Vacuum-assisted resin transfer molding (VARTM), one of a commonly used composite manufacturing processes, is becoming more popular. To optimize the manufacturing process, reduce costs, and maintain consistent part quality, knowledge of mold filling, especially flow through thickness direction is required. This work investigates the mechanism of the thickness variation dynamic change during the infusion and curing/relaxing processes. A numerical model is developed to track the thickness change of the bagging film free surface. In addition, this work analyzes the sources of the uncertainties and quantifies the magnitudes of the uncertainties by error propagation theory to characterize the statistical properties of the permeability values. Factors related to the part thickness variation are identified with design of experiments method and a better tooling design is obtained by configuring the different flow media. The parameter uncertainty that leads to part-to-part thickness variation is also investigated and a stochastic process simulation coupled with optimization is effectively demonstrated.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Dr. Jing Li is a Senior Engineer at Cummins Inc. His research interests include advanced measurement technology and statistical modeling. He received his bachelor degree from Beijing University of Aeronautics & Astronautics (China) and master¿s and doctoral degrees in Industrial Engineering from Florida State University.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Zustand: New. In. Artikel-Nr. ria9783639128710_new
Anzahl: Mehr als 20 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. THICKNESS VARIATION REDUCTION FOR VARTM PROCESS | MODELING, DESIGN AND CONTROL | Jing Li | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639128710 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu. Artikel-Nr. 101649590
Anzahl: 5 verfügbar