完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Ul Islam, Badar | en_US |
dc.contributor.author | Mukhtar, Ahmad | en_US |
dc.contributor.author | Saqib, Sidra | en_US |
dc.contributor.author | Mahmood, Abid | en_US |
dc.contributor.author | Rafiq, Sikander | en_US |
dc.contributor.author | Hameed, Ayesha | en_US |
dc.contributor.author | Khan, Muhammad Saad | en_US |
dc.contributor.author | Hamid, Khalid | en_US |
dc.contributor.author | Ullah, Sami | en_US |
dc.contributor.author | Al-Sehemi, Abdullah G. | en_US |
dc.contributor.author | Ibrahim, Muhammad | en_US |
dc.date.accessioned | 2020-07-01T05:22:07Z | - |
dc.date.available | 2020-07-01T05:22:07Z | - |
dc.date.issued | 1970-01-01 | en_US |
dc.identifier.issn | 0930-7516 | en_US |
dc.identifier.uri | http://dx.doi.org/10.1002/ceat.201900600 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/154532 | - |
dc.description.abstract | The synthesis of a nanofluid from multiwalled carbon nanotubes (MWCNTs) and Kapok seed oil by a one-step method is reported. The nanofluid showed excellent stability of nanoparticle dispersion in the base fluid. Furthermore, this study deals with the prediction of the thermal conductivity of the MWCNTs-kapok seed oil nanofluid. To improve the prediction of the thermal conductivity of the nanofluid, the artificial neural network (ANN) computing approach was used with different algorithms including the back-propagation, Levenberg-Marquardt, and genetic algorithm (GA). Finally, the ANN-GA model is recommended for the prediction of thermal conductivity with higher accuracy. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | Kapok seed oil | en_US |
dc.subject | Multiwalled carbon nanotubes | en_US |
dc.subject | Nanofluid | en_US |
dc.subject | Thermal conductivity | en_US |
dc.title | Thermal Conductivity of Multiwalled Carbon Nanotubes-Kapok Seed Oil-Based Nanofluid | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1002/ceat.201900600 | en_US |
dc.identifier.journal | CHEMICAL ENGINEERING & TECHNOLOGY | en_US |
dc.citation.spage | 0 | en_US |
dc.citation.epage | 0 | en_US |
dc.contributor.department | 機械工程學系 | zh_TW |
dc.contributor.department | Department of Mechanical Engineering | en_US |
dc.identifier.wosnumber | WOS:000539601100001 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 期刊論文 |