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contributor authorGongadze, Ekaterina
contributor authorDighton, Chris
contributor authorNash, Gregory
contributor authorMoss, Martin
contributor authorHemingway, Brett
contributor authorBelnoue, Jonathan P.-H.
contributor authorHallett, Stephen R.
date accessioned2023-11-29T19:26:29Z
date available2023-11-29T19:26:29Z
date copyright6/5/2023 12:00:00 AM
date issued6/5/2023 12:00:00 AM
date issued2023-06-05
identifier issn1087-1357
identifier othermanu_145_9_091006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4294762
description abstractComposite materials and especially those made from pre-impregnated (prepreg) material are widely used in the aerospace industry. To achieve the tight assembly dimensional tolerances required, manufacturers rely on additional manufacturing steps like shimming or machining, which generate extra waste, which are time-consuming and expensive. Prepreg sheets come naturally with fiber and resin volume content variability that leads manufacturers to guarantee cured ply thicknesses within a typical +/−5% margin of their nominal values. For thick laminates, this can equate to a thickness variability of as much as a few millimeter. To solve the issue, it is proposed to twin in situ laser measurements of the uncured prepreg thickness with numerical simulations of the laminate autoclave consolidation and cure process and to adjust the number of additional sacrificial plies in the laminate based on the model predictions. This reduces the need for expensive and time-consuming trial and error approaches, extra machining operations, and results in the production of a part with high accuracy dimensions. Data for IM7/8552 and IM7/977-3 are presented to demonstrate the potential of the method to reach an almost exact target thickness for flat panels.
publisherThe American Society of Mechanical Engineers (ASME)
titleThickness Control of Autoclave-Molded Composite Laminates
typeJournal Paper
journal volume145
journal issue9
journal titleJournal of Manufacturing Science and Engineering
identifier doi10.1115/1.4062581
journal fristpage91006-1
journal lastpage91006-10
page10
treeJournal of Manufacturing Science and Engineering:;2023:;volume( 145 ):;issue: 009
contenttypeFulltext


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