Real-time In-line Microstructural Engineering (RIME)

实时在线微结构工程 (RIME)

• 批准号: EP/P027210/1
• 负责人: Claire Davis
• 金额: $ 62.91万
• 依托单位: University of Warwick
• 依托单位国家: 英国
• 项目类别: Research Grant
• 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=EP%2FP027210%2F1
• 关键词: Real; time; line; Microstructural; Engineering

Steel continues to be the most used material in the world by value and play an essential role in all aspects of society, from construction to transport, energy generation to food production. The long-term sustainability of UK steel making requires lower energy production and the development of high value steel products. The ability to measure the microstructure of steel in a non-contact, non-destructive fashion can lead to dramatic improvement in the understanding of the material and its behaviour during processing and in-service. Improved control during processing will increase efficiency in production of complex steel microstructures and allow new generation alloys to be made. Through our previous EPSRC and industry funded research we have created a new electromagnetic (EM) measurement system, EMspecTM, that can monitor the microstructure of strip steel during hot processing. This system is now providing information related to the condition (transformed phase fraction) of the microstructure over 100% of the strip length. The scene is now set to make the next major step forward with the information that new in-line microstructure measurement systems can offer - proposed real-time in-line microstructural engineering, or 'RIME' technology. Our ambition is to enable real-time microstructure engineering during processing via dynamic control of cooling strategies or heat treatment using EM sensor feedback, in particular to engineer microstructures that were previously either impossible to achieve in full scale production or could not be reliably achieved. This will require detailed knowledge of the full temperature - magnetic - microstructure parameter space and sensors that are capable of operating in elevated temperature environments (such as heat treatment facilities), which are not currently available outside the laboratory. In addition application to a wide range of product lines, from strip to plate or sections requires integration of through thickness cooling models and EM signal-depth interpretation all mapped for varying temperature and phase fraction. In this project we will develop new sensors that can operate at high temperature; both laboratory systems to determine full magnetic properties with temperature for model and commercial steels, essential information that is currently unavailable in the literature, and robust deployable sensors for trials in industrial conditions; and systems designed to interrogate for through thickness data. We will develop a demonstration facility, consisting of a furnace, run out table with cooling sprays and EMspecTM system, to allow dynamic feedback control of cooling schedules from EM sensor signals to engineer specific microstructures. Alongside the hardware and demonstration activities we will also develop modelling capabilities, both for sensor design and signal interpretation: our current models are used to relate sensor signals to microstructure (phase fraction and grain size at room temperature) with incorporation of temperature effects planned in this project. A number of case studies have been identified to trial the new technologies including advanced high strength strip steels (AHSS) for light-weighting of vehicles, high strength - high toughness pipeline steels for demanding environments, high strength, more uniform, constructional steels and tailoring microstructure in rod.

按价值计算，钢铁仍然是世界上使用最多的材料，并在社会的各个方面发挥着重要作用，从建筑到运输，从能源生产到食品生产。英国钢铁制造的长期可持续性要求降低能源产量，并开发高价值的钢铁产品。以非接触、非破坏性的方式测量钢的微观组织的能力可以极大地提高对材料及其在加工和使用中的行为的了解。改进加工过程中的控制将提高复杂钢组织的生产效率，并使新一代合金得以制造。通过我们以前的EPSRC和行业资助的研究，我们已经创建了一种新的电磁(EM)测量系统EMspecTM，该系统可以监测带钢在热加工过程中的组织。该系统现在提供与超过100%带材长度的显微组织的条件(转变相分数)有关的信息。现在，现场准备利用新的在线微结构测量系统可以提供的信息--拟议的实时在线微结构工程，或“RIME”技术--向前迈进一大步。我们的目标是通过使用EM传感器反馈的冷却策略或热处理的动态控制，实现加工过程中的实时微结构工程，特别是设计以前不可能在大规模生产中实现或无法可靠实现的微结构。这将需要详细了解完整的温度-磁-微结构参数空间和能够在高温环境(如热处理设施)中运行的传感器，目前实验室外无法获得这些参数空间和传感器的详细信息。此外，在从带材到板材或型材的广泛生产线上的应用还需要集成穿透厚度冷却模型和EM信号深度解释，所有这些都映射到不同的温度和相分数。在这个项目中，我们将开发可在高温下工作的新型传感器；两个实验室系统，用于确定模型钢和商用钢的全磁性能，以及目前在文献中无法获得的基本信息；以及用于工业条件下试验的坚固的可展开传感器；以及设计用于询问贯穿厚度数据的系统。我们将开发一个演示设施，包括一个炉子、带有冷却喷雾的运行工作台和EMspecTM系统，以允许从EM传感器信号对冷却计划进行动态反馈控制，以设计特定的微结构。除了硬件和演示活动，我们还将开发传感器设计和信号解释的建模能力：我们目前的模型用于将传感器信号与微结构(室温下的相含量和晶粒度)联系起来，并纳入本项目计划的温度影响。已确定了许多案例研究来试验新技术，包括用于车辆轻量化的先进高强度带钢(AHSS)、用于苛刻环境的高强度-高韧性管线钢、高强度、更均匀的结构钢和棒材的定制组织。

项目成果

Magnetic Characterisation of Strain Ageing in Near Eutectoid Drawn Pearlitic Wire Using an Electromagnetic (EM) Sensor

• DOI: 10.1016/j.engfailanal.2021.105909
• 发表时间: 2021-11
• 期刊: Engineering Failure Analysis
• 影响因子: 4
• 作者: B. Jones;M. Jolfaei;S. Hobson;W. Rainforth;C. Davis

EM sensors for microstructural measurement-modelling the effect of grain size in single and multi-phase steel microstructures

用于微观结构测量的电磁传感器 - 对单相和多相钢微观结构中晶粒尺寸的影响进行建模

• 发表时间: 2017
• 作者: L. Zhou

Magnetic characterisation of grain size and precipitate distribution by major and minor BH loop measurements

• DOI: 10.1016/j.jmmm.2019.02.088
• 发表时间: 2019-07-01
• 期刊: JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS
• 影响因子: 2.7
• 作者: Liu，Jun;Wilson，John;Peyton，Anthony
• 通讯作者: Peyton，Anthony

Non-destructive measurement of microstructure and tensile strength in varying thickness commercial DP steel strip using an EM sensor

• DOI: 10.1016/j.jmmm.2018.10.099
• 发表时间: 2019-03
• 期刊: Journal of Magnetism and Magnetic Materials
• 影响因子: 2.7
• 作者: M. Aghadavoudi-Jolfaei;J. Shen;A. Smith;Lei Zhou;C. Davis

Detection of Decarburising Depth in Hadfield Steels Using a Multi-magnetic NDE Method

• DOI: 10.1080/10589759.2022.2038150
• 发表时间: 2022-02-15
• 期刊: NONDESTRUCTIVE TESTING AND EVALUATION
• 影响因子: 2.6
• 作者: Kahrobaee, Saeed;Akhlaghi, Iman Ahadi;Zhou, Lei
• 通讯作者: Zhou, Lei