Overview
Jiang and his collaborators have been developing high throughput micro-thermomechanical testing, characterisation and modelling package including in-situ thermomechanical testing, the combination of high-resolution electron backscattering diffraction, high-resolution digital image correlation and crystal plasticity finite element (CPFE) modelling. This state of the art package significantly improves the efficiency of material database development (BIG DATA) and directly reveals the key fundamental mechanisms, which will considerably accelerate the development and validation of physically based constitutive models through machine learning. Thus, not only our understanding will be enhanced, but also the optimal processing condition can be accurately determined for the cost-effective, high-quality, high strength, and excellent fatigue resistant alloys.
This state of the art package significantly improves the efficiency of material database development (BIG DATA) and directly reveals the key fundamental mechanisms, which will considerably accelerate the development and validation of physically based constitutive models through machine learning. Thus, not only our understanding will be enhanced, but also the optimal processing condition can be accurately determined for the cost-effective, high-quality, high strength, and excellent fatigue resistant alloys.
Currently, his research group working on developing novel additive manufacturing methods (Zinong Tan, Chris Hopper), superplastic forming of TA15 (Tabassam Yasmeen), recrystallization of Al alloys during hot rolling process (Qinmeng Luan), understanding of the central cracking of parts during cross wedge rolling (Xianyan Zhou), rapid heating technique for sheet metals (Dr Zhutao Shao).