Sensitivity Analysis of the Sheet Metal Stamping Processes Based on Inverse Finite Element Modeling and Monte Carlo Simulation

2005 ◽  
Author(s):  
Maolin Yu
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo Simulation ◽  
Finite Element ◽  
Monte Carlo ◽  
Finite Element Modeling ◽  
Sheet Metal ◽  
Sheet Metal Stamping ◽  
Element Modeling ◽  
Metal Stamping

Calculation of dose distribution in compressible breast tissues using finite element modeling, Monte Carlo simulation and thermoluminescence dosimeters

2015 ◽  
Vol 60 (23) ◽  
pp. 9185-9202 ◽  
Author(s):  
Parvin Mohammadyari ◽  
Reza Faghihi ◽  
Mohammad Amin Mosleh-Shirazi ◽  
Mehrzad Lotfi ◽  
Mohammad Rahim Hematiyan ◽  
...  
Keyword(s):  
Monte Carlo Simulation ◽  
Finite Element ◽  
Monte Carlo ◽  
Finite Element Modeling ◽  
Dose Distribution ◽  
Element Modeling ◽  
Breast Tissues

Variation Simulation for Deformable Sheet Metal Assemblies Using Finite Element Methods

1997 ◽  
Vol 119 (3) ◽  
pp. 368-374 ◽  
Author(s):  
S. Charles Liu ◽  
S. Jack Hu
Keyword(s):  
Monte Carlo Simulation ◽  
Finite Element ◽  
Monte Carlo ◽  
Sheet Metal ◽  
Finite Element Methods ◽  
Free Form ◽  
Direct Monte Carlo Simulation ◽  
Free Form Surfaces ◽  
Variation Simulation ◽  
Sheet Metal Assembly

Traditional variation analysis methods, such as Root Sum Square method and Monte Carlo simulation, are not applicable to sheet metal assemblies because of possible part deformation during the assembly process. This paper proposes the use of finite element methods (FEM) in developing mechanistic variation simulation models for deformable sheet metal parts with complex two or three dimensional free form surfaces. Mechanistic variation simulation provides improved analysis by combining engineering structure models and statistical analysis in predicting the assembly variation. Direct Monte Carlo simulation in FEM is very time consuming, because hundreds or thousands of FEM runs are required to obtain a realistic assembly distribution. An alternative method, based on the Method of Influence Coefficients, is developed to improve the computational efficiency, producing improvements by several orders of magnitude. Simulations from both methods yield almost identical results. An example illustrates the developed methods used for evaluating sheet metal assembly variation. The new approaches provide an improved understanding of sheet metal assembly processes.

Study of the Effect of Process Induced Uncertainties on the Performance of a Micro-Comb Resonator

2009 ◽  
Vol 147-149 ◽  
pp. 716-725 ◽  
Author(s):  
Irina Codreanu ◽  
Adam Martowicz ◽  
A. Gallina ◽  
Łukasz Pieczonka ◽  
Tadeusz Uhl
Keyword(s):  
Sensitivity Analysis ◽  
Monte Carlo Simulation ◽  
Finite Element ◽  
Monte Carlo ◽  
Mode Shapes ◽  
Computational Techniques ◽  
Simulation Methods ◽  
Input Parameters ◽  
Mobile Mass ◽  
Study Case

This paper presents a modeling technique based on the integration in the classic deterministic simulation methods of probabilistic computational techniques such as uncertainty analysis and sensitivity analysis. As study case, it is presented a micro-comb resonator that is actuated electrostatically to vibrate in the plane parallel to the substrate. A deterministic Finite Element coupled electromechanical analysis is performed to evaluate the mode shapes and the corresponding eigenfrequencies of the mobile mass and afterwards a Monte Carlo simulation is used to determine the dispersion of the eigenfrequency of the mode shape of interest in function of the variations of the input parameters. The scatter of the results is analyzed and then it is presented a sensitivity analysis for establishing which of the input parameters have more influence on the variability of the microresonators performance.

Reducing Non-Value Added Process for an Automotive Component Using Finite Element Modeling

2012 ◽  
Vol 576 ◽  
pp. 737-741
Author(s):  
Roseleena Jaafar ◽  
Farrahshaida Mohd Salleh ◽  
Izdihar Tharazi ◽  
Abdul Rahman Omar
Keyword(s):  
Finite Element ◽  
Finite Element Modeling ◽  
Sheet Metal ◽  
Research Work ◽  
Value Added ◽  
Forming Limit ◽  
Low Carbon ◽  
Forming Process ◽  
Automotive Component ◽  
Element Modeling

The research work focuses on sheet metal stamping process simulation of an automotive component known as bracket assembly upper spring made from low carbon steel and has axis-symmetrical cup shape that employs four multi-stage drawing processes. Non-value added drawing stages (optimization process) reduced and portrayed from the formability simulation result using finite element modeling (FEM) method. The modified design, with reduction of one draw stage, showed that the risk of the component to form cracks is lesser, the material elements are further away from the failure zone of the forming limit diagram (FLD) and it meets the requirement for minimum thickness. The FEM simulation was able to predict the formability and optimize the design of a sheet metal forming process that lowered the product cost and improve cycle time.

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