AIMC Topic: Finite Element Analysis

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A reconfigurable exoskeleton bionic rigid-soft combination gripper.

Bioinspiration & biomimetics
Soft-body grippers are highly pliable due to the use of flexible materials, which enable safe grasping of objects, but their load-bearing capacity is limited by the mechanical properties of the materials themselves. To address the problem of insuffic...

A novel prediction approach of three-dimensional thermal fatigue cracks in thermal compression bonding electrodes based on digital twin.

PloS one
Thermal compression bonding (TCB) electrodes that initiate thermal fatigue cracks compromise reliability and takt time in electronic manufacturing, and accurate prediction of three-dimensional (3D) electrode cracks is a prerequisite for crack mitigat...

Design and optimization of soft finger actuators for rehabilitation applications: A combined finite element and neural network approach.

PloS one
This study presents a comprehensive analysis of soft finger actuators using finite element modeling to assess their performance in various structural configurations. By conducting detailed numerical simulations, we explore how variations in structura...

Computational analysis of L4-L5 interspinous process devices and interbody fusion spacers using ceramic and polymeric materials via finite element modeling and artificial intelligence.

Scientific reports
Lumbar spinal stenosis involves pathological narrowing of the spinal canal, whereas disc degeneration refers to the progressive deterioration of intervertebral disc structure and function. Interspinous process devices (ISPs) are commonly used to mana...

Streamlined and efficient patient-specific modeling for lumbar spine segmentation and finite element analysis.

Scientific reports
Advancing our understanding of spinal biomechanics through Finite Element Analysis (FEA) is essential for clinical decision-making and biomechanical research. Traditional FEA workflows are hindered by manual segmentation and meshing, introducing inco...

A collaborative approach of finite element method and machine learning algorithms for biomechanical analysis of implants used in tibial shaft fractures.

BMC musculoskeletal disorders
BACKGROUND: Tibial fractures are among the most common complex orthopedic injuries. The mechanical strength and biomaterial properties of implants used in the treatment of such fractures directly affect the healing process. In this study, the mechani...

From beetle to bot: bioinspired design of robotic grippers based on stag beetle mandible biomechanics.

Bioinspiration & biomimetics
Conventional rigid grippers remain the most-used robotic grippers in industrial assembly tasks. However, they are limited in their ability to handle a diverse range of objects. This study draws inspiration from nature to address these limitations, em...

Revolutionizing spine surgery with emerging AI-FEA integration.

Journal of robotic surgery
This study explores the integration of artificial intelligence (AI) and finite element analysis (FEA) in spine surgery, highlighting their complementary roles across preoperative planning, intraoperative execution, and postoperative outcome predictio...

Adaptive force-position-speed collaborative process planning and roughness prediction for robotic polishing.

PloS one
In this study, an adaptive force-position-speed collaborative process planning framework for robot polishing was proposed to improve the stability of the robot polishing process. The material removal model based on Preston's theory was studied, and t...

Computational optimization of 3D printed bone scaffolds using orthogonal array-driven FEA and neural network modeling.

Scientific reports
Today, orthopedic surgeons have been continuously focusing on bone tissue engineering for regenerating damaged bone through the use of biomimetic scaffolds and innovative materials. Hence, this study presents a comprehensive investigation into the op...