Intelligent manufacturing and process control of LCM processes

LCM工艺的智能制造与过程控制

• 批准号: 327625-2006
• 负责人: Ruiz, Eduardo
• 金额: $ 1.38万
• 依托单位: École Polytechnique de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=364542
• 关键词: Intelligent; manufacturing; process; control; LCM

The applications of structural composites in the transportation, aeronautical, nautical and sport industries increase steadily as manufacturing costs decrease thanks to the usage of "Liquid Composite Molding" (LCM). In these composite manufacturing processes, the liquid reacting resin in injected through a carbon or glass fibrous reinforcement contained in a closed mold. These processes meet the environmental requirements of emission free harmful solvents. A growing industrial interest focuses today on the optimization of the manufacturing process in LCM. For that purpose, several factors must be considered such as the injection flow rate related to the macroscopic versus microscopic void formation, the mold and resin temperatures and the injection/venting strategy implemented. A key factor to improve liquid composite molding is the inclusion of a feedback control on processing parameters. This closed loop control will allow implementing optimized injection conditions (i.e., controlled injection flow rate with a variable resin injection temperature for example). The project aims at developing the necessary tools to control the injection conditions in LCM. Within the framework of this work, a sensitivity analysis of process parameters will be carried out. Then an experimental analysis of macro/micro voids formation will be performed and finally, numerical optimization tools will be modified to meet the requirements of the process optimization.

由于“液态复合材料成型”（LCM）的使用，结构复合材料在运输、航空、航海和体育行业的应用稳步增长，制造成本也随之降低。在这些复合材料制造工艺中，液体反应树脂通过包含在封闭模具中的碳或玻璃纤维增强物注射。这些工艺符合无有害溶剂排放的环保要求。如今，工业界越来越关注LCM制造工艺的优化。为此，必须考虑几个因素，例如与宏观与微观空隙形成相关的注射流速、模具和树脂温度以及实施的注射/排气策略。改善复合材料液态成型的一个关键因素是对工艺参数进行反馈控制。该闭环控制将允许实现优化的喷射条件（即，例如，具有可变树脂注射温度的受控注射流速）。该项目旨在开发必要的工具来控制LCM中的注射条件。在这项工作的框架内，将进行工艺参数的敏感性分析。然后将进行宏/微观空洞形成的实验分析，最后，将修改数值优化工具，以满足工艺优化的要求。