An Osseointegration-aware, Sintering-aware Agent-Based Modeling Framework for Additively Manufactured Orthopedic Implants

dc.contributor.advisorHiggs, C. Freden_US
dc.creatorFaweya, Olufunto Men_US
dc.date.accessioned2019-08-12T14:00:53Zen_US
dc.date.available2020-08-01T05:01:09Zen_US
dc.date.created2019-08en_US
dc.date.issued2019-08-09en_US
dc.date.submittedAugust 2019en_US
dc.date.updated2019-08-12T14:00:53Zen_US
dc.description.abstractThe orthopedic industry is still searching for an efficient way to replace bone lost due to surgical procedures such as arthroplasty and limb-sparing surgery. Additive manufacturing (AM) presents an opportunity to manufacture affordable patient-specific implants. Although previous works have investigated the viability of AM in bone implants, producing defect-free implants has yet to be mastered. Optimization of the implant design to maximize osseointegration (bone ingrowth) has not been appropriately addressed. This thesis proposes a novel approach for modeling the microstructure evolution and osseointegration processes for orthopedic AM implants. Agent-Based Modeling (ABM) is a cellular automata based computing technique that uses simple rules derived from experimental studies to simulate evolutionary phenomena. In this thesis, grain growth during sintering of an AM TiO2 sample test cube and osseointegration in this cube have been modeled using ABM. The results are validated by comparison to experimental studies and several conclusions are drawn.en_US
dc.embargo.terms2020-08-01en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationFaweya, Olufunto M. "An Osseointegration-aware, Sintering-aware Agent-Based Modeling Framework for Additively Manufactured Orthopedic Implants." (2019) Master’s Thesis, Rice University. <a href="https://hdl.handle.net/1911/106184">https://hdl.handle.net/1911/106184</a>.en_US
dc.identifier.urihttps://hdl.handle.net/1911/106184en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectagent-based modelingen_US
dc.subjectadditive manufacturingen_US
dc.subjectosseointegrationen_US
dc.subjectgrain growthen_US
dc.titleAn Osseointegration-aware, Sintering-aware Agent-Based Modeling Framework for Additively Manufactured Orthopedic Implantsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentMechanical Engineeringen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Scienceen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
FAWEYA-DOCUMENT-2019.pdf
Size:
3.74 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 2 of 2
No Thumbnail Available
Name:
PROQUEST_LICENSE.txt
Size:
5.84 KB
Format:
Plain Text
Description:
No Thumbnail Available
Name:
LICENSE.txt
Size:
2.61 KB
Format:
Plain Text
Description: