Finite-Element Simulation and Analysis on High Velocity Impact Damage of Aircraft Panel Structure

2007 ◽  
Vol 353-358 ◽  
pp. 1033-1036
Author(s):  
Shu Lin Li ◽  
Man Yi Hou

The finite-element simulation models of the projectile and the discrete rod impacting to the aircraft panel structure in high velocity are established according to some experiment projects. Based on dynamic finite-element Program, the forming of impact damage in the panel structure is simulated. Through comparing the simulation results of damage pattern and size in the panel to the experiment results, the reliability of the material models and equations of state and contact algorithm used in the simulations is testified. Take the simulation of projectile vertically impacting to the panel as example, the aircraft panel structure response characteristics are analyzed briefly based on the results including the displacement of typical node in the panel, the stress course of one element and the energy change of the panel.

Author(s):  
Chong-Yang Gao ◽  
Liang-Chi Zhang ◽  
Peng-Hui Liu

This paper provides a comprehensive assessment on some commonly used thermo-viscoplastic constitutive models of metallic materials during severe plastic deformation at high-strain rates. An hcp model previously established by us was improved in this paper to enhance its predictability by incorporating the key saturation characteristic of strain hardening. A compensation-based stress-updating algorithm was also developed to introduce the new hcp model into a finite element program. The improved model with the developed algorithm was then applied in finite element simulation to investigate the high-speed machining of Ti6Al4V. It was found that by using different material models, the simulated results of cutting forces, serrated chip morphologies, and residual stresses can be different too and that the improved model proposed in this paper can be applied to simulate the titanium alloy machining process more reliably due to its physical basis when compared with some other empirical Johnson–Cook models.


2018 ◽  
Vol 284 ◽  
pp. 146-151 ◽  
Author(s):  
I.V. Magnitsky ◽  
F.R. Odinabekov ◽  
E.S. Sergeeva

Finite-element simulation of the spatially reinforced composite material elastic properties is performed. The simulation models are built in two steps: first, a 4DL-reinforced material model simulating a perfect matrix/rod contact is built; second, an improved simulation model is developed, taking into account the possibility of separation between the composite components. Comparison is made between the results obtained numerically and those based on the existing analytical models. With these finite-element simulation models, it is possible to estimate the required composite elastic properties to be used when designing structural components based on those materials.


2011 ◽  
Vol 413 ◽  
pp. 229-234 ◽  
Author(s):  
Hassan Habib ◽  
Nicolas G. Wright ◽  
Alton B. Horsfall

In the last decade, or so, many prototype Silicon Carbide devices and circuits have been demonstrated which have surpassed the performance of Silicon for the ability to function in extreme environments. However, the commercialisation of SiC technology now demands high performance and energy efficient miniaturised devices and circuits which can operate on the limited power resources available in harsh and hot hostile environments. This leads to refining, experimenting and perhaps re-designing devices which can rightly claim their share in the current Si dominant market. Consequently, there is a need for accurate simulation models for device engineers to understand device behaviour, examine performance trade-offs and verify the manufacturability of the design. This paper reports the first comprehensive study on the development and validation of high temperature 4H-SiC Technology Computer Aided Design (TCAD) Finite Element simulation model for low power applications. The model is based on 4H-SiC physical and material properties and is validated by high temperature 4H-SiC lateral JFET data, fabricated and characterised by our group at Newcastle University.


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