T�tulo: THICKNESS VARIATION REDUCTION FOR VARTM PROCESS: MODELING, DESIGN AND CONTROL
Editor: VDM Verlag Dr. M�ller
Fecha de publicaci�n: 2009
Idioma: Ingl�s
ISBN 10: 3639128710
ISBN 13: 9783639128710
Encuadernaci�n: Encuadernaci�n de tapa blanda
Estado: New

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Sinopsis

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.

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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.

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