PhD Scholarship: Metal Deposition Process: The University of Strathclyde offers a PhD scholarship opportunity focused on the research of a disruptive digital twin-driven net shape Laser Metal Deposition (LMD) process to enhance material efficiency and throughput in the remanufacturing of high-end industrial products. This scholarship will be jointly funded by the University of Strathclyde and the National Manufacturing Institute Scotland.
PhD Scholarship Opportunity: Digital Twin-Driven Net Shape Metal Deposition Process
Designation
PhD Student
| Details | Information |
|---|---|
| Number of Places | 1 |
| Duration | 3 years |
| Funding | Stipend + Home fee |
| Start Date | Opening on 20 May 2024 |
| Deadline | 30 November 2024 |
Research Area
- Digital Twin Technology
- Laser Metal Deposition (LMD)
- Manufacturing Engineering
- Computational Modeling and Simulation
Location
University of Strathclyde, Glasgow, UK
Eligibility/Qualifications
- A first class or upper second-class UK Honours degree, or international equivalent, in:
- Engineering
- Mechanical Engineering
- Materials Science and Engineering
- Mathematics
- Physics
- Computer Science
- Related fields
- A strong interest in manufacturing projects, as evidenced by degrees, projects, or work experience
- Familiarity with quantitative research design
- Knowledge of Manufacturing Engineering and computational modeling (Finite Element Analysis, Molecular Dynamic Simulation)
- Proficiency in programming languages (e.g., Matlab, C/C++) or a willingness to learn
- Collaborative mindset and independent working style
- Strong interpersonal and communication skills in English
- An IELTS score of 6.5 (or equivalent) if English is not your first language
Description
The PhD project aims to address the low adoption rates of remanufacturing technologies in the UK by focusing on the development of an advanced digital twin-driven LMD process. This process aims to:
- Enhance material efficiency and throughput by up to 50%
- Improve precision by up to 25%
The project involves:
- Researching and developing a Smoothed Particle Hydrodynamics (SPH) model of the LMD process
- Creating a real-time digital twin of the LMD process
- Developing an artificial intelligence optimization model integrated into the digital twin
- Demonstrating the effectiveness of these developments in industrial settings
How to Apply
Interested candidates should prepare a detailed application highlighting their qualifications and interest in the project. Applications can be submitted via the University of Strathclyde’s official website or directly to the supervisors named below.
For additional information or inquiries, contact:
- Dr. Andreas Reimer: Andreas.reimer@strath.ac.uk
- Prof. Xichun Luo: xichun.luo@strath.ac.uk
Last Date to Apply
Saturday, 30 November 2024
