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Cite this DOI

10.46243/jst.2020.v5.i3.pp25-40 · Impact on Performance and Emission Analysis of Waste Cooking Derived Biodiesel Considering Compression Ratio, Blend Ratio, Injection Pressure and Load on Single Cylinder VCR Engine with Comparison of RSM and MLR Model

APA (7th edition)

Aditi Namboodiripad, & Nimal C N (2020). Impact on Performance and Emission Analysis of Waste Cooking Derived Biodiesel Considering Compression Ratio, Blend Ratio, Injection Pressure and Load on Single Cylinder VCR Engine with Comparison of RSM and MLR Model. *Journal of Science & Technology*, *5*(3), 25–40. https://doi.org/10.46243/jst.2020.v5.i3.pp25-40

⬇ text Italics are shown as *asterisks* in plain text — the journal or book title and the volume.

BibTeX

@article{aditinamboodiripad2020impact,
  author    = {Aditi Namboodiripad and Nimal C N},
  title     = {{Impact on Performance and Emission Analysis of Waste Cooking Derived Biodiesel Considering Compression Ratio, Blend Ratio, Injection Pressure and Load on Single Cylinder VCR Engine with Comparison of RSM and MLR Model}},
  journal   = {Journal of Science \& Technology},
  year      = {2020},
  month     = {apr},
  volume    = {5},
  number    = {3},
  pages     = {25--40},
  publisher = {Longman Publishers},
  issn      = {2456-5660},
  doi       = {10.46243/jst.2020.v5.i3.pp25-40},
  url       = {https://doi.org/10.46243/jst.2020.v5.i3.pp25-40},
  language  = {en},
  abstract  = {The main purpose of this research is to evaluate the predicted values of Response Surface Method (RSM) and Multiple Linear Regression(MLR) model for the Brake power (BP), Carbon monoxide (CO), Hydro carbon (HC) and oxides of Nitrogen (NOX) of VCR compression ignition engine operated by biodiesel made from waste cooking oil and its blend (0\%, 10\%, 20\%), compression ratio (14.5, 15.5, 16.5) Injection pressure (150, 190, 239 bar) and variable load (1 ,4, 7 kg). In this experiment \% of blend, CR, IP and Load as input parameters. Central composite method of RSM was used for modeling and analyzing the response parameters in Minitab-17 software. After experiments conclude that optimization results was BP = 2.30 KW, CO = 0.754 \% V, HC 52 ppm, NOX = 598 ppm by the mathematical modeling. The predictions of RSM model are more accurate with error less than 5\% as compare to MLR model.}
}

⬇ .bib

RIS (EndNote, Zotero, Mendeley)

TY  - JOUR
TI  - Impact on Performance and Emission Analysis of Waste Cooking Derived Biodiesel Considering Compression Ratio, Blend Ratio, Injection Pressure and Load on Single Cylinder VCR Engine with Comparison of RSM and MLR Model
AU  - Aditi Namboodiripad
AU  - Nimal C N
JO  - Journal of Science & Technology
PY  - 2020
DA  - 2020/04/29/
VL  - 5
IS  - 3
SP  - 25
EP  - 40
PB  - Longman Publishers
SN  - 2456-5660
LA  - en
AB  - The main purpose of this research is to evaluate the predicted values of Response Surface Method (RSM) and Multiple Linear Regression(MLR) model for the Brake power (BP), Carbon monoxide (CO), Hydro carbon (HC) and oxides of Nitrogen (NOX) of VCR compression ignition engine operated by biodiesel made from waste cooking oil and its blend (0%, 10%, 20%), compression ratio (14.5, 15.5, 16.5) Injection pressure (150, 190, 239 bar) and variable load (1 ,4, 7 kg). In this experiment % of blend, CR, IP and Load as input parameters. Central composite method of RSM was used for modeling and analyzing the response parameters in Minitab-17 software. After experiments conclude that optimization results was BP = 2.30 KW, CO = 0.754 % V, HC 52 ppm, NOX = 598 ppm by the mathematical modeling. The predictions of RSM model are more accurate with error less than 5% as compare to MLR model.
DO  - 10.46243/jst.2020.v5.i3.pp25-40
UR  - https://doi.org/10.46243/jst.2020.v5.i3.pp25-40
ER  -

⬇ .ris

CSL-JSON

{
    "type": "article-journal",
    "id": "10.46243/jst.2020.v5.i3.pp25-40",
    "DOI": "10.46243/jst.2020.v5.i3.pp25-40",
    "URL": "https://doi.org/10.46243/jst.2020.v5.i3.pp25-40",
    "title": "Impact on Performance and Emission Analysis of Waste Cooking Derived Biodiesel Considering Compression Ratio, Blend Ratio, Injection Pressure and Load on Single Cylinder VCR Engine with Comparison of RSM and MLR Model",
    "source": "Smart Scholars DOI Registry",
    "container-title": "Journal of Science & Technology",
    "author": [
        {
            "family": "Aditi Namboodiripad"
        },
        {
            "family": "Nimal C N"
        }
    ],
    "issued": {
        "date-parts": [
            [
                2020,
                4,
                29
            ]
        ]
    },
    "volume": "5",
    "issue": "3",
    "page": "25-40",
    "publisher": "Longman Publishers",
    "language": "en",
    "abstract": "The main purpose of this research is to evaluate the predicted values of Response Surface Method (RSM) and Multiple Linear Regression(MLR) model for the Brake power (BP), Carbon monoxide (CO), Hydro carbon (HC) and oxides of Nitrogen (NOX) of VCR compression ignition engine operated by biodiesel made from waste cooking oil and its blend (0%, 10%, 20%), compression ratio (14.5, 15.5, 16.5) Injection pressure (150, 190, 239 bar) and variable load (1 ,4, 7 kg). In this experiment % of blend, CR, IP and Load as input parameters. Central composite method of RSM was used for modeling and analyzing the response parameters in Minitab-17 software. After experiments conclude that optimization results was BP = 2.30 KW, CO = 0.754 % V, HC 52 ppm, NOX = 598 ppm by the mathematical modeling. The predictions of RSM model are more accurate with error less than 5% as compare to MLR model.",
    "ISSN": "2456-5660"
}

⬇ .json What citeproc and reference managers read; the DOI system hands it out for Accept: application/vnd.citationstyles.csl+json, and so does this registry's resolver.

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