1 resultado para Consumption Predicting Model
em Digital Commons - Montana Tech
Filtro por publicador
- Repository Napier (2)
- Aberdeen University (1)
- Abertay Research Collections - Abertay University’s repository (1)
- Academic Archive On-line (Karlstad University; Sweden) (1)
- Academic Archive On-line (Stockholm University; Sweden) (1)
- Academic Research Repository at Institute of Developing Economies (4)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (3)
- AMS Tesi di Dottorato - Alm@DL - Università di Bologna (11)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- ArchiMeD - Elektronische Publikationen der Universität Mainz - Alemanha (1)
- Archive of European Integration (1)
- Aston University Research Archive (21)
- Biblioteca Digital | Sistema Integrado de Documentación | UNCuyo - UNCUYO. UNIVERSIDAD NACIONAL DE CUYO. (1)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (15)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (197)
- Biblioteca Virtual del Sistema Sanitario Público de Andalucía (BV-SSPA), Junta de Andalucía. Consejería de Salud y Bienestar Social, Spain (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (36)
- Brock University, Canada (7)
- Bucknell University Digital Commons - Pensilvania - USA (4)
- Bulgarian Digital Mathematics Library at IMI-BAS (2)
- CentAUR: Central Archive University of Reading - UK (79)
- CiencIPCA - Instituto Politécnico do Cávado e do Ave, Portugal (1)
- Cochin University of Science & Technology (CUSAT), India (1)
- Collection Of Biostatistics Research Archive (2)
- Comissão Econômica para a América Latina e o Caribe (CEPAL) (1)
- Consorci de Serveis Universitaris de Catalunya (CSUC), Spain (38)
- CORA - Cork Open Research Archive - University College Cork - Ireland (2)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (6)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- DI-fusion - The institutional repository of Université Libre de Bruxelles (3)
- Digital Commons - Michigan Tech (11)
- Digital Commons - Montana Tech (1)
- Digital Commons @ DU | University of Denver Research (1)
- Digital Commons at Florida International University (29)
- Digital Peer Publishing (1)
- DigitalCommons@The Texas Medical Center (9)
- DigitalCommons@University of Nebraska - Lincoln (1)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (15)
- DRUM (Digital Repository at the University of Maryland) (1)
- Duke University (3)
- eResearch Archive - Queensland Department of Agriculture; Fisheries and Forestry (2)
- Glasgow Theses Service (1)
- Greenwich Academic Literature Archive - UK (2)
- Institute of Public Health in Ireland, Ireland (1)
- Institutional Repository of Leibniz University Hannover (2)
- Instituto Gulbenkian de Ciência (1)
- Instituto Nacional de Saúde de Portugal (1)
- Instituto Politécnico de Viseu (3)
- Instituto Politécnico do Porto, Portugal (9)
- Iowa Publications Online (IPO) - State Library, State of Iowa (Iowa), United States (1)
- Martin Luther Universitat Halle Wittenberg, Germany (1)
- Massachusetts Institute of Technology (3)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (2)
- Open University Netherlands (1)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (2)
- Portal de Revistas Científicas Complutenses - Espanha (3)
- Publishing Network for Geoscientific & Environmental Data (7)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (4)
- RCAAP - Repositório Científico de Acesso Aberto de Portugal (1)
- Repositório Científico da Universidade de Évora - Portugal (5)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (8)
- Repositório da Produção Científica e Intelectual da Unicamp (37)
- Repositório da Universidade Federal do Espírito Santo (UFES), Brazil (1)
- Repositório digital da Fundação Getúlio Vargas - FGV (17)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (32)
- Research Open Access Repository of the University of East London. (2)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (13)
- School of Medicine, Washington University, United States (1)
- Scielo Saúde Pública - SP (13)
- Scottish Institute for Research in Economics (SIRE) (SIRE), United Kingdom (12)
- Universidad de Alicante (9)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (23)
- Universidade do Minho (4)
- Universidade Técnica de Lisboa (1)
- Universitat de Girona, Spain (2)
- Université de Lausanne, Switzerland (49)
- Université de Montréal, Canada (4)
- University of Connecticut - USA (2)
- University of Michigan (14)
- University of Queensland eSpace - Australia (44)
- University of Washington (3)
- WestminsterResearch - UK (1)
Resumo:
Electrospinning (ES) can readily produce polymer fibers with cross-sectional dimensions ranging from tens of nanometers to tens of microns. Qualitative estimates of surface area coverage are rather intuitive. However, quantitative analytical and numerical methods for predicting surface coverage during ES have not been covered in sufficient depth to be applied in the design of novel materials, surfaces, and devices from ES fibers. This article presents a modeling approach to ES surface coverage where an analytical model is derived for use in quantitative prediction of surface coverage of ES fibers. The analytical model is used to predict the diameter of circular deposition areas of constant field strength and constant electrostatic force. Experimental results of polyvinyl alcohol fibers are reported and compared to numerical models to supplement the analytical model derived. The analytical model provides scientists and engineers a method for estimating surface area coverage. Both applied voltage and capillary-to-collection-plate separation are treated as independent variables for the analysis. The electric field produced by the ES process was modeled using COMSOL Multiphysics software to determine a correlation between the applied field strength and the size of the deposition area of the ES fibers. MATLAB scripts were utilized to combine the numerical COMSOL results with derived analytical equations. Experimental results reinforce the parametric trends produced via modeling and lend credibility to the use of modeling techniques for the qualitative prediction of surface area coverage from ES. (Copyright: 2014 American Vacuum Society.)