This paper presents a novel technique based on artificial neural networks (ANNs) for prediction of gas metal arc welding parameters. Input parameters of the model consist of gas mixtures, whereas, outputs of the ANN model include mechanical properties such as tensile strength, impact strength, elong
β¦ LIBER β¦
Prediction of weld bead geometry and penetration in shielded metal-arc welding using artificial neural networks
β Scribed by D.S. Nagesh; G.L. Datta
- Book ID
- 108469143
- Publisher
- Elsevier Science
- Year
- 2002
- Tongue
- English
- Weight
- 272 KB
- Volume
- 123
- Category
- Article
- ISSN
- 0924-0136
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