Numerical simulation of acoustic emission in fiber reinforced polymers

1998 ◽  
Vol 13 (1-3) ◽  
pp. 23-30 ◽  
Author(s):  
H. Dietzhausen ◽  
M. Dong ◽  
S. Schmauder
Materials ◽  
2021 ◽  
Vol 14 (12) ◽  
pp. 3348
Author(s):  
Angela Russo ◽  
Andrea Sellitto ◽  
Prisco Curatolo ◽  
Valerio Acanfora ◽  
Salvatore Saputo ◽  
...  

Composite materials, like metals, are subject to fatigue effects, representing one of the main causes for component collapse in carbon fiber-reinforced polymers. Indeed, when subject to low stress cyclic loading, carbon fiber-reinforced polymers exhibit gradual degradation of the mechanical properties. The numerical simulation of this phenomenon, which can strongly reduce time and costs to market, can be extremely expensive in terms of computational effort since a very high number of static analyses need to be run to take into account the real damage propagation due the fatigue effects. In this paper, a novel cycle jump strategy, named Smart Cycle strategy, is introduced in the numerical model to avoid the simulation of every single cycle and save computational resources. This cycle jump strategy can be seen as an enhancement of the empirical model proposed by Shokrieh and Lessard for the evaluation of the fatigue-induced strength and stiffness degradation. Indeed, the Smart Cycle allows quickly obtaining a preliminary assessment of the fatigue behavior of composite structures. It is based on the hypothesis that the stress redistribution, due to the fatigue-induced gradual degradation of the material properties, can be neglected until sudden fiber and/or matrix damage is verified at element/lamina level. The numerical procedure has been implemented in the commercial finite element code ANSYS MECHANICAL, by means of Ansys Parametric Design Languages (APDL). Briefly, the Smart Cycle routine is able to predict cycles where fatigue failure criteria are likely to be satisfied and to limit the numerical simulation to these cycles where a consistent damage propagation in terms of fiber and matrix breakage is expected. The proposed numerical strategy was preliminarily validated, in the frame of this research study, on 30° fiber-oriented unidirectional coupons subjected to tensile–tensile fatigue loading conditions. The numerical results were compared with literature experimental data in terms of number of cycles at failure for different percentage of the static strength. Lastly, in order to assess its potential in terms of computational time saving on more complex structures and different loading conditions, the proposed numerical approach was used to investigate the fatigue behavior of a cross-ply open-hole composite panel under tension–tension fatigue loading conditions.


2017 ◽  
Vol 742 ◽  
pp. 644-651
Author(s):  
Anna Trauth ◽  
Pascal Pinter ◽  
Kay André Weidenmann

Failure of fiber reinforced polymers is a complex interaction of different microstructural mechanisms. In order to assign those mechanisms to the macroscopic material response, in-situ methods as acoustic emission can be applied. This allows for the detection of initiation and growth as well as for the localization of damage in mechanically loaded materials. In this study, mechanical material testing of continuous and discontinuous fiber reinforced polymers was coupled with acoustic emission. Results have shown that different failure mechanisms resulting from different reinforcement architectures can be distinguished due to their acoustic emission signal. Based on experimentally captured acoustic emission signals, machine learning algorithms were applied to differentiate various failure mechanisms. This offers the possibility to investigate damage of hybrid continuous-discontinuous Sheet Molding Compounds exposed to bending loads.


2021 ◽  
Author(s):  
Zimo Wang ◽  
Ruiqi Guo ◽  
Qiyang Ma ◽  
Faissal Chegdani ◽  
Bruce Tai ◽  
...  

Abstract Natural fiber reinforced polymers (NFRPs) are environmentally friendly and are receiving growing attention in the industry. However, the multi-scale structure of natural fibers and the random distribution of the fibers in the matrix material severely impede the machinability of NFRPs, and real-time monitoring is essential for quality assurance. This paper reports a synchronous in-situ imaging and acoustic emission (AE) analysis of the NFRP machining process to connect the temporal features of AE to the underlying dynamics and process instability, all happen within milliseconds during the NFRP cutting. This approach allows directly observing the surface modification and chip formation from a high-speed camera (HSC) during NFRP cutting processes. The analysis of the HSC images suggests that the complex fiber structure and the random distribution introduce an unsteady, almost a freeze-and-release type motion pattern of the cutting tool with varying depths of cut at the machining interface. More pertinently, a prominent burst pattern of AE from time domain was found to emanate due to the sudden penetration of the tool into the surface of the NFRP workpiece (increasing the depth of cut), as well as a release motion of the tool from its momentary freeze position. These findings open the possibility of tracking AE signals to assess the effective specific energy and surface quality that are affected by these unsteady motion patterns.


PAMM ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Nicola Magino ◽  
Jonathan Köbler ◽  
Heiko Andrä ◽  
Matti Schneider ◽  
Fabian Welschinger

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