EVALUATION OF THE INTERRELATION BETWEEN KEY PROCESS PARAMETERS AND PRODUCT/MATERIAL PROPERTIES IN HYBRID ADDITIVE-SUBTRACTIVE PROCESS CHAINS

评估混合增减工艺链中关键工艺参数与产品/材料特性之间的相互关系

• 批准号: 2278921
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2278921
• 关键词: EVALUATION; INTERRELATION; BETWEEN; KEY; PROCESS

EPSRC Portfolio Areas: Additive manufacturing, post-processing, data driven modelling, surface integrity, mechanical propertiesAdditive manufacturing (AM) presents exciting new opportunities for manufacturers, enabling the realisation of designs which have previously been impossible to achieve with traditional manufacturing processes. Interest has developed in numerous industries, including aerospace, transportation, and biomedical engineering, where AM has the potential to improve system efficiencies, foster weight reduction and improve the biocompatibility and levels of customisation available.Despite the growing interest in this field, there is currently a knowledge gap in predicting the properties of objects produced using AM. Whereas the properties of a part manufactured through traditional processes can be accurately predicted, the interrelation between the key AM process parameters and the final product/material properties is yet to be fully realised, leading to extensive experimental testing requirements at present.This project aims to improve this understanding by establishing the correlation between AM manufacturing parameters, and post-processing conditions, with the surface, mechanical and material properties of finished parts produced in a hybrid additive-subtractive process chain, both experimentally and computationally.The project will be conducted in three major phases:The first phase will deal with evaluating the effects of key AM (laser-based powder bed fusion) parameters on the output quantities of interest (qoi) which include surface roughness/quality, residual stress, tensile properties, fatigue, creep, corrosion, microhardness and microstructure of the as-built parts, using an experimental test regime.This will be followed by post-processing (laser texturing/polishing, mechanical micromachining, heat treatment etc.) of the AM parts depending on their functional requirements to determine how such processes further affect the properties of the component.The final phase of the project will involve a data-driven hierarchical modelling of the AM process and post-processing parameters to the measured qoi using a stochastic surrogate modelling techniques. This will render the creation of a qoi response surface in a high dimensional parameter space, thus enabling the robust optimal inverse design of the AM and post-processing conditions to obtain designer-specified values/distributions of the qoi. A Bayesian inference framework would be utilised to perform the robust inverse design.The research will lead to the introduction of components with integrated functionalities for a broad range of industrial applications, such as aerospace, automotive, railway, electronic and biomedical sectors.

EPSRC产品组合领域：增材制造、后处理、数据驱动建模、表面完整性、机械性能增材制造（AM）为制造商带来了令人兴奋的新机遇，使以前无法通过传统制造工艺实现的设计得以实现。航空航天、交通和生物医学工程等许多行业都对增材制造产生了兴趣，其中增材制造有潜力提高系统效率、促进减重并提高生物相容性和可用的定制水平。尽管人们对该领域的兴趣日益浓厚，但目前在预测使用增材制造生产的物体的属性方面存在知识差距。虽然通过传统工艺制造的零件的性能可以准确预测，但关键AM工艺参数与最终产品/材料性能之间的相互关系尚未完全实现，导致目前广泛的实验测试要求。本项目旨在通过建立AM制造参数和后处理条件与表面之间的相关性，通过实验和计算，对在混合增材-减材工艺链中生产的成品零件的机械和材料性能进行评估。该项目将分三个主要阶段进行：第一阶段将评估关键AM的效果（基于激光的粉末床熔合）参数对感兴趣的输出量（qoi）的影响，所述感兴趣的输出量（qoi）包括完工部件的表面粗糙度/质量、残余应力、拉伸性能、疲劳、蠕变、腐蚀、显微硬度和微观结构，使用实验测试制度。这将是后续处理（激光纹理/抛光，机械微加工，热处理等）的增材制造零件取决于他们的功能要求，以确定这些过程如何进一步影响组件的属性。该项目的最后阶段将涉及一个数据驱动的层次模型的增材制造过程和后处理参数的测量质量指数使用随机替代建模技术。这将在高维参数空间中产生qoi响应表面，从而使得能够进行AM和后处理条件的鲁棒最优逆设计，以获得qoi的设计者指定的值/分布。该研究将利用贝叶斯推理框架进行稳健的逆向设计。该研究将导致引入具有集成功能的组件，用于广泛的工业应用，例如航空航天，汽车，铁路，电子和生物医学部门。