# Timing Analyses in FWE Evaluation
## 1 Introduction
The research showed that decreasing fabric areal weight leads to significant increases in tensile strength, elastic modulus, and in-plane shear stress, offering valuable insights for material selection in industrial applications and enhancing the understanding of composite behavior. The impact of various weave structures on fabric comfort and mechanical properties of fiber-reinforced composites was presented in [6]. Fabrics using different materials in the warp and weft directions, with four weave types each, were examined. Hybrid fabrics with specific weaves demonstrated superior air permeability, moisture management, and thermal resistance. In composites, different weaves exhibited enhanced mechanical properties, suggesting applications in window coverings, sports equipment, and, potentially, the automotive industry. The authors of [7] evaluated different propagation of acoustic signals with different CFRPs, and several material proprieties were also researched. Fiber orientation, ply number, and material geometry proved to have an important role because they affect the acoustic wave during propagation; with that in mind, the negative side effects are loss of peak amplitude, duration, and energy of the recorded signals. In [8], the author proposed a new structure that modeled the FWE and cross-talk phenomena for high data rate differential lines designed in PCB. It was shown that the substrate of composite is essential in the construction aspect for such lines, and it was concluded that frequency-dependent materials framework needs to be implemented and FWE must be pre-evaluated in the design chapter. The time domain and frequency domain indicate the priority of accurate model use for intersymbol interference prevention, which is a crucial aspect in signal quality evaluation. The authors of [9] explained the benefit of using Modal Acoustic Emission (MAE) on Composite Overwrapped Pressure Vessels (COPV). The paper examined this path, which is an encouraging method that brings more data to typical acoustic emission techniques. It also discusses how MAE signals are used for mode extraction from AE signals. As a conclusion, it demonstrated that extensional and flexural modes were splatted, and their frequency bandwidths were described. With all of this in mind, MAE is encouraging but demands more examination. In [10], the authors raised issues regarding the connection between Acoustic Emitted (AE) signal features and Fiber-Resin Composite Materials (FRCM) that may damage the transmitted signal because of fiber weaving. It was shown that the axial fibers layer is the main bearer of the signal, while the interweave oblique fiber can shift the values of the amplitude, number of received sounds, and their energy and duration. They concluded that AE proved to be a good solution for testing the FCRM with sophisticated fiber waving. The authors of [11] applied the AE technique to check glass/epoxy laminated when exposed to mode II delamination loading conditions. A Hilbert Transform (HT) signal processing approach was used and the results concluded that this approach was relevant to measure damage mechanisms and better compliance was settled. In addition, the HT boosted signal characterization. In [12; 13], the authors presented several results related to the effects of surface treatment, creation process, and architecture on the mechanical and environmental setting of laminated jute/epoxy campsites. It was shown that the use of unidirectional fabric architecture raised the strength and tensile modulus. Also, the paper showed that jute/epoxy laminar composites have almost the same stiffness-to-mass ratio as glass fabric/epoxy laminar composites. In [14], the authors evaluated the delamination propagation in glass/epoxy composites under mode I quasi-static and fatigue loading conditions. Several connections were made between the AE energy and the free strain energy. In a third-degree polynomial, connections between the cumulative AE energy of delamination and cumulative crack growth were anticipated with the AE method.