Intelligent tool-holding with feedback control for metal-cutting machine tools

用于金属切削机床的带反馈控制的智能刀具夹持

• 批准号: 48536
• 金额: $ 27.19万
• 依托单位: CRAFTSMAN TOOLS LIMITED
• 依托单位国家: 英国
• 项目类别: Study
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=48536
• 关键词: Intelligent; tool; holding; feedback; control

This project will create a new product that will automatically improve the surface finish of boring operations in production machine tools. It combines mechanical design for optimising sensor location with advanced modelling to ensure optimal and robust correction values.It builds on the successful Innovate UK project, "Intelligent tool-holding for metal cutting machine tools" where both partners showed the feasibility of predicting the surface roughness of a turned bore when using inputs from a vibration sensor mounted in the tool holder.The innovation in the new project is that we are mounting sensors in the tool holder for deep hole boring on turning operations that will provide feedback for automatic adjustments of machining parameters, as opposed to an experienced operator having to manually adjust during the process. This will lead to improved productivity in the machining process.The main areas of innovation, in order of importance, are:1. To take the advanced surface prediction algorithms and produce corrective models that are robust in manufacturing environments and targeted at improving surface finish.2. To produce a generalised approach to the data acquisition, modelling and feedback to prove that the technology can be used for automatic control with different sized tooling and on different machines.3. To improve the existing state-of-the-art models to allow control based only on data from the tool holder, rather than expensive tool-mounted sensors, which are not commonly available in industry.The project will deliver five demonstrators to show the ability of the system to be applied on different machine tool types and boring bar sizes.

该项目将创建一个新产品，将自动提高生产机床镗孔操作的表面光洁度。它将优化传感器位置的机械设计与先进的建模相结合，以确保最佳和稳健的校正值。它建立在成功的Innovate UK项目基础上，“金属切削机床的智能夹持”在该项目中，双方合作伙伴展示了使用安装在刀具保持器中的振动传感器输入数据预测车削孔表面粗糙度的可行性。新项目的创新之处在于，将传感器安装在刀具保持器中，用于在车削操作中进行深孔镗孔，该传感器将为加工参数的自动调整提供反馈，而不是有经验的操作员必须在工艺期间手动调整。这将导致提高生产率的加工过程中。创新的主要领域，按重要性排序，是：1。采用先进的表面预测算法，并生成在制造环境中稳健的校正模型，以提高表面光洁度.提出一种通用的数据采集、建模和反馈方法，以证明该技术可用于不同尺寸模具和不同机器的自动控制。为了改进现有的最先进的模型，允许仅基于来自刀具保持器的数据进行控制，而不是昂贵的刀具安装传感器，这在工业上并不常见。该项目将提供五个演示器，以展示该系统在不同机床类型和镗杆尺寸上的应用能力。