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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 44, 2022 - Issue 1
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Research Article

Performance characteristics of a variable compression ratio CI engine simulation using artificial neural network

Ashok Kumar Ta School of Mechanical Engineering, Centre of Bio-Energy, Thanjavur, IndiaView further author information
,
Mohamed Musthafa M.a School of Mechanical Engineering, Centre of Bio-Energy, Thanjavur, IndiaCorrespondence[email protected]
View further author information
,
Chandramouli Rb School of Mechanical Engineering, SASTRA Deemed University, Thanjavur, IndiaView further author information
,
T. K. Kandavelb School of Mechanical Engineering, SASTRA Deemed University, Thanjavur, IndiaORCID Iconhttps://orcid.org/0000-0002-3652-3941View further author information
ORCID Icon,
T Mohan raja School of Mechanical Engineering, Centre of Bio-Energy, Thanjavur, IndiaView further author information
&
Sridharan Gb School of Mechanical Engineering, SASTRA Deemed University, Thanjavur, IndiaView further author information
Pages 1912-1922 | Received 18 Jan 2019, Accepted 12 Jul 2019, Published online: 09 Aug 2019

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Karthikeyan Subramanian, Sathiyagnanam Amudhavalli Paramasivam, Damodharan Dillikannan, Manickam Muthu & Prasanna Raj Yadav Sanjeevi. (2022) Prediction of thermal performance and exhaust emissions of a diesel engine fuelled with Simmondsia Chinensis oil methyl ester using ANN. International Journal of Ambient Energy 0:0, pages 1-14.
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Prabhakar Sharma. (2020) Gene expression programming-based model prediction of performance and emission characteristics of a diesel engine fueled with linseed oil biodiesel/diesel blends: An artificial intelligence approach. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-15.
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Kiran Kumar Billa, G. R. K. Sastry & Madhujit Deb. (2020) Characterization of emission-performance paradigm of a DI-CI engine using artificial intelligent based multi objective response surface methodology model fueled with diesel-biodiesel blends. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 0:0, pages 1-30.
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Articles from other publishers (4)

Sivanesan Murugesan, S. Srihari & D. Senthilkumar. Investigation of Usage of Artificial Neural Network Algorithms for Prediction of In-Cylinder Pressure in Direct Injection Engines. Investigation of Usage of Artificial Neural Network Algorithms for Prediction of In-Cylinder Pressure in Direct Injection Engines.
Vinay Arora, Sunil Kumar Mahla, Rohan Singh Leekha, Amit Dhir, Kyungroul Lee & Hoon Ko. (2021) Intervention of Artificial Neural Network with an Improved Activation Function to Predict the Performance and Emission Characteristics of a Biogas Powered Dual Fuel Engine. Electronics 10:5, pages 584.
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Karthikeyan Subramanian, A.P. Sathiyagnanam, D. Damodharan & N. Sivashanmugam. (2021) Artificial Neural Network based prediction of a direct injected diesel engine performance and emission characteristics powered with biodiesel. Materials Today: Proceedings 43, pages 1049-1056.
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Someet Singh, Anuj Jain & Sunil Kumar Mahla. (2020) Sampled-data model validation: An algorithm and experimental setup of dual fuel IC engine. Fuel 279, pages 118517.
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