Zhuocheng Zhang

Materials Modelling and Failure Prediction

Projects

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Accenture Bootcamp

I projected a concept idea that resulted in a 40% maintenance cost reduction by using Digital Twins to automate retail chain stages. I collaborated with a team, which included mentors from Accenture and fellow students, to manage the task of improving post-pandemic user experience by implementing Accenture technology. Through task splitting, creating a Gantt chart plan, and quantifying workload, we completed the task three days ahead of the deadline and won third prize in the competition.
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Experience

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Researcher in Data Analysis, Signal Processing and Modelling

During the research, I designed a digital model of a 5m wind turbine blade in CAD, used CFD & FEA for monitoring, trained a failure mode recognition model using acoustic data, and applied machine learning in MATLAB for failure prediction, integrating the algorithm into ANSYS.
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Researcher in CFD & FEA

I implemented one-way fluid-structure interaction to determine the pressure distribution on a floating IEA offshore wind turbine blade, mapped CFD pressure to FEA with 100% node matching, reduced blade thickness in FEA to simulate offshore erosion, cutting computational time by 60%, and achieved 86% accuracy in stress distribution patterns compared to the current state-of-the-art.
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Contact Me

Email: zxz910@student.bham.ac.uk

LinkedIn: linkedin.com/in/zhuocheng-zhang/

GitHub: github.com/ZhuochengGarryZhang