Optimization of dry compressive strength of groundnut shell ash particles (GSAp) and ant hill bonded foundry sand using ann and genetic algorithm-Reference-Cited by-同舟云学术

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Optimization of dry compressive strength of groundnut shell ash particles (GSAp) and ant hill bonded foundry sand using ann and genetic algorithm

Published:2019-01-01 Issue:1 Volume:6 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Nwobi-Okoye Chidozie Chukwuemeka¹^ORCID,Okonji Patrick Chukwuka²,Okiy Stanley³

Affiliation:

1. Faculty of Engineering, Anambra State University (Chukwuemeka Odumegwu Ojukwu University), Uli, Nigeria

2. Department of Mechanical Engineering, Chukwuemeka Odumegwu Ojukwu University, Uli, Nigeria

3. Department of Welding and Offshore Technology, Petroleum Training Institute, Effurun, Nigeria

Funder

research

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2019.1681055

Reference28 articles.

1. Controlling green sand mould properties using artificial neural networks and genetic algorithms — A comparison

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1. Multi objective optimization of novel Al-Si-Mg nanocomposites: A Taguchi-ANN-NSGA-II Approach;Journal of Engineering Research;2023-10

2. Enhancing NoC-Based MPSoC Performance: A Predictive Approach With ANN and Guaranteed Convergence Arithmetic Optimization Algorithm;IEEE Access;2023

3. Mechanical Characterization and Numerical Optimization of Aluminum Matrix Hybrid Composite;Materials Science Forum;2022-06-30

4. Computational Modeling and Multi-objective Optimization of Engine Performance with Waste Soya Oil-Based Biodiesel Using Genetic Algorithm and Utility Function;Process Integration and Optimization for Sustainability;2021-06-24

5. Factorial optimization and predictive modelling of properties of Ukpor clay bonded synthetic moulding sand prepared using River Niger silica sand;Results in Materials;2021-06

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