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Thickness Variation Reduction for Vartm Process

Jing Li

ISBN 10: 3639128710 / ISBN 13: 9783639128710
Published by VDM Verlag
New Condition: New Soft cover
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144 pages. Dimensions: 8.8in. x 5.8in. x 0.1in.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 curingrelaxing 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. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN. Bookseller Inventory # 9783639128710

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Bibliographic Details

Title: Thickness Variation Reduction for Vartm ...

Publisher: VDM Verlag

Binding: Paperback

Book Condition:New

Book Type: Paperback

About this title

Synopsis:

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.

About the Author:

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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