Sheet metal forming simulation in industry

Makinouchi, Akitake

doi:10.1016/0924-0136(96)02303-5

Cited by 121 publications

(63 citation statements)

References 2 publications

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“…One of these techniques is sheet metal forming simulation. The sheet metal forming process itself has been employed by the automotive industry for several decades now, but simulating its outcome in advance has not begun before the end of the 20 th century (Makinouchi, 1996). Metal forming and its simulation are also used in the aeronautical and aerospace industry.…”

Section: Figure 1 Tooling Design Process With (B) and Without Simulamentioning

confidence: 99%

Manufacturing Process Simulation – On Its Way to Industrial Application

Otten¹,

Weber²,

Arent³

2018

IJAAA

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Section: Figure 1 Tooling Design Process With (B) and Without Simulamentioning

confidence: 99%

Manufacturing Process Simulation – On Its Way to Industrial Application

Otten¹,

Weber²,

Arent³

2018

IJAAA

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“…The main objectives of the application of numerical process simulation in metal forming are to determine appropriate process parameters and to develop adequate die design by process simulation, to improve part quality by predicting process limits and preventing flow induced defects. Besides these, numerical process simulation also leads to reducing process and dies try-out, as well as shorter lead times, while significantly reducing manufacturing costs [2]. But the exclusive use of numerical modelling has some drawbacks, too.…”

Section: Introductionmentioning

confidence: 99%

Numerical modelling and simulation in sheet metal forming

Tisza

2004

Journal of Materials Processing Technology

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The application of the methods of Computer Aided Engineering in sheet metal forming is looking back for several decades. It covers a wide range of activities from the product design through the process planning and process control including sophisticated methods of modelling and simulation. Among the CAE activities, recently the development of Knowledge Based Systems has become an emerging field. Most of the available Knowledge Based Systems are based on simplified plasticity theory and empirical technological rules. Therefore, they are usually not able to give accurate solutions and reliable predictions for complicated forming processes. In the last two decades, significant progress has been also achieved in the numerical modelling of forming processes. In spite of the enormous development of hardware and software facilities, the exclusive use of numerical modelling still seems to be very time-and cost consuming. Therefore the integration of these two fields has great practical importance. In this paper, the challenges and opportunities of the integration of Knowledge Based Systems and Finite Element Modelling in the process planning of multi-step sheet forming processes will be given.

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“…Sheet metal forming processes are commonly used in the automotive industry to produce several metal parts with complex geometry [1]. Currently, the major concerns of the automotive industry are the environmental protection (low fuel consumption and, consequently, low exhaust emissions) and the safety specifications.…”

Section: Introductionmentioning

confidence: 99%

Prediction of wrinkling and springback in sheet metal forming

et al. 2016

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Abstract. The finite element simulation is currently a powerful tool to optimize forming processes in order to produce defect-free products. Wrinkling and springback are main geometrical defects arising in sheet metal forming. Nevertheless, the prediction of such defects requires accurate numerical models. This study presents the experimental and numerical analysis of a rail with high tendency to develop both wrinkling (top surface of geometry) and springback (flange). The punch force evolution and the final geometry of the rail, evaluated in four different cross-sections, are the main variables analysed. Globally, the numerical results are in good agreement with the experimental measurements. However, the shape of the wrinkle is significantly influenced by the symmetry conditions considered in the model (1/4 of the blank). In fact, considering the full model of the blank, the numerical results are in better agreement with the experimental ones. On the other hand, the computational cost of the numerical simulation considering the full blank is approximately 12 times higher than using 1/4 of the blank.

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Sheet metal forming simulation in industry

Cited by 121 publications

References 2 publications

Manufacturing Process Simulation – On Its Way to Industrial Application

Manufacturing Process Simulation – On Its Way to Industrial Application

Numerical modelling and simulation in sheet metal forming

Prediction of wrinkling and springback in sheet metal forming

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