AIMC Topic: Tensile Strength

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Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network.

Computational intelligence and neuroscience
In the 21 century, with the increasingly urgent requirements for lightweight in the fields of aviation, aerospace, and electronics, especially automobiles, many properties of magnesium alloy materials, especially the low-density performance character...

An insight into predictive parameters of tablet capping by machine learning and multivariate tools.

International journal of pharmaceutics
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...

Optimization of the process variables of roller compaction, on the basis of granules characteristics (flow, mechanical strength, and disintegration behavior): an application of SeDeM-ODT expert system.

Drug development and industrial pharmacy
The objective of the study was application of SeDeM-ODT expert system for optimization of process variables for roller compaction and for the preparation of granules with better flow, compressibility, and disintegration behavior. In the present study...

Wet-Spun Biofiber for Torsional Artificial Muscles.

Soft robotics
The demands for new types of artificial muscles continue to grow and novel approaches are being enabled by the advent of new materials and novel fabrication strategies. Self-powered actuators have attracted significant attention due to their ability ...

Stiffness Customization and Patterning for Property Modulation of Silicone-Based Soft Pneumatic Actuators.

Soft robotics
Soft pneumatic actuators (SPAs), as novel types of motion drivers for robotic devices, excel in many applications, such as rehabilitation and biomimicry, which demand compliance and softness. To further expand their scope of utilization, the SPAs sho...

Optimizing Double-Network Hydrogel for Biomedical Soft Robots.

Soft robotics
Double-network hydrogel with standardized chemical parameters demonstrates a reasonable and viable alternative to silicone in soft robotic fabrication due to its biocompatibility, comparable mechanical properties, and customizability through the alte...

Bio-inspired, Moisture-Powered Hybrid Carbon Nanotube Yarn Muscles.

Scientific reports
Hygromorph artificial muscles are attractive as self-powered actuators driven by moisture from the ambient environment. Previously reported hygromorph muscles have been largely limited to bending or torsional motions or as tensile actuators with low ...

A scalable, high resolution strain sensing matrix suitable for tactile transduction.

Journal of biomechanics
The integration of tactile information, such as contact area, displacement magnitude, velocity, and acceleration, is paramount to the optimization of robotics in human-centric environments. Cost effective embeddable sensors with scalable receptive fi...

A methodological evaluation and predictive in silico investigation into the multi-functionality of arginine in directly compressed tablets.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
The acceleration of solid dosage form product development can be facilitated by the inclusion of excipients that exhibit poly-/multi-functionality with reduction of the time invested in multiple excipient optimisations. Because active pharmaceutical ...

Antibacterial, Antifreezing, and Tough Electronic Skin Based on a Tanned Collagen Fiber Network for Underwater Grabber Application.

ACS applied materials & interfaces
The environment of underwater salvage is very special, and many factors such as real-time water conditions, the depth of salvage, and the complexity of underwater conditions could greatly affect the smooth progress of the salvage process. How to accu...