Sürdürülebilir Kalkınma Amaçları
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- Derleme MakaleAçık Erişim2026Scopus SJRQ2Titanium and polyetheretherketone for spinal fusion cages: a comparative narrative review of material behavior, structural design, and clinical translation
Hasheminasab; Bazmi, Arian; Hamsianetefagh, Rojin; Tabak, Yasemin; Ashkani, Omid; Mahboubizadeh, Shahram; Colak, Murat; Şensoy, Abdullah Tahir
Cage material selection in spinal fusion requires a trade-off among biological fixation, mechanical compatibility, subsidence resistance, and postoperative imaging. This structured narrative review compares titanium and polyetheretherketone (PEEK) cages across seven domains: osseointegration, modulus matching, endplate load transfer, surface biofunctionality, imaging, additive manufacturing and personalization, and geometry-guided architecture. Peer-reviewed literature indexed in PubMed/MEDLINE, Scopus, and Web of Science was considered from database inception through May 2026, with emphasis on comparative clinical studies, systematic reviews, meta-analyses, and mechanistic studies directly relevant to cage design. Preclinical studies favor porous and additively manufactured titanium for bone–implant integration, but a consistent fusion-rate advantage in anterior cervical discectomy and fusion (ACDF) has not been established. In lumbar surgery, lower subsidence has been reported in selected lateral lumbar interbody fusion cohorts, while results after transforaminal lumbar interbody fusion remain heterogeneous. PEEK retains advantages in radiolucency and intrinsic modulus matching, while surface-modified and porous PEEK can improve biological performance. Subsidence is not determined by chemistry alone; cage footprint, architecture, endplate preparation, fixation, and bone quality remain major modifiers. Current evidence therefore supports procedure and design-specific selection rather than universal replacement of either platform. Long-term comparative data and standardized definitions of fusion and subsidence remain limited.
- MakaleAçık Erişim2024Scopus SJRQ2A Numerical Study of Topography and Roughness of Sloped Surfaces Using Process Simulation Data for Laser Powder Bed Fusion
Aydogan, Beytullah; Chou, Kevin
The simulation of additive manufacturing has become a prominent research area in the past decade. Process physics simulations are employed to replicate laser powder bed fusion (L-PBF) manufacturing processes, aiming to predict potential issues through simulated data. This study focuses on calculating surface roughness by utilizing 3D surface topology extracted from simulated data, as surface roughness significantly influences part quality. Accurately predicting surface roughness using a simulation remains a persistent challenge. To address this challenge, the L-PBF technique with two different cases (pre- and post-contouring) was simulated using two-step process physics simulations. The discrete element method was utilized to simulate powder spreading, followed by the Flow-3D melting simulation. Ten layers were simulated at three different linear energy density (LED) combinations for both cases, with samples positioned at a 30-degree angle to accommodate upskin and downskin effects. Furthermore, a three-dimensional representation of the melted region for each layer was generated using the thermal gradient output from the simulated data. All generated 3D layers were stacked and merged to consolidate a 3D representation of the overall sample. The surfaces (upskin, downskin, and side skins) were extracted from this merged sample. Subsequently, these surfaces were analyzed, and surface roughness (Sa values) was calculated using MATLAB. The obtained values were then compared with experimental results. The downskin surface roughness results from the simulation were found to be within the range of the experimental results. This alignment is attributed to the fact that the physics simulation primarily focuses on melt pool depth and width. These promising findings indicate the potential for accurately predicting surface roughness through simulation.
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İncele - Derleme MakaleAçık Erişim2024Scopus SJRQ2Review of In Situ Detection and Ex Situ Characterization of Porosity in Laser Powder Bed Fusion Metal Additive Manufacturing
Aydogan, Beytullah; Chou, Kevin
Over the past decade, significant research has focused on detecting abnormalities in metal laser powder bed fusion (L-PBF) additive manufacturing. Effective online monitoring systems are crucial for enhancing process stability, repeatability, and the quality of final components. Therefore, the development of in situ detection mechanisms has become essential for metal L-PBF systems, making efficient closed-loop control strategies to adjust process parameters in real time vital. This paper presents an overview of current in situ monitoring systems used in metal L-PBF, complemented by ex situ characterizations. It discusses in situ techniques employed in L-PBF and evaluates the applicability of commercial systems. The review covers optical, thermal, acoustic, and X-ray in situ methods, along with destructive and non-destructive ex situ methods like optical, Archimedes, and X-ray characterization techniques. Each technique is analyzed based on the sensor used for defect detection and the type or size of defects. Optical in situ monitoring primarily identifies large defects from powder bed abnormalities, while thermal methods detect defects as small as 100 µm and keyholes. Thermal in situ detection techniques are notable for their applicability to commercial devices and efficacy in detecting subsurface defects. Computed tomography scanning excels in locating porosity in 3D space with high accuracy. This study also explores the advantages of multi-sensor in situ techniques, such as combining optical and thermal sensors, and concludes by addressing current research needs and potential applications of multi-sensor systems.
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