Femoral hip prosthesis design for Thais using multi-objective shape optimization

Virulsri, Chanyaphan; Tangpornprasert, Pairat; Romtrairat, Parineak

doi:10.1016/j.matdes.2014.11.027

Cited by 12 publications

(3 citation statements)

References 21 publications

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“…They concluded that the most effective strategy in reducing all the equivalent stress criteria was to use a strain energy density criterion as the objective function. Virulsri et al (2015) developed and proposed a multi-objective SHO procedure for designing an optimized femoral hip prosthesis that can also fit a Thai femur while considering safety. They showed through their study the significance of the prosthesis cross-section geometry on the development of the stresses around it.…”

Section: Shape Optimizationmentioning

confidence: 99%

Review on structural optimization techniques for additively manufactured implantable medical devices

Peto,

García-Ávila,

Rodriguez

et al. 2024

Front. Mech. Eng.

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Recent developments in additive manufacturing (AM) have led to significant opportunities in the design and fabrication of implantable medical devices due to the advantages that AM offers compared to conventional manufacturing, such as high customizability, the ability to fabricate highly complex shapes, good dimensional accuracy, a clean build environment, and reduced material usage. The study of structural design optimization (SDO) involves techniques such as Topology Optimization (TO), Shape Optimization (SHO), and Size Optimization (SO) that determine specific parameters to achieve the best measurable performance in a defined design space under a given set of loads and constraints. Integration of SDO techniques with AM leads to utmost benefits in designing and fabricating optimized implantable medical devices with enhanced functional performance. Research and development of various lattice structures represents a powerful method for unleashing the full potential of additive manufacturing (AM) technologies in creating medical implants with improved surface roughness, biocompatibility, and mechanical properties. Furthermore, the integration of artificial intelligence (AI) and machine learning (ML) in structural optimization has expanded opportunities to improve device performance, adaptability, and durability. The review is meticulously divided into two main sections, reflecting the predictability of the implant’s internal structure: (a) unpredictable interior topology, which explores topology-based optimization techniques, and (b) predictable inner topology, concentrating on lattice structures. The analysis of the reviewed literature highlights a common focus on addressing issues such as stress shielding, osseointegration enhancement, customization to individual needs, programmable functionalities, and weight reduction in implant designs. It emphasizes significant advances in reducing stress shielding effects, promoting osseointegration, and facilitating personalized implant creation. The review provides a detailed classification of optimization methods, with each approach scrutinized for its unique contribution to overcoming specific challenges in medical implant design, thus leading to more advanced, effective, and patient-oriented implantable devices.

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Section: Shape Optimizationmentioning

confidence: 99%

Review on structural optimization techniques for additively manufactured implantable medical devices

Peto,

García-Ávila,

Rodriguez

et al. 2024

Front. Mech. Eng.

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“…Eq. [6] The endurance limit (Se), yield strength (Sy) and ultimate tensile strength (Su) of 316L stainless steel are 241 MPa, 331MPa and 515 MPa, respectively (28,29).…”

Section: Fatigue Analysismentioning

confidence: 99%

Applied Taguchi Method for Fatigue Testing of Customized Hip Implant

Dharme

Kuthe

Deshmukh³

2016

Int J Artif Organs

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“…These disadvantages usually caused by mechanical issues require the revisions about 85% of the hip surgery [1]. In literature, many different types of hip prostheses were designed to eliminate the mechanical problems [2][3][4] but still, have no solution completely.…”

Section: Introductionmentioning

confidence: 99%