Estimation of submerged arc plates weldment properties Using ANFIS and regression techniques

Joint Authors

Ashur, Yusuf Yunus
Jasim, Raad Jamal
Hassan, Abd al-Karim F.

Source

Basrah Journal for Engineering Sciences

Issue

Vol. 20, Issue 2 (31 Dec. 2020), pp.27-33, 7 p.

Publisher

University of Basrah College of Engineering

Publication Date

2020-12-31

Country of Publication

Iraq

No. of Pages

7

Main Topic

Physics

Topics

Abstract EN

The present work aims to build mathematical models based on experimental data to estimate the mechanical properties of submerged arc weldment.

AISI 1020 low carbon steel plates 16mm thickness were welded according to orthogonal array in order to establish the relationship between input parameters (welding current, Arc voltage and welding speed) and output parameters (ultimate tensile stress, yield stress, impact energy and hardness) by submerged arc welding (SAW) process.

The relationship between input and output parameters for the welding process are conducted using two suitable mathematical models the first one based on regression analysis, while the second one based on multi input single output ANFIS model for estimation of some mechanical properties of the welded plates.

It was found that ANFIS results are closer to the experimental results than regression results.

The optimal parameters (which give a maximum value of ultimate tensile strength (UTS), yield stress and impact energy; 446 MPa, 318 MPa and 213 J) are welding current is (380 Amp), Arc voltage is (25 V) and welding speed is (40 cm/min), while the maximum value of hardness number is (228 HV), when current welding is (380 Amp), Arc voltage is (25 V) and welding speed is (25 cm/min).

American Psychological Association (APA)

Hassan, Abd al-Karim F.& Jasim, Raad Jamal& Ashur, Yusuf Yunus. 2020. Estimation of submerged arc plates weldment properties Using ANFIS and regression techniques. Basrah Journal for Engineering Sciences،Vol. 20, no. 2, pp.27-33.
https://search.emarefa.net/detail/BIM-972938

Modern Language Association (MLA)

Hassan, Abd al-Karim F.…[et al.]. Estimation of submerged arc plates weldment properties Using ANFIS and regression techniques. Basrah Journal for Engineering Sciences Vol. 20, no. 2 (2020), pp.27-33.
https://search.emarefa.net/detail/BIM-972938

American Medical Association (AMA)

Hassan, Abd al-Karim F.& Jasim, Raad Jamal& Ashur, Yusuf Yunus. Estimation of submerged arc plates weldment properties Using ANFIS and regression techniques. Basrah Journal for Engineering Sciences. 2020. Vol. 20, no. 2, pp.27-33.
https://search.emarefa.net/detail/BIM-972938

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 33

Record ID

BIM-972938