AIMC Topic: Elastic Modulus

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Adaptive Self-Sealing Suction-Based Soft Robotic Gripper.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jul 3, 2021
While suction cups prevail as common gripping tools for a wide range of real-world parts and surfaces, they often fail to seal the contact interface when engaging with irregular shapes and textured surfaces. In this work, the authors propose a suctio...
Hand Strength Suction Mechanical Phenomena Elastic Modulus Robotics Equipment Design
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A New Tactile Transfer Cell Using Magnetorheological Materials for Robot-Assisted Minimally Invasive Surgery.

Sensors (Basel, Switzerland) Apr 26, 2021
This paper proposes a new type of tactile transfer cell which can be effectively applied to robot-assisted minimally invasive surgery (RMIS). The proposed tactile device is manufactured from two smart materials, a magnetorheological fluid (MRF) and a...
Touch Elastic Modulus Minimally Invasive Surgical Procedures Hardness Humans Robotics
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An insight into predictive parameters of tablet capping by machine learning and multivariate tools.

International journal of pharmaceutics Mar 2, 2021
Capping is the frequently observed mechanical defect in tablets arising from the sub-optimal selection of the formulation composition and their robustness of response toward process parameters. Hence, overcoming capping propensity based on the unders...
Drug Compounding Tensile Strength Elastic Modulus Porosity Tablets Powders Machine Learning
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Data-smart machine learning methods for predicting composition-dependent Young's modulus of pharmaceutical compacts.

International journal of pharmaceutics Nov 7, 2020
The ability to predict mechanical properties of compacted powder blends of Active Pharmaceutical Ingredients (API) and excipients solely from component properties can reduce the amount of 'trial-and-error' involved in formulation design. Machine Lear...
Tablets Drug Compounding Chemistry, Pharmaceutical Machine Learning Elastic Modulus
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Cryostructuring of Polymeric Systems : Application of Deep Neural Networks for the Classification of Structural Features Peculiar to Macroporous Poly(vinyl alcohol) Cryogels Prepared without and with the Additives of Chaotropes or Kosmotropes.

Molecules (Basel, Switzerland) Sep 29, 2020
Macroporous poly(vinyl alcohol) cryogels (PVACGs) are physical gels formed via cryogenic processing of polymer solutions. The properties of PVACGs depend on many factors: the characteristics and concentration of PVA, the absence or presence of foreig...
Hot Temperature Polyvinyl Alcohol Elastic Modulus Porosity Freezing Cryogels Neural Networks, Computer Polymers
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Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability.

Biofabrication May 28, 2020
Although three-dimensional (3D) bioprinting technology is rapidly developing, the design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study, we developed a machine learning-based method to design 3D-printable bioink u...
Stress, Mechanical Ink Elastic Modulus Rheology Collagen Hydrogels Bioprinting Machine Learning Animals Rats Printing, Three-Dimensional Cattle Humans
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Parametric investigation of the effects of load level on fatigue crack growth in trabecular bone based on artificial neural network computation.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine May 21, 2020
This study reports the development of an artificial neural network computation model to predict the accumulation of crack density and crack length in cancellous bone under a cyclic load. The model was then applied to conduct a parametric investigatio...
Neural Networks, Computer Bone Density Materials Testing Stress, Mechanical Fractures, Bone Humans Elastic Modulus Cancellous Bone X-Ray Microtomography Weight-Bearing
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Physics-guided machine learning for 3-D quantitative quasi-static elasticity imaging.

Physics in medicine and biology Mar 20, 2020
We present a 3D extension of the Autoprogressive Method (AutoP) for quantitative quasi-static ultrasonic elastography (QUSE) based on sparse sampling of force-displacement measurements. Compared to current model-based inverse methods, our approach re...
Elasticity Imaging Techniques Finite Element Analysis Elastic Modulus Machine Learning Imaging, Three-Dimensional Phantoms, Imaging Humans Neural Networks, Computer
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Towards an ontology for soft robots: what is soft?

Bioinspiration & biomimetics Oct 25, 2019
The advent of soft robotics represents a profound change in the forms robots will take in the future. However, this revolutionary change has already yielded such a diverse collection of robots that attempts at defining this group do not reflect many ...
Equipment Design Biological Ontologies Elastic Modulus Humans Robotics
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Simulation of hyperelastic materials in real-time using deep learning.

Medical image analysis Oct 2, 2019
The finite element method (FEM) is among the most commonly used numerical methods for solving engineering problems. Due to its computational cost, various ideas have been introduced to reduce computation times, such as domain decomposition, parallel ...
Deep Learning Liver Finite Element Analysis Elastic Modulus Datasets as Topic Humans Computer Simulation Tomography, X-Ray Computed Biomechanical Phenomena
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