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| Content Provider | Springer Nature Link |
|---|---|
| Author | Aghakhani, M. Ghaderi, M. R. Karami, A. Derakhshan, A. A. |
| Copyright Year | 2013 |
| Abstract | These days, the trend in every manufacturing industry including welding is to automate the processes in order to increase productivity. To achieve this objective, it is therefore necessary to make use of models to relate the input parameters with the responses. This paper reports on the applicability of fuzzy logic to predict the weld bead penetration in submerged arc welding process as affected by input welding parameters. Fuzzy logic is a computer technique which allows expressing, evaluating, and simplifying complexities in regard to the relationships in a process by describing the dependencies between output and input parameters in a linguistic form. To develop the fuzzy logic model, the arc voltage, welding current, welding speed, electrode stick-out, and thickness of TiO2 nanoparticles were taken as the input parameters and the weld bead penetration as the response. In order to generate experimental data, a five-level five-factor rotatable central composite design of experiments was employed. Experiments were performed, and the weld bead penetrations were measured. The predicted results using fuzzy logic were compared with the experimental ones. The correlation coefficient value obtained was 99.99 % between the measured and predicted values of weld bead penetration. The results show that the fuzzy logic is an accurate and reliable technique used in predicting the weld bead penetration due to its low error rate. |
| Starting Page | 63 |
| Ending Page | 72 |
| Page Count | 10 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 70 |
| Issue Number | 1-4 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2013-08-25 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | TiO2 nanoparticles Weld bead penetration Submerged arc welding Input welding parameters Fuzzy logic Rotatable central composite design Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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