Through Process Modelling for Sustainable Aluminium

Innoval是一家总部位于英国的公司，为全球铝行业（生产商和用户）提供独特的独立专业知识资源。Innoval是一家致力于实现可持续、经济高效的铝合金生产的重要合作伙伴，可应用于汽车、航空航天和包装等领域。Innoval在开发模型以预测铝合金在复杂工艺链中的结构和性能演变方面拥有特殊的专业知识。模型对于优化铝合金的加工和使用更多的回收成分至关重要，从而实现铝的全闭环回收。Innoval已经为过程链的不同部分开发了一个模型库，但这些模型并没有连接起来。这意味着不可能通过工艺微观结构和性能进行预测。该EngD的目的是采用现有模型并将其耦合，以实现全过程模拟功能。为了做到这一点，每一步都需要进行实验验证，并可能需要开发更多的模型。因此，该项目将涉及基于计算机的建模和使用先进技术（如电子显微镜）对模型进行实验验证的结合。该项目将涉及在曼彻斯特和Innoval的英国工厂（班伯里）花费时间。这也需要国际旅行。通过EngD，您将深入了解和接触铝行业。这是一个快速增长的领域，由于铝在轻量化方面的优势，机会越来越多。在完成项目后，您将拥有雇主强烈需求的计算机建模和实验技能的组合。应聘者需要具有材料科学、工程、物理或化学背景。

Innoval is a UK based company that provides a unique resource of independent expertise to the global aluminium industry (producers and users). The company is a key partner in enabling sustainable, cost effective aluminium alloy production, for use in applications such as automotive, aerospace, and packaging.Innoval have a particular expertise in developing models to predict the evolution of the structure and properties through the complex process chain that aluminium alloys experience. Models are critical to optimize the processing of aluminium alloys and enable the use of greater recycled content, thus moving towards fully closed loop recycling of aluminium. Innoval have developed a library of models for different parts of the process chain, but these models are not connected. This means it is not possible to predict through process microstructure and performance. The aim of this EngD is to take the existing models and couple them to enable a through process simulation capability. To do this, experimental validation will be required at each step, and additional models may be needed to be developed.The project will therefore involve a combination of computer based modelling and experimental validation of models using advanced techniques such as electron microscopy. The project will involve spending time at Manchester and at Innoval's UK facilty (Banbury). It will also require international travel.Through the EngD you will gain an in-depth knowledge of, and exposure to, the aluminium industry. This is a rapidly growing field with increasing opportunities due to the benefits of aluminium in lightweighting. On completing the project, you will have a combination of computer modelling and experimental skills that are in strong demand by employers. Candidates are sought with a background in materials science, engineering, physics, or chemistry.