AMSURFIN - Additive Manufacturing SURface FINishing - An automated intelligent solution for polymer parts

AMSURFIN - 增材制造表面精加工 - 聚合物零件的自动化智能解决方案

• 批准号: 103275
• 金额: $ 50.52万
• 依托单位: ADDITIVE MANUFACTURING TECHNOLOGIES LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=103275
• 关键词: AMSURFIN; Additive; Manufacturing; SURface; FINishing

Our vision is to create an automated intelligent post processing machine, capable of finishingadditively manufactured thermoplastic polymer parts to an injection moulded level surface finish.Current finishing methods are labour intensive, costly and time consuming. Accounting for between 5-60% _\[Innovate UK funded FACTUM project\]_ of the cost depending on part complexity, size andvolume. This machine will address the pressing challenge in additive manufacturing of post processsurface finishing, particularly at high production volumes.The project team's objectives are to:1. Create a saleable automated post processing machine capable of generating a repeatable andreproducible surface finish equivalent to that achieved in injection moulding for additivelymanufactured parts.2. Develop intelligent algorithms that control the amount of post processing for a given material andgeometric design.3. Develop a machine that is integrated into the digital manufacturing chain.The project is focused on:Automated and predictable surface finishing for thermoplastic polymer parts.Significant quality improvement of the finished part.Reducing costs through the elimination of manual surface finishing.Significantly improving part turnaround time.Innovation lies at the heart of the machine through:Use of proprietary process, discovered by the University of Sheffield, that smooths the surface ofparts using solvents.Use of automated process feedback to control the level of finishing applied.Use of algorithms to manage different materials and geometric designs thereby creating an intelligentmachine architecture.

我们的愿景是创建一种自动化的智能后加工机，能够为注射模制水平的表面饰面完成制造的热塑性聚合物零件。电流完成方法是劳动力密集，昂贵且耗时的。根据零件复杂性，尺寸和Volume的成本，占5-60％_ \ [Innovate Inovate Factum Project \] _的占费用。这台机器将应对后处理后表面处理的增材制造中的紧迫挑战，尤其是在高生产量下。项目团队的目标是：1。创建可销售的自动化后加工机器，能够生成可重复的且可复制的表面表面处理，相当于在增材制造的零件中的注射成型零件中获得的表面表面。2。开发智能算法，以控制给定材料和几何设计的后处理量3。开发一台已集成到数字制造链中的机器。该项目重点关注：热塑性聚合物部分的自动化和可预测的表面表面表面表面表面表面表面表面表面表面化。清晰的质量改进成品部分的质量改进。通过消除手动表面饰面的消除成本。清楚地促进了一部分的转折时间。通过层面的核心层面。使用溶剂的零件。使用自动化过程反馈来控制所应用的饰面级别。使用算法来管理不同的材料和几何设计，从而创建了智能机械体系结构。