PhD Studentship in The development of a multi-sensor measurement system for in-process defect detection of metal additive manufacturing

The University of Nottingham - Faculty of Engineering

Program Description

PhD Studentship in The development of a multi-sensor measurement system for in-process defect detection of metal additive manufacturing

The University of Nottingham - Faculty of Engineering

PhD opportunity to support the development of a multi-sensor measurement system for in-process defect detection of metal additive manufacturing.

Additive manufacturing (AM), also known as ‘3D printing’, is revolutionising the way we manufacture parts; permitting almost limitless design freedom and allowing more organic, more lightweight and more bespoke solutions. However production of metal parts by AM is a highly energetic and challenging process and the current state of the technology cannot produce parts with the consistency or geometric tolerances that are required for many applications. Through process monitoring we can improve part quality. Key parameters such as melt pool temperature, powder bed temperature and part form and part texture can be difficult to observe; requiring novel solutions.

This PhD studentship offers the opportunity to work alongside leading researchers who are developing novel multi-sensor methods of measurement for AM surfaces. The multi-sensor measurement approach aims to fuse data collected by multiple measurement systems, allowing sources of noise to be rejected, and clearer insights to be made.

The successful applicant will work alongside experienced researchers in developing a prototype multi-sensor measurement system, with responsibility for the development of the data capture and data fusion methods.

Qualifications/ Education

Excellent degree in engineering, computer science, science, or equivalent, qualifying the candidate for obtaining a doctoral degree

Skills/Training

  • Strong skill in computational methods or programming
  • Good communication skills
  • Ability to present scientific work in oral and written format

Experience

  • General engineering experience
  • Experience with data fusion methods highly desirable
  • Experience with fringe projection, photogrammetry or thermography highly desirable.

Personal attributes

Ability to work independently and also efficiently in a team

This school offers programs in:
  • English


Last updated July 31, 2017
Duration & Price
This course is Campus based
Start Date
Start date
Aug. 2017
Duration
Duration
Full time
Price
Price
Information
Deadline
Sept. 30, 2017
Locations
United Kingdom - Nottingham, England
Start date: Aug. 2017
Application deadline Sept. 30, 2017
End date Request Info
Dates
Aug. 2017
United Kingdom - Nottingham, England
Application deadline Sept. 30, 2017
End date Request Info