An experimental study of the biogas-diesel HCCI mode of engine operation

By S. S. Nathan, J. Mallikarjuna, A. Ramesh. 2010

236 citations recorded by the source corpus.

Subfields: Automotive Engineering, Biomedical Engineering, Fluid Flow and Transfer Processes

View Paper: https://www.semanticscholar.org/paper/fd943c00e024541d08f2de4150f84a59bc49c305

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. S. Murugan
2. Debabrata Barik

In Biomedical Engineering

1. S. Murugan
2. Debabrata Barik

In Fluid Flow and Transfer Processes

1. S. Murugan
2. Debabrata Barik

Citations in the corpus

• An Artificial Neural Network and Genetic Algorithm Optimized Model for Biogas Production from Co-digestion of Seed Cake of Karanja and Cattle Dung (2015, methodology): “The biogas obtained from sample S3 had about 17 % CO2, which acted as an agent for the reduction of smoke and NOx emissions, when it was used in an SI (spark ignition), CI (compression ignition), HCCI (homogeneous charge compression ignition) and dual fuel engines [36–40].”