Mechanical property prediction of SPS processed GNP/PLA polymer nanocomposite using artificial neural network-Reference-Cited by-同舟云学术

Mechanical property prediction of SPS processed GNP/PLA polymer nanocomposite using artificial neural network

Published:2020-01-01 Issue:1 Volume:7 Page:1720894
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Adesina O. T.¹^ORCID,Jamiru T.¹,Daniyan I. A.²,Sadiku E. R.³,Ogunbiyi O. F.¹,Adesina O. S.⁴,Beneke L. W.¹

Affiliation:

1. Department of Mechanical Engineering, Mechatronics and Industrial Design, Tshwane University of Technology, Pretoria, South Africa

2. Department of Industrial Engineering, Tshwane University of Technology, Pretoria, South Africa

3. Institute of NanoEngineering Research (INER) and Department of Chemical Metallurgy and Materials Engineering, Tshwane University of Technology, Pretoria, South Africa

4. Department of Mechanical Engineering, Landmark University, Omu-Aran, Kwara State, Nigeria

Funder

Tshwane University of Technology

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2020.1720894

Reference47 articles.

1. Optimization of SPS processing parameters on the density and hardness properties of graphene reinforced polylactic acid nanocomposite

2. The use of GA–ANNs in the modelling of compressive strength of cement mortar

3. Prediction of nonlinear viscoelastic behavior of polymeric composites using an artificial neural network

4. Artificial neural network modeling to evaluate polyvinylchloride composites’ properties

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