Dr. Harinadh Vemanaboina is an individual with a intense research background in Mechanical Engineering. Currently working as an Associate Professor in the Department of Mechanical Engineering, VEMU Institute of Technology, Chittoor, Andhra Pradesh. He has 14+ years of Research and Teaching experience. He handled various academic roles as Head of the Department and Chairman of the board of studies for implementing the new curriculum. His area of research is Welding Technology (Simulation, experimental Conventional and Laser processes), Additive Manufacturing (SLM), Internet of Things (IoT) and Optimization of Process parameters. He received University Teacher Award-2025 under Engineering Category. He is also a guest editor for AIP proceedings (Scopus, WoS Indexed) for ICSMSM-2022, ICCTSM-2024, and ICASMMT-2024. He is a potential reviewer in Elsevier, Springer, Wiley and SAGE publications. Having h-index of 15+, 3 books, 2 Book Chapters, 4 patents, and 70+ international Journal publicati
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Metals and Alloys, Mechanical Engineering
Mechanical properties of CO2laser beam butt-welded plates of Hastelloy c-276 Harinadh Vemanaboina, Krishnamohan Reddy Kunduru, Panchagnula Kishore Kumar, R Raman Goud, G Harinath Gowd Proceedings of the Institution of Mechanical Engineers Part E Journal of Process Mechanical Engineering, 2026 In the current investigation, thermo-mechanical analysis is carried out for Hastelloy C-276 using laser beam welded butt joints. The Gaussian heat source model is used for transient thermal analysis, and the maximum temperature at the weld area resulted in residual stresses within safe limits. To validate, the experimentation was carried out with CO2 Laser beam welding using an L4 orthogonal array. Sample 2 had the least-residual stresses in the weldment, and the mechanical and metallurgical properties studies were carried out. The residual stress distribution was measured using X-ray diffraction and was acceptable within the yield limits of the material. Finite Element Analysis (FEA) and experimental residual stresses were compared; the FOS was 2.088, and the remaining samples were more than 2.0 compared to the base material tensile strength. Tensile tests confirmed that the strength of the weld zone is higher than that of the parent metals.
Experimental research of a diesel engine driven in dual fuel mode with Acacia biodiesel P Jaya Prakash, G Harinath Gowd, Peram Laxmireddy, K Ch Gnana Prakasam, Harinadh Vemanaboina, Prabhu Paramasivam, Leliso Hobicho Dabelo International Journal of Low Carbon Technologies, 2026 The present study examines the performance, combustion, and emission characteristics of a single-cylinder diesel engine operating in dual-fuel mode using 100% Acacia biodiesel with hydrogen (H₂) induction at 5%, 10%, and 15% energy shares. Experiments were conducted at 1500 rpm under varying loads. Results show that H₂ enhances combustion by improving flame speed and mixture homogeneity. At 15% H₂ share, brake thermal efficiency increased by 13.04% and brake specific energy consumption decreased by 26.31%, while CO, HC, and smoke emissions were reduced. However, NOx emissions increased due to higher in-cylinder temperatures, indicating a trade-off between efficiency and NOx formation.
Thermal–Solutal Dynamics Between Rotating Disks in Bio-Stabilised ZnO Hybrid Nanofluids: Coupled FEM and Neural Network Analysis Kotike Jyothi, Vikram Maditham, Ganapati Ramavat, Harinadh Vemanaboina, M.V.V.P. Kantipudi International Journal of Heat and Technology, 2025 The paper is based on the demand for sustainable and high-performance thermal fluids through the analysis of the properties of heat and mass transfer of a green hybrid nanofluid, Aloe vera extract-stabilised ZnO nanoparticles in water, operating between two coaxial parallel rotating disks.Those two nonlinear governing equations coupled with magnetohydrodynamic terms and thermal radiation ones are solved numerically by the Galerkin-based finite element method (FEM) with the use of Mathematica.The modified mixture models are developed to take into consideration the effects of bio-surfactant stabilisation on the effective thermophysical properties.To further elaborate on the numerical simulations, a feedforward artificial neural network that has been trained on the Levenberg-Marquardt algorithm in MATLAB is created to extrapolate the wall shear stress, Nusselt number, and Sherwood number to a variety of nanoparticle concentrations, magnetic field intensities, and disk rotation rates.The findings indicate that there is strong transport asymmetry between the disks: The rise in angular velocity substantially improves the heat transfer and inhibits the solutal boundary layer in the upper disk and the mass transfer in the lower disk is stronger in the lower disk as a result of the momentum confinement.Enhancement of heat transfer is mostly conditioned by the nanoparticle loading in the upper disk, but the mass transfer enhancement is prevalent in the lower disk.The ANN surrogate has strong predictive capability, well able to capture disk-specific transport behaviour, and can be used to provide a parametric evaluation quickly.These results demonstrate the possibility of Aloe vera-ZnO/water nanofluids as a thermal working fluid that is environmentally friendly and can be used in rotating machinery, bioreactors, and disk-based heat and mass transfer.
Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization Sudhakar Uppalapati, Prabhu Paramasivam, Naveen Kilari, Jasgurpreet Singh Chohan, Praveen Kumar Kanti, Harinadh Vemanaboina, Leliso Hobicho Dabelo, Rupesh Gupta Scientific Reports, 2025 Waste-to-energy conversion via pyrolysis has attracted increasing attention recently owing to its multiple uses. Among the products of this process, biochar stands out for its versatility, with its yield influenced by various factors. Extensive and labor-intensive experimental testing is sometimes necessary to properly grasp the output distribution from various feedstocks. Nonetheless, data-driven predictive models using large-scale historical experiment records can provide insightful analysis of projected yields from a variety of biomass materials, hence overcoming the challenges of empirical modeling. As such, five modern approaches available in modern machine learning are employed in this study to develop the biochar yield prediction models. The Lasso regression, Tweedie regression, random forest, XGBoost, and Gradient boosting regression were employed. Out of these five XGBoost was superior with a training mean squared error (MSE) of 1.17 and a test MSE of 2.94. The XGBoost-based biochar yield model shows excellent performance with a strong predictive accuracy of the R2 values as 0.9739 (training) and 0.8875 (test). The mean absolute percentage error value was only 2.14% in the training phase and 3.8% in the testing phase. Precision prognostic technologies have broad effects on sectors including biomass logistics, conversion technologies, and effective biomass utilization as renewable energy. Leveraging SHAP based on cooperative game theory, the study shows that while ash and moisture lower biochar yield, FPT, nitrogen, and carbon content significantly boost it. Small variables like heating rate and volatile matter have a secondary impact on production efficiency.
Microstructure analysis of SS316L using Selective Laser Melting Chityala Prathyusha, S P Jani, Sudhakar Uppalapati, K. V Raghavulu, K. Lakshmi Kala, C. Ahilan, Ashish Kumar, Rakesh Chandrashekar, Harinadh Vemanaboina Journal of Physics Conference Series, 2024
Modelling and analysis of disc brake rotor Challa Vijaya Bhasker Reddy, A. R. Babu, S. Arun Saco, C. Uma Maheswari, R. Rajesh, Harinadh Vemanaboina Aip Conference Proceedings, 2023
Finite Element Thermal Simulation and Experimental Study of Laser Beam Welded Hastelloy X Joints G Sathishkumar, H Vemanaboina, SS Murugan, P Sathiya, ... Journal of Materials Engineering and Performance, 1-18 , 2026 2026
Computational Techniques and Smart Manufacturing P Ferro, H Vemanaboina, C Prakash CRC Press , 2026 2026 Citations: 2
Microstructure, Residual Stresses, and Wear Behavior of SS316L and H13 Parts Manufactured by Laser Powder Bed Fusion Process KV Raghavulu, JS Panchagnula, CU Kiran, SR Chemarthi, A Padamurthy, ... Lasers in Manufacturing and Materials Processing, 1-22 , 2026 2026
Mechanical properties of CO 2 laser beam butt-welded plates of Hastelloy c-276 H Vemanaboina, KR Kunduru, PK Kumar, RR Goud, GH Gowd Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2026 2026 Citations: 17
Experimental research of a diesel engine driven in dual fuel mode with Acacia biodiesel PJ Prakash, GH Gowd, P Laxmireddy, KCG Prakasam, H Vemanaboina, ... International Journal of Low-Carbon Technologies 21, 1-12 , 2026 2026
Thermal–Solutal Dynamics Between Rotating Disks in Bio-Stabilised ZnO Hybrid Nanofluids: Coupled FEM and Neural Network Analysis. K Jyothi, V Maditham, G Ramavat, H Vemanaboina, MVV Kantipudi International Journal of Heat & Technology 43 (6) , 2025 2025
Prediction of residual stresses and distortion in GTA welding process using machine learning techniques B Gayatry, KS Reddy, T Haripriya, YR Kumar, H Vemanaboina, ... Applications of AI in Smart Technologies and Manufacturing, 66-72 , 2025 2025
Residual Stresses, Microstructure, and Mechanical Properties of Laser Beam Butt-Welded Dissimilar Joints of SS321 to Hastelloy C276 H Vemanaboina, S Uppalapati, E Gundabattini, C Prakash, P Ferro, ... Journal of Materials Engineering and Performance, 1-11 , 2025 2025
Preface: International Conference on Advancements in Sustainable Energy, Materials, and Manufacturing Technology (ICASMMT-2024) B Yelamasetti, T Sonar, H Choon-Yian, R G, M Cheepu, H Vemanaboina AIP Conference Proceedings 3342 (1), 010001 , 2025 2025
Building Enhanced Neural Network Models to Predict Energy Storage Density of Composite Materials for Low-Temperature Thermochemical Energy Storage HV Nemalikanti Anand, Sudhakar Uppalapati, Ankammarao Padamurthy ... Journal of Energy Resources Technology, Part A: Sustainable and Renewable … , 2025 2025 Citations: 25
Modeling and experimental comparison of residual stresses and microstructure in UNS S32507 welds using Gas Tungsten Arc and Laser Beam Welding processes GSP Rao, PJ Sharma, S Akella, H Vemanaboina, J Singh, ... Journal of Materials Research and Technology , 2025 2025 Citations: 3
Residual stresses and microstructure analysis of SS316L impeller part using selective laser melting: simulation and experimental validation K Veera Raghavulu, PJ Sharma, PK Kumar, N Gangisetty, ... International Journal on Interactive Design and Manufacturing (IJIDeM), 1-12 , 2025 2025 Citations: 4
Thermally induced residual stresses in SS321 welded joints using CO2 laser beam: FEA and experimental study S Uppalapati, JS Panchagnula, H Vemanaboina, P Paramasivam, ... AIP Advances 15 (6) , 2025 2025 Citations: 5
Virtual Prédiction of Residual Stresses in Laser Welding Process Using Machine Learning Technique an Industry 4.0 Approach SK Vikram. M, Sudhakar Uppalapati, Ashok Battula, Srinivasa Babu Kasturi ... Journal Européen des Systèmes Automatisés 58 (5), 983-990 , 2025 2025 Citations: 27
Mechanical and metallurgical behavior of ER4043-AlN composite by wire arc additive manufactured S Uppalapati, R Kumar, H Vemanaboina, P Paramasivam, AG Ayanie AIP Advances 15 (5) , 2025 2025 Citations: 5
RETRACTED ARTICLE: Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization S Uppalapati, P Paramasivam, N Kilari, JS Chohan, PK Kanti, ... Scientific Reports 15 (1), 7105 , 2025 2025 Citations: 53
Thermal and Mechanical Analysis of C-276 Alloy Using CO 2 Laser Beam Welding Process H Vemanaboina, B Yelamasetti, JS Panchagnula, N Kilari, C Prakash, ... Transactions of the Indian Institute of Metals 78 (2), 50 , 2025 2025 Citations: 11
Emerging trends and future prospects of thermochemical energy storage systems for building space and water heating applications A Padamurthy, PK Gandla, A Sheelwant, H Vemanaboina, ... International Journal of Energy Research 2025 (1), 6685290 , 2025 2025 Citations: 14
Investigating the performance and emission characteristics of sunflower biodiesel blends with n-butyl and isopropyl alcohol additives AK Muhammed, J Joseph, B Yelamasetti, H Vemanaboina, ... AIP Advances 15 (1) , 2025 2025 Citations: 2
Microstructure and mechanical analysis of SS321 in CO2 laser beam welding joint B Yelamasetti, JS Panchagnula, A Padamurthy, H Vemanaboina, ... The International Journal of Advanced Manufacturing Technology 135 (11 … , 2024 2024 Citations: 8
MOST CITED SCHOLAR PUBLICATIONS
Welding process simulation model for temperature and residual stress analysis H Vemanaboina, S Akella, RK Buddu Procedia materials science 6, 1539-1546 , 2014 2014 Citations: 86
Evaluation of residual stresses in CO 2 laser beam welding of SS316L weldments using FEA H Vemanaboina, MM Babu, IC Prerana, E Gundabattini, B Yelamasetti, ... Materials Research Express 10 (1), 016509 , 2023 2023 Citations: 72
RETRACTED ARTICLE: Precision biochar yield forecasting employing random forest and XGBoost with Taylor diagram visualization S Uppalapati, P Paramasivam, N Kilari, JS Chohan, PK Kanti, ... Scientific Reports 15 (1), 7105 , 2025 2025 Citations: 53
Prediction of thermal and residual stress distributions in SS304 materials for nuclear application using finite element analysis H Vemanaboina, S Akella, RK Buddu, B Yelamasetti, MB Matam, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (9 … , 2024 2024 Citations: 47
Analysis of thermal stresses and its effect in the multipass welding process of SS316L H Vemanaboina, S Akella, AC Uma Maheshwer Rao, E Gundabattini, ... Proceedings of the Institution of Mechanical Engineers, Part E: Journal of … , 2021 2021 Citations: 45
Comparison of metallurgical and mechanical properties of dissimilar joint of AISI 316 and Monel 400 developed by pulsed and constant current gas tungsten arc welding processes B Yelamasetti, R G, VR G, SB B, H Vemanaboina The International Journal of Advanced Manufacturing Technology 108 (7), 2633 … , 2020 2020 Citations: 42
A Welding simulation of Dissimilar materials SS304 and Copper MS Akella, MV Harinadh, MY Krishna, MRK Buddu Procedia Materials Science 5, 2440-2449 , 2014 2014 Citations: 34
Multipass welding on inconel material with pulsed current gas tungsten arc welding V Harinadh, G Edison, S Akella, LS Reddy, RK Buddu Materials Today: Proceedings 4 (2), 1452-1458 , 2017 2017 Citations: 32
Weld bead temperature and residual stresses evaluations in multipass dissimilar INCONEL625 and SS316L by GTAW using IR thermography and x-ray diffraction techniques H Vemanaboina, G Edison, S Akella Materials Research Express 6 (9), 0965a9 , 2019 2019 Citations: 31
Minimizing distortion in multi-pass GTAW welding of SS316L structures: a Taguchi approach KS Reddy, H Vemanaboina, BVV Naidu, B Yelamasetti, P Bridjesh, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (6 … , 2024 2024 Citations: 29
Mechanical and Metallurgical Properties of CO 2 Laser Beam INCONEL 625 Welded Joints H Vemanaboina, E Gundabattini, S Akella, ACUM Rao, RK Buddu, ... Applied Sciences 11 (15), 7002 , 2021 2021 Citations: 28
Virtual Prédiction of Residual Stresses in Laser Welding Process Using Machine Learning Technique an Industry 4.0 Approach SK Vikram. M, Sudhakar Uppalapati, Ashok Battula, Srinivasa Babu Kasturi ... Journal Européen des Systèmes Automatisés 58 (5), 983-990 , 2025 2025 Citations: 27
Effect of residual stresses of GTA welding for dissimilar materials H Vemanaboina, G Edison, S Akella Materials Research 21, e20171053 , 2018 2018 Citations: 27
Building Enhanced Neural Network Models to Predict Energy Storage Density of Composite Materials for Low-Temperature Thermochemical Energy Storage HV Nemalikanti Anand, Sudhakar Uppalapati, Ankammarao Padamurthy ... Journal of Energy Resources Technology, Part A: Sustainable and Renewable … , 2025 2025 Citations: 25
Welding characteristics of butt-welded Inconel625 plate using CO2 laser beam H Vemanaboina, GG Naidu, GV Kumar, DR Reddy Materials Today: Proceedings 19, 859-863 , 2019 2019 Citations: 22
Thermal Analysis Simulation for Laser Butt Welding of Inconel625 Using FEA RKB Harinadh Vemanaboina, G. Edison, Suresh Akella International Journal of Engineering & Technology 7 (10), 85-89 , 2018 2018 Citations: 21
Distortion control in multi pass dissimilar GTAW process using Taguchi ANOVA analysis SA Harinadh Vemanaboina, Gundabattini Edison International Journal of Engineering & Technology 7 (3), 1140-1144 , 2018 2018 Citations: 20
Analysis of residual stress in SS321 laser butt-welded plates using finite element analysis P Arroju, KK Panchagnula, P Saritha, MMR Nune, K Madhura, JS Kumar, ... International Journal on Interactive Design and Manufacturing (IJIDeM) 18 (5 … , 2024 2024 Citations: 19
FEA comparative studies on heat flux and thermal stress analysis during conduction mode and keyhole mode in the laser beam welding H Vemanaboina, S Akella, RK Buddu Light Weight Materials: Processing and Characterization, 143-157 , 2022 2022 Citations: 19
Effect of heat input on distortions and residual stresses induced by gas tungsten arc welding in SS 316L to INCONEL625 multipass dissimilar welded joints H Vemanaboina, B Sridhar Babu, E Gundabattini, P Ferro, K Kumar Advances in Materials Science and Engineering 2021 (1), 1028461 , 2021 2021 Citations: 19
