Optimised machining strategies for near net shape components

近净形部件的优化加工策略

• 批准号: 2902143
• 金额: --
• 依托单位: University of Sheffield
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2902143
• 关键词: Optimised; machining; strategies; near; net

In order for the high value manufacturing sector to support the global drive towards net zero, manufacturers need to rapidly implement a step change in how they can supply products in a more responsible and sustainable way. Current industry-ready solutions include providing parts in near-net forms such that minimal further machining processes are required; provision of material that contains 100% recycled feedstock; and implementing the use of more adaptable systems such as robotics or parallel kinematic machining centres. However, these solutions provide their own challenges when considered as a complete package when attempting to meet stringent sector requirements in terms of quality, cost and rate. When combined with sustainability targets it may well have to be accepted that current state of the art solutions may in fact lead to decreases in productivity. The current class of commercially available simulation models are not keeping pace with the developments of tooling design and machining strategies. Therefore the focus of this PhD project will be to advance our simulation capability taking into account inherent process variability such as material condition of supply, cutting tool geometry and form error, machine tool kinematics/dynamics, and part fixturing, to provide solutions that can be directly demonstrated on a machine centre.

为了使高价值制造业支持全球驱动净零，制造商需要迅速实施他们如何以更负责任和可持续的方式提供产品的步骤。当前的行业就绪解决方案包括提供近网状形式的零件，以便最少的进一步加工过程；提供包含100％再生原料的材料；并实施更适应性系统的使用，例如机器人技术或平行运动学加工中心。但是，在试图满足质量，成本和费率方面的严格部门要求时，这些解决方案在将其视为完整的包裹时会提供自己的挑战。当与可持续性目标结合使用时，很可能必须接受，当前最先进的解决方案实际上可能导致生产率下降。当前的商业可用仿真模型与工具设计和加工策略的发展没有跟上。因此，该博士项目的重点将是考虑到固有过程可变性，例如供应的材料条件，切割工具的几何形状和形式错误，机床运动/动力学以及部分固定设备，以提供可以直接在机器中心上展示的解决方案。