A critical review on available models to predict engine fuel properties of biodiesel KR Bukkarapu, A Krishnasamy Renewable and Sustainable Energy Reviews 155, 111925, 2022 | 64 | 2022 |
A comprehensive review of biodiesel property prediction models for combustion modeling studies A Krishnasamy, KR Bukkarapu Fuel 302, 121085, 2021 | 64 | 2021 |
A composition based approach to predict density, viscosity and surface tension of biodiesel fuels S Mishra, KR Bukkarapu, A Krishnasamy Fuel 285, 119056, 2021 | 62 | 2021 |
Management, conversion, and utilization of waste plastic as a source of sustainable energy to run automotive: a review YJPK Kiran Raj Bukkarapu, D. Siva Gangadhar Energy Sources, Part A: Recovery, Utilization, and Environmental Effects,, 2018 | 30 | 2018 |
A study on the effects of compositional variations of biodiesel fuel on its physiochemical properties KR Bukkarapu, A Krishnasamy Biofuels, 2021 | 29 | 2021 |
The best suitable alternative to diesel in a compression ignition engine between waste plastic oil and waste tire oil blends with diesel PKDSG KR Bukkarapu, Jyothi Y Energy Sources Part A, 2019 | 23* | 2019 |
Support vector regression approach to optimize the biodiesel composition for improved engine performance and lower exhaust emissions KR Bukkarapu, A Krishnasamy Fuel 348, 128604, 2023 | 22 | 2023 |
Predicting engine fuel properties of biodiesel and biodiesel-diesel blends using spectroscopy based approach KR Bukkarapu, A Krishnasamy Fuel Processing Technology 230, 107227, 2022 | 20 | 2022 |
A relative assessment of chromatographic and spectroscopic based approaches to predict engine fuel properties of biodiesel KR Bukkarapu, A Krishnasamy Fuel Processing Technology 222, 106960, 2021 | 18 | 2021 |
Fourier transform infrared spectroscopy models to predict cetane number of different biodiesels and their blends KR Bukkarapu, A Krishnasamy SAE Technical Paper, 2020 | 18 | 2020 |
A review on current trends in water in oil emulsions KR Bukkarapu, Y Jyothi, LS Raju, GC Babu, K Narayanan International journal of mechanical engineering and technology 8 (4), 359-371, 2017 | 18 | 2017 |
Fourier-transform-infrared-spectroscopy-based approach to predict engine fuel properties of biodiesel KR Bukkarapu, A Krishnasamy Energy & Fuels 35 (9), 7993-8005, 2021 | 15 | 2021 |
Biodiesel composition based machine learning approaches to predict engine fuel properties KR Bukkarapu, A Krishnasamy Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2024 | 9 | 2024 |
Investigations on the applicability of machine learning algorithms to optimize biodiesel composition for improved engine fuel properties KR Bukkarapu, A Krishnasamy International Journal of Engine Research 25 (7), 1299-1314, 2024 | 6 | 2024 |
Evaluating the feasibility of machine learning algorithms for combustion regime classification in biodiesel-fueled homogeneous charge compression ignition engines KR Bukkarapu, A Krishnasamy Fuel 374, 132406, 2024 | 3 | 2024 |
Charge Dilution Strategy to Extend the Stable Combustion Regime of a Homogenous Charge Compression Ignited Engine Operated With Biodiesel KR Bukkarapu, A Krishnasamy SAE Technical Paper, 2023 | 3 | 2023 |
Advancements in In-Cylinder and After-Treatment Strategies for Mitigating Pollutants from Diesel Engines: A Critical Review S Da Costa, KR Bukkarapu, R Fernandes, A Krishnasamy, PP Morajkar Energy & Fuels, 2024 | 2 | 2024 |
Spectroscopy-Based Machine Learning Approach to Predict Engine Fuel Properties of Biodiesel KR Bukkarapu, A Krishnasamy SAE International Journal of Engines 17 (03-17-07-0051), 2024 | 2 | 2024 |
A Novel Reference Property-Based Approach to Predict Properties of Diesel Blended with Biodiesel Produced from Different Feedstocks KR Bukkarapu, S CK, A Krishnasamy SAE International Journal of Fuels and Lubricants, 2021 | 2 | 2021 |
Applications of machine learning techniques to broaden operating envelope of biodiesel-fueled HCCI engines KR Bukkarapu, A Krishnasamy International Journal of Engine Research, 14680874241292695, 2024 | | 2024 |