About
6
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Introduction
Mr Zhu received his bachelor degree with honours in Mechanical Engineering from the University of Canterbury in 2016. During his undergraduate study, he had a one-year exchange programme at Purdue University, he was the research assistant in XYZT Lab in 2015. Since 2018 Mr Zhu joined the LISMS research group under the supervision of Professor Xun Xu at the University of Auckland to pursue a PhD in Mechanical Engineering.
Current institution
Additional affiliations
May 2015 - December 2015
Publications
Publications (6)
Cyber-Physical Machine Tools (CPMT) represent a new generation of complete Cyber-Physical Systems (CPS)-based machine tools that deeply integrate machine tool and machining processes with computation and networking. CPMT have a higher level of connectivity, intelligence and autonomy compared to current machine tools. Digital Twin is a critical comp...
With the wave of Industry 4.0, Digital Twin is attracting more and more attention world-wide. The term might have been coined some time ago, today the concept is increasingly being used in the field of smart manufacturing. Digital Twin provides advantages in different fields of manufacturing, such as production and design, remote diagnostics and se...
Cyber-Physical Machine Tools (CPMT) represents a new generation of machine tools that are smarter, well connected, widely accessible, more adaptive and more autonomous. CPMT could effectively collect all the information through the life-cycle of the machine tool, and this information should be utilized by different users under different scenarios a...
Thin-walled parts are widely used in the aerospace, shipbuilding, and automotive industry, but due to its unique structure and high accuracy requirements, which leads to an increase in scrapped parts, high cost in production, and a more extended period in the trial machining process. However, to adapt to fast production cycles and increase the effi...
This paper reports on early stages of a machine learning research
project, where phases of cognitive presence in MOOC discussions
were manually coded in preparation for training automated cognitive
classifiers. We present a manual-classification rubric combining
Garrison, Anderson and Archer’s (2001) coding scheme with Park’s (2009) revised version...
