Evaluation of machine learning methods in predicting optimum tensile strength of microwave post-cured composite tailored for weight-sensitive applications-Reference-Cited by-同舟云学术

Evaluation of machine learning methods in predicting optimum tensile strength of microwave post-cured composite tailored for weight-sensitive applications

Published:2022-01 Issue: Volume:25 Page:100985
ISSN:2215-0986
Container-title:Engineering Science and Technology, an International Journal
language:en
Short-container-title:Engineering Science and Technology, an International Journal

Author:

Okafor Christian Emeka,Okafor Ezekiel Junior,Ikebudu Kingsley Okechukwu

Publisher

Elsevier BV

Subject

Metals and Alloys,Computer Networks and Communications,Fluid Flow and Transfer Processes,Hardware and Architecture,Mechanical Engineering,Biomaterials,Civil and Structural Engineering,Electronic, Optical and Magnetic Materials

Reference39 articles.

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2. Accelerated microwave curing of fibre-reinforced thermoset polymer composites for structural applications: a review of scientific challenges;Mgbemena;Compos. A Appl. Sci. Manuf.,2018

3. Microwave curing characteristics of CFRP composite depending on thickness variation using FBG temperature sensors;Kim;Materials,2020

4. Curing of polymeric composites using microwave resin transfer moulding (RTM);Yusoff;J. Eng. Sci. Technol.,2007

5. High-pressure microwave curing process for an epoxy-matrix glass-fiber composite;F, Boey, I Gosling, S.W. Lye;J. Mater. Process. Technol.,1992

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