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Kiran Raj Bukkarapu
Kiran Raj Bukkarapu
Kirloskar Oil Engines Ltd.
Adresse e-mail validée de kirloskar.com
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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
642022
A comprehensive review of biodiesel property prediction models for combustion modeling studies
A Krishnasamy, KR Bukkarapu
Fuel 302, 121085, 2021
642021
A composition based approach to predict density, viscosity and surface tension of biodiesel fuels
S Mishra, KR Bukkarapu, A Krishnasamy
Fuel 285, 119056, 2021
622021
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
302018
A study on the effects of compositional variations of biodiesel fuel on its physiochemical properties
KR Bukkarapu, A Krishnasamy
Biofuels, 2021
292021
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
222023
Predicting engine fuel properties of biodiesel and biodiesel-diesel blends using spectroscopy based approach
KR Bukkarapu, A Krishnasamy
Fuel Processing Technology 230, 107227, 2022
202022
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
182021
Fourier transform infrared spectroscopy models to predict cetane number of different biodiesels and their blends
KR Bukkarapu, A Krishnasamy
SAE Technical Paper, 2020
182020
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
182017
Fourier-transform-infrared-spectroscopy-based approach to predict engine fuel properties of biodiesel
KR Bukkarapu, A Krishnasamy
Energy & Fuels 35 (9), 7993-8005, 2021
152021
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
92024
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
62024
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
32024
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
32023
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
22024
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
22024
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
22021
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
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