Virtual Machining of Total Knee Replacement Products Based on Finite Element Analysis (FEA) and Re-Design Optimization by ISO 14243

Abstract This study evaluates the performance of total knee replacement (TKR) components by examining the design, simulation, and machining processes involved. The purpose was to assess the suitability of computer-aided design (CAD) about established standards for total knee replacement (TKR) components, focusing on the femoral and tibial components. Finite element analysis (FEA) was conducted using Abaqus software to simulate stress and contact pressure on the components, specifically under ISO 14243-3 Standard loading conditions. The results revealed that stress concentrations and maximum contact pressure occurred at several points, with peak pressure observed on the lateral side of the femoral component. Based on these findings, the study included a redesign of the knee implant components, followed by re-validation using finite element analysis (FEA). The study also explored the machining process of the femoral component, highlighting the importance of using computer-aided manufacturing (CAM) software to ensure precision in producing complex geometries. CAM software simulations were used to verify tool paths and prevent manufacturing errors. These results underscore the importance of integrating CAD, FEA, and CAM processes to improve the design and production of TKR components.

Authors

Institutions

Publication Details

Journal
Management Systems in Production Engineering
Published
2025-04-27
DOI
https://doi.org/10.2478/mspe-2025-0025
Primary Topic
Advanced machining processes and optimization
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual Machining of Total Knee Replacement Products Based on Finite Element Analysis (FEA) and Re-Design Optimization by ISO 14243

Darmanto Darmanto, Rifky Ismail, Yuris Setyoadi, I Nyoman Jujur et al.
Management Systems in Production Engineering
Advanced machining processes and optimization
article

Virtual Machining of Total Knee Replacement Products Based on Finite Element Analysis (FEA) and Re-Design Optimization by ISO 14243

Darmanto Darmanto, Rifky Ismail, Yuris Setyoadi, I Nyoman Jujur, Paulus Wisnu Anggoro, Robin Novriansyah, Athanasius Priharyoto Bayuseno, Hartanto Prawibowo
article en

Abstract

Abstract This study evaluates the performance of total knee replacement (TKR) components by examining the design, simulation, and machining processes involved. The purpose was to assess the suitability of computer-aided design (CAD) about established standards for total knee replacement (TKR) components, focusing on the femoral and tibial components. Finite element analysis (FEA) was conducted using Abaqus software to simulate stress and contact pressure on the components, specifically under ISO 14243-3 Standard loading conditions. The results revealed that stress concentrations and maximum contact pressure occurred at several points, with peak pressure observed on the lateral side of the femoral component. Based on these findings, the study included a redesign of the knee implant components, followed by re-validation using finite element analysis (FEA). The study also explored the machining process of the femoral component, highlighting the importance of using computer-aided manufacturing (CAM) software to ensure precision in producing complex geometries. CAM software simulations were used to verify tool paths and prevent manufacturing errors. These results underscore the importance of integrating CAD, FEA, and CAM processes to improve the design and production of TKR components.

Management Systems in Production EngineeringVol. 33(2)
Diponegoro University (ID), Dr. Kariadi Hospital (ID), Laboratoire de Biomécanique et Mécanique des Chocs (FR), Atma Jaya University Yogyakarta (ID), Universitas Wahid Hasyim (ID)
Openalex Percentile: Top 92%
Advanced machining processes and optimization
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.