2019
DOI: 10.1080/10255842.2019.1661387
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Three-dimensional structural optimization of a cementless hip stem using a bi-directional evolutionary method

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Cited by 14 publications
(9 citation statements)
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“…The use of a trabecular-like stochastic porous structure in this study is potentially advantageous compared to more regular lattice designs as stochastic structures enable control of anisotropy [ 42 ], which may result in an implant that is more tolerant to unanticipated load cases. Other researchers have optimised the outer shape of hip implants [ 5 , 43 , 44 , 45 , 46 , 47 , 48 ], or optimised the modulus/density distribution within implants [ 49 , 50 ], with similar proposed benefits for preventing strain shielding. However, to the authors’ knowledge, this is the first paper to demonstrate that a strain shielding reduction can be gained by selectively hollowing the implant using topology optimisation with multiple load cases, and the first to additively manufacture and test a proof-of-concept device.…”
Section: Discussionmentioning
confidence: 99%
“…The use of a trabecular-like stochastic porous structure in this study is potentially advantageous compared to more regular lattice designs as stochastic structures enable control of anisotropy [ 42 ], which may result in an implant that is more tolerant to unanticipated load cases. Other researchers have optimised the outer shape of hip implants [ 5 , 43 , 44 , 45 , 46 , 47 , 48 ], or optimised the modulus/density distribution within implants [ 49 , 50 ], with similar proposed benefits for preventing strain shielding. However, to the authors’ knowledge, this is the first paper to demonstrate that a strain shielding reduction can be gained by selectively hollowing the implant using topology optimisation with multiple load cases, and the first to additively manufacture and test a proof-of-concept device.…”
Section: Discussionmentioning
confidence: 99%
“…Also, the femur bone's apparent density estimation formula using CT data's Hounsfield value, reported by Ghosh et al, 17 Zhang et al, 18 Behrens et al, 19 Rahchamani et al 20 and Lerch et al 21 as expressed in eqn (3).…”
Section: Experimental Methods and Boundary Conditions For Assessing H...mentioning
confidence: 99%
“…Based on the finite element method, Ali et al optimized the three geometric parameters including ball diameter, neck length and stem length of the AHJ, and the materials of ball and stem were also considered at the same time 15 . Rahchamani and soheilifard proposed a numerical strategy for the optimization of the stem geometry based on a bi‐directional evolutionary structural optimization method 16 . Ruben et al proposed a multi‐criteria optimization model to obtain the optimal geometry of the femoral component 17 .…”
Section: Introductionmentioning
confidence: 99%
“…15 Rahchamani and soheilifard proposed a numerical strategy for the optimization of the stem geometry based on a bi-directional evolutionary structural optimization method. 16 Ruben et al proposed a multi-criteria optimization model to obtain the optimal geometry of the femoral component. 17 Fraldi et al proposed a maximum stiffness topology optimization strategy to reduce the stress shielding phenomenon in the femur.…”
mentioning
confidence: 99%