Year : 2026
Image-based machine learning for monitoring wear stages and surface roughness in grinding wheels
Cite this Research Publication : A Sumesh, K Rameshkumar, Binoy B Nair, Dinu Thomas Thekkuden, M Thenarasu, MS Narassima, Amal A Menon, Image-based machine learning for monitoring wear stages and surface roughness in grinding wheels, Structural Health Monitoring, SAGE Publications, 2026, https://doi.org/10.1177/14759217251414009
Publisher : SAGE Publications
Year : 2026
Comparative Study on Thermal Behaviour, Tool Wear and Surface Roughness in Milling EN8 Steel for Sustainable Machining
Cite this Research Publication : Thenarasu Mohanavelu, Narassima Madhavarao Seshadri, Sreeranjani Vijayakumar, Sumesh Arangot, Jana Petru, Saravanamurugan Sundaram, Comparative Study on Thermal Behaviour, Tool Wear and Surface Roughness in Milling EN8 Steel for Sustainable Machining, Materials, MDPI AG, 2026, https://doi.org/10.3390/ma19050975
Publisher : MDPI AG
Year : 2026
Beyond the Buffer: A Hierarchical Blueprint for Resilient Supply Chain
Cite this Research Publication : Narassima Madhavarao Seshadri, Anbuudayasankar Singanallur Palaniswamy, Olivia McDermott, Thenarasu Mohanavelu, Sumesh Arangot, Beyond the Buffer: A Hierarchical Blueprint for Resilient Supply Chain, Logistics, MDPI AG, 2026, https://doi.org/10.3390/logistics10020043
Publisher : MDPI AG
Year : 2026
Comparative Evaluation of Mechanical Behaviour and Machinability of WAAM-Fabricated Aluminium Alloys
Cite this Research Publication : Saravanamurugan Sundaram, Thenarasu Mohanavelu, Sumesh Arangot, Jana Petru, Mohan Ruthramoorthy, Rashaad Sabir Rowther, Kamalesh Senthilkumar, Comparative Evaluation of Mechanical Behaviour and Machinability of WAAM-Fabricated Aluminium Alloys, Materials, MDPI AG, 2026, https://doi.org/10.3390/ma19122653
Publisher : MDPI AG
Year : 2025
Digital Twin-Driven SimLean-TRIZ Framework in Cold Room Door Production
Cite this Research Publication : Thenarasu M, Sumesh Arangot, Narassima M S, Olivia McDermott, Arjun Panicker, Digital Twin-Driven SimLean-TRIZ Framework in Cold Room Door Production, Modelling, MDPI AG, 2025, https://doi.org/10.3390/modelling6030067
Publisher : MDPI AG
Year : 2025
Data-driven warehouse design: a decision tree approach with integrated mobile application
Cite this Research Publication : A. Sumesh, P. Raghuram, Sampath Kumar S. Venkata, M. S. Narassima, M. Thenarasu, Olivia McDermott, Roshan M. Venkata, Data-driven warehouse design: a decision tree approach with integrated mobile application, International Journal of Management Science and Engineering Management, Informa UK Limited, 2025, https://doi.org/10.1080/17509653.2025.2523262
Publisher : Informa UK Limited
Year : 2025
Machine learning-based prediction of surface quality and tool performance in the grinding of inconel 800
Cite this Research Publication : Ramdev P. Menon, K. Abhishek, M. Vishnu, T. Satish Kumar, A. Sumesh, Ranjan Kumar Ghadai, Kanak Kalita, Machine learning-based prediction of surface quality and tool performance in the grinding of inconel 800, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-28103-5
Publisher : Springer Science and Business Media LLC
Year : 2025
Reliability assessment of friction stir welds in AA100 aluminium alloy using ANN and ANFIS predictive models
Cite this Research Publication : J. Gokulachandran, A. Sumesh, M. S. Narassima, M. Thenarasu, R. Raghu, Dinu Thomas Thekkuden, Erfan Babaee Tirkolaee, Reliability assessment of friction stir welds in AA100 aluminium alloy using ANN and ANFIS predictive models, Scientific Reports, Springer Science and Business Media LLC, 2025, https://doi.org/10.1038/s41598-025-04694-x
Publisher : Springer Science and Business Media LLC
Year : 2025
Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches
Cite this Research Publication : V M Gautham, A Sumesh, E V Jithin, K Rameshkumar, Dinu Thomas Thekkuden, Evaluation of Time-Domain Acoustic Signature in TIG Welding of 5083 Aluminum Alloy: A Methodological Comparison of Feature Reduction Approaches, Results in Engineering, Elsevier BV, 2025, https://doi.org/10.1016/j.rineng.2025.105062
Publisher : Elsevier BV
Year : 2025
Effect of Nano TiO2 Flux on Depth of Penetration and Mechanical Properties of TIG-Welded SA516 Grade 70 Steel Joints—An Experimental Investigation
Cite this Research Publication : Rakesh Narayanan, Krishnaswamy Rameshkumar, Arangot Sumesh, Balakrishnan Shankar, Dinu Thomas Thekkuden, Effect of Nano TiO2 Flux on Depth of Penetration and Mechanical Properties of TIG-Welded SA516 Grade 70 Steel Joints—An Experimental Investigation, Metals, MDPI AG, 2025, https://doi.org/10.3390/met15040399
Publisher : MDPI AG
Year : 2024
Enhancing the productivity of mould shop using continuous improvement tools and simulation
Cite this Research Publication : M. Thenarasu, S. Sakthi Balaji, A. Sumesh, M.S. Narassima, K. Rameshkumar, Erfan Babaee Tirkolaee, Enhancing the productivity of mould shop using continuous improvement tools and simulation, International Journal of Systems Science: Operations & Logistics, Informa UK Limited, 2024, https://doi.org/10.1080/23302674.2024.2425014
Publisher : Informa UK Limited
Year : 2024
Cryo-Rolled AA5052 Alloy: Insights into Mechanical Properties, Formability, and Microstructure
Cite this Research Publication : Arun Achuthankutty, Rohith Saravanan, Hariesh Nagarajan, Vidyanand Pasunuri, Nishanth Hari Gopal, Ajith Ramesh, Sumesh Arangot, Dinu Thomas Thekkuden, Cryo-Rolled AA5052 Alloy: Insights into Mechanical Properties, Formability, and Microstructure, Journal of Manufacturing and Materials Processing, MDPI AG, 2024, https://doi.org/10.3390/jmmp8060284
Publisher : MDPI AG
Year : 2022
Machine Learning Models for Weld Quality Monitoring in Shielded Metal Arc Welding Process Using Arc Signature Features
Cite this Research Publication : K. Rameshkumar, A. Vignesh, P. Gokula Chandran, V. Kirubakaran, J. Sankaran, A. Sumesh, Machine Learning Models for Weld Quality Monitoring in Shielded Metal
Arc Welding Process Using Arc Signature Features, SAE International Journal of Materials and Manufacturing, SAE International, 2022, https://doi.org/10.4271/05-15-04-0023
Publisher : SAE International
Year : 2022
Instant detection of porosity in gas metal arc welding by using probability density distribution and control chart
Cite this Research Publication : Thekkuden, D. T., Santhakumari, A., Sumesh, A., Mourad, A. H. I., & Rameshkumar, K. (2018). Instant detection of porosity in gas metal arc welding by using probability density distribution and control chart. The International Journal of Advanced Manufacturing Technology, 95(9-12), 4583-4606. (Impact Factor:3.226), Citations: 31
Year : 2022
Machine Learning Models for Weld Quality Monitoring in Shielded Metal Arc Welding Process Using Arc Signature Features
Cite this Research Publication : Rameshkumar, K., Vignesh, A., Chandran, P. G., Kirubakaran, V., Sankaran, J., & Sumesh, A. (2022). Machine learning models for weld quality monitoring in shielded metal arc welding process using arc signature features. SAE International Journal of Materials and Manufacturing, 15(05-15-04-0023). (Impact Factor:0.42 ), Citations: 1
Year : 2020
Tool condition monitoring of cylindrical grinding process using acoustic emission sensor
Cite this Research Publication : Arun, A., Rameshkumar, K., Unnikrishnan, D., & Sumesh, A. (2018). Tool condition monitoring of cylindrical grinding process using acoustic emission sensor. Materials Today: Proceedings, 5(5), 11888-11899. (Impact Factor:1.46 ), Citations: 44
Year : 2020
Study of Mechanical Properties and Weldability of Aluminium Alloy and Stainless steel by Gas Metal Arc Welding
Cite this Research Publication : R. Sachin, A. Sumesh, and Upas, U. S., “Study of Mechanical Properties and Weldability of Aluminium Alloy and Stainless steel by Gas Metal Arc Welding”, Materials Today: Proceedings, vol. 24, pp. 1167–1173, 2020.
Publisher : Materials Today: Proceedings, Elsevier,
Year : 2020
A Computational approach in optimizing process parameters influencing the heat input and Depth of Penetration of Tungsten Inert Gas welding of Austenitic Stainless Steel(AISI 316L) using Response Surface Methodology
Cite this Research Publication : M. John Varkey, A. Sumesh, and K Kumar, R., “A Computational approach in optimizing process parameters influencing the heat input and Depth of Penetration of Tungsten Inert Gas welding of Austenitic Stainless Steel(AISI 316L) using Response Surface Methodology”, International Conference on Advances in Materials and Manufacturing Applications, IConAMMA 2018, 16th -18th August, 2018, India, vol. 24, pp. 1199 - 1209, 2020.
Publisher : International Conference on Advances in Materials and Manufacturing Applications, IConAMMA 2018,
Year : 2020
GMAW Process Parameter Optimization to Reduce Porosity Defect in a Longitudinal Seam Welding of Pressure Vessels
Cite this Research Publication : A. Kuppusamy, K. Ramesh Kumar, A. Sumesh, and Premkumar, S., “GMAW Process Parameter Optimization to Reduce Porosity Defect in a Longitudinal Seam Welding of Pressure Vessels”, SAE Int. J. Mater. Manuf., vol. 13, no. 1, 2020.
Publisher : SAE Int. J. Mater. Manuf.
Year : 2020
Influence of oil injection parameters on the performance of diesel powered screw air compressor for water well application
Cite this Research Publication : K. K. Dhayanandh, K. Ramesh Kumar, A. Sumesh, and Lakshmanan, N., “Influence of oil injection parameters on the performance of diesel powered screw air compressor for water well application”, Measurement, vol. 152, p. 107323, 2020.
Publisher : Measurement
Year : 2018
Modelling and simulation of discrete manufacturing industry
Cite this Research Publication : R. R. Neeraj, R. Nithin, P., Niranjhan, P., A. Sumesh, and M. Thennarasu, “Modelling and simulation of discrete manufacturing industry”, Materials Today: Proceedings, vol. 5, pp. 24971 - 24983, 2018.
Publisher : Materials Today: Proceedings.
Year : 2018
Bottleneck Identification in a Tyre Manufacturing Plant Using Simulation Analysis and Productivity Improvement
Cite this Research Publication : S. Krishnan, A. Dev, S., Suresh, R., A. Sumesh, and K. Ramesh Kumar, “Bottleneck identification in a tyre manufacturing plant using simulation analysis and productivity improvement”, Materials Today: Proceedings, vol. 5, pp. 24720 - 24730, 2018.
Publisher : Materials Today: Proceedings
Year : 2018
Instant Detection of Porosity in gas metal arc welding by using probability density distribution and control chart
Cite this Research Publication : Dinu Thomas Thekkuden, Santhakumari, A., A. Sumesh, Abdel-Hamid I. Mourad, and K. Ramesh Kumar, “Instant Detection of Porosity in gas metal arc welding by using probability density distribution and control chart”, The International Journal of Advanced Manufacturing Technology, vol. 95, no. 9-12 , pp. 4583–4606, 2018.
Publisher : The International Journal of Advanced Manufacturing Technology
Year : 2018
A case study on Simulation and Design optimization to improve Productivity in cooling tower manufacturing industry
Cite this Research Publication : P. R. Nithin, Gopikrishnan, S., and A. Sumesh, “A case study on Simulation and Design optimization to improve Productivity in cooling tower manufacturing industry”, IOP Conference Series: Materials Science and Engineering, vol. 310, 2018.
Publisher : IOP Conference Series: Materials Science and Engineering
Year : 2017
Establishing Correlation Between Current and Voltage Signatures of the Arc and Weld Defects in GMAW Process
Cite this Research Publication : Sumesh, A., Rameshkumar, K., Raja, A., Mohandas, K., Santhakumari, A., & Shyambabu, R. (2017). Establishing correlation between current and voltage signatures of the arc and weld defects in GMAW process. Arabian Journal for Science and Engineering, 42(11), 4649-4665. (Impact Factor:2.334 ), Citations:22
Year : 2016
A Computational approach in optimizing process parameters of GTAW for SA 106 Grade B steel pipes using Response surface methodology
Cite this Research Publication : A. Sumesh, Ramnadh, L. V. Sai, Manish, P., Harnath, V., and Lakshman, V., “A Computational approach in optimizing process parameters of GTAW for SA 106 Grade B steel pipes using Response surface methodology”, IOP Conference Series: Materials Science and Engineering, vol. 149, no. 1-9, p. 012038, 2016.
Publisher : IOP Conference Series: Materials Science and Engineering.
Year : 2015
Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature
Cite this Research Publication : A. Sumesh, K. Ramesh Kumar, Mohandas, K., and R. Babu, S., “Use of Machine Learning Algorithms for Weld Quality Monitoring using Acoustic Signature”, Procedia Computer Science, vol. 50, pp. 316 - 322, 2015.
Publisher : Procedia Computer Science
Year : 2015
Influence of Stick-Slip Effect on Gas Metal Arc Welding
Cite this Research Publication : N. Rajasekaran, Ashidh, K., A Kumari, S., and A. Sumesh, “Influence of Stick-Slip Effect on Gas Metal Arc Welding”, Applied Mechanics and Materials , vol. 813, pp. 438-445, 2015.
Publisher : Applied Mechanics and Materials
Year : 2015
Acoustic Signature Based Weld Quality Monitoring for SMAW Process Using Data Mining Algorithms
Cite this Research Publication : A. Sumesh, Dinu Thomas Thekkuden, Dr. Binoy B. Nair, K. Ramesh Kumar, and K. Mohandas, “Acoustic Signature Based Weld Quality Monitoring for SMAW Process Using Data Mining Algorithms”, Applied Mechanics and Materials , vol. 813-814, pp. 1104-1113, 2015.
Publisher : Trans Tech Publications