Up-Coming Events

活动日期： 2023年8月24日

Below are the talk details:

 

Dr.  Chu Lun Alex Leung, Associate Professor in Advanced Manufacturing, University College London

 

Talk title: My journey to data-driven reliable efficient additive manufacturing (My DREAM)

 

Abstract: Powder bed fusion (PBF) additive manufacturing (AM) produces complex net-shape parts from powder feedstock, in a layer-by-layer manner. This emerging technology produces functional products that serve a wide range of industrial sectors, including architecture, aerospace, automotive, biomedical, energy, etc. However, AM parts are not often used as safety-critical components, e.g., turbine blades or propellers, owing to the presence of imperfections, e.g., pores and cracks. This presentation will first review the history of using 3D and 4D X-ray imaging to examine AM parts. I will then deep-dive into my journey of the development and application of a ‘physical twin’ of the AM process, ultrafast synchrotron X-ray imaging, machine-learning image processing, and high-fidelity simulation to monitor and elucidate the process dynamics during PBF. We use these tools to quantify the process dynamics, e.g. changes in keyhole geometry, porosity, and remelting zone, as a function of time, layer number, and local layer thickness. After that, we compare our data with a multiphase and multiphysics simulation to reveal the solid-liquid-gas-metal vapour interaction, evolution mechanisms of the keyhole, melt pool, and porosity. This talk highlights the importance of imaging and data analytics in gaining novel insights into the AM process and possible ways to make manufacturing technologies more reliable and efficient.

 

Dr. Chun Ann Huang, Senior Lecturer in Energy Storage Materials, Imperial College London 

 

Talk title: Electrode microstructure for lithium batteries

 

Abstract: There are increasing demands for electrochemical energy storage devices, such as Lithium ion batteries and next generation solid-state batteries with better safety and higher energy densities. These devices are attractive for medical devices, electric transportation and electricity storage from intermittent renewable sources such as solar and wind to meet the targets of reducing CO2 gas emissions. This presentation will first show novel processing techniques to optimise electrode microstructure that increased energy density per volume and per mass for the lithium ion batteries and solid-state batteries compared with the commercial batteries which are attractive for devices since smaller, lighter batteries can be fabricated and last longer per charge. Secondly, the presentation will show an operando characterization technique that images lithium ion transport in the electrodes inside batteries. Coupling with lithium ion transport simulations, the results show the relationship between microstructure, electrode material and electrochemical performance, and explain the improved performance.