2018 Graduate Student Showcase

Degree Program

Mechanical Engineering, MS

Major Advisor Name

Clare Fitzpatrick

Type of Submission

Scholarly Poster


Outcomes of total knee replacement are dependent on surgical technique, patient variability, and implant design. Non-optimal design choices may result in undesirable contact mechanics and joint kinematics. Specifically, the design process requires significant investments of time, software, and expertise for even a single iteration. Our objective was the development of a statistical shape-function model of a posterior stabilized knee implant to predict output mechanics in a resource efficient matter. Finite element methods were combined with design of experiments to produce predictive models relating nine implant design parameters to key outputs for a tibial-femoral joint performing a squat cycle.