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PubMed Publications| Keyword search (4,163 papers available) |  |
"Medraj M" Authored Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Application of machine learning for predicting the incubation period of water droplet erosion in metals | AlHammad K; Medraj M; Tembely M; | 40612685 ENCS |
| 2 | Optimization of the Electrospun Niobium-Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology | Fatile BO; Pugh M; Medraj M; | 34201513 ENCS |
| 3 | Effect of homogenization and solution treatments time on the elevated-temperature mechanical behavior of Inconel 718 fabricated by laser powder bed fusion. | Fayed EM, Saadati M, Shahriari D, Brailovski V, Jahazi M, Medraj M | 33479475 ENCS |
| 4 | Influence of Homogenization and Solution Treatments Time on the Microstructure and Hardness of Inconel 718 Fabricated by Laser Powder Bed Fusion Process. | Fayed EM, Shahriari D, Saadati M, Brailovski V, Jahazi M, Medraj M | 32516909 ENCS |
| 5 | Water Droplet Erosion of Wind Turbine Blades: Mechanics, Testing, Modeling and Future Perspectives. | Elhadi Ibrahim M, Medraj M | 31906204 ENCS |
| Title: | Optimization of the Electrospun Niobium-Tungsten Oxide Nanofibers Diameter Using Response Surface Methodology | ||||
| Authors: | Fatile BO, Pugh M, Medraj M | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34201513/ | ||||
| DOI: | 10.3390/nano11071644 | ||||
| Publication: | Nanomaterials (Basel, Switzerland) | ||||
| Keywords: | electrospinning; nanofibers; niobium-tungsten oxide; optimization; response surface methodology; | ||||
| PMID: | 34201513 | Category: | Date Added: | 2021-07-02 | |
| Dept Affiliation: |
ENCS
1 Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, QC H3G 1M8, Canada. |
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Description: |
The present research aimed to investigate the effect of working parameters on the electrospinning of niobium-tungsten oxide nanofibers and optimize the process using central composite design (CCD) based on the response surface methodology (RSM). An experiment was designed to assess the effects of five variables including the applied voltage (V), spinning distance (D), polymer concentration (P), flow rate (F), and addition of NaCl (N) on the resulting diameter of the nanofibers. Meanwhile, a second-order prediction model of nanofibers diameter was fitted and verified using analysis of variance (ANOVA). The results show that the diameter of the nanofibers was significantly influenced by all the variables except the flow rate. Some second-order and cross factor interactions such as VD, DP, PF, PN, and P2 also have significant effects on the diameter of the nanofibers. The results of the ANOVA yielded R2 and adjusted R2 values of 0.96 and 0.93 respectively, this affirmed that the predictive model fitted well with the experimental data. Furthermore, the process parameters were optimized using the CCD method and a maximum desirability function of 226 nm was achieved for the diameter of the nanofibers. This is very close to the 233 nm diameter obtained from a confirmatory experiment using the optimum conditions. Therefore, the model is representative of the process, and it could be used for future studies for the reduction of the diameter of electrospun nanofibers. |
