Understanding compressive viscoelastic properties of additively manufactured PLA for bone-mimetic scaffold design

Medical Engineering & Physics, Journal Year: 2023, Volume and Issue: 114, P. 103972 - 103972

Published: March 25, 2023

Language: Английский

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An investigation on residual stress and fatigue life assessment of T-shape welded joints

Engineering Failure Analysis, Journal Year: 2022, Volume and Issue: 141, P. 106685 - 106685

Published: July 30, 2022

Language: Английский

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Prediction of Composite Mechanical Properties: Integration of Deep Neural Network Methods and Finite Element Analysis

Journal of Composites Science, Journal Year: 2023, Volume and Issue: 7(2), P. 54 - 54

Published: Feb. 3, 2023

Extracting the mechanical properties of a composite hydrogel; e.g., bioglass (BG)–collagen (COL), is often difficult due to complexity experimental procedure. BGs could be embedded in COL and thereby improve for bone tissue engineering applications. This paper proposed deep-learning-based approach extract hydrogel directly from microstructural images. Four datasets various shapes (9000 2D images) generated by finite element analysis showed that deep neural network (DNN) model efficiently predict hydrogel, including Young’s modulus Poisson’s ratio. ResNet AlexNet architecture were tuned ensure excellent performance high accuracy methods with R-values greater than 0.99 mean absolute error prediction less 7%. The results full dataset revealed had better predicting elastic material BGs-COL 0.97 compared 0.96 ratio, respectively. work provided bridging combine DNN applications diverse fields such as engineering, materials science, medical engineering.

Language: Английский

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Simultaneous optimization of stiffness, permeability, and surface area in metallic bone scaffolds

International Journal of Engineering Science, Journal Year: 2023, Volume and Issue: 193, P. 103961 - 103961

Published: Sept. 22, 2023

Language: Английский

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Facility Location Optimization For Technical Inspection Centers Using Multi-Objective Mathematical Modeling Considering Uncertainty

Journal of Soft Computing and Decision Analytics, Journal Year: 2023, Volume and Issue: 1(1), P. 181 - 208

Published: Sept. 11, 2023

Encountering numerous vehicles on the roads can pose several risks, including a higher probability of accidents. To address these issues, thorough examination cars significantly reduce dangers. Technical inspection centers play crucial role in this process and should be easily accessible. provide most customer service coverage at lowest cost transportation for technical centers, facility location optimization is proposed paper. Specifically, we investigate (TICs) as maximum problem while minimizing TIC locations' construction customers' transportation. deal with problem, propose robust programming considering our numeric data's uncertainty. Our research contributes to by providing novel insight into solving using hybrid mathematical model. It presents two-objective linear model binary variables problem. We used Augmented Epsilon Constraint (AEC) method via CPLEX solver Non-dominated Sorting Genetic Algorithm II (NSGA-II) large-scale problems solve A case study was conducted test numerical analysis methodology practical varying scales. The final results demonstrate effectiveness approach meeting optimality feasibility robustness criteria. Identifying optimal locations regarding paper's main objective proves advantage mentioned innovative methodology.

Language: Английский

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Prognosis of Crestally Placed Short Plateau Implants in Posterior Maxilla

International Journal for Numerical Methods in Biomedical Engineering, Journal Year: 2025, Volume and Issue: 41(3)

Published: March 1, 2025

ABSTRACT Crestal placement of short plateau implants in compromised jaws may cause implant failure due to bone overstress. The aim was evaluate the impact different sized on adjacent overload and load‐bearing ability terms proposed index—ultimate functional load (UFL). Three‐dimensional models osseointegrated placed types III IV were analysed by FEM for case patient‐specific variations cortical elasticity modulus. Maximum von Mises stresses surrounding calculated compared with cancellous ultimate strength characteristics determine UFL index studied implants. magnitudes influenced their dimensions, elasticity, quality. predetermined strength. maxilla moderate modulus allows wide screwless molar site good clinical perspective.

Language: Английский

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Evaluating the effect of printing parameters on the performance of resin occlusal splints for a sustainable dentistry

Journal of Applied Biomaterials & Functional Materials, Journal Year: 2025, Volume and Issue: 23

Published: April 1, 2025

Bruxism affects millions worldwide, leading to dental damage like worn teeth and tooth loss. Resin 3D printing presents a promising method for creating intricate, comfortable, durable occlusal splints. This study examines how parameters—layer thickness, orientation angle, curing time—affect the mechanical (compressive strength, wear rate, impact strength) physical (water sorption, surface roughness, dimensional accuracy) properties of splints made from methacrylate-based resin. A total 120 specimens were produced according American Society Testing Materials (ASTM) standards using different parametric combinations. The response methodology (RSM) was applied optimize key parameters. optimum parameters compressive strength include layer height 16.5 mm, time 93.6 min, an angle 12.8º, yielding 9.05 MPa, rate 159 mm 3 /min, 71.58 J/m. Similarly, results minimum roughness (8.013 microns), maximum accuracy (97.67 water sorption (0.386%) are achieved at thickness 16 93 12º. Results show that optimizing resin significantly reduces production costs, particularly in regions with limited access care, while promoting sustainable solutions by minimizing environmental traditional manufacturing methods enhancing efficiency splint production.

Language: Английский

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Effect of crystallization process on the electrical, and piezoelectric properties of PLA scaffolds

Journal of Materials Research and Technology, Journal Year: 2023, Volume and Issue: 27, P. 3815 - 3824

Published: Nov. 1, 2023

This paper investigates the fabrication and characterization of piezoelectric properties in electrospun polylactic acid (PLA) scaffolds for tissue engineering applications. The aim is to enhance mechanical electrical mimic native tissues. Thermo-mechanical processing techniques, including post-processing under various temperature, weight, time conditions, are employed modify scaffolds. effects these parameters on morphological, piezoelectric, crystalline PLA examined. exhibit partially parallel beadles fibers with varying degrees alignment thickness, depending applied parameters. These morphological features play a crucial role enhancing Differential scanning calorimetry (DSC) X-ray diffraction (XRD) analyses demonstrate that thermo-mechanical promotes formation α phase increases degree crystallinity orientation influenced by time, temperature during post-processing. Furthermore, study examines conductivity ferroelectric results indicate enhanced scaffolds, as evidenced measured output voltages. However, behavior not observed due absence crystal symmetry PLA.

Language: Английский

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A statistical shape analysis for the assessment of the main geometrical features of the distal femoral medullary canal

Frontiers in Bioengineering and Biotechnology, Journal Year: 2024, Volume and Issue: 12

Published: April 10, 2024

Statistical Shape Models (SSMs) are widely used in orthopedics to extract the main shape features from bone regions (e.g., femur). This study aims develop an SSM of femoral medullary canal, investigate its anatomical variability, and assess variations depending on canal length. The canals were isolated 72 CT femur scans, through a threshold-based segmentation. A region interest (ROI) was selected; sixteen segments extracted ROI, ranging 25% full length down most distal segment. An developed identify modes variation for each number Principal Components (PCs) needed explain at least 90% variance three/four based examined relationship between identified PCs geometric parameters like length, radius curvature, ellipticity, mean diameter, conicity, reporting range percentage these SSMs provide insights into variability emphasizing importance considering different capture various These findings can contribute design personalized orthopedic implants involving femur.

Language: Английский

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A review of computational optimization of bone scaffold architecture: Methods, challenges, and perspectives

Progress in Biomedical Engineering, Journal Year: 2024, Volume and Issue: 7(1), P. 012003 - 012003

Published: Oct. 16, 2024

Abstract The design and optimization of bone scaffolds are critical for the success tissue engineering (BTE) applications. This review paper provides a comprehensive analysis computational methods scaffold architecture, focusing on balance between mechanical stability, biological compatibility, manufacturability. Finite element method (FEM), fluid dynamics (CFD), various algorithms discussed their roles in simulating refining designs. integration multiobjective topology has been highlighted developing that meet multifaceted requirements BTE. Challenges such as need consideration manufacturing constraints incorporation degradation regeneration models into process have identified. underscores potential advanced tools additive techniques evolving field BTE, aiming to improve patient outcomes regeneration. reliability current is examined, with suggestions incorporating non-deterministic approaches vivo validations enhance practical application optimized scaffolds. concludes call further research artificial intelligence-based advance optimization.

Language: Английский

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