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Optimization in the performance and emission parameters of a DI diesel engine fuelled with pentanol added Calophyllum inophyllum/diesel blends using response surface methodology

Environmental Science and Pollution Research volume 25, pages 29115–29128 (2018)Cite this article

Abstract

The primary objective of this work was to enhance the performance and emission of the computerized variable compression ratio (VCR) diesel engine fuelled with pentanol/Calophyllum inophyllum (CI)/diesel fuel blends. Based on the prerequisite for the current research, response surface methodology (RSM), an optimization technique, was adopted for the process parameters compression ratio (CR), load and fuel blends, and the optimized responses like brake thermal efficiency (BTE), brake specific fuel consumption (BSFC), oxides of nitrogen (NOx), carbon monoxide (CO), carbon dioxide (CO2), hydrocarbon (HC), and smoke were revealed with the help of Derringer’s desirability approach. From the results, it is notified that pentanol-fuelled engine showed better performance and emissions at 17.5 CR, P20C20 (pentanol 20%+Calophyllum inophyllum 20%+diesel 60%) blend and 2.5 bmep (brake mean effective pressure) load conditions. The observed mathematical models and validation experiments show that the VCR diesel engine exhibits maximum efficiency and minimum emissions at the optimized input parameters.

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Abbreviations

CI :

Calophyllum inophyllum

DI :

Direct injection

CO :

Carbon monoxide

CO 2 :

Carbon dioxide

NO x :

Oxides of nitrogen

NO :

Nitric oxide

HC :

Hydrocarbon

VCR :

Variable compression ratio

P10C20 :

Pentanol 10%+Calophyllum inophyllum 20%+diesel 70%

P15C20 :

Pentanol 15%+Calophyllum inophyllum 20%+diesel 65%

P20C20 :

Pentanol 20%+Calophyllum inophyllum 20%+diesel 60%

CI20:

Calophyllum inophyllum 20%+diesel 80%

BTE :

Brake thermal efficiency

BSFC :

Brake specific fuel consumption

bmep :

Brake mean effective pressure

CR :

Compression ratio

MDS:

Modular diagnostic system

RSM:

Response surface methodology

ANN:

Artificial neural network

DOE:

Design of experiments

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Affiliations

  1. Department of Mechanical Engineering, Research Scholar, Government College of Technology, Coimbatore, 641013, India

    Purnachandran Ramakrishnan

  2. Dindigul, India

    Purnachandran Ramakrishnan

  3. Department of Mechanical Engineering, Faculty of Engineering, Government College of Technology, Coimbatore, 641013, India

    Ramesh Kasimani

  4. Department of Mechanical Engineering, Faculty of Engineering, VV College of Engineering, Tirunelveli, 627657, India

    Mohamed Shameer Peer

Authors
  1. Purnachandran Ramakrishnan
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  2. Ramesh Kasimani
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  3. Mohamed Shameer Peer
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Ramakrishnan, P., Kasimani, R. & Peer, M.S. Optimization in the performance and emission parameters of a DI diesel engine fuelled with pentanol added Calophyllum inophyllum/diesel blends using response surface methodology. Environ Sci Pollut Res 25, 29115–29128 (2018). https://doi.org/10.1007/s11356-018-2867-4

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  • DOI: https://doi.org/10.1007/s11356-018-2867-4

Keywords

  • Pentanol
  • Calophyllum inophyllum
  • Performance
  • Emission
  • Combustion
  • Compression ratio
  • Response surface methodology