Bikkavolu Joga Rao

@giet.ac.in

Associate Professor, Mechanical Engineering Department.
Godavari Institute of Engineering & Technology

Bikkavolu Joga Rao


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https://researchid.co/bjogarao
Dr. B. Joga Rao, is an Associate Professor in the Department-ME, GIET(A), Rjy. He received M.Tech from NIT-Trichy in 2010 and Ph.D from GITAM University, Visakhapatnam in Feb-2025. He has 14 Years of Teaching experience, which includes 4 years of research. He published 20 research articles in reputed Journals (Q1&Q2), 2 books, and filed 2 patents. His works in Energy, Hydrogen, Nano fuels, Nano Lubricants, overall engine performance, and Emission reduction techniques.

RESEARCH, TEACHING, or OTHER INTERESTS

Renewable Energy, Sustainability and the Environment, Mechanical Engineering, Automotive Engineering, Energy
27

Scopus Publications

569

Scholar Citations

16

Scholar h-index

23

Scholar i10-index

Scopus Publications

  • Experimental and ANN analysis of magnetite nanoparticle-based biodiesel on diesel engine performance and emissions under different EGR Conditions
    Srinivasarao M, Srinivasarao Ch, Swarna Kumari A, Joga Rao Bikkavolu, Gandhi Pullagura
    Nanotechnology for Environmental Engineering, 2026
  • Papaya leaf extract-mediated synthesis and characterization of magnetite nanoparticles with application in diesel engine performance analysis
    Srinivasarao M., Srinivasarao Ch., Swarna Kumari A., Sarojini Jajimoggala, Shabana Shabana, Joga Rao Bikkavolu, Debabrata Barik, Milon Selvam Dennison, Ayyar Dinesh, Saravanan Rajendran
    Discover Applied Sciences, 2026
    This study presents the green synthesis of magnetite (Fe3O4) nanoparticles using papaya (Carica papaya) leaf extract as an eco-friendly reducing and stabilizing agent. Ferric chloride hexahydrate (FeCl3+6 H2O) and ferrous sulfate heptahydrate (FeSO4+7 H2O) were reacted in a 2:1 molar ratio with the plant extract under controlled conditions. The resulting brown-colored precipitate was thoroughly dried, collected, and stored for characterization. FESEM analysis revealed agglomerated nanoparticles with an average size of ~ 280 nm, while EDX confirmed the presence of iron (72.52%) and oxygen (15.92%), validating Fe3O4 formation. For practical application, the synthesized nanoparticles were dispersed at 50 ppm in an M20 biodiesel blend (20% mahua biodiesel, 80% diesel) and tested in a single-cylinder, four-stroke diesel engine under varying loads. The nanoparticle-enriched blend demonstrated a 1.93% increase in Brake Thermal Efficiency (BTE) and a 1.18% decrease in Specific Fuel Consumption (SFC), alongside reductions in NOx (5.25%), HC (6.02%), CO (16.13%), and smoke opacity (23.26%). These findings highlight the dual advantages of green-synthesized Fe3O4 nanoparticles in improving combustion efficiency while mitigating harmful emissions, supporting sustainable diesel engine operation.
  • Sustainable Diesel Alternative in CRDI Engine: Performance, Emissions, Energy, and Exergy Analysis of Pyrolysis Oil Blends With Diethyl Ether and Graphene Nanoplatelets
    Bandaru Soma Sundara Phani Sankar, Raju Prathipati, Joga Rao Bikkavolu, Kodanda Rama Rao Chebattina, V. V. S. Prasad, Gandhi Pullagura
    Heat Transfer, 2026
    The performance of a compression ignition (CI) engine could be improved by incorporating waste materials such as waste high density plastic oil (HDPO) and diesel blends by dispersing various non‐metallic, carbon‐based additives (graphene nanoplatelets [GNPs]) and higher alcohols (di‐ethyl ether (DEE)) in recent days. In the present investigation, waste plastic oil (WPO) is prepared and blended with diesel to produce the WP20 sample. The WP20 sample is mixed with additives DEE at 10% Vol. and GNPs at concentrations of 25, 50, and 75 mg/L and tested on a four stroke, twin cylinder, common rail direct injection (CRDI), CI engine to evaluate performance, emissions and thermodynamic irreversibilities as per first and second law including energy and exergy efficiency, and sustainability index (SI). The inclusion of additives improved brake thermal efficiency (BTE) by 15.54%, and decreased brake specific fuel consumption (BSFC) by 16.5%. While emissions including carbon monoxide (CO), carbon dioxide (CO 2 ), hydrocarbon (HC), nitrogen oxide (NOx), and smoke are decreased by 9.27%, 13%, 9.89%, 9.30%, and 8.68% respectively for WP20 + DEE10 + GNP50 sample than the WP20 mix at higher BP. Furthermore, the energy and exergy efficiencies, sustainability index (SI), and (EPC) are enhanced by 7.89, 16.7%, 18.95%, and 8.77%, respectively. According to the 2nd law of thermodynamics (TD), the energy and exergy losses (exhaust gas, cooling water, and unaccounted losses) are reduced, indicating the WP20 + DEE10 + GNP50 blend is sustainable and suitable in diesel engines as an alternative fuel.
  • Predicting Common Rail Direct Injection (CRDI) engine metrics using nanoparticle-enhanced pongamia pinnata biodiesel with machine learning
    Joga Rao Bikkavolu, Rakesh Kumar Tota, Ravi H, Kodanda Ramarao Chebattina, Lakshmipathi Raju Bhagavatula, Gandhi Pullagura, PraveenKumar Seepana
    Emergent Materials, 2025
  • Machine learning based analysis of diesel engine performance using Fe₃O₄ nanoadditive in sterculia foetida biodiesel blend
    Srinivasarao Mylapalli, Yaswanth Kumar Reddy Maddi, Joga Rao Bikkavolu, Battula Suryanarayana Murthy, Gandhi Pullagura, H. Ravi, Milon Selvam Dennison, Debabrata Barik
    Scientific Reports, 2025
    This investigation examines the influence of Fe₃O₄ (magnetite) nano additions in sterculia foetida methyl ester (SME) mixtures on diesel engine performance, combustion, and emissions. SME was produced using transesterification and dispersed with surface modified Fe₃O₄ nanoparticles (NPs) employing probe-type ultrasonication to achieve uniform distribution. Engine tests were performed using pure diesel, a 25% SME blend-75% diesel (SME25), and Fe₃O₄ dispersed SME25 blends at concentrations of 50, 75, and 100 ppm. The results showed that the engine performance measures such as brake thermal efficiency (BTE) increased by 6.69% and specific fuel consumption (SFC) reduced by 7.23% for SME + 100Fe sample than SME25 mix. For the same blend, combustion metrics, such as cylinder pressure (CP) and heat release rate (HRR), increased by 4.46% and 24.21% respectively. Furthermore, at greater loads, the SME25 + 100Fe mix reduced carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NOx), and smoke emissions by 23.92%, 22.42%, 5.38%, and 3.61%, respectively. A machine learning (ML) based computational model was created to predict engine performance and emission characteristics across various nano fuel blends. The model achieved great prediction accuracy, with correlation coefficients (R) ranging from 0.9973 to 0.99995 and Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE) values within acceptable bounds. The study confirms that Fe₃O₄ nano fuel blends improve engine efficiency, decrease emissions, and benefit from the integration of ML for accurate and data-efficient performance modelling. This technique is found to be potential for sustainable fuel technologies.
  • Machine learning based prediction of the performance and emission characteristics of CRDI diesel engine using diethyl ether and carbon nanotube additives with Spirulina platensis as a third-generation biofuel
    Venkata Ramana Menda, Rakesh Kumar Tota, Joga Rao Bikkavolu, H. Ravi, Gandhi Pullagura, S. M. Dasharath, Debabrata Barik, Milon Selvam Dennison, Ayyar Dinesh, Saravanan Rajendran
    Scientific Reports, 2025
    Alternative fuels are required to provide the world's energy demands due to excessive fossil fuel use, harmful petrol emissions, environmental pollution, growing demand, rising costs, and fossil fuel degradation. The additives are utilized in biodiesel-diesel blends because they partially meet the physicochemical and thermal properties, resulting in improved combustion, performance, and reduced emissions. This research aims to enhance performance metrics and minimize emissions by incorporating diethyl ether (DEE) and single walled carbon nanotube (CNT) nanoparticles (NPs) into a Spirulina platensis (SP) microalgae-based biodiesel-diesel blend at various injection pressures (IPs). The prepared blends are homogeneous and consistent, as analyzed by characterization using FTIR, XRD, FESEM, EDX, and Raman spectrum analysis. The prepared samples are tested on a two-cylinder, four-stroke, Common Rail Direct Injection (CRDI) diesel engine. The findings revealed that the Brake Thermal Efficiency (BTE) is improved by 15% while the Brake Specific Fuel Consumption (BSFC), Hydrocarbon (HC), Carbon Monoxide (CO), Nitrogen Oxide (NOx), and smoke opacity are reduced by 13.5, 20.7, 39.5, 20.6, and 9.7%, respectively, for the TF + CNT50 sample at higher IP and Brake Mean Effective Pressure (BMEP). The fuel sample TF + CNT50 was shown to be more sustainable and suitable for use in multi-cylinder, CRDI diesel engines without engine modifications. Furthermore, Machine Learning (ML) methods such as Support Vector Regression (SVR), Random Forest (RF), and Decision Tree (DT) are used for accurately predicting engine performance and emission characteristics by analyzing the correlations between input and output data. Simulating these interactions improves engine design and reduces experimentation costs.
  • Unveiling the Role of Nanoparticles in Biodiesel Blends: A Comprehensive Energy-Exergy-Sustainability Analysis for CI Engine Optimization
    Joga Rao Bikkavolu, Sreenivasa Rao M., Ravi Hanumanthu, Hari Kiran Vuddagiri, Kodanda Rama Rao Chebattina, Gandhi Pullagura, Dana Mohammad Khidhir, Milon Selvam Dennison, Praveenkumar Seepana, Debabrata Barik
    Energy Science and Engineering, 2025
    The unsatisfactory engine performance can be enhanced by the fuel reformulation technique in which the nano additives are included in the B20 (20% of methyl ester mixed in 80% of diesel) sample. In the present study, a novel nano additive such as Aluminium oxide (Al2O3), Graphene Oxide (GO), and Carbon Nanotubes (CNTs) are added in B20 mix (20% Vol. of Yellow Oleander Methyl Ester (YOME) is blended in 80% Vol. of standard diesel) and employed on a single cylinder, four stroke, diesel engine. The study is focused on evaluating the Energy (E), Exergy (ex), and sustainability index (SI) through the energy and exergy distributions using first and second laws of Thermodynamics (TD) for the prepared fuel samples, including D100, B20, B20A50, B20GO50, and B20CNT50. The engine operated with the prepared blends at standard conditions such as Compression Ratio (CR) (17.5:1), Rated speed (1500 rpm), Injection Timing (IT) (23° bTDC), and Injection Pressure (IP) (220 bar). The nano‐assisted fuel samples showed enhanced performance characteristics (Brake Thermal Efficiency (BTE) increased by 15.94%, and Brake Specific Fuel Consumption (BSFC) reduced by 20.5%) Energy, and Exergy efficiencies (ηE, ηex), SI, and Exergy Performance Coefficient (EPC) by 33.6, 23.6, 7.14, and 13.7, %, respectively, for B20CNT50 blend at higher Brake Power (BP). The blend B20CNT50 proved to be a more promising fuel sample than the remaining fuel mixtures in a significant variation in engine performance, Energy (E), exergy (ex), and SI. It is not just a promising alternative but also a more sustainable and effective energy source to use with nano‐assisted biodiesel‐diesel blends. This article recommends more investigations and research into engine optimization and the development of sustainable energy alternatives.
  • An empirical study assessing the efficiency and emissions properties of a diesel engine when fueled by blends of lemon grass oil
    E. Nirmala Devi, T. Jayananda Kumar, B. Joga Rao, K. Gowthami, M. Venkateswar Reddy
    Aip Conference Proceedings, 2025
  • Employing hydrogen infusion to improve the combustion attributes of Di-methyl carbonate-boron nitride-biodiesel/diesel blends in a diesel engine
    Joga Rao Bikkavolu, Gandhi Pullagura, Prasad V.V.S., Saikumar Vindula, Seepana Praveenkumar, Dyana Aziz Bayz, Sreejesh S.R. Chandran, Kapura Tudu, Debabrata Barik
    International Journal of Hydrogen Energy, 2025
  • Combustion enhancement and emission reduction in an IC engine by adopting ZnO nanoparticles with calophyllum biodiesel/diesel/propanol blend: A case study of General Regression Neural Network (GRNN) modelling
    M. Srinivasarao, Ch. Srinivasarao, A. Swarna Kumari, Bikkavolu Joga Rao, Pullagura Gandhi, Seepana PraveenKumar, Olusegun D. Samuel, Ahmad Mustafa, Christopher C. Enweremadu, Noureddine Elboughdiri
    Industrial Crops and Products, 2025
    Even though higher alcohols (HAs) and nanoparticles have the tendency to enhance engine behaviours (EBs), namely performance, emissions, and combustion characteristics, and ensure a greener environment, the absence of a reliable model to predict and model the appropriate HA dosage to blend with nanoparticles in green diesel (GD) has affected the biodiesel and automotive industries. For the first time, a study adopted a generalized regression neural network (GRNN) to investigate the influence of propanol-2 as one of the HAs, zinc oxide (ZnO) as one of the nanoparticles, and Calophyllum biodiesel (CB) as GD on EBs. The study focused on the effect of adding propanol-2 and ZnO fuel enhancers on the engine features and performance, combustion, and emissions of a CB blend (CB20) in an internal combustion (IC) engine. The results showed improved engine performance, with brake thermal efficiency increasing by 0.06 %, 1.71 %, and 3.91 %, and specific fuel consumption reduced by 5.83 %, 7.4 %, and 11.53 %, respectively, compared to CB20 fuel. The highest cylinder pressure of 70.84 bar was observed at the 120 ppm nano additive blend, while the highest heat release rate (HRR) of 36.65 J/℃A was observed at the same concentration of nano additives. Furthermore, the inclusion of ZnO nano condiments caused a decrease in carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NOx), and smoke emissions by 38.7 %, 14.9 %, 4.8 %, and 2.48 %, respectively, at higher dosages of nano additives in the CB20 blend. A computational model based on a GRNN was constructed for further analysis of engine efficiency and emissions behaviour. The GRNN model accurately predicted output variables for various blends, with correlation coefficient (R) values varying from 0.98284 to 0.99959, with lesser RMSE and MAPE values within acceptable boundaries. The highest cylinder pressure of 70.84 bar was observed at the 120 ppm nano additive blend, while the highest heat release rate (HRR) of 36.65 J/℃A was observed at the same concentration of nano additives. Furthermore, the inclusion of ZnO nano condiments caused a decrease in carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NOx), and smoke emissions by 38.7 %, 14.9 %, 4.8 %, and 2.48 %, respectively, at higher dosages of nano additives in the CB20 blend. A computational model based on a GRNN was constructed for further analysis of engine efficiency and emissions behaviour. The GRNN model accurately predicted output variables for various blends, with correlation coefficient (R) values varying from 0.98284 to 0.99959, with lesser RMSE and MAPE values within acceptable boundaries. The results also showed that the GRNN models are advantageous for network simplicity and require less data, making them reliable tools for predicting and modelling EP of the latest fuel for researchers and stakeholders in the automotive industry. • Study on IC engines using novel ternary renewable fuels. • 1st term GRNN modeling for ternary fuel (biodiesel/diesel/propanol blend with Zn nanoparticles) in IC engine. • Correlation between GRNN-predicted engine performance and measured values for ternary fuels. • Efforts towards achieving SDG 7 millennium goal.
  • Reduction of Diesel Engine Exhaust Emissions Using Modified Catalytic Converter
    Bikkavolu Joga Rao, Pullagura Gandhi, Bulla Prabhas
    Smart Innovation Systems and Technologies, 2025
  • Energy, exergy analysis, and sustainability assessment of CI engine performance using graphene oxide and n-Butanol, DEE fuel additives blended with biodiesel-diesel fuel blend
    Joga Rao Bikkavolu, Gandhi Pullagura, Rajasekhar Medidi, PraveenKumar Seepana
    Emergent Materials, 2025
  • Energy, exergy, and sustainability assessments of a compression ignition diesel engine fueled with Pongamia pinnata oil − diesel blends and nanoparticles
    Gandhi Pullagura, Joga Rao Bikkavolu, V. V. S. Prasad, Raju Prathipati, PraveenKumar Seepana
    Emergent Materials, 2025
  • Amplifying performance attributes of biodiesel–diesel blends through hydrogen infusion and graphene oxide nanoparticles in a diesel engine
    Gandhi Pullagura, Joga Rao Bikkavolu, Srinivas Vadapalli, Prasad Vanthala Varaha Siva, Kodanda Rama Rao Chebattina, Debabrata Barik, Anand Nayyar, Prabhakar Sharma, Bhaskor Jyoti Bora
    Clean Technologies and Environmental Policy, 2024
  • Thermogravimetric analysis and injection pressure strategies on a CI engine using yellow oleander methyl ester-diesel blends with nano additions
    Bikkavolu Joga Rao, Vadapalli Srinivas, Chebattina Kodanda Rama Rao, Pullagura Gandhi
    Emergent Materials, 2024
  • Performance, combustion and emission reduction characteristics of Metal-based silicon dioxide nanoparticle additives included in ternary fuel (diesel-SMME-iso butanol) on diesel engine
    Gandhi Pullagura, Joga Rao Bikkavolu, Srinivas Vadapalli, V. Varaha Siva Prasad, Kodanda Rama Rao Chebattina, Debabrata Barik, Milon Selvam Dennison
    Heliyon, 2024
  • Enhancing performance characteristics of biodiesel-alcohol/diesel blends with hydrogen and graphene nanoplatelets in a diesel engine
    Gandhi Pullagura, Varaha Siva Prasad Vanthala, Srinivas Vadapalli, Joga Rao Bikkavolu, Debabrata Barik, Prabhakar Sharma, Bhaskor Jyoti Bora
    International Journal of Hydrogen Energy, 2024
  • Effects of stably dispersed carbon nanotube additives in yellow oleander methyl ester-diesel blend on the performance, combustion, and emission characteristics of a CI engine
    Joga Rao Bikkavolu, Srinivas Vadapalli, Kodanda Rama Rao Chebattina, Gandhi Pullagura
    Biofuels, 2024
  • The effect of thermal conductivity and stably dispersed graphene nanoplatelets on Sterculia foetida biodiesel–diesel blends for the investigation of performance, emissions, and combustion characteristics on VCR engine
    Gandhi Pullagura, Varaha Siva Prasad Vanthala, Srinivas Vadapalli, Joga Rao Bikkavolu, Kodanda Rama Rao Chebattina
    Biofuels, 2024
  • The Effect of CNTs on Physicochemical Properties of Yellow Oleander Biodiesel-Diesel Fuel Blends
    Bikkavolu Joga Rao, Gandhi Pullagura, Srinivas Vadapalli, Kodanda Rama Rao Chebattina
    Aip Conference Proceedings, 2023
  • Investigation of the effect of adding carbon nanotubes, lower and higher level alcohol additives, in Yellow oleander methyl ester-diesel blend on diesel engine performance
    Joga Rao Bikkavolu, Srinivas Vadapalli, Kodanda Rama Rao Chebattina, Gandhi Pullagura
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2023
  • The effect of graphene nanoplatelets on Physico-chemical properties of Sterculia foetida biodiesel-diesel fuel blends
    Gandhi Pullagura, Jogarao Bikkavolu, Srinivas Vadapalli, V.V.S. Prasad, Kodanda Rama Rao Chebattina
    Materials Today Proceedings, 2023
  • Influence of Nano Additives on Performance, Combustion, and Emission Characteristics of Diesel Engine using Tamarind Oil Methyl Ester-Diesel Fuel Blends
    Bikkavolu Joga Rao
    Journal of Mechanical Engineering, 2023
  • Parametric study of GNPs nano addition in water diesel emulsified fuel on diesel engine at variable injection timings
    Gandhi Pullagura, Srinivas Vadapalli, Prasad V.V.S, Joga Rao Bikkavolu, Kodanda Rama Rao Chebattina
    Energy Sources Part A Recovery Utilization and Environmental Effects, 2023
  • Influence of Dimethyl Carbonate and Dispersant Added Graphene Nanoplatelets in Diesel-Biodiesel Blends: Combustion, Performance, and Emission Characteristics of Diesel Engine
    Gandhi Pullagura, Srinivas Vadapalli, V. Varaha Siva Prasad, Joga Rao Bikkavolu, Kodanda Rama Rao Chebattina, Debabrata Barik, Milon Selvam Dennison
    International Journal of Energy Research, 2023
  • Comparative Study of TiO2 Nanoparticles and Alcoholic Fuel Additives-Biodiesel-Diesel Blend for Combustion, Performance, and Emission Improvements
    Gandhi Pullagura, Jogarao Bikkavolu, Srinivas Vadapalli, Kodanda Rama Rao Chebattina, Viswadeepika Kuchipudi
    International Journal of Heat and Technology, 2022
  • Effect of Injection Pressure on the Performance and Emission Characteristics of Niger-Diesel-Ethanol Blends in CI Engine
    Journal of Mechanical Engineering, 2021

RECENT SCHOLAR PUBLICATIONS

  • Experimental and ANN analysis of magnetite nanoparticle-based biodiesel on diesel engine performance and emissions under different EGR Conditions
    S Ch, JR Bikkavolu, G Pullagura
    Nanotechnology for Environmental Engineering 11 (2), 70 , 2026
    2026
  • Effects of EGR and Fe₃O₄ nanoadditives on performance of a variable compression ratio diesel engine fueled with tamarind biodiesel
    M Srinivasarao, C Srinivasarao, AS Kumari, JR Bikkavolu, G Pullagura, ...
    Scientific Reports , 2026
    2026
  • Papaya leaf extract-mediated synthesis and characterization of magnetite nanoparticles with application in diesel engine performance analysis
    S Jajimoggala, S Shabana, JR Bikkavolu, D Barik, MS Dennison, ...
    Discover Applied Sciences , 2026
    2026
  • Sustainable Diesel Alternative in CRDI Engine: Performance, Emissions, Energy, and Exergy Analysis of Pyrolysis Oil Blends With Diethyl Ether and Graphene Nanoplatelets
    BSSP Sankar, R Prathipati, JR Bikkavolu, KRR Chebattina, VVS Prasad, ...
    Heat Transfer , 2026
    2026
    Citations: 1
  • Experimental Investigation Of Tool Wear Monitoring In Cnc Machine Using Ai Techniques
    BJR Kotha Sri Ram Pavan
    International Journal of Creative Research Thoughts 13 (12), 587-602 , 2025
    2025
  • Unveiling the Role of Nanoparticles in Biodiesel Blends: A Comprehensive Energy‐Exergy‐Sustainability Analysis for CI Engine Optimization
    J Rao Bikkavolu, S Rao M, R Hanumanthu, HK Vuddagiri, ...
    Energy Science & Engineering 13 (12), 6383-6399 , 2025
    2025
    Citations: 4
  • Machine learning based prediction of the performance and emission characteristics of CRDI diesel engine using diethyl ether and carbon nanotube additives with Spirulina …
    VR Menda, RK Tota, JR Bikkavolu, H Ravi, G Pullagura, SM Dasharath, ...
    Scientific Reports 15 (1), 39958 , 2025
    2025
    Citations: 3
  • Machine learning based analysis of diesel engine performance using Fe₃O₄ nanoadditive in sterculia foetida biodiesel blend
    S Mylapalli, YK Reddy Maddi, JR Bikkavolu, BS Murthy, G Pullagura, ...
    Scientific Reports 15 (1), 39028 , 2025
    2025
    Citations: 4
  • Performance and Emission Analysis of CRDI Diesel Engine Using Methyl Ester Derived from Spirulina platensis as a Third-Generation Biofuel
    VR Menda, JR Bikkavolu, G Pullagura, D Barik, P Paramasivam, ...
    Case Studies in Thermal Engineering, 107187 , 2025
    2025
    Citations: 4
  • An empirical study assessing the efficiency and emissions properties of a diesel engine when fueled by blends of lemon grass oil
    EN Devi, TJ Kumar, BJ Rao, K Gowthami, MV Reddy
    AIP Conference Proceedings 3342 (1), 050015 , 2025
    2025
  • Predicting Common Rail Direct Injection (CRDI) engine metrics using nanoparticle-enhanced pongamia pinnata biodiesel with machine learning
    JR Bikkavolu, RK Tota, KR Chebattina, LR Bhagavatula, G Pullagura, ...
    Emergent Materials, 1-18 , 2025
    2025
    Citations: 13
  • Employing hydrogen infusion to improve the combustion attributes of Di-methyl carbonate-boron nitride-biodiesel/diesel blends in a diesel engine
    JR Bikkavolu, G Pullagura, S Vindula, S Praveenkumar, DA Bayz, ...
    International Journal of Hydrogen Energy 143, 389-402 , 2025
    2025
    Citations: 14
  • Combustion enhancement and emission reduction in an IC engine by adopting ZnO nanoparticles with calophyllum biodiesel/diesel/propanol blend: a case study of general regression …
    M Srinivasarao, C Srinivasarao, AS Kumari, BJ Rao, P Gandhi, ...
    Industrial Crops and Products 227, 120812 , 2025
    2025
    Citations: 25
  • A study of tribological behaviour of bio lubricants and their blends with GNP nanoparticles
    SSR Bikkavolu Joga Rao, Chittamsetti Samuel Raju, Gulivindala Tarun, Bondada ...
    Journal of Xidian University 19 (3), 443-458 , 2025
    2025
  • Improving Tribological Properties of Chemically Modified Mahua Oil-Lubricant oil blends with MWCNT nanoparticles
    KN Bikkavolu Joga Rao, Kota Nithin Sandeep, MD Arif, Nalli Dineshkar
    Journal of Xidian University 19 (3), 459-473 , 2025
    2025
  • Energy, exergy, and sustainability assessments of a compression ignition diesel engine fueled with Pongamia pinnata oil − diesel blends and nanoparticles
    G Pullagura, JR Bikkavolu, VVS Prasad, R Prathipati, PK Seepana
    Emergent Materials 8 (1), 199-215 , 2025
    2025
    Citations: 17
  • Energy, exergy analysis, and sustainability assessment of CI engine performance using graphene oxide and n-Butanol, DEE fuel additives blended with biodiesel-diesel fuel blend
    JR Bikkavolu, G Pullagura, R Medidi, PK Seepana
    Emergent Materials 8 (1), 217-234 , 2025
    2025
    Citations: 18
  • Amplifying performance attributes of biodiesel–diesel blends through hydrogen infusion and graphene oxide nanoparticles in a diesel engine
    G Pullagura, JR Bikkavolu, S Vadapalli, PVV Siva, KRR Chebattina, ...
    Clean Technologies and Environmental Policy 26 (7), 2235-2257 , 2024
    2024
    Citations: 20
  • Reduction of Diesel Engine Exhaust Emissions Using Modified Catalytic Converter
    BJ Rao, P Gandhi, B Prabhas
    International Conference on Intelligent Manufacturing and Energy … , 2024
    2024
  • Thermogravimetric analysis and injection pressure strategies on a CI engine using yellow oleander methyl ester-diesel blends with nano additions
    BJ Rao, V Srinivas, CKR Rao, P Gandhi
    Emergent Materials 7 (3), 847-866 , 2024
    2024
    Citations: 15

MOST CITED SCHOLAR PUBLICATIONS

  • Enhancing performance characteristics of biodiesel-alcohol/diesel blends with hydrogen and graphene nanoplatelets in a diesel engine
    G Pullagura, VSP Vanthala, S Vadapalli, JR Bikkavolu, D Barik, P Sharma, ...
    International Journal of Hydrogen Energy 50, 1020-1034 , 2024
    2024
    Citations: 64
  • Effects of stably dispersed carbon nanotube additives in yellow oleander methyl ester-diesel blend on the performance, combustion, and emission characteristics of a CI engine
    JR Bikkavolu, S Vadapalli, KRR Chebattina, G Pullagura
    Biofuels 15 (1), 67-80 , 2024
    2024
    Citations: 40
  • Performance, combustion and emission reduction characteristics of Metal-based silicon dioxide nanoparticle additives included in ternary fuel (diesel-SMME-iso butanol) on …
    G Pullagura, JR Bikkavolu, S Vadapalli, VVS Prasad, KRR Chebattina, ...
    Heliyon 10 (4) , 2024
    2024
    Citations: 34
  • Influence of Dimethyl Carbonate and Dispersant Added Graphene Nanoplatelets in Diesel‐Biodiesel Blends: Combustion, Performance, and Emission Characteristics of Diesel Engine
    G Pullagura, S Vadapalli, V Varaha Siva Prasad, JR Bikkavolu, ...
    International Journal of Energy Research 2023 (1), 9989986 , 2023
    2023
    Citations: 34
  • Comparative study of TiO2 nanoparticles and alcoholic fuel additives-biodiesel-diesel blend for combustion, performance, and emission improvements
    G Pullagura, J Bikkavolu, S Vadapalli, KRR Chebattina, V Kuchipudi
    IJHT 40 (5), 1249-1257 , 2022
    2022
    Citations: 33
  • Biodiesel Production Using Second-Generation Feedstocks: A Review
    B Jogarao, AS Kumari
    Recent Advances in Material Sciences, 693-709 , 2019
    2019
    Citations: 27
  • Combustion enhancement and emission reduction in an IC engine by adopting ZnO nanoparticles with calophyllum biodiesel/diesel/propanol blend: a case study of general regression …
    M Srinivasarao, C Srinivasarao, AS Kumari, BJ Rao, P Gandhi, ...
    Industrial Crops and Products 227, 120812 , 2025
    2025
    Citations: 25
  • Investigation of the effect of adding carbon nanotubes, lower and higher level alcohol additives, in yellow oleander Methyl ester-diesel blend on diesel engine performance
    JR Bikkavolu, S Vadapalli, KRR Chebattina, G Pullagura
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 … , 2023
    2023
    Citations: 25
  • The effect of graphene nanoplatelets on Physico-chemical properties of Sterculia foetida biodiesel-diesel fuel blends
    KRRC Gandhi Pullagura, Jogarao Bikkavolu, Srinivas Vadapalli, V.V.S. Prasad
    Materials Today: Proceedings , 2023
    2023
    Citations: 23
  • Effect of injection pressure on the performance and emission characteristics of niger-dieselethanol blends in CI engine
    B Joga Rao, V Srinivas, KR Chebattina, P Gandhi
    Journal of Mechanical Engineering 18 (3), 77-95 , 2021
    2021
    Citations: 23
  • Amplifying performance attributes of biodiesel–diesel blends through hydrogen infusion and graphene oxide nanoparticles in a diesel engine
    G Pullagura, JR Bikkavolu, S Vadapalli, PVV Siva, KRR Chebattina, ...
    Clean Technologies and Environmental Policy 26 (7), 2235-2257 , 2024
    2024
    Citations: 20
  • The effect of thermal conductivity and stably dispersed graphene nanoplatelets on Sterculia foetida biodiesel–diesel blends for the investigation of performance …
    G Pullagura, VS Prasad Vanthala, S Vadapalli, JR Bikkavolu, ...
    Biofuels 15 (4), 449-460 , 2024
    2024
    Citations: 20
  • Energy, exergy analysis, and sustainability assessment of CI engine performance using graphene oxide and n-Butanol, DEE fuel additives blended with biodiesel-diesel fuel blend
    JR Bikkavolu, G Pullagura, R Medidi, PK Seepana
    Emergent Materials 8 (1), 217-234 , 2025
    2025
    Citations: 18
  • Energy, exergy, and sustainability assessments of a compression ignition diesel engine fueled with Pongamia pinnata oil − diesel blends and nanoparticles
    G Pullagura, JR Bikkavolu, VVS Prasad, R Prathipati, PK Seepana
    Emergent Materials 8 (1), 199-215 , 2025
    2025
    Citations: 17
  • Parametric study of GNPs nano addition in water diesel emulsified fuel on diesel engine at variable injection timings
    G Pullagura, S Vadapalli, P VVS, JR Bikkavolu, KRR Chebattina
    Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45 … , 2023
    2023
    Citations: 17
  • Influence of nano additives on performance, combustion, and emission characteristics of diesel engine using tamarind oil methyl ester-diesel fuel blends/Bikkavolu Joga Rao…[et …
    JR Bikkavolu, G Pullagura, S Vadapalli, KR Chebattina, UC Pathem
    Journal of Mechanical Engineering (JMechE) 20 (3), 313-333 , 2023
    2023
    Citations: 16
  • Effect of nano additives on fuel properties, engine performance, emission and combustion characteristics of CI engines fuelled with diesel and biodiesel blends: a comprehensive …
    G Pullagura, S Vadapalli, VV Prasad, J Bikkavolu, KR Chebattina, ...
    Bulletin Monumental 21 (11), 39-50 , 2021
    2021
    Citations: 16
  • Thermogravimetric analysis and injection pressure strategies on a CI engine using yellow oleander methyl ester-diesel blends with nano additions
    BJ Rao, V Srinivas, CKR Rao, P Gandhi
    Emergent Materials 7 (3), 847-866 , 2024
    2024
    Citations: 15
  • Employing hydrogen infusion to improve the combustion attributes of Di-methyl carbonate-boron nitride-biodiesel/diesel blends in a diesel engine
    JR Bikkavolu, G Pullagura, S Vindula, S Praveenkumar, DA Bayz, ...
    International Journal of Hydrogen Energy 143, 389-402 , 2025
    2025
    Citations: 14
  • Predicting Common Rail Direct Injection (CRDI) engine metrics using nanoparticle-enhanced pongamia pinnata biodiesel with machine learning
    JR Bikkavolu, RK Tota, KR Chebattina, LR Bhagavatula, G Pullagura, ...
    Emergent Materials, 1-18 , 2025
    2025
    Citations: 13