RAVI KUMAR KOTTALA

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.
Thermal stability analysis using machine learning by integrating biochar-based phase change materials and graphene for thermal energy storage applications
Ravi Kumar Kottala, Seepana Praveenkumar, Krishna Prakash Arunachalam, Velkin Vladimir Ivanovich
Biomass and Bioenergy, 2026
Experimental investigation to enhance the efficiency of solar photovoltaic (PV) panels by integrating phase change materials and nano-enhanced biochar: A techno-econo-environmental assessment
Hari Banda, Sivan Suresh, Seepana Praveenkumar, Ravi Kumar Kottala, Murali Mohan Seepana
Renewable Energy, 2026
Att-MSR-GraphSAGE: An Attention-Guided Multi-Scale Residual Graph Neural Network for Human-Centric Stress-Factor Modeling
Kiran Kumar Patro, Sidheswar Routray, C. Madan Kumar, Lella Kranthi Kumar, M. Jayamanmadha Rao, Ravi Kumar Kottala
IEEE Access, 2026
Human stress is a complex phenomenon influenced by behavioral, emotional, and contextual factors that interact in a non-linear manner. Regular machine learning (ML) and deep learning (DL) models consider these factors as independent variables, neglecting the inherent relational dependencies among them. This oversight leads to poor generalization and weak interpretability when modeling human-centric stress indicators. This research utilizes Graph Neural Networks (GNNs) to address these challenges, representing stress factors as nodes and their interrelations as edges, thereby facilitating topology-aware learning. The framework begins with a baseline GraphSAGE for localized aggregation and then extended to a Multi-Scale Residual GraphSAGE (MSR-GraphSAGE), which is capable of capturing hierarchical neighborhood information, with residual pathways that alleviating the oversmoothing problems. Finally, a channel-wise attention fusion mechanism is adapted and integrated into the multi-scale GNN embeddings to dynamically recalibrate feature responses across propagation depths, thereby enhancing discriminative representation learning and inter-scale information integration for stress modeling. Experimental results on the Student Stress-Factor Dataset show that our model achieves accuracy of 96.10% and F1-score of 94.21%. The proposed Att-MSR-GraphSAGE demonstrates superior performance compared to the evaluated baseline and residual GNN variants under the same experimental settings on the Student Stress-Factor dataset. To further assess generalizability, cross-dataset validation on the large-scale SWELL-KW database confirms the robustness and scalability of the framework. These results indicate that Att-MSR-GraphSAGE as a technically reliable, interpretable, and human-centric framework for intelligent stress-factor modeling.
Development of a disodium hydrogen phosphate dodecahydrate phase change material by incorporating activated hydro char and boron nitride for thermal energy storage in solar application
Ali Khudhair Knehir, Fiona Elza Correya, Ravi Kumar Kottala, Seepana Praveenkumar, Malini S. Bapat, Deepak Kumar, Vladimir Ivanovich Velkin
Materials Today Communications, 2026
Studies on hydrothermal performance of minichannel heat sinks with MAL-MEPCM slurry: experimental analysis and machine learning modeling
Santhosh Reddy Vuppula, Venkatachalapathy S, Nanda Kishore P.V.R., Ravi Kumar Kottala
Thermal Science and Engineering Progress, 2025
Sustainable Gossypium arboreum biodiesel production using an industrial waste heterogeneous catalyst for RCCI engine applications
Thota S S Bhaskara Rao, Rajayokkiam Manimaran, Prabakaran Sankar, Sheshadri Sreedhara, Ravi Kumar Kottala, Venkataramana Guntreddi
Scientific Reports, 2025
Industrial waste-based catalysts provide a sustainable and cost-efficient solution for biodiesel production, improving yield, quality, and environmental impact. When this biodiesel is used in advanced reactivity-controlled compression ignition (RCCI) mode, it enhances the combustion process within direct injection (DI) diesel engines. These strategies effectively reduce nitrogen oxide (NO x ) emissions and smoke without compromising engine performance. This study used cottonseed ( Gossypium arboreum ) methyl ester (CSME) as the pilot injection fuel. It was produced under optimal conditions of 2 wt% industrial waste dolomite catalyst, an 8:1 methanol-to-oil molar ratio, and heating at 55 °C for 45 min during transesterification through the response surface methodology (RSM) with central composite design (CCD). The catalytic potential of the industrial waste dolomite catalyst is validated through X-ray diffraction (XRD), Fourier-transform infrared spectroscopy (FTIR), and Brunauer-Emmett-Teller (BET) analyses. Next, the n-butanol was injected into the intake manifold of the diesel engine at different energy shares of 10%, 20%, and 30% using an electronic primary fuel injection (EPFI) system in the RCCI mode. The fuel blends of diesel, CSME10 (10% CSME + 90% diesel), CSME20 (20% CSME + 80% diesel), and CSME100 (100% CSME) were tested as single-fuel in conventional mode, and CSME100 + 10% n-butanol, CSME100 + 20% n-butanol, and CSME100 + 30% n-butanol were tested in RCCI mode under variable load settings. Compared to the single-fuel operation, the RCCI combustion mode improved the performance and reduced emissions characteristics for all n-butanol energy shares. Especially, the CSME100 + 30% n-butanol mixture boosts brake thermal efficiency (BTE) by 22.25% and lowers brake specific fuel consumption (BSFC) by 23.33%. The unburnt hydrocarbon (HC) and carbon monoxide (CO) emissions were slightly increased by 28.13% and 27.37%, respectively. Also, the RCCI mode could simultaneously reduce smoke opacity (up to 58.07%) and NO x emission (up to 41%) through lower peak cylinder pressure and heat release rate (HRR) at 18 kg in 100% engine load operation. Based on these analyses, it is suggested that the RCCI mode with n-butanol injection by the EPFI system shows efficient fuel combustion and significantly reduced tailpipe emissions in DI diesel engine applications.
Studies on thermal degradation kinetics and machine learning modeling of hydrochar produced from hydrothermal carbonization of municipal sewage sludge and key lime peel
D. Venkata Padma, Kottala Ravi Kumar, S. V. A. R. Sastry, Praveen Barmavatu
Biomass Conversion and Biorefinery, 2025
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, Seepana Praveenkumar, Pasupureddy Srinivasa Rao
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.
Data-driven approaches to sustainable phase change material selection in latent heat storage systems
K. R. Kumar, R. K. Raghutu, D. Venkata Padma, S. V. A. R. Sastry, R. Hemalatha
International Journal of Energy and Water Resources, 2025
Two phase heat transfer approaches for battery thermal management: Current status, challenges and future outlook
Chong Tak Yaw, Reji Kumar Rajamony, Yasir Ali Bhutto, Balaji Bakthavatchalam, Ravi Kumar Kottala, K. Chopra, Johnny Koh Siaw Paw, Camellia Doroody, Haiter Lenin Allasi, Manzoore Elahi M. Soudagar
Results in Engineering, 2025
Numerical Investigation Using Machine Learning Process Combination of Bio PCM and Solar Salt for Thermal Energy Storage Applications
Ravi Kumar Kottala, Sankaraiah Mogaligunta, Makham Satyanarayana Gupta, Seepana Praveenkumar, Ramakrishna Raghutu, Kiran Kumar Patro, Achanta Sampath Dakshina Murthy, Dharmaiah Gurram
Symmetry, 2025
Synthesis and characterization of high thermal conductive leak resistant phase change material for solar photovoltaic panel cooling applications
B. Hari, S. Suresh, Ravi Kumar Kottala, Seepana Praveenkumar
Journal of Energy Storage, 2025
A complete numerical model for low temperature composite form-stable phase change material slab based on dynamically simplified temperature transforming method
Jinshah B S, Balasubramanian Karuppudayar Ramaraj, Ravi Kumar Kottala, Sivapirakasam S P
Energy Sources Part A Recovery Utilization and Environmental Effects, 2025
Prediction of tensile behaviour of hybrid laser arc welded Inconel 617 alloy using machine learning models
G. Pramod Kumar, K. R. Balasubramanian, Ravi Kumar Kottala, Bharat Kumar Chigilipalli, K. V. Phani Prabhakar
International Journal on Interactive Design and Manufacturing, 2025
Experimental investigation and neural network modeling of binary eutectic/ expanded graphite composites for medium temperature thermal energy storage
Ravi Kumar Kottala, Balasubramanian Karuppudayar Ramaraj, Jinshah B S, Muthya Goud Vempally, Maheswari Lakshmanan
Energy Sources Part A Recovery Utilization and Environmental Effects, 2025
Experimental analysis and optimization of friction welding parameters for joining dissimilar materials through design of experiments
Pilli Neeraja, Ajit Kumar Senapati, Swarnalatha Moora, N. Dhanunjayarao Borra, Ravi Kumar Kottala
International Journal on Interactive Design and Manufacturing, 2025
Precision enhancement in CNC face milling through vibration-aided AI prediction of surface roughness
R. S. Umamaheswara Raju, Ravi Kumar Kottala, B. Madhava Varma, Praveen Barmavatu, Radhamanohar Aepuru
International Journal on Interactive Design and Manufacturing, 2025
Optimization of CNC turning parameters of copper–nickel (Cu–Ni) alloy using VIKOR, MOORA and GRA techniques
Soham Das, Ranjan Kumar Ghadai, Gaurav Sapkota, Spandan Guha, Praveen Barmavatu, Kottala Ravi Kumar
International Journal on Interactive Design and Manufacturing, 2025
An AI-Driven Multi Class Sentiment Analysis in Toxic Comment Classification from Social Media Platforms
Kiran Kumar Patro, V. Hari Prasad, D. Umadevi, Ravi Kumar Kottala, A. Raju, B. Mohan
2025 7th International Conference on Information Systems and Computer Networks Iscon 2025, 2025
Experimental Investigation and Machine Learning Modeling of Tribological Characteristics of AZ31/B4C/GNPs Hybrid Composites
Dhanunjay Kumar Ammisetti, Bharat Kumar Chigilipalli, Baburao Gaddala, Ravi Kumar Kottala, Radhamanohar Aepuru, T. Srinivasa Rao, Seepana Praveenkumar, Ravinder Kumar
Crystals, 2024
Internet of Things and hybrid models-based interpretation systems for surface roughness estimation
R. S. Umamaheswara Raju, Ravi Kumar Kottala, B. Madhava Varma, Palla Krishna, Praveen Barmavatu
Artificial Intelligence for Engineering Design Analysis and Manufacturing AIEDAM, 2024
Fabrication and optimization of acoustic properties of natural fiber reinforced composites
Rapeta Sundara Ramam, Satish Pujari, Bharat Kumar Chigilipalli, Bukke Devaraj Naik, Ravi Kumar Kottala, Venkata Charan Kantumuchu
International Journal on Interactive Design and Manufacturing, 2024
CHARACTERIZATION OF CORROSION BEHAVIOR OF INCONEL 617 WELDED JOINTS USING CMT-GMAW MULTI-CONTROL WELDING
G. PRAMOD KUMAR, K. R. BALASUBRAMANIAN, MURALIMOHAN CHEEPU, RAVI KUMAR KOTTALA
Surface Review and Letters, 2024
Machine Learning Approaches in Metal-Based Additive-Manufactured Wear-Resistant Bioimplants
T Archana Acharya, V Anandakrishnan, Ravi Kumar Kottala, Bharat Kumar Chigilipalli
Tribo Behaviors of Biomaterials and their Applications Fundamentals Recent Advancements and Future Trends, 2024
Experimental investigation and machine learning modelling of phase change material-based receiver tube for natural circulated solar parabolic trough system under various weather conditions
Ravi Kumar Kottala, K. R. Balasubramanian, B. S. Jinshah, S. Divakar, Bharat Kumar Chigilipalli
Journal of Thermal Analysis and Calorimetry, 2023
A Review on Recent Trends and Applications of IoT in Additive Manufacturing
Bharat Kumar Chigilipalli, Teja Karri, Sathish Naidu Chetti, Girish Bhiogade, Ravi Kumar Kottala, Muralimohan Cheepu
Applied System Innovation, 2023
Thermal Degradation Studies and Machine Learning Modelling of Nano-Enhanced Sugar Alcohol-Based Phase Change Materials for Medium Temperature Applications
Ravi Kumar Kottala, Bharat Kumar Chigilipalli, Srinivasnaik Mukuloth, Ragavanantham Shanmugam, Venkata Charan Kantumuchu, Sirisha Bhadrakali Ainapurapu, Muralimohan Cheepu
Energies, 2023
Microstructure and Mechanical Properties of the Bimetallic Wire Arc Additively Manufactured Structure (BAMS) of SS304L and SS308L Fabricated by Hybrid Manufacturing Process
Sirisha Bhadrakali Ainapurapu, Venkata Anantha Ramasastry Devulapalli, Ram Prabhu Theagarajan, Bharat Kumar Chigilipalli, Ravi Kumar Kottala, Muralimohan Cheepu
Transactions of the Indian Institute of Metals, 2023
Preparation and characterisation of binary eutectic phase change material/activated porous bio char/multi walled carbon nano tubes as composite phase change material
Balasubramanian Karuppudayar Ramaraj, Ravi Kumar Kottala
Fullerenes Nanotubes and Carbon Nanostructures, 2023
Experimental study on thermal management and performance improvement of solar PV panel cooling using form stable phase change material
Senthil Kumar Marudaipillai, Balasubramanian Karuppudayar Ramaraj, Ravi Kumar Kottala, Maheswari Lakshmanan
Energy Sources Part A Recovery Utilization and Environmental Effects, 2023
Influence of power step on the behavior of an Open Natural Circulation Loop as applied to a Parabolic Trough Collector
B.S. Jinshah, K.R. Balasubramanian, Ravikumar Kottala, S. Divakar
Renewable Energy, 2022
Characterization of form-stable phase-change material for solar photovoltaic cooling
M. Senthilkumar, K. R. Balasubramanian, Ravi Kumar Kottala, S. P. Sivapirakasam, L. Maheswari
Journal of Thermal Analysis and Calorimetry, 2020
Experimental analysis of phase change material integrated single phase natural circulation loop
Jinshah B.S., Ravi Kumar Kottala, Balasubramanian K. R., Abin Francis
Materials Today Proceedings, 2019
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
Performance evaluation of Titanium nitride coated tool in turning of mild steel
B Srinivas, G Pramod Kumar, Muralimohan Cheepu, N Jagadeesh, K Ravi kumar, S Haribabu
Iop Conference Series Materials Science and Engineering, 2018

RECENT SCHOLAR PUBLICATIONS

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

RAVI KUMAR KOTTALA

EDUCATION

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS