Journal ArticleDOI
Online learning based intelligent temperature control during polymer composites microwave curing process
TLDR
In this article, neural networks were used to learn the dynamic temperature behaviors of the composite under various microwave control strategies during curing, which continuously provided accurate solutions to the uneven temperature distribution monitored in real time by active compensation.About:
This article is published in Chemical Engineering Journal.The article was published on 2019-08-15. It has received 15 citations till now. The article focuses on the topics: Curing (chemistry) & Temperature control.read more
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Journal ArticleDOI
Recent development of microwave applications for concrete treatment
TL;DR: A comprehensive review of the scientific and technical achievements of microwave-assisted concrete treatment can be found in this article, where the theoretical fundamentals for the microwave assisted concrete heating process are investigated in detail, covering areas such as the microwave heating characteristics, governing equations, dielectric properties and multi-field coupling effects.
Journal ArticleDOI
Advances in Computational Intelligence of Polymer Composite Materials: Machine Learning Assisted Modeling, Analysis and Design
TL;DR: In this article , a broad spectrum potential of ML in applications like prediction, optimization, feature identification, uncertainty quantification, reliability and sensitivity analysis along with the framework of different ML algorithms concerning polymer composites are discussed.
Journal ArticleDOI
Processing of polymer matrix composites using microwave energy: A review
TL;DR: In this article , an overview of the basics of microwave heating and the physics behind the microwave processing of polymer composites is presented, and the major constraints in adopting microwave technology for curing composites at the industry scale are highlighted.
Journal ArticleDOI
Review of microwave techniques used in the manufacture and fault detection of aircraft composites
TL;DR: In this article, the recent research progress is reviewed, identifying achievements and challenges, and representative case studies are presented, including intelligent/automated inspection and solid-state heating, which can offer volumetric heating, reduced processing time and energy saving with no ionising hazards.
Journal ArticleDOI
Effect of lay-up configuration on the microwave absorption properties of carbon fiber reinforced polymer composite materials
TL;DR: In this paper, the microwave response of many multidirectional carbon fiber reinforced polymer (CFRP) laminates has been investigated, considering the effect of the fiber orientation and the laminate thickness.
References
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Journal ArticleDOI
Deep learning
TL;DR: Deep learning is making major advances in solving problems that have resisted the best attempts of the artificial intelligence community for many years, and will have many more successes in the near future because it requires very little engineering by hand and can easily take advantage of increases in the amount of available computation and data.
Book
Deep Learning
TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Proceedings Article
Rectified Linear Units Improve Restricted Boltzmann Machines
Vinod Nair,Geoffrey E. Hinton +1 more
TL;DR: Restricted Boltzmann machines were developed using binary stochastic hidden units that learn features that are better for object recognition on the NORB dataset and face verification on the Labeled Faces in the Wild dataset.
Journal ArticleDOI
Microwave processing: fundamentals and applications
Erik T. Thostenson,Tsu-Wei Chou +1 more
TL;DR: In this paper, the fundamentals of electromagnetic theory, dielectric response, and applications of microwave heating to materials processing, especially fiber composites, are reviewed in this article, and a knowledge of electromagnetic theories and dielectrics is essential to optimize the processing of materials through microwave heating.
Journal ArticleDOI
Microwave–material interaction phenomena: Heating mechanisms, challenges and opportunities in material processing
TL;DR: In this paper, most of the significant phenomena that cause heating during microwave-material interaction and heat transfer during microwave energy absorption in materials are discussed. But, the mechanisms associated with the processing are less understood; popular mechanisms such as dipolar heating and conduction heating have been mostly explored.