Digital Platform for Defect-free Plastic Pipes Welding (DIGIPIPEWELD)
Digital Platform for Defect-free Plastic Pipes Welding (DIGIPIPEWELD)
批准号:
10055000
负责人:
金额:
$130.18万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --
中文摘要
DIGIPIPEWELD项目将开发一套解决方案,消除塑料管道连接中现有的问题,新管道在安装阶段或服务期间经常会出现过早故障。由于这种故障模式,承包商有义务对现场一定比例的操作接头进行破坏性测试和无损测试(NDT),作为确保质量管理的一种途径。这是非常昂贵的,通常\>£500每个关节和\> £1000/天。我们项目的破坏性元素将首次提供同时焊接接头的能力,同时根据已知参数测试结果并避免可能的故障。此外,该系统将是自主的,并将消除与人为错误相关的风险。DIGIPIPEWELD将提供一个正确的第一时间包管道焊缝的制造和自我测试,这是以前从未做过的。将要开发的技术是一个数字智能控制的Pinweld塑料管道焊接系统。该系统将被设计为无缺陷地连接聚合物管道,并将与复杂的机器学习算法相结合,无论应用和气候如何,都可以优化和记录接头。该系统将采用先进的传感、数据处理和机器学习技术,实现精确的过程监控、焊后自主质量检测和实时泄漏检测。这将为塑料管道安装带来前所未有的控制水平。因此,一种全新的连接塑料管道的方法,具有高度可控性和可重复性,并产生与原始管道相同的物理特性,为任何塑料管道安装提供了改变游戏规则的机会。此外,更高的速度和效率,更低的能耗,加上通过内置传感器增加的监控和报告能力,将为各个行业的安装人员提供一个强大,安全和可靠的过程。
英文摘要
The DIGIPIPEWELD project will develop a suite of solutions eliminating existing areas of concern in the joining of plastic pipes, where new pipelines often experience premature failure during the installation phase or during service. Due to this failure model, contractors are obliged to carry out destructive testing and non-destructive testing (NDT) on a percentage of operational joints on-site as a route to ensure quality management. This is very costly, typically \>£500 per joint and \> £1000/day. The disruptive element of our project will deliver for the first time an ability to simultaneously weld a joint, while testing the results against known parameters and avoiding possible failures. Furthermore, the system will be autonomous and will eliminate risk associated with human error. DIGIPIPEWELD will offer manufacturing and self-testing of pipe welds in a right-first-time package, something that has never been done before.The technology to be developed is a digitally intelligent controlled Pinweld plastic pipe welding system. The system will be designed to join polymer pipes without defects and will be coupled with sophisticated machine-learning algorithms, enabling the joints to be optimised and recorded, whatever the application and climate. The system will be developed with advanced sensing, data processing, and machine learning to achieve accurate process monitoring, autonomous quality inspection after welding, and real-time leakage detection. This would bring a level of control to plastic pipe installation never before available.Consequently, a brand-new way to join plastic pipes that is highly controllable and reproducible and produces a joint of the same physical properties of the original pipe, offering a game-changing opportunity for any plastic pipe installation. Moreover, greater speed and efficiency, lower energy consumption, plus the added ability to monitor and report, through built-in sensors, will offer installers across the range of sectors a robust, safe, and secure process.
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批准号:--
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项目类别:外国青年学者研究基金项目
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资助金额:--
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批准年份:2024
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负责人:江洋子
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依托单位: