B. Tech (Mechanical Engineering)
M. Tech (Energy Engineering)
Ph. D (Renewable energy and machine learning)
RESEARCH, TEACHING, or OTHER INTERESTS
Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Artificial Intelligence, Materials Science
36
Scopus Publications
743
Scholar Citations
17
Scholar h-index
24
Scholar i10-index
Scopus Publications
Performance and sustainability assessment of green HFO-based refrigerant mixtures for residential air conditioning Nagarjuna Kumma, Ravi kumar kottala, Yatna Bhagat, K. Sai Sarath, S. S. Harish Kruthiventi Environmental Progress and Sustainable Energy, 2026 This study explores environmentally friendly ternary mixture compositions based on Hydrofluoroolefins, which offer promising alternatives to R410a in air‐conditioning applications. European union regulations require that household refrigeration systems utilize refrigerants with low global warming potential. In response to this mandate, the present study investigates the theoretical performance of 14 ternary mixtures. The analysis focuses on key performance parameters, such as coefficient of performance, exergy loss, refrigeration effect, exergetic efficiency, pressure ratio, and actual work input. The study is carried out at an evaporator temperature of 6°C and a condenser temperature of 40°C. The present study results confirmed that coefficient of performance decreases with higher concentrations of diluents like R227ea, R134a, and R125, indicating reduced performance. In contrast, R245fa improves coefficient of performance, enhancing system efficiency. R1234yf/RE170/R227ea mixture exhibited the most significant reduction in exergy losses, particularly within the compressor, condenser, and evaporator, achieving a total exergy loss reduction of 32% relative to R410a. R1234ze€/R161/R227ea mixture demonstrated consistent exergy loss reductions across all components, with a 25% drop at the expansion valve. Overall, it improved system exergetic efficiency by 17% compared to R410a. R1234yf/RE170/R227ea and R1234ze€/R161/R227ea mixtures are recognized as promising non‐flammable alternatives for small air‐conditioning systems, offering zero ozone depletion potential and low global warming potential.
Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B4C/GNPs Hybrid Composites Dhanunjay Kumar Ammisetti, Satya Sai Harish Kruthiventi, Krishna Prakash Arunachalam, Victor Poblete Pulgar, Ravi Kumar Kottala, et al. Crystals, 2025 Magnesium alloys, like AZ31, possess a desirable low weight and high specific strength, which make them favorable for aerospace and auto applications, yet their difficulty to machine limits their broader implementation for the industry. Electrical discharge machining (EDM) is an effective technology for machining difficult-to-machine materials, particularly when the materials are reinforced with ceramic and graphene-based fillers. This study examines the impact of reinforcement percentage (R) and different electrical discharge machining (EDM) parameters such as current (I), pulse on time (Ton) and pulse off time (Toff) on the material removal rate (MRR) and surface roughness (SR) of AZ31/B4C/GNPs composites. The combined reinforcement range varies from 2 wt.% to 4 wt.%. The Taguchi design (L27) is utilized to conduct the experiments in this study. ANOVA of the experimental data indicated that current (I) significantly affects MRR and SR, exhibiting the greatest contribution of 44.93% and 51.39% on MRR and SR, respectively, among the variables analyzed. The surface integrity properties of EDMed surfaces are examined using SEM under both higher and lower material removal rate settings. Diverse machine learning techniques, including linear regression (LR), polynomial regression (PR), Random Forest (RF), and Gradient Boost Regression (GBR), are employed to construct an efficient predictive model for outcome estimation. The built models are trained and evaluated using 80% and 20% of the total data points, respectively. Statistical measures (MSE, RMSE, and R2) are utilized to evaluate the performance of the models. Among all the developed models, GBR exhibited superior performance in predicting MRR and SR, achieving high accuracy (exceeding 92%) and lower error rates compared to the other models evaluated in this work. This work demonstrated the synergy between techniques in optimizing EDM performance for hybrid composites using a statistical design and machine learning strategies that will facilitate greater use of hybrid composites in high-precision engineering applications and advanced manufacturing sectors.
Design and Simulation of Thermoelectric Heat Pump Venkata Sandeep Joga, Sundar R. Nath, K. Ravi Kumar, G. Pramod Kumar, Jayaraj Simon Lecture Notes on Multidisciplinary Industrial Engineering, 2019
Effect of moulding sands on microstructure, mechanical, and wear properties of AA2024 aluminium alloy via CO 2 casting: an experimental study A Dhanunjay Kumar, L Pedro Naranjo, A Krishna Prakash, T Eswara Rao, ... Canadian Metallurgical Quarterly, 1-20 , 2026 2026
Thermal stability analysis using machine learning by integrating biochar-based phase change materials and graphene for thermal energy storage applications RK Kottala, S Praveenkumar, KP Arunachalam, VV Ivanovich Biomass and Bioenergy 207, 108737 , 2026 2026 Citations: 1
Performance and sustainability assessment of green HFO‐based refrigerant mixtures for residential air conditioning N Kumma, RK Kottala, Y Bhagat, KS Sarath, SSH Kruthiventi Environmental Progress & Sustainable Energy, e70411 , 2026 2026
Att-MSR-GraphSAGE: An Attention-Guided Multi-Scale Residual Graph Neural Network for Human-Centric Stress-Factor Modeling KK Patro, S Routray, CM Kumar, LK Kumar, MJ Rao, RK Kottala IEEE Access , 2026 2026
A complete numerical model for low temperature composite form-stable phase change material slab based on dynamically simplified temperature transforming method J BS, BK Ramaraj, RK Kottala, S SP Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47 … , 2025 2025 Citations: 8
Experimental investigation and neural network modeling of binary eutectic/expanded graphite composites for medium temperature thermal energy storage RK Kottala, BK Ramaraj, J BS, MG Vempally, M Lakshmanan Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47 … , 2025 2025 Citations: 25
Development of a disodium hydrogen phosphate dodecahydrate phase change material by incorporating activated hydro char and boron nitride for thermal energy storage in solar … AK Knehir, FE Correya, RK Kottala, S Praveenkumar, MS Bapat, D Kumar, ... Materials Today Communications, 114360 , 2025 2025 Citations: 2
Studies on hydrothermal performance of minichannel heat sinks with MAL-MEPCM slurry: experimental analysis and machine learning modeling VS Reddy, S Venkatachalapathy, PVRN Kishore, KR Kumar Thermal Science and Engineering Progress, 104286 , 2025 2025 Citations: 1
Efficient biosorption of cadmium ions from wastewater using iron oxide–maize shell activated bio-carbon nanocomposites VD Rao, R Raghutu, KS Rao, R Kumar, DV Padma, S Sastry Biomass Conversion and Biorefinery 15 (22), 29067-29078 , 2025 2025 Citations: 5
Sustainable Gossypium arboreum biodiesel production using an industrial waste heterogeneous catalyst for RCCI engine applications TSSB Rao, R Manimaran, P Sankar, S Sreedhara, RK Kottala, ... Scientific Reports 15 (1), 38069 , 2025 2025 Citations: 2
Thermal degradation investigation with machine learning modeling of arachis hypogaea shell derived biochar enhanced phase change material for thermal energy storage AK Knehir, AA Pasha, RK Kottala, KP Arunachalam, S Praveenkumar, ... Case Studies in Thermal Engineering, 107267 , 2025 2025 Citations: 3
Thermal Performance of Erythritol‐Based Biochar Composites for Medium‐Temperature Energy Storage Applications G Suresh Babu, A Saikiran, K Ravi Kumar, C Bharat Kumar, R Raghutu, ... Energy Storage 7 (7), e70276 , 2025 2025
Studies on thermal degradation kinetics and machine learning modeling of hydrochar produced from hydrothermal carbonization of municipal sewage sludge and key lime peel DV Padma, KR Kumar, S Sastry, P Barmavatu Biomass Conversion and Biorefinery 15 (19), 26385-26400 , 2025 2025 Citations: 11
Experimental Investigation and Machine Learning Modeling of Electrical Discharge Machining Characteristics of AZ31/B 4 C/GNP s Hybrid Composites DK Ammisetti, SSH Kruthiventi, KP Arunachalam, VP Pulgar, RK Kottala, ... Crystals 15 (10), 844 , 2025 2025
An AI-Driven Multi Class Sentiment Analysis in Toxic Comment Classification from Social Media Platforms KK Patro, VH Prasad, D Umadevi, RK Kottala, A Raju, B Mohan 2025 7th International Conference on Information Systems and Computer … , 2025 2025
Experimental investigation to enhance the efficiency of solar photovoltaic (PV) panels by integrating phase change materials and nano-enhanced biochar: A techno-econo … H Banda, S Suresh, S Praveenkumar, RK Kottala, MM Seepana Renewable Energy, 124341 , 2025 2025 Citations: 11
Two phase heat transfer approaches for battery thermal management: Current status, challenges and future outlook CT Yaw, RK Rajamony, YA Bhutto, B Bakthavatchalam, RK Kottala, ... Results in Engineering 27, 105749 , 2025 2025 Citations: 13
Data-driven approaches to sustainable phase change material selection in latent heat storage systems KR Kumar, RK Raghutu, D Venkata Padma, S Sastry, R Hemalatha International Journal of Energy and Water Resources 9 (3), 1485-1498 , 2025 2025 Citations: 4
Synthesis and characterization of high thermal conductive leak resistant phase change material for solar photovoltaic panel cooling applications B Hari, S Suresh, RK Kottala, S Praveenkumar Journal of Energy Storage 122, 116656 , 2025 2025 Citations: 18
Numerical Investigation Using Machine Learning Process Combination of Bio PCM and Solar Salt for Thermal Energy Storage Applications RK Kottala, S Mogaligunta, MS Gupta, S Praveenkumar, R Raghutu, ... Symmetry 17 (7), 998 , 2025 2025 Citations: 2
MOST CITED SCHOLAR PUBLICATIONS
Experimental study on thermal management and performance improvement of solar PV panel cooling using form stable phase change material M Marudaipillai. S. K, Karuppudayar Ramaraj, B., Kottala, R.K. and Lakshmanan Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 1-18 , 2020 2020 Citations: 77
Microstructure Characterization of Al-TiC Surface Composite Fabricated by Friction Stir Processing SJ Apireddi Shiva, Muralimohan Cheepu, Venkata Charan Kantumuchu, K Ravi ... IOP Conf. Series: Materials Science and Engineering 330 (012060) , 2018 2018 Citations: 53
Characterization of form-stable phase-change material for solar photovoltaic cooling: M. Senthil Kumar et al. M Senthilkumar, KR Balasubramanian, RK Kottala, SP Sivapirakasam, ... Journal of Thermal Analysis and Calorimetry 141 (6), 2487-2496 , 2020 2020 Citations: 47
A review on recent trends and applications of IoT in additive manufacturing BK Chigilipalli, T Karri, SN Chetti, G Bhiogade, RK Kottala, M Cheepu Applied system innovation 6 (2), 50 , 2023 2023 Citations: 42
Thermal degradation studies and machine learning modelling of nano-enhanced sugar alcohol-based phase change materials for medium temperature applications RK Kottala, BK Chigilipalli, S Mukuloth, R Shanmugam, VC Kantumuchu, ... Energies 16 (5), 2187 , 2023 2023 Citations: 40
Experimental investigation of nano-encapsulated molten salt for medium-temperature thermal storage systems and modeling of neural networks KR Kumar, KR Balasubramanian, GP Kumar, C Bharat Kumar, ... International Journal of Thermophysics 43 (9), 145 , 2022 2022 Citations: 38
ANN and RSM models approach for optimization of HVOF coating R Shankar, KR Balasubramanian, SP Sivapirakasam, K Ravikumar Materials Today: Proceedings 46, 9201-9206 , 2021 2021 Citations: 38
Experimental analysis and neural network model of MWCNTs enhanced phase change materials K Ravi Kumar, KR Balasubramanian, BS Jinshah, N Abhishek International Journal of Thermophysics 43 (1), 11 , 2022 2022 Citations: 36
Comparative study on the thermal performance of microencapsulated phase change material slurry in tortuous geometry microchannel heat sink RJ Peter, KR Balasubramanian, KR Kumar Applied Thermal Engineering 218, 119328 , 2023 2023 Citations: 26
Preparation and characterisation of binary eutectic phase change material/activated porous bio char/multi walled carbon nano tubes as composite phase change material BK Ramaraj, RK Kottala Fullerenes, Nanotubes and Carbon Nanostructures 31 (1), 75-89 , 2023 2023 Citations: 26
Experimental investigation and neural network modeling of binary eutectic/expanded graphite composites for medium temperature thermal energy storage RK Kottala, BK Ramaraj, J BS, MG Vempally, M Lakshmanan Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 47 … , 2025 2025 Citations: 25
Experimental investigation and machine learning modelling of phase change material-based receiver tube for natural circulated solar parabolic trough system under various … RK Kottala, KR Balasubramanian, BS Jinshah, S Divakar, BK Chigilipalli Journal of Thermal Analysis and Calorimetry 148 (14), 7101-7124 , 2023 2023 Citations: 25
Thermal degradation studies and hybrid neural network modelling of eutectic phase change material composites KR Balasubramanian, K Ravi Kumar, SP Sathiya Prabhakaran, ... International Journal of Energy Research 46 (11), 15733-15755 , 2022 2022 Citations: 23
Microstructure and mechanical properties of the bimetallic wire arc additively manufactured structure (BAMS) of SS304L and SS308L fabricated by hybrid manufacturing process SB Ainapurapu, VAR Devulapalli, RP Theagarajan, BK Chigilipalli, ... Transactions of the Indian Institute of Metals 76 (2), 419-426 , 2023 2023 Citations: 20
Synthesis and characterization of high thermal conductive leak resistant phase change material for solar photovoltaic panel cooling applications B Hari, S Suresh, RK Kottala, S Praveenkumar Journal of Energy Storage 122, 116656 , 2025 2025 Citations: 18
Influence of power step on the behavior of an open natural circulation loop as applied to a parabolic trough collector BS Jinshah, KR Balasubramanian, R Kottala, S Divakar Renewable Energy 181, 1046-1061 , 2022 2022 Citations: 18
Machine learning based surface roughness assessment via CNC spindle bearing vibration RS Umamaheswara Raju, K Ravi Kumar, K Vargish, M Bharath Kumar International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (1 … , 2025 2025 Citations: 17
Optimization of CNC turning parameters of copper–nickel (Cu–Ni) alloy using VIKOR, MOORA and GRA techniques S Das, RK Ghadai, G Sapkota, S Guha, P Barmavatu, KR Kumar International Journal on Interactive Design and Manufacturing (IJIDeM) 19 (1 … , 2025 2025 Citations: 14
Two phase heat transfer approaches for battery thermal management: Current status, challenges and future outlook CT Yaw, RK Rajamony, YA Bhutto, B Bakthavatchalam, RK Kottala, ... Results in Engineering 27, 105749 , 2025 2025 Citations: 13
Thermal and hydraulic characteristics of a parabolic trough collector based on an open natural circulation loop: The effect of fluctuations in solar irradiance KR Balasubramanian, BS Jinshah, K Ravikumar, S Divakar Sustainable Energy Technologies and Assessments 52, 102290 , 2022 2022 Citations: 12