Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method
Statistical modeling of the dip-spin coating process to describe colloidal PTFE dispersion coating on the external surface of a small diameter hollow tube was developed by using 24 factorial design with a center point to predict the coating thickness in a range of 4–10 μm. The coating parameters inc...
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Advances in Materials Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2017/9639306 |
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| author | Sorasutee Buapool Nandh Thavarungkul Nakorn Srisukhumbowornchai Preecha Termsuksawad |
| author_facet | Sorasutee Buapool Nandh Thavarungkul Nakorn Srisukhumbowornchai Preecha Termsuksawad |
| author_sort | Sorasutee Buapool |
| collection | DOAJ |
| description | Statistical modeling of the dip-spin coating process to describe colloidal PTFE dispersion coating on the external surface of a small diameter hollow tube was developed by using 24 factorial design with a center point to predict the coating thickness in a range of 4–10 μm. The coating parameters included viscosity, withdrawal rate, spin speed, and immersion time. The adequacy of the predicted model was verified by coefficients of determination and lack-of-fit test. Model accuracy was verified by comparing predicted values with experimental results. The significant interaction effects on the coating thickness were three-way interaction among withdrawal rate, spin speed, and immersion time and two-way interactions between viscosity and withdrawal rate, viscosity and spin speed, and viscosity and immersion time. Cube plot for coating thickness reveals a trend of increasing coating thickness towards high levels of viscosity, withdrawal rate, and immersion time and lower level of spin speed. |
| format | Article |
| id | doaj-art-a76448603df24fcab6fbc09493d9d0d8 |
| institution | Kabale University |
| issn | 1687-8434 1687-8442 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Materials Science and Engineering |
| spelling | doaj-art-a76448603df24fcab6fbc09493d9d0d82025-02-03T05:54:41ZengWileyAdvances in Materials Science and Engineering1687-84341687-84422017-01-01201710.1155/2017/96393069639306Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design MethodSorasutee Buapool0Nandh Thavarungkul1Nakorn Srisukhumbowornchai2Preecha Termsuksawad3Integrated Product Design and Manufacturing Program, Division of Materials Technology, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, ThailandIntegrated Product Design and Manufacturing Program, Division of Materials Technology, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, ThailandIntegrated Product Design and Manufacturing Program, Division of Materials Technology, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, ThailandIntegrated Product Design and Manufacturing Program, Division of Materials Technology, School of Energy, Environment and Materials, King Mongkut’s University of Technology Thonburi, 126 Pracha Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, ThailandStatistical modeling of the dip-spin coating process to describe colloidal PTFE dispersion coating on the external surface of a small diameter hollow tube was developed by using 24 factorial design with a center point to predict the coating thickness in a range of 4–10 μm. The coating parameters included viscosity, withdrawal rate, spin speed, and immersion time. The adequacy of the predicted model was verified by coefficients of determination and lack-of-fit test. Model accuracy was verified by comparing predicted values with experimental results. The significant interaction effects on the coating thickness were three-way interaction among withdrawal rate, spin speed, and immersion time and two-way interactions between viscosity and withdrawal rate, viscosity and spin speed, and viscosity and immersion time. Cube plot for coating thickness reveals a trend of increasing coating thickness towards high levels of viscosity, withdrawal rate, and immersion time and lower level of spin speed.http://dx.doi.org/10.1155/2017/9639306 |
| spellingShingle | Sorasutee Buapool Nandh Thavarungkul Nakorn Srisukhumbowornchai Preecha Termsuksawad Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method Advances in Materials Science and Engineering |
| title | Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method |
| title_full | Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method |
| title_fullStr | Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method |
| title_full_unstemmed | Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method |
| title_short | Modeling and Analysis of the Effect of Dip-Spin Coating Process Parameters on Coating Thickness Using Factorial Design Method |
| title_sort | modeling and analysis of the effect of dip spin coating process parameters on coating thickness using factorial design method |
| url | http://dx.doi.org/10.1155/2017/9639306 |
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