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Response Surface Methodology and Artificial Neural Networks-Based Yield Optimization of Biodiesel So...

Response Surface Methodology and Artificial Neural Networks-Based Yield Optimization of Biodiesel So...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2670175719

Response Surface Methodology and Artificial Neural Networks-Based Yield Optimization of Biodiesel Sourced from Mixture of Palm and Cotton Seed Oil

About this item

Full title

Response Surface Methodology and Artificial Neural Networks-Based Yield Optimization of Biodiesel Sourced from Mixture of Palm and Cotton Seed Oil

Publisher

Basel: MDPI AG

Journal title

Sustainability, 2022-05, Vol.14 (10), p.6130

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In this present study, cold flow properties of biodiesel produced from palm oil were improved by adding cotton seed oil into palm oil. Three different mixtures of palm and cotton oil were prepared as P50C50, P60C40, and P70C30. Among three oil mixtures, P60C40 was selected for biodiesel production via ultrasound assisted transesterification process...

Alternative Titles

Full title

Response Surface Methodology and Artificial Neural Networks-Based Yield Optimization of Biodiesel Sourced from Mixture of Palm and Cotton Seed Oil

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2670175719

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2670175719

Other Identifiers

ISSN

2071-1050

E-ISSN

2071-1050

DOI

10.3390/su14106130

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