AIMC Topic: Finite Element Analysis

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Reliability analysis of the solidification cooling of solid rocket motor grain material.

PloS one Aug 20, 2024
The reliability of solid rocket motor grain structure during solidification cooling is analyzed. First, a three-dimensional parametric modeling of the grain is carried out by ANSYS finite element software. The dangerous point and dangerous moment can...
Models, Theoretical Neural Networks, Computer Cold Temperature Reproducibility of Results Finite Element Analysis
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A machine learning approach to predict in vivo skin growth.

Scientific reports Jul 29, 2024
Since their invention, tissue expanders, which are designed to trigger additional skin growth, have revolutionised many reconstructive surgeries. Currently, however, the sole quantitative method to assess skin growth requires skin excision. Thus, in ...
Humans Neural Networks, Computer Machine Learning Skin Finite Element Analysis Tissue Expansion
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Real-time prediction of postoperative spinal shape with machine learning models trained on finite element biomechanical simulations.

International journal of computer assisted radiology and surgery Jul 23, 2024
PURPOSE: Adolescent idiopathic scoliosis is a chronic disease that may require correction surgery. The finite element method (FEM) is a popular option to plan the outcome of surgery on a patient-based model. However, it requires considerable computin...
Algorithms Computer Simulation Female Humans Machine Learning Imaging, Three-Dimensional Principal Component Analysis Spine Biomechanical Phenomena Male Adolescent Finite Element Analysis Scoliosis Postoperative Period
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Finite element models with automatic computed tomography bone segmentation for failure load computation.

Scientific reports Jul 17, 2024
Bone segmentation is an important step to perform biomechanical failure load simulations on in-vivo CT data of patients with bone metastasis, as it is a mandatory operation to obtain meshes needed for numerical simulations. Segmentation can be a tedi...
Bone and Bones Finite Element Analysis Humans Image Processing, Computer-Assisted Tomography, X-Ray Computed Computer Simulation Spine Biomechanical Phenomena Femur Deep Learning
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Review of Machine Learning Techniques in Soft Tissue Biomechanics and Biomaterials.

Cardiovascular engineering and technology Jul 2, 2024
BACKGROUND AND OBJECTIVE: Advanced material models and material characterization of soft biological tissues play an essential role in pre-surgical planning for vascular surgeries and transcatheter interventions. Recent advances in heart valve enginee...
Machine Learning Biomechanical Phenomena Animals Tissue Engineering Humans Finite Element Analysis Models, Cardiovascular Prosthesis Design Materials Testing Biocompatible Materials
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A parameter estimation method for chromatographic separation process based on physics-informed neural network.

Journal of chromatography. A Jun 12, 2024
Chromatographic separation processes are most often modeled in the form of partial differential equations (PDEs) to describe the complex adsorption equilibria and kinetics. However, identifying parameters in such a model requires substantial computat...
Chromatography Neural Networks, Computer Finite Element Analysis Adsorption Models, Chemical Kinetics Algorithms Computer Simulation
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Assessing screw length impact on bone strain in proximal humerus fracture fixation via surrogate modelling.

International journal for numerical methods in biomedical engineering Jun 12, 2024
A high failure rate is associated with fracture plates in proximal humerus fractures. The causes of failure remain unclear due to the complexity of the problem including the number and position of the screws, their length and orientation in the space...
Shoulder Fractures Humans Stress, Mechanical Neural Networks, Computer Humerus Fracture Fixation, Internal Finite Element Analysis Bone Screws
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Knee-Loading Predictions with Neural Networks Improve Finite Element Modeling Classifications of Knee Osteoarthritis: Data from the Osteoarthritis Initiative.

Annals of biomedical engineering Jun 6, 2024
Physics-based modeling methods have the potential to investigate the mechanical factors associated with knee osteoarthritis (OA) and predict the future radiographic condition of the joint. However, it remains unclear what level of detail is optimal i...
Cartilage, Articular Finite Element Analysis Weight-Bearing Models, Biological Osteoarthritis, Knee Female Aged Male Middle Aged Knee Joint Gait Humans Neural Networks, Computer
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GNN-Based Concentration Prediction With Variable Input Flow Rates for Microfluidic Mixers.

IEEE transactions on biomedical circuits and systems May 28, 2024
Recent years have witnessed significant advances brought by microfluidic biochips in automating biochemical protocols. Accurate preparation of fluid samples is an essential component of these protocols, where concentration prediction and generation a...
Neural Networks, Computer Microfluidic Analytical Techniques Machine Learning Finite Element Analysis Microfluidics Lab-On-A-Chip Devices
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Automatic segmentation of femoral tumors by nnU-net.

Clinical biomechanics (Bristol, Avon) May 16, 2024
BACKGROUND: Metastatic femoral tumors may lead to pathological fractures during daily activities. A CT-based finite element analysis of a patient's femurs was shown to assist orthopedic surgeons in making informed decisions about the risk of fracture...
Finite Element Analysis Humans Femoral Neoplasms Female Image Processing, Computer-Assisted Male Algorithms Deep Learning Femur Tomography, X-Ray Computed
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