AIMC Topic: Tensile Strength

Clear Filters Showing 11 to 20 of 36 articles

A study of forecasting the Nephila clavipes silk fiber's ultimate tensile strength using machine learning strategies.

Journal of the mechanical behavior of biomedical materials Jun 26, 2024
Recent advancements in biomaterial research conduct artificial intelligence for predicting diverse material properties. However, research predicting the mechanical properties of biomaterial based on amino acid sequences have been notably absent. This...
Materials Testing Tensile Strength Animals Machine Learning Neural Networks, Computer Silk
View on PubMed DOI

Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability.

Journal of the mechanical behavior of biomedical materials Jun 17, 2024
Currently, the use of autografts is the gold standard for the replacement of many damaged biological tissues. However, this practice presents disadvantages that can be mitigated through tissue-engineered implants. The aim of this study is to explore ...
Machine Learning Materials Testing Tissue Engineering Polyvinyl Alcohol Tensile Strength Mechanical Phenomena Tissue Scaffolds Biomimetic Materials
View on PubMed DOI

Optimizing the selection of natural fibre reinforcement and polymer matrix for plastic composite using LS-SVM technique.

Chemosphere Dec 18, 2023
The manufacturing sector is paying close attention to plastic matrix composites (PMCs) reinforced with natural fibres for improving their products. Due to the fact that PMC reinforced with naturally occurring fibres is more affordable and has superio...
Tensile Strength Polymers Materials Testing Artificial Intelligence Support Vector Machine
View on PubMed DOI

Application of unsupervised and supervised learning to a material attribute database of tablets produced at two different granulation scales.

International journal of pharmaceutics May 20, 2023
The purpose of this study is to demonstrate the usefulness of machine learning (ML) for analyzing a material attribute database from tablets produced at different granulation scales. High shear wet granulators (scale 30 g and 1000 g) were used and da...
Tablets Supervised Machine Learning Particle Size Surface Properties Pressure Tensile Strength Drug Compounding Technology, Pharmaceutical
View on PubMed DOI

A strategy to formulate data-driven constitutive models from random multiaxial experiments.

Scientific reports Dec 23, 2022
We present a test technique and an accompanying computational framework to obtain data-driven, surrogate constitutive models that capture the response of isotropic, elastic-plastic materials loaded in-plane stress by combined normal and shear stresse...
Anisotropy Neural Networks, Computer Plastics Tensile Strength Finite Element Analysis Stress, Mechanical
View on PubMed DOI

3D printing of resilient biogels for omnidirectional and exteroceptive soft actuators.

Science robotics Feb 2, 2022
Soft robotics greatly benefits from nature as a source of inspiration, introducing innate means of safe interaction between robotic appliances and living organisms. In contrast, the materials involved are often nonbiodegradable or stem from nonrenewa...
Ink Optical Phenomena Tensile Strength Gelatin Robotics Humans Hydrogels Equipment Design Printing, Three-Dimensional Biocompatible Materials Biomimetic Materials
View on PubMed DOI

Smart surgical sutures using soft artificial muscles.

Scientific reports Nov 17, 2021
Wound closure with surgical sutures is a critical challenge for flexible endoscopic surgeries. Substantial efforts have been introduced to develop functional and smart surgical sutures to either monitor wound conditions or ease the complexity of knot...
Materials Testing Needles Suture Techniques Endoscopy Suture Anchors Animals Wound Closure Techniques Stomach Robotics Colon Tensile Strength Sutures Muscles Swine
View on PubMed DOI

Application of machine learning to a material library for modeling of relationships between material properties and tablet properties.

International journal of pharmaceutics Oct 6, 2021
This study investigates the usefulness of machine learning for modeling complex relationships in a material library. We tested 81 types of active pharmaceutical ingredients (APIs) and their tablets to construct the library, which included the followi...
Machine Learning Excipients Tablets Drug Compounding Tensile Strength
View on PubMed DOI

Use of machine learning in prediction of granule particle size distribution and tablet tensile strength in commercial pharmaceutical manufacturing.

International journal of pharmaceutics Sep 29, 2021
In the manufacturing of pharmaceutical Oral Solid Dosage (OSD) forms, Particle Size Distribution (PSD) and Tensile Strength (TS) are common in-process tests that are controlled in order to achieve the quality targets of the end-product. The Quality b...
Technology, Pharmaceutical Tensile Strength Tablets Machine Learning Drug Compounding Particle Size
View on PubMed DOI

A Bioinspired Stress-Response Strategy for High-Speed Soft Grippers.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Sep 2, 2021
The stress-response strategy is one of the nature's greatest developments, enabling animals and plants to respond quickly to environmental stimuli. One example is the stress-response strategy of the Venus flytrap, which enables such a delicate plant ...
Tensile Strength Biological Phenomena Robotics Equipment Design Polyurethanes
View on PubMed DOI
Popular Topics
Recent Journals