Evaluation of surface roughness by vision system MB Kiran, B Ramamoorthy, V Radhakrishnan International journal of machine tools and manufacture 38 (5-6), 685-690, 1998 | 157 | 1998 |
Modeling of surface roughness and the role of debris in micro-EDM MPS Krishna Kiran, SS Joshi | 49 | 2007 |
Evaluation of 3D surface roughness parameters of EDM components using vision system DM Shivanna, MB Kiran, SD Kavitha Procedia Materials Science 5, 2132-2141, 2014 | 44 | 2014 |
A non-contact approach for surface roughness prediction in CNC turning using a linear regression model DR Patel, MB Kiran Materials Today: Proceedings 26, 350-355, 2020 | 39 | 2020 |
Texture classification of machined surfaces using image processing and machine learning techniques. DR Patel, V Vakharia, MB Kiran FME Transactions 47 (4), 2019 | 34 | 2019 |
Investigation of friction stir processing effect on AA 2014-T6 VSSKRK Jacob John, S.P. Shanmuganatan, M.B. Kiran International Journal of Materials and Manufacturing Processes, 2018 | 31* | 2018 |
Surface Roughness Prediction of Machined Components Using Gray Level Co-occurrence Matrix and Bagging Tree. DR Patel, H Thakker, MB Kiran, V Vakharia FME Transactions 48 (2), 2020 | 30 | 2020 |
Modeling and prediction of surface roughness using multiple regressions: A noncontact approach DR Patel, MB Kiran, V Vakharia Engineering Reports 2 (2), e12119, 2020 | 29 | 2020 |
Feature extraction and classification of machined component texture images using wavelet and artificial intelligence techniques V Vakharia, MB Kiran, NJ Dave, U Kagathara 2017 8th International Conference on Mechanical and Aerospace Engineering …, 2017 | 28 | 2017 |
Effect of tool geometry on microstructure and mechanical Properties of friction stir processed AA2024-T351 aluminium alloy J John, SP Shanmughanatan, MB Kiran Materials Today: Proceedings 5 (1), 2965-2979, 2018 | 22 | 2018 |
Vision based prediction of surface roughness for end milling DR Patel, MB Kiran Materials Today: Proceedings 44, 792-796, 2021 | 18 | 2021 |
Measurement and analysis of tool wear using vision system S Mehta, RA Singh, Y Mohata, MB Kiran 2019 IEEE 6th International Conference on Industrial Engineering and …, 2019 | 18 | 2019 |
Non-contact surface roughness measurement using laser speckle technique DR Patel, MB Kiran IOP Conference Series: Materials Science and Engineering 895 (1), 012007, 2020 | 15 | 2020 |
Influence and Optimization of Input Parameters on Mechanical Properties of Friction Stir Processed AA 2014-T6 MBK Jacob John,S.P Shanmuganatan Materials Today: Proceedings 5, 25458–25467, 2018 | 11 | 2018 |
Occupational health and safety performance evaluation of countries based on MAIRCA GF Can, MB Kıran International Journal of Intelligent Computing and Cybernetics 13 (1), 1-24, 2020 | 10 | 2020 |
Synthesis and Characterization of Tin (IV) Complexes of Biologically Active Thiosemicarbazones Kiran, RV Singh, JP Tandon Synthesis and Reactivity in Inorganic and Metal-Organic Chemistry 16 (10 …, 1986 | 10 | 1986 |
Experimental analysis on relationship between roughness parameters and texture features of 6082T6 sandblasted components DR Patel, MB Kiran Materials Today: Proceedings 18, 3008-3016, 2019 | 9 | 2019 |
Minimum zone tolerance algorithm to detect roundness error for machined rods using vision system K Kshaurad, MB Kiran, SP Shanmuganatan Materials Today: Proceedings 46, 5997-6003, 2021 | 8 | 2021 |
The review on various strategies adopted for implementing and sustaining 5S in a manufacturing industries M Patel, MB Kiran Proceedings of the International Conference on Industrial Engineering and …, 2022 | 7 | 2022 |
The Internet of Things in the Corporate Environment: Cross-Industry Perspectives and Implementation Issues MB Kiran, MG Wynn Handbook of Research on Digital Transformation, Industry Use Cases, and the …, 2022 | 7 | 2022 |