Srinivasa Krishna Addepalli

@iittp.ac.in

Ramanujan Fellow at Mechanical Engineering Department, IIT Tirupati
Indian Institute of Technology Tiruapti

Srinivasa Krishna Addepalli


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https://researchid.co/as_krishna

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, Energy, Automotive Engineering, General Energy
20

Scopus Publications

303

Scholar Citations

8

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Modelling Spray in GDI Engines: Fuel Injection Modelling
    Srinivasa Krishna Addepalli, J. M. Mallikarjuna
    Energy Environment and Sustainability, 2024
  • Modelling Ignition and Combustion in GDI Engines
    Srinivasa Krishna Addepalli, J. M. Mallikarjuna
    Energy Environment and Sustainability, 2024
  • Modeling the impact of the fuel injection strategy on the combustion and performance characteristics of a heavy-duty GCI engine
    Srinivasa Krishna Addepalli, Michael Pamminger, Riccardo Scarcelli, Thomas Wallner
    International Journal of Engine Research, 2024
    Gasoline compression ignition (GCI) is a promising strategy to achieve high thermal efficiency and low emissions with limited modifications to the conventional diesel engine hardware. It is a partially premixed concept, which derives its superiority from higher volatility and longer ignition delay of gasoline-like fuels combined with higher compression ratio typical of diesel engines. The present study investigates the combustion process in a GCI engine operating with different injection strategies using computational fluid dynamics (CFD). Simulations are carried out on a single cylinder of a multi cylinder heavy-duty compression ignition engine, which operates at a compression ratio of 17:1 and an engine speed of 1038 rev/min. Two different injection strategies viz., late injection (LI), and early pilot injection (EP) are investigated to understand their impact on combustion and performance of the engine. Renormalized group (RNG) k-ε model is used to describe in-cylinder turbulence and KH RT model is used to simulate the fuel spray breakup. The developed CFD methodology is validated against relevant experimental data under a wide range of operating conditions for each injection strategy. The developed CFD methodology was found to capture the engine combustion behavior quite well. Based on the validated CFD model, the differences in the progress of combustion event for the two injection strategies is highlighted. It was found that a larger pilot fuel mass fraction results in a steeper rise in the initial heat release rate which in turn influences the transition to mixing controlled combustion. In line with the experimental data, the study showed that the late pilot injection strategy with three injection pulses, results in higher performance compared to the other conditions.
  • The Impact of Fuel Injection Strategies and Compression Ratio on Combustion and Performance of a Heavy-Duty Gasoline Compression Ignition Engine
    Michael Pamminger, Srinivasa Krishna Addepalli, Riccardo Scarcelli, Thomas Wallner
    SAE Technical Papers, 2022
    <div class="section abstract"><div class="htmlview paragraph">Gasoline compression ignition using a single gasoline-type fuel has been shown as a method to achieve low-temperature combustion with low engine-out NO<i><sub>x</sub></i> and soot emissions and high indicated thermal efficiency. However, key technical barriers to achieving low temperature combustion on multi-cylinder engines include the air handling system (limited amount of exhaust gas recirculation) as well as mechanical engine limitations (e.g. peak pressure rise rate). In light of these limitations, high temperature combustion with reduced amounts of exhaust gas recirculation appears more practical. Furthermore, for high temperature Gasoline compression ignition, an effective aftertreatment system allows high thermal efficiency with low tailpipe-out emissions. In this work, experimental testing was conducted on a 12.4 L multi-cylinder heavy-duty diesel engine operating with high temperature gasoline compression ignition combustion using EEE gasoline. Engine testing was conducted at an engine speed of 1038 rpm and a brake mean effective pressure of 14 bar. Different hardware configurations were investigated (compression ratio 17 and 20.5), as well as two sets of injectors. In addition, three injection strategies were tested in order to understand the impact of the different hardware configuration in conjunction with injection strategy on performance. A combination of port fuel and direct injection strategies were utilized to increase the premixed combustion fraction. The impact on engine performance with respect to varying injection and intake operating parameters was quantified within this study. The peak brake thermal efficiency measured was 47.2% with compression ratio 20.5 and the high flow-rate injectors. 3D computation fluid dynamics simulation was leveraged at select conditions to provide insight into the combustion process.</div></div>
  • Multi-dimensional modeling of mixture preparation in a direct injection engine fueled with gaseous hydrogen
    Srinivasa Krishna Addepalli, Yuanjiang Pei, Yu Zhang, Riccardo Scarcelli
    International Journal of Hydrogen Energy, 2022
  • Numerical Investigation of the Impact of Fuel Flow Rate on Combustion in a Heavy-Duty Diesel Engine with a Multi-Row Nozzle Injector
    Srinivasa Krishna Addepalli, Riccardo Scarcelli, Yan Wang, Ryan Vojtech, Raj Kumar, James Cigler
    SAE Technical Papers, 2022
    <div class="section abstract"><div class="htmlview paragraph">Diesel engines are one of the most popular combustion systems used in different types of heavy-duty applications because of higher efficiencies compared to the spark ignition engines. Combustion phasing and the rate of heat release in diesel engines are controlled by the rate at which the fuel is injected into the combustion chamber near top dead center. In this work, computational fluid dynamics (CFD) was employed to simulate the combustion behavior of a heavy-duty diesel engine equipped with a 16-hole injector, in which the nozzles were arranged in two individual rows. The two rows of nozzles have differential flow rate due to the geometrical construction of the injector. Combustion and performance characteristics of the engine were compared with and without considering the differential flow rate of the nozzle rows at a range of injection timing values. The rate of injection of the two nozzle rows was obtained from a combination of in-nozzle flow simulations and constant volume chamber simulations. The engine operates at a speed of 1000 rev/min, and at a compression ratio of 20.5. KH-RT model was used to model the spray break up, while the finite rate chemistry approach was used to model combustion. Simulation results were also compared with experimental results to analyze the impact of the differential flow rate of the two nozzle rows. The developed CFD methodology was found to capture combustion and performance trends very well and shed light on the importance to take injector nozzle geometry details into account.</div></div>
  • A CFD STUDY ON MIXTURE PREPARATION AND COMBUSTION IN A HEAVY-DUTY LOCOMOTIVE DIESEL ENGINE AT HIGH LOAD CONDITION
    Srinivasa Krishna Addepalli, Gina M. Magnotti, Sibendu Som, Pushkar Sheth, Vijayaselvan Jayakar, Adam Klingbeil, Thomas Lavertu
    Proceedings of ASME 2022 ICE Forward Conference Icef 2022, 2022
    Diesel engines are one of the most commonly used combustion systems for heavy-duty applications like locomotives. Although computational fluid dynamics (CFD) modeling of diesel engines is a mature research topic, CFD modeling of large-bore engines like those used in locomotives has not been as extensively studied as their smaller bore on-road and stationary counterparts. The present paper aims at identifying and outlining best practices for performing 3D CFD simulations of locomotive diesel engines and comparing them with the established best practices for heavy-duty diesel engines in the literature. The locomotive diesel engine considered in this study has a bore of 168mm and operates at speeds of up to 1800 rpm. Open cycle engine CFD simulations were carried out for both motored and fired cases. Two turbulence models viz., Re-Normalization group (RNG) k-ε model and Reynolds stress model (RSM) were used in this study to assess their performance. The fuel spray break up was modelled using Kelvin Helmholtz and Rayleigh Taylor (KH-RT) model. A grid and statistical convergence study was performed to assess the effect of mesh size on the predicted results. It was found that a minimum cell size of 0.25 mm near the fuel spray and 1 mm in the rest of the cylinder was sufficient to achieve grid convergence in terms of spray and combustion characteristics. The boundary wall temperatures are shown to affect the in-cylinder pressure predictions. Higher wall temperatures were found to reduce the trapped mass and increase the peak motored pressure. The CFD model was validated by comparing the simulation results with the experimental measurements at full rated power. It was found that the RSM was able to capture the combustion characteristics more accurately compared to RNG k-ε model. Overall, the CFD model was able to predict the engine combustion and performance characteristics at three injection timings.
  • Numerical Investigation of the Impact of Fuel Injection Strategies on Combustion and Performance of a Gasoline Compression Ignition Engine
    Srinivasa Krishna Addepalli, Michael Pamminger, Riccardo Scarcelli, Buyu Wang, Thomas Wallner
    SAE Technical Papers, 2021
    <div class="section abstract"><div class="htmlview paragraph">Gasoline compression ignition is a promising strategy to achieve high thermal efficiency and low emissions with limited modifications to the conventional diesel engine hardware. It is a partially premixed concept which derives its superiority from higher volatility and longer ignition delay of gasoline-like fuels combined with higher compression ratio typical of diesel engines. The present study investigates the combustion process in a gasoline compression ignition engine using computational fluid dynamics. Simulations are carried out on a single cylinder of a multi cylinder heavy-duty compression ignition engine which operates at a compression ratio of 17:1 and an engine speed of 1038 rev/min. In this study, a late fuel injection strategy is used because it is less sensitive to combustion kinetics compared to early injection strategies, which in turn is a better choice to assess the performance of the spray model. Three different injection strategies viz., Pilot-Main-Post, Pilot-Main and Main-Post, are investigated to understand their impact on combustion and performance of the engine. RNG k-ε model is used to describe in-cylinder turbulence and KH RT model is used to simulate the fuel spray breakup. Simulation results with two chemical mechanisms are assessed and compared to experimental data. Overall, the simulation results are found to be in good agreement with the experimental data, both for different injection strategies and varying start of fuel injections. Numerical results are then used to carry out an in-depth investigation of combustion process for different injection strategies and thermal efficiency of the gasoline compression ignition engine.</div></div>
  • Numerical investigation of the impact of spray - Bowl interaction on thermal efficiency of a gasoline compression ignition engine
    Srinivasa Krishna Addepalli, Michael Pamminger, Riccardo Scarcelli, Thomas Wallner
    Proceedings of ASME 2021 Internal Combustion Engine Division Fall Technical Conference Icef 2021, 2021
    Gasoline compression ignition (GCI) is a promising way to achieve high thermal efficiency and low emissions while leveraging conventional diesel engine hardware. GCI is a partially premixed combustion concept, which derives its superiority from good volatility and long ignition delay of gasoline-like fuels. The present study investigates the interaction between the piston bowl and the spray plume of a compression ignition engine that operates with a late fuel injection strategy using computational fluid dynamics (CFD) analysis. Simulations were carried out on a single cylinder of a multi-cylinder heavy-duty compression ignition engine. The engine operates at a speed of 1038 rev/min., and a compression ratio of 17. Incylinder turbulence was modelled using RNG k-ε model and the fuel spray break up was modelled using KH-RT model. A reduced chemical kinetic mechanism was used to model combustion chemistry. After validating the combustion and performance characteristics of the baseline piston against experimental results, several new piston bowl designs were generated using CAESES. Full cycle engine simulations for four selected bowl profiles were carried out. The results compare the spray-bowl interaction of the new piston bowl designs with the baseline design. It was found that the lip location and center depth of the bowl profile are the critical design parameters that influence the air utilization and heat transfer losses. The impact of spray-bowl interaction on thermal efficiency of the engine is investigated.
  • Optimization of Intake Port and Pentroof Angle for Simultaneous Reduction of Fuel Consumption and Exhaust Emissions in a Gasoline Direct Injection Engine
    Om Prakash Saw, Srinivasa Krishna Addepalli, J.M. Mallikarjuna
    SAE International Journal of Engines, 2020
    <div>This article aims to identify the best combination of intake port angle (IPA) and cylinder head pentroof angle (PA) of a gasoline direct injection (GDI) engine to achieve a simultaneous reduction in the fuel consumption and the exhaust emissions using computational fluid dynamics (CFD) and optimization techniques. The present study is carried out on a single-cylinder, four-stroke GDI engine. The design space is bound by the range of the IPA (35°, 80°) and the PA (5°, 20°). The initial data set consists of 80 design points, which are generated using the uniform Latin hypercube (ULH) algorithm. CFD simulations were carried out at all the points in the initial data set using CONVERGE at engine speed of 2,000 rev/min and the overall equivalence ratio of 0.7 ± 0.05. A prediction model based on the support vector machine algorithm is generated between the design inputs and the output parameters viz., indicated specific fuel consumption (ISFC), hydrocarbon (HC), nitric oxides (NOx), and soot. After sufficient validation of the prediction model, it is used for the optimization study. The optimization is carried out using the MOGA-II algorithm. The optimization study predicted that the IPA of 58<b>°</b> and the PA of 13.4° results best, in simultaneous reduction of the fuel consumption and the emissions. The results of the optimization study are further validated using the CFD analysis, which is carried out at the optimum design point. From the results, it is concluded that the optimization-driven design techniques could be effectively used to improve the engine performance and reduce the emissions simultaneously.</div>
  • Quantitative Parametrization of Mixture Distribution in GDI Engines: A CFD Analysis
    S. Krishna Addepalli, J. M. Mallikarjuna
    Archives of Computational Methods in Engineering, 2019
  • Comparison of Conventional Intake Port and Swirl Intake Port on Mixture Formation in a GDI Engine - A CFD Analysis
    Yashas Karaya, Srinivasa Krishna Addepalli, J M Mallikarjuna
    SAE Technical Papers, 2019
  • Effects of Cylinder Head Geometry on Mixture Stratification, Combustion and Emissions in a GDI Engine - A CFD Analysis
    Om Prakash Saw, Srinivasa Krishna Addepalli, J M Mallikarjuna
    SAE Technical Papers, 2019
  • Parametric analysis of a 4-stroke GDI engine using CFD
    S. Krishna Addepalli, J.M. Mallikarjuna
    Alexandria Engineering Journal, 2018
  • Effect of Fuel Injector Location and Nozzle-Hole Orientation on Mixture Formation in a GDI Engine: A CFD Analysis
    Yashas Karaya, Srinivasa Krishna Addepalli, J M Mallikarjuna
    SAE Technical Papers, 2018
  • Effect of Engine Parameters on Mixture Stratification in a Wall-Guided GDI Engine - A Quantitative CFD Analysis
    Krishna S Addepalli, J M Mallikarjuna
    SAE International Journal of Commercial Vehicles, 2017
  • Effect of Mixture Distribution on Combustion and Emission Characteristics in a GDI Engine - A CFD Analysis
    S Krishna Addepalli, Om Prakash Saw, J M Mallikarjuna
    SAE Technical Papers, 2017
  • Effect of engine parameters on in-cylinder flows in a two-stroke gasoline direct injection engine
    Addepalli S. Krishna, J.M. Mallikarjuna, Davinder Kumar
    Applied Energy, 2016
  • In-cylinder flow analysis in a two-stroke engine - A comparison of different turbulence models using CFD
    Addepalli S Krishna, Jawali Maharudrappa Mallikarjuna, Kumar Davinder, Y Ramachandra Babu
    SAE Technical Papers, 2013
  • Effect of ports configuration on trapping efficiency of a two-stroke engine - A CFD analysis
    JM Mallikarjuna, Krishna Addepalli, Y Ramachandra Babu, Davinder Kumar
    SAE Technical Papers, 2011

RECENT SCHOLAR PUBLICATIONS

  • Modelling Ignition and Combustion in GDI Engines
    SK Addepalli, JM Mallikarjuna
    Modelling Spark Ignition Combustion, 241-300 , 2024
    2024
  • Modelling Spray in GDI Engines: Fuel Injection Modelling
    SK Addepalli, JM Mallikarjuna
    Modelling Spark Ignition Combustion, 339-389 , 2024
    2024
  • Modeling the impact of the fuel injection strategy on the combustion and performance characteristics of a heavy-duty GCI engine
    SK Addepalli, M Pamminger, R Scarcelli, T Wallner
    International Journal of Engine Research 25 (1), 24-46 , 2024
    2024
    Citations: 4
  • A CFD Study on Mixture Preparation and Combustion in a Heavy-Duty Locomotive Diesel Engine at High Load Condition
    SK Addepalli, GM Magnotti, S Som, P Sheth, V Jayakar, A Klingbeil, ...
    Internal Combustion Engine Division Fall Technical Conference 86540, V001T06A006 , 2022
    2022
    Citations: 2
  • The Impact of Fuel Injection Strategies and Compression Ratio on Combustion and Performance of a Heavy-Duty Gasoline Compression Ignition Engine
    M Pamminger, SK Addepalli, R Scarcelli, T Wallner
    SAE Powertrains, Fuels & Lubricants Conference & Exhibition , 2022
    2022
    Citations: 3
  • Multi-dimensional modeling of mixture preparation in a direct injection engine fueled with gaseous hydrogen
    SK Addepalli, Y Pei, Y Zhang, R Scarcelli
    International Journal of Hydrogen Energy 47 (67), 29085-29101 , 2022
    2022
    Citations: 57
  • Numerical investigation of the impact of fuel flow rate on combustion in a heavy-duty diesel engine with a multi-row nozzle injector
    SK Addepalli, R Scarcelli, Y Wang, R Vojtech, R Kumar, J Cigler
    WCX SAE World Congress Experience , 2022
    2022
    Citations: 7
  • Numerical investigation of the impact of spray–bowl interaction on thermal efficiency of a gasoline compression ignition engine
    SK Addepalli, M Pamminger, R Scarcelli, T Wallner
    Internal Combustion Engine Division Fall Technical Conference 85512, V001T01A004 , 2021
    2021
    Citations: 5
  • Numerical Investigation of the Impact of Fuel Injection Strategies on Combustion and Performance of a Gasoline Compression Ignition Engine
    SK Addepalli, M Pamminger, R Scarcelli, B Wang, T Wallner
    SAE Technical Paper , 2021
    2021
    Citations: 6
  • Optimization of Intake Port and Pentroof Angle for Simultaneous Reduction of Fuel Consumption and Exhaust Emissions in a GDI Engine
    S OmPrakash, A SrinivasaKrishna, JM Mallikarjuna
    SAE International Journal of Engines 13 (3) , 2020
    2020
    Citations: 2
  • Effects of Cylinder Head Geometry on Mixture Stratification, Combustion and Emissions in a GDI Engine-A CFD Analysis
    OP Saw, SK Addepalli, JM Mallikarjuna
    SAE Technical Paper , 2019
    2019
    Citations: 7
  • Comparison of Conventional Intake Port and Swirl Intake Port on Mixture Formation in a GDI Engine-A CFD Analysis
    Y Karaya, SK Addepalli, JM Mallikarjuna
    SAE Technical Paper , 2019
    2019
    Citations: 3
  • STUDY ON OPTIMIZATION OF MIXTURE DISTRIBUTION IN GASOLINE DIRECT INJECTION ENGINES
    SK Addepalli
    Indian Institute of Technology Madras , 2018
    2018
  • Effect of Fuel Injector Location and Nozzle-Hole Orientation on Mixture Formation in a GDI Engine: A CFD Analysis
    K Yashas, SK Addepalli, JM Mallikarjuna
    SAE World Congress 2018 , 2018
    2018
    Citations: 10
  • Quantitative Parametrization of Mixture Distribution in GDI Engines: A CFD Analysis
    SK Addepalli, JM Mallikarjuna
    Archives of Computational Methods in Engineering, 1-24 , 2018
    2018
    Citations: 14
  • Effect of Mixture Distribution on Combustion and Emission Characteristics in a GDI Engine – A CFD Analysis
    K Addepalli S, O Saw, JM Mallikarjuna
    13th International Conference on Engines & Vehicles , 2017
    2017
    Citations: 23
  • Effect of Engine Parameters on Mixture Stratification in a Wall-Guided GDI Engine-A Quantitative CFD Analysis
    KS Addepalli, JM Mallikarjuna
    SAE International Journal of Commercial Vehicles 10 (2017-01-0570), 562-571 , 2017
    2017
    Citations: 31
  • Effect of engine parameters on in-cylinder flows in a two-stroke gasoline direct injection engine
    AS Krishna, JM Mallikarjuna, D Kumar
    Applied energy 176, 282-294 , 2016
    2016
    Citations: 80
  • Parametric analysis of a 4-stroke GDI engine using CFD
    AS Krishna, JM Mallikarjuna
    Alexandria Engineering Journal 57 (1), 23-34 , 2016
    2016
    Citations: 8
  • In-cylinder flow analysis in a two-stroke engine-a comparison of different turbulence models using CFD
    AS Krishna, JM Mallikarjuna, K Davinder, YR Babu
    SAE Technical Paper , 2013
    2013
    Citations: 36

MOST CITED SCHOLAR PUBLICATIONS

  • Effect of engine parameters on in-cylinder flows in a two-stroke gasoline direct injection engine
    AS Krishna, JM Mallikarjuna, D Kumar
    Applied energy 176, 282-294 , 2016
    2016
    Citations: 80
  • Multi-dimensional modeling of mixture preparation in a direct injection engine fueled with gaseous hydrogen
    SK Addepalli, Y Pei, Y Zhang, R Scarcelli
    International Journal of Hydrogen Energy 47 (67), 29085-29101 , 2022
    2022
    Citations: 57
  • In-cylinder flow analysis in a two-stroke engine-a comparison of different turbulence models using CFD
    AS Krishna, JM Mallikarjuna, K Davinder, YR Babu
    SAE Technical Paper , 2013
    2013
    Citations: 36
  • Effect of Engine Parameters on Mixture Stratification in a Wall-Guided GDI Engine-A Quantitative CFD Analysis
    KS Addepalli, JM Mallikarjuna
    SAE International Journal of Commercial Vehicles 10 (2017-01-0570), 562-571 , 2017
    2017
    Citations: 31
  • Effect of Mixture Distribution on Combustion and Emission Characteristics in a GDI Engine – A CFD Analysis
    K Addepalli S, O Saw, JM Mallikarjuna
    13th International Conference on Engines & Vehicles , 2017
    2017
    Citations: 23
  • Quantitative Parametrization of Mixture Distribution in GDI Engines: A CFD Analysis
    SK Addepalli, JM Mallikarjuna
    Archives of Computational Methods in Engineering, 1-24 , 2018
    2018
    Citations: 14
  • Effect of Fuel Injector Location and Nozzle-Hole Orientation on Mixture Formation in a GDI Engine: A CFD Analysis
    K Yashas, SK Addepalli, JM Mallikarjuna
    SAE World Congress 2018 , 2018
    2018
    Citations: 10
  • Parametric analysis of a 4-stroke GDI engine using CFD
    AS Krishna, JM Mallikarjuna
    Alexandria Engineering Journal 57 (1), 23-34 , 2016
    2016
    Citations: 8
  • Numerical investigation of the impact of fuel flow rate on combustion in a heavy-duty diesel engine with a multi-row nozzle injector
    SK Addepalli, R Scarcelli, Y Wang, R Vojtech, R Kumar, J Cigler
    WCX SAE World Congress Experience , 2022
    2022
    Citations: 7
  • Effects of Cylinder Head Geometry on Mixture Stratification, Combustion and Emissions in a GDI Engine-A CFD Analysis
    OP Saw, SK Addepalli, JM Mallikarjuna
    SAE Technical Paper , 2019
    2019
    Citations: 7
  • Numerical Investigation of the Impact of Fuel Injection Strategies on Combustion and Performance of a Gasoline Compression Ignition Engine
    SK Addepalli, M Pamminger, R Scarcelli, B Wang, T Wallner
    SAE Technical Paper , 2021
    2021
    Citations: 6
  • Numerical investigation of the impact of spray–bowl interaction on thermal efficiency of a gasoline compression ignition engine
    SK Addepalli, M Pamminger, R Scarcelli, T Wallner
    Internal Combustion Engine Division Fall Technical Conference 85512, V001T01A004 , 2021
    2021
    Citations: 5
  • Effect of ports configuration on trapping efficiency of a two-stroke engine-A CFD analysis
    JM Mallikarjuna, K Addepalli, Y Ramachandra Babu, D Kumar
    10th International Conference on Engines & Vehicles 190563 , 2011
    2011
    Citations: 5
  • Modeling the impact of the fuel injection strategy on the combustion and performance characteristics of a heavy-duty GCI engine
    SK Addepalli, M Pamminger, R Scarcelli, T Wallner
    International Journal of Engine Research 25 (1), 24-46 , 2024
    2024
    Citations: 4
  • The Impact of Fuel Injection Strategies and Compression Ratio on Combustion and Performance of a Heavy-Duty Gasoline Compression Ignition Engine
    M Pamminger, SK Addepalli, R Scarcelli, T Wallner
    SAE Powertrains, Fuels & Lubricants Conference & Exhibition , 2022
    2022
    Citations: 3
  • Comparison of Conventional Intake Port and Swirl Intake Port on Mixture Formation in a GDI Engine-A CFD Analysis
    Y Karaya, SK Addepalli, JM Mallikarjuna
    SAE Technical Paper , 2019
    2019
    Citations: 3
  • A CFD Study on Mixture Preparation and Combustion in a Heavy-Duty Locomotive Diesel Engine at High Load Condition
    SK Addepalli, GM Magnotti, S Som, P Sheth, V Jayakar, A Klingbeil, ...
    Internal Combustion Engine Division Fall Technical Conference 86540, V001T06A006 , 2022
    2022
    Citations: 2
  • Optimization of Intake Port and Pentroof Angle for Simultaneous Reduction of Fuel Consumption and Exhaust Emissions in a GDI Engine
    S OmPrakash, A SrinivasaKrishna, JM Mallikarjuna
    SAE International Journal of Engines 13 (3) , 2020
    2020
    Citations: 2
  • Modelling Ignition and Combustion in GDI Engines
    SK Addepalli, JM Mallikarjuna
    Modelling Spark Ignition Combustion, 241-300 , 2024
    2024
  • Modelling Spray in GDI Engines: Fuel Injection Modelling
    SK Addepalli, JM Mallikarjuna
    Modelling Spark Ignition Combustion, 339-389 , 2024
    2024