AIMC Topic: Materials Testing

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Tensile strength analysis of additively manufactured CM 247LC alloy specimen by employing machine learning classifiers.

PloS one Jul 29, 2024
Using a cutting-edge net-shape manufacturing technique called Additive Layer Manufacturing (ALM), highly complex components that are not achievable with conventional wrought and cast methods can be produced. As a result, the aerospace sector is payin...
Machine Learning Algorithms Alloys Nickel Materials Testing Tensile Strength
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Design of Co-Cured Multi-Component Thermosets with Enhanced Heat Resistance, Toughness, and Processability via a Machine Learning Approach.

Macromolecular rapid communications Jul 17, 2024
Designing heat-resistant thermosets with excellent comprehensive performance has been a long-standing challenge. Co-curing of various high-performance thermosets is an effective strategy, however, the traditional trial-and-error experiments have long...
Silicon Hot Temperature Machine Learning Molecular Structure Polymers Materials Testing
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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...
Prosthesis Design Materials Testing Biomechanical Phenomena Animals Finite Element Analysis Models, Cardiovascular Biocompatible Materials Tissue Engineering Humans Machine Learning
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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...
Animals Silk Materials Testing Tensile Strength Neural Networks, Computer Machine Learning
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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 ...
Tissue Engineering Tissue Scaffolds Machine Learning Materials Testing Tensile Strength Mechanical Phenomena Biomimetic Materials Polyvinyl Alcohol
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Predicting concrete strength early age using a combination of machine learning and electromechanical impedance with nano-enhanced sensors.

Environmental research May 31, 2024
To ensure the structural integrity of concrete and prevent unanticipated fracturing, real-time monitoring of early-age concrete's strength development is essential, mainly through advanced techniques such as nano-enhanced sensors. The piezoelectric-b...
Neural Networks, Computer Electric Impedance Materials Testing Nanotechnology Machine Learning Construction Materials
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Mechanical strength recognition and classification of thermal protective fabric images after thermal aging based on deep learning.

International journal of occupational safety and ergonomics : JOSE May 14, 2024
. Currently, numerous studies have focused on testing or modeling to evaluate the safe service life of thermal protective clothing after thermal aging, reducing the risk to occupational personnel. However, testing will render the garment unsuitable f...
Textiles Protective Clothing Humans Deep Learning Materials Testing
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Study on design optimization of GFRP tubular column composite structure based on machine learning method.

PloS one Apr 26, 2024
Circular reinforced concrete wound glass fiber reinforced polymer (GFRP) columns and reinforced concrete filled GFRP columns are extensively utilized in civil engineering practice. Various factors influence the performance of these two types of GFRP ...
Machine Learning Materials Testing Glass Construction Materials Polymers
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CAD-CAM resin composites: Effective components for further development.

Dental materials : official publication of the Academy of Dental Materials Jan 15, 2024
OBJECTIVE: This paper summarizes the effective components of computer-aided design and computer-aided manufacturing (CAD-CAM) resin composites that contribute to achieving greater mechanical properties and further development.
Surface Properties Ceramics Silanes Composite Resins Artificial Intelligence Materials Testing Computer-Aided Design
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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 Artificial Intelligence Materials Testing Support Vector Machine
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