Name : Dr. K. Karthik
Designation : Assistant Professor
Email ID : karthikmeed@
Mobile : +91 8124400431
Contact at : TTS2103, Assistant Professor,
Department of Mechanical Engineering,
Vel Tech Rangarajan Dr Sagunthala R&D Institute of Sci& Tech.
400 feet Outer Ring Road, Avadi, Chennai - 600 062.TN. India.
EDUCATION
Ph.D. Mechanical Engineering
M.E Engineering Design
RESEARCH INTERESTS
Additive Manufacturing, Nano Composite materials, Materials and machining
FUTURE PROJECTS
Hybrid Nanocomposite
Applications Invited
127
Scopus Publications
Scopus Publications
Catalytic Microwave Pyrolysis of Plastic Waste for Hydrogen and Nanocarbons K. Karthik, Viyat Varun Upadhyay, Puppala Satyavathi, Frederick Sidney Correa, Saravanan Arumugam, Jagtej Singh, Shree Jayaram Kalyanaraman, Ramya Maranan, Anand Rajendran, R. Venkatesh Chemical Engineering and Technology, 2026 Microwave‐assisted pyrolysis offers a promising route for converting plastic waste into hydrogen‐rich gas and carbon nanomaterials. This review examines hydrogen evolution, carbon‐forming pathways, catalyst functions, absorber‐support interactions, and reactor constraints in microwave systems. It also assesses process parameters, localized heating, field nonuniformity, and scale‐up challenges. Overall, the process supports circular plastic valorization, but practical deployment depends on catalyst stability, realistic handling of mixed feeds, and transparent techno‐economic and environmental evaluation.
Innovations at the Intersection of Generative Design and Additive Manufacturing: Trends, Challenges, and Future Directions K. Karthik, Ramesh Kumar R, S. Balaguru EPJ Web of Conferences, 2026 The contributions of generative design and additive manufacture will be enormous to innovations in the field of modern engineering and industrial applications. A literature survey of recently published papers to understand major advances in deep learning applications, manufacturing optimization, and industry-derived implementations is presented by the current paper. Besides, it depicts significant progress in two domains of stress-driven generative design for lattice structures and real-time process simulation through digital twins to be developed along with manufacturing aware algorithms. This work points to an increasing direction of the generative design method towards sustainability and bio-inspired approaches. Besides, the study discussed coyote issues in standardization, reliability assessment, and mass production implementations. Hence, this review will be a great source of information for the researchers and the practitioners and also serve as an opening of new and promising research avenues in generative design for additive manufacturing.
Deep Learning-Based Early Detection of Autism in Children Mandava Venudhar, K. Karthik, Sankar Ganesh Karuppasamy, Sajeev Ram Arumugam, V Jaganraja, T M Sivanesan Proceedings of 8th International Conference on Intelligent Sustainable Systems Iciss 2026, 2026 This paper presents an intelligent framework of early detection of Autism Spectrum Disorder (ASD) in children based on their facial pictures on the deep-learning approach. The proposed procedure will utilize the AFID-ASD 2025 data which will consist of labeled face photographs which will be categorized into the autistic and non-autistic groups. These images form model training and validation. Full preprocessing pipeline is employed in model learning and it is composed of image resizing, normalization and enhancement. It may improve generalization of models, decreases overfitting, and performance on change of light conditions, changes in facial expression. Good predictive performance is achieved by using three neural network architectures i.e. custom Convolutional Neural Network (CNN), EfficientNetB0 and MobileNetV2. The CNN can extract low level visual features such as contours and edges as opposed to the EfficientNetB0, which extracts high level and abstract facial features relating to autism characteristics. MobileNetV2 takes it one step further since it also trains fine-grained features of the face with a small and computationally less-intensive architecture. The models provide a classification score in itself which indicates the likelihood of a child to have autism. An integrated strategy is then adopted to integrate the outputs of individual models and results to a process of making sound and proper decisions. The ensemble mechanism removes the probability of misclassification basing on relying on a single model as the complementary representations of features are merged. The effectiveness of the proposed system is calculated based on the common parameters of evaluation, which confirms that it can become a useful tool in the process of screening the autism process, because of the analysis of facial images.
Effect of cryo-rolling with annealing treatment on microstructure and mechanical properties of AZ31B alloy R. Sankar, C. Rathinasuriyan, K. Karthik, N.S. Senthur, Anjani Devi Sanipina, Choon Kit Chan, Tang Yan Advances in Science and Technology Research Journal, 2026 Magnesium alloy is used in many different fields, but it is most common in the marine, and aerospace fields.The alloy is not used very much, though, because its mechanical properties are not good enough because of its coarse grain structure.The primary technique utilized to enhance the strength and hardness of a metal whereas maintaining its ideal ductility is cryo-rolling.This study seeks to investigate the utilization of cryo-rolling and annealing techniques to improve the mechanical and microstructural properties of the AZ31B alloy.During the experiment, cryo-rolling was done in two separate passes: 10 and 15 passes.Vickers hardness testers and tensile tests were used to test the AZ31B alloy after it had been cryo-rolled and annealed.The cryo-rolled sample was 28% harder than the basic material.After 15 passes, the cryo-rolled materials had a finer and more uniform grain structure.Cryo-rolling and then annealing the AZ31B alloy made it more flexible in terms of its mechanical properties.
Exhaust manifold performance enhancement using nano fluids a design and CFD investigation for four stroke petrol engines R. Ramesh Kumar, K. Karthik, P. V. Elumalai, Nambiraj Masilamani, A. Saikumar, Aschalew Cherie Scientific Reports, 2025 This paper presents a trivial approach in which the temperature of the exhaust manifold decreases due to the changes in the fuel composition. The authors have defined Nano fluids as a modern class of fluids that consist of suspended solid Nanoparticles in fluids. Also, they have shown that noise reduction is possible with Nano fluids. Using Computational Fluid Dynamics (CFD) simulation technique, optimal designs are generated and analyzed to assess their ability to withstand different loads. For this particular process, the 4-cylinder engine exhaust manifold having 4 inlet ports and 1 outlet port was selected. This approach makes the design process more efficient and vibrational sources less powerful. Besides, petrol engines using Nano fluids have been reported to perform better. This study is on the performance improvement on exhaust manifolds using Nano fluids in four-stroke petrol engines. Key findings include a 13.5% drop in noise and better thermal management with aluminum oxide Nano fluids. CFD simulation validated these findings, showing a significant reduction in temperature and vibration level. It indicates the potential available from Nano fluids toward increasing engine efficiency and durability against emission. Advanced materials and innovative designs have been incorporated into this study to construct reality in taking these improvement promises closer for future automobile developments.
Enhancing CdTe solar cell performance via znte/cu back contact optimization R. Venkatesh, Viyat Varun Upadhyay, N. Naga Bhooshanam, Vinayagam Mohanavel, K. Karthik, Manikandan Ayyar, Manickam Ravichandran, Manzoore Elahi M. Soudagar, A. H. Seikh Applied Physics A Materials Science and Processing, 2025
Reinforcement Learning for Autonomous Systems Vinston Raja R, C. Mary Subitha Jenefer, S. Rukmani Devi, Tatiraju.V. Rajanikanth, J. Bhavana, K Karthik Proceedings of 2025 10th International Conference on Science Technology Engineering and Mathematics Iconstem 2025, 2025
Automatic Door Closure System Based on Lighting Conditions P. Gandhimathi, S. Diwakaran, Madhu. B, N Rajesh Kumar, Shailendra Kumar Bohidar, K. Karthik 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2024, 2024
Effect of silicon carbide on single lap joint glass fibre reinforced polymer matrix composite International Journal of Mechanical Engineering and Technology, 2018
Design and fabrication of pantograph mechanism J. Thamilarasan et al., J. Thamilarasan et al., and International Journal of Mechanical and Production Engineering Research and Development, 2018
Study of mechanical properties on polymer matrix composite materials International Journal of Mechanical and Production Engineering Research and Development, 2018
Forced vibration and dynamic characteristic of hybrid polymer matrix composites International Journal of Mechanical and Production Engineering Research and Development, 2018
Design and analysis of solar water heater using CFD International Journal of Mechanical and Production Engineering Research and Development, 2018
Design and analysis of plastics gear for heavy duty applications by fea method International Journal of Mechanical Engineering and Technology, 2017
Experimental investigation of hybrid polymer matrix composite for free vibration test International Journal of Mechanical Engineering and Technology, 2017
Vibration reduction in automobiles using electromagnetic suspension system International Journal of Mechanical Engineering and Technology, 2017
Design and analys of knuckle streering using finite element analysis International Journal of Mechanical Engineering and Technology, 2017
Vibration damping characteristics of cantilever beam using piezoelectric actuator International Journal of Mechanical Engineering and Technology, 2017
Study of structural optimization on reconfigurable machinetool International Journal of Mechanical Engineering and Technology, 2017
Design and thermal analysis of stirling engine using industrial applications of ceramic material International Journal of Mechanical Engineering and Technology, 2017
Experimental investigation of polymer matrix composite for heat distortion temperature test International Journal of Mechanical Engineering and Technology, 2017
Design and analysis of naca4420 wind turbine aerofoil using cfd International Journal of Mechanical Engineering and Technology, 2017
Tribological characteristics of carbon-epoxy with ceramic particles composites for centrifugal pump bearing application International Journal of Chemtech Research, 2015
Vibration damping characteristics of hybrid polymer matrix composite International Journal of Mechanical and Mechatronics Engineering, 2015
Mechanical properties of carbon-epoxy with ceramic particles on composite International Journal of Applied Engineering Research, 2015
Power generated by using dynamic shock absorber for automobile system International Journal of Applied Engineering Research, 2015