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Bidirectional Gated Recurrent Deep Learning Neural Networks for Smart Acoustic Emission Sensing of Natural Fiber–Reinforced Polymer Composite Machining Process

Article dans une revue avec comité de lecture
Auteur
WANG, Zimo
DIXIT, Pawan
TAKABI, Behrouz
TAI, Bruce L.
BUKKAPATNAM, Satish
ccEL MANSORI, Mohamed
211915 Mechanics surfaces and materials processing [MSMP]
301080 Texas A&M University [College Station]
ccCHEGDANI, Faissal

URI
http://hdl.handle.net/10985/19635
DOI
10.1520/ssms20190042
Date
2020
Journal
Smart and Sustainable Manufacturing Systems

Résumé

Natural fiber–reinforced polymer (NFRP) composites are increasingly considered in the industry for creating environmentally benign product alternatives. The complex structure of the fibers and their random distribution within the matrix basis impede the machinability of NFRP composites as well as the resulting product quality. This article investigates a smart process monitoring approach that employs acoustic emission (AE)—elastic waves sourced from various plastic deformation and fracture mechanisms—to characterize the variations in the NFRP machining process. The state-of-the-art analytic tools are incapable of handling the transient dynamic patterns with long-term correlations and bursts in AE and how process conditions and the underlying material removal mechanisms affect these patterns. To address this gap, we investigated two types of the bidirectional gated recurrent deep learning neural network (BD-GRNN) models, viz., bidirectional long short-term memory and bidirectional gated recurrent unit to predict the process conditions based on dynamic AE patterns. The models are tested on the AE signals gathered from orthogonal cutting experiments on NFRP samples performed at six different cutting speeds and three fiber orientations. The results from the experimental study suggest that BD-GRNNs can correctly predict (around 87 % accuracy) the cutting conditions based on the extracted temporal-spectral features of AE signals.

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Documents liés

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  • Acoustic Emission Characterization of Natural Fiber Reinforced Plastic Composite Machining Using a Random Forest Machine Learning Model 
    Article dans une revue avec comité de lecture
    WANG, Zimo; ccCHEGDANI, Faissal; YALAMARTI, Neehar; TAKABI, Behrouz; TAI, Bruce; ccEL MANSORI, Mohamed; BUKKAPATNAM, Satish (ASME International, 2020-01-31)
    Natural fiber reinforced plastic (NFRP) composites are eliciting an increased interest across industrial sectors, as they combine a high degree of biodegradability and recyclability with unique structural properties. These ...
  • Characterization of the physical origins of acoustic emission (AE) from natural fiber reinforced polymers (NFRPs) machining processes 
    Article dans une revue avec comité de lecture
    WANG, Zimo; GUO, Ruiqi; MA, Qiyang; ccCHEGDANI, Faissal; TAI, Bruce; BUKKAPATNAM, Satish T. S.; ccEL MANSORI, Mohamed (Springer Nature, 2021-09-08)
    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 ...
  • Thermal Effects on Tribological Behavior in Machining Natural Fiber Composites 
    Communication avec acte
    TAKABI, Behrouz; TAI, Bruce; BUKKAPATNAM, Satish; ccEL MANSORI, Mohamed; ccCHEGDANI, Faissal (ELSEVIER, 2018)
    Machining natural fibers reinforced plastic (NFRP) composites is nowadays a real challenge for academia and industries. These eco-friendly materials are emerging in automotive and aeronautical industries thanks to many ...
  • Effect of flax fiber orientation on machining behavior and surface finish of natural fiber reinforced polymer composites 
    Article dans une revue avec comité de lecture
    TAKABI, Behrouz; TAI, Bruce L.; BUKKAPATNAM, Satish T.S.; ccEL MANSORI, Mohamed; ccCHEGDANI, Faissal (Society of Manufacturing Engineers, 2020)
    Manufacturing processes of natural fiber reinforced polymer (NFRP) composites are becoming the interest of industrials and scientists because these eco-friendly materials are emerging in automotive and aerospace industries. ...
  • Multiscale tribo-mechanical analysis of natural fiber composites for manufacturing applications 
    Article dans une revue avec comité de lecture
    WANG, Zimo; BUKKAPATNAM, Satish; ccEL MANSORI, Mohamed; ccCHEGDANI, Faissal (Elsevier, 2018)
    This paper aims to investigate the tribo-mechanical behavior of natural fiber reinforced plastic (NFRP) composites with specific consideration of the multiscale complex structure of natural fibers. Understanding the ...

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