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Regression modeling and neural computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace aluminium alloy
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Title: Regression modeling and neural computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace aluminium alloy

Creator:

Mishra , Akshansh ; Ve Vance, Jonathan

Date:

2019

Type:

artykuł w czasopiśmie

Description:

AA7075 is an aluminum alloy that's almost as strong as steel, yet it weighs just one third as much. Unfortunately, its use has been limited, due to the fact that pieces of it couldn't be securely welded together by the traditional welding process. Friction Stir Welding (FSW) process overcomes the limitations of the conventional welding process. The aim of our present is to compare the predicted results of the Ultimate Tensile Strength (UTS) of Friction Stir welded similar joints through Regression modeling and Artificial Neural Network (ANN) modeling. It was observed that the linear regression algorithm is able to make more accurate predictions compared to neural network algorithm for small dataset.

Place of publishing:

Koszalin

Publisher:

Publishing House of the Koszalin University of Technology

Format:

application/pdf

Identifier:

oai:dlibra.tu.koszalin.pl:1543

Language:

eng

Is part of:

Journal of Mechanical and Energy Engineering. Vol.3 (43), nr 3, s. 221-226

Rights:

Biblioteka Politechniki Koszalińskiej

Access rights:

internet

License:

Creative Commons BY 4.0

Exlibris

Subject and keywords:

artificial neural network regression model friction stir welding

Object collections:

Last modified:

Nov 6, 2023

In our library since:

Jun 29, 2022

Number of object content hits:

54

All available object's versions:

https://dlibra.tu.koszalin.pl/publication/1547

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Edition name Date
Mishra , Akshansh, 2019, Regression modeling and neural computing for predicting the Ultimate Tensile Strength of Friction Stir Welded aerospace aluminium alloy Nov 6, 2023

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Biblioteka Politechniki Koszalińskiej ul. Racławicka 15-17 75-620 Koszalin

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(+48) 94 34 78 455

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dlibra@tu.koszalin.pl

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