Improving the design and clinical success of orthopaedic implants –experiments and finite element study
Project ID: 2531bc1601
(You will need this ID for your application)
Research Theme: Healthcare Technologies
Research Area(s):
Engineering
Healthcare Technologies
UCL Lead department: Mechanical Engineering
Lead Supervisor: Paul Fromme
Partner Organisation: ADLER ORTHO U.K. LIMITED
Stipend enhancement: £ 625
Project Summary:
Bone cancer primarily occurs in children, adolescents, and adults over the age of 65 years. Treatment includes tumour removal and replacement with an implant. Porous implants made by additive manufacturing technology (AMT; 3D-printing) are increasingly used in orthopaedics to improve long-term fixation. However, the fixation between the bone and implant remains challenging. The implants experience high stresses at the bone-implant interface, often leading to failures including stem breakage and reduced loading of the surrounding bone that could lead to aseptic loosening. Clinical evidence so far is inconclusive on optimal implant geometry and implantation techniques, with the choice often depending on surgeon preference.
The purpose of this PhD is to systematically investigate key parameters of bone implants (proximal/distal femoral replacement) to improve the safety and long-term outcome for patients. The student will develop advanced patient-specific Finite Element Analysis (FEA) models and couple them with evaluation algorithms to understand the mechanical stress/strain across the bone-implant to propose design improvements. The student will perform mechanical testing of the implants to validate the FEA models.
The successful candidate will work in a supportive and collaborative environment under the supervision of Prof Paul Fromme with clinicians and strong industrial support, including placement at an orthopaedic implant manufacturer. We are looking for a self-motivated student who wants to develop new skills and apply their existing knowledge. You should be self-motivated, excited to learn, solve problems, passionate about the subject and creative. In addition, you should:
- Hold a Master’s or MEng degree at merit/distinction level, or a first class/ upper second (2:1) class honours degree in mechanical engineering or bioengineering.
- Good interpersonal and organisational skills, and the ability to work as a team player.
- Proficiency in Finite Element Analysis software (e.g., Abaqus, Ansys), image processing techniques, and programming languages such as Python and Matlab.