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Neuro-Fuzzy Technique for Micro-hardness Evaluation of Explosive Welded Joints

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Abstract

In this research work, aluminium with low-carbon steel was joined through the explosive welding process at different loading ratios. The high impact pressure caused by explosive energy at the weld interface results in increase in hardness value. This hardness property plays an important role, as it affects the mechanical properties of welded plates. A model based on an intelligent technique named adaptive network-based fuzzy inference system (ANFIS) has been developed to predict the various micro-hardness values across the weld interface of explosive welded plates. The obtained experimental data were utilized for training and testing of the ANFIS model to predict micro-hardness values. The developed model was used on both sides of the weld interface, i.e. aluminium and steel. The model performance evaluations were carried out using different statistical criteria such as cross-correlation, mean absolute percentage error (MAPE) and root-mean-square error (RMSE). In comparison with aluminium, the steel side showed good results with a value of adj. R-square (0.95955) when compared to that in aluminium (0.85343). This observation was also supported by MAPE and RMSE data. The experimentally obtained micro-hardness values were found to be in good agreement with predicted ones through the ANFIS model.

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Acknowledgements

The support from the Terminal Ballistics Research Laboratory is highly acknowledged. The authors are very thankful to Dr. Manjit Singh, Director, TBRL, sector-30 Chandigarh. Thanks also go to all the scientists and staff of MEMWD and EED of TBRL for their valuable support.

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Authors and Affiliations

  1. Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India

    Bir Bahadur Sherpa & Sachin Tyagi

  2. DRDO-Terminal Ballistics Research Laboratory (TBRL), Sector-30, Chandigarh, 160030, India

    Bir Bahadur Sherpa, Pal Dinesh Kumar, Abhishek Upadhyay & Sandeep Kumar

  3. CSIR-Central Scientific Instruments Organisation (CSIO), Sector-30, Chandigarh, 160030, India

    Bir Bahadur Sherpa & Sachin Tyagi

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  1. Bir Bahadur Sherpa
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  2. Pal Dinesh Kumar
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  3. Abhishek Upadhyay
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  4. Sandeep Kumar
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  5. Sachin Tyagi
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Correspondence to Bir Bahadur Sherpa.

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Sherpa, B.B., Kumar, P.D., Upadhyay, A. et al. Neuro-Fuzzy Technique for Micro-hardness Evaluation of Explosive Welded Joints. Trans Indian Inst Met 73, 1287–1299 (2020). https://doi.org/10.1007/s12666-020-01980-2

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