of the sleeper fixed reinforcing plate based on the use of computer aided engineering (CAE) technology. The methodology uses Unigraphics software to establish the numerical model and DYNAFORM software to simulate its sheet forming process to determine the feasible process parameters affecting its manufacturability, including whether the mould requires the binder, binder force, friction coefficient, and die fillet radius. The forming limit diagram and the thickness distribution diagram are selected to appraise and analyze the forming results. The orthogonal experiment method is adopted to simulate the design parameters to find out the optimum values for mould design.

Simulation Analysis of Residual Stress of the Plastic Gear Based on Moldflow

2012 ◽  
Vol 501 ◽  
pp. 339-343 ◽  
Author(s):  
Meng Li ◽  
Hui Min Zhang ◽  
Yong Nie
Keyword(s):  
Residual Stress ◽  
Injection Molding ◽  
Process Parameters ◽  
Simulation Analysis ◽  
Gear Tooth ◽  
Orthogonal Experiment ◽  
Injection Molding Process ◽  
Tooth Root ◽  
Molding Process ◽  
Melt Temperature

Through the orthogonal experiment with Moldflow software, numerical simulation was conducted in different injection molding process parameters. The influence on the plastic gear tooth root residual stress from the mold temperature, melt temperature, injection time, packing time, and packing pressure was explored was explored. The results showed that: The selected process parameters for plastic gear tooth root of the residual stress effects in varying degrees. By optimizing the injection molding process parameters, the residual stress of injection was reduced to improve the quality of injection molding gear.

Sign in / Sign up

Export Citation Format

Share Document