Computational design and optimization of a biomimetic self-healing/cooling composite material

2007 ◽  
Author(s):  
Alejandro M. Aragón ◽  
Christopher J. Hansen ◽  
Willie Wu ◽  
Philippe H. Geubelle ◽  
Jennifer Lewis ◽  
...  
Keyword(s):  
Composite Material ◽  
Computational Design ◽  
Self Healing ◽  
Design And Optimization

Layered Self-Healing Composite Material with an Internal Functional Layer Based on Borosiloxane

2020 ◽  
Vol 11 (5) ◽  
pp. 1051-1059
Author(s):  
N. N. Sitnikov ◽  
I. A. Khabibullina ◽  
V. I. Mashchenko ◽  
A. V. Shelyakov ◽  
K. S. Mostovaya ◽  
...  
Keyword(s):  
Composite Material ◽  
Self Healing ◽  
Functional Layer

scholarly journals Computational design and optimization of electro-physiological sensors

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aditya Shekhar Nittala ◽  
Andreas Karrenbauer ◽  
Arshad Khan ◽  
Tobias Kraus ◽  
Jürgen Steimle
Keyword(s):  
Form Factors ◽  
Computational Design ◽  
Quantitative Agreement ◽  
Physiological Data ◽  
High Signal ◽  
Signal Acquisition ◽  
Design And Optimization ◽  
Graphical Tool ◽  
Small Device ◽  
Physiological Sensors

AbstractElectro-physiological sensing devices are becoming increasingly common in diverse applications. However, designing such sensors in compact form factors and for high-quality signal acquisition is a challenging task even for experts, is typically done using heuristics, and requires extensive training. Our work proposes a computational approach for designing multi-modal electro-physiological sensors. By employing an optimization-based approach alongside an integrated predictive model for multiple modalities, compact sensors can be created which offer an optimal trade-off between high signal quality and small device size. The task is assisted by a graphical tool that allows to easily specify design preferences and to visually analyze the generated designs in real-time, enabling designer-in-the-loop optimization. Experimental results show high quantitative agreement between the prediction of the optimizer and experimentally collected physiological data. They demonstrate that generated designs can achieve an optimal balance between the size of the sensor and its signal acquisition capability, outperforming expert generated solutions.

Computational Design and Optimization of Nerve Guidance Conduits for Improved Mechanical Properties and Permeability

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Shuo Zhang ◽  
Sanjairaj Vijayavenkataraman ◽  
Geng Liang Chong ◽  
Jerry Ying Hsi Fuh ◽  
Wen Feng Lu
Keyword(s):  
Mechanical Properties ◽  
Tissue Engineering ◽  
Mechanical Strength ◽  
Tensile Modulus ◽  
Computational Design ◽  
Structural Features ◽  
Nerve Tissue ◽  
High Porosity ◽  
Engineering Research ◽  
Design And Optimization

Nerve guidance conduits (NGCs) are tubular tissue engineering scaffolds used for nerve regeneration. The poor mechanical properties and porosity have always compromised their performances for guiding and supporting axonal growth. Therefore, in order to improve the properties of NGCs, the computational design approach was adopted to investigate the effects of different NGC structural features on their various properties, and finally, design an ideal NGC with mechanical properties matching human nerves and high porosity and permeability. Three common NGC designs, namely hollow luminal, multichannel, and microgrooved, were chosen in this study. Simulations were conducted to study the mechanical properties and permeability. The results show that pore size is the most influential structural feature for NGC tensile modulus. Multichannel NGCs have higher mechanical strength but lower permeability compared to other designs. Square pores lead to higher permeability but lower mechanical strength than circular pores. The study finally selected an optimized hollow luminal NGC with a porosity of 71% and a tensile modulus of 8 MPa to achieve multiple design requirements. The use of computational design and optimization was shown to be promising in future NGC design and nerve tissue engineering research.

Multilayer Coatings Using Epoxy and Superabsorbent Polymer Composite Material with Self Healing Property

2020 ◽  
Vol 861 ◽  
pp. 202-212
Author(s):  
Ariel Verzosa Melendres ◽  
Mel Bryan L. Espenilla ◽  
Araceli M. Monsada ◽  
Rolan Pepito Vera Cruz
Keyword(s):  
Composite Material ◽  
Sodium Chloride ◽  
Carbon Steel ◽  
Sea Water ◽  
Multilayer Coating ◽  
Steel Specimen ◽  
Polymer Composite Material ◽  
Superabsorbent Polymer ◽  
Self Healing ◽  
Healing Property

The property of superabsorbent polymer (SAP) was investigated as component of composite material for corrosion control application. The composite material is a multilayer coating consisting of SAP particles, epoxy and hardener. The absorption property of SAP at different concentrations of sodium chloride was measured. It included 3% NaCl concentration, which represent the concentration of salt in sea water, an environment which is corrosive to carbon steel. Results showed decreasing absorbency of SAP at increasing concentration of sodium chloride. Predetermined amount of SAP and epoxy were mixed to obtain a homogenous mixture after which the hardener was added and mixed homogenously to form the composite material’s main component. The composite material was studied for absorption properties in an HDPLE substrate and then later applied onto a carbon steel specimen of size 40 mm x 100 cm and thickness of 0.70 mm using paint brush forming a film on the carbon steel surface. After curing, the film was scratched with a definite length using a sharp knife. Immediately, the samples were exposed to cyclic immersion in 3% sodium chloride solution and subsequent drying to run the corrosion test. Results showed that the composite material was able to control corrosion on the surface of the carbon steel which could be attributed to its self-healing property.

scholarly journals Computational Design and Optimization of Non‐Circular Gears

2020 ◽  
Vol 39 (2) ◽  
pp. 399-409
Author(s):  
Hao Xu ◽  
Tianwen Fu ◽  
Peng Song ◽  
Mingjun Zhou ◽  
Chi‐Wing Fu ◽  
...  
Keyword(s):  
Computational Design ◽  
Design And Optimization

A tannic acid-reinforced PEEK-hydrogel composite material with good biotribological and self-healing properties for artificial joints

2021 ◽  
Author(s):  
Yuntong Liu ◽  
Dangsheng Xiong
Keyword(s):  
Composite Material ◽  
Tannic Acid ◽  
Subchondral Bone ◽  
Friction And Wear ◽  
Bone Structure ◽  
Promising Material ◽  
Self Healing ◽  
Artificial Joints ◽  
Hydrogel Composite ◽  
Joint Implants

Polyetheretherketone (PEEK) is widely considered as a promising material for joint implants but it still has limitations involving high friction and wear. Mimicking the cartilage-subchondral bone structure in natural joints,...

Sign in / Sign up

Export Citation Format

Share Document