E. Gongadze, Chris Dighton, Gregory Nash, Martin Moss, Brett Hemingway, J. Belnoue, S. Hallett
{"title":"Thickness control of autoclave-moulded composite laminates","authors":"E. Gongadze, Chris Dighton, Gregory Nash, Martin Moss, Brett Hemingway, J. Belnoue, S. Hallett","doi":"10.1115/1.4062581","DOIUrl":null,"url":null,"abstract":"\n Composite 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, are time-consuming and expensive. Prepreg sheets come naturally with fibre 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 mm. 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. Data for IM7/8552 and IM7/977-3 is presented to demonstrate the potential of the method to reach an almost exact target thickness for flat panels.","PeriodicalId":16299,"journal":{"name":"Journal of Manufacturing Science and Engineering-transactions of The Asme","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Manufacturing Science and Engineering-transactions of The Asme","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1115/1.4062581","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, MANUFACTURING","Score":null,"Total":0}
引用次数: 0
Abstract
Composite 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, are time-consuming and expensive. Prepreg sheets come naturally with fibre 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 mm. 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. Data for IM7/8552 and IM7/977-3 is presented to demonstrate the potential of the method to reach an almost exact target thickness for flat panels.
期刊介绍:
Areas of interest including, but not limited to: Additive manufacturing; Advanced materials and processing; Assembly; Biomedical manufacturing; Bulk deformation processes (e.g., extrusion, forging, wire drawing, etc.); CAD/CAM/CAE; Computer-integrated manufacturing; Control and automation; Cyber-physical systems in manufacturing; Data science-enhanced manufacturing; Design for manufacturing; Electrical and electrochemical machining; Grinding and abrasive processes; Injection molding and other polymer fabrication processes; Inspection and quality control; Laser processes; Machine tool dynamics; Machining processes; Materials handling; Metrology; Micro- and nano-machining and processing; Modeling and simulation; Nontraditional manufacturing processes; Plant engineering and maintenance; Powder processing; Precision and ultra-precision machining; Process engineering; Process planning; Production systems optimization; Rapid prototyping and solid freeform fabrication; Robotics and flexible tooling; Sensing, monitoring, and diagnostics; Sheet and tube metal forming; Sustainable manufacturing; Tribology in manufacturing; Welding and joining