A5049947779- Carbon Nanotubes in Composites
- Additive Manufacturing and 3D Printing Technologies
- Bone Tissue Engineering Materials
- Boron and Carbon Nanomaterials Research
- Advanced ceramic materials synthesis
- Graphene research and applications
- Calcium Carbonate Crystallization and Inhibition
- Cellular and Composite Structures
- Thermal properties of materials
- Polymer Nanocomposites and Properties
- Advanced Materials and Mechanics
- Smart Materials for Construction
- Mechanical Behavior of Composites
- Building materials and conservation
- Machine Learning in Materials Science
- Laser Material Processing Techniques
- Acoustic Wave Phenomena Research
- Fiber-reinforced polymer composites
- Advanced Sensor and Energy Harvesting Materials
- Innovations in Concrete and Construction Materials
- Nanotechnology research and applications
- Epoxy Resin Curing Processes
- Conducting polymers and applications
- Polymer Nanocomposite Synthesis and Irradiation
- Tribology and Wear Analysis
National Research Council Canada
2016-2025
Polytechnique Montréal
2021-2024
Amirkabir University of Technology
2018
National Academies of Sciences, Engineering, and Medicine
2012-2015
McGill University
2005-2011
Nanocomposites are a promising new class of structural materials for the mechanical components microelectromechanical systems (MEMS). This paper presents detailed theoretical investigation utility carbon nanotube-reinforced composites designing actuators with low stiffness and high natural frequencies vibration. The modelled as beams solid rectangular cross-section consisting an isotropic matrix reinforced transversely nanotubes. Three different types nanotube reinforcements considered:...
The effect of polyetherimide (PEI) as a compatibilizing agent on the morphology, thermal, electrical and dynamic mechanical properties poly(ether ether ketone) (PEEK)/single-walled carbon nanotube (SWCNT) nanocomposites, has been investigated for different CNT loadings. After pre-processing step based ball milling pre-mixing under treatment in ethanol, samples were prepared by melt extrusion. A more homogeneous distribution CNTs throughout matrix is found composites containing PEI, revealed...
Reduced single-walled carbon nanotubes (r-SWCNT) are shown to react readily at room temperature under inert atmosphere conditions with epoxide moieties, such as those in triglycidyl p-amino phenol (TGAP), produce a soft covalently bonded interface around the SWCNT. The is compatible SWCNT-free cross-linked cured matrix and acts toughener for composite. Incorporation of 0.2 wt % r-SWCNT enhances ultimate tensile strength, toughness fracture by 32, 118, 40%, respectively, without change...
Owing to freedom of design, simplicity, and ability handle complex structures, additive manufacturing (AM) or 3D printing ceramics represents a promising enabling technology has already been used produce geometrically ceramic components metamaterials. Consequently, novel applications for additively manufactured ceramics, which leverage their structural, high temperature, chemical-resistant properties, have proposed in areas ranging from electrical engineering micro/nanoelectronics chemical...
Multicomponent nanocomposite materials based on a high-performance epoxy system and single-walled carbon nanotubes (SWNTs) have been prepared. The noncovalent wrapping of nitric acid-treated SWNTs with PEO-based amphiphilic block copolymer leads to highly disaggregated filler boosted miscibility in the matrix, allowing its dispersion without organic solvents. Although direct results modestly improved matrix mechanical properties, incorporation wrapped produces huge increase toughness (276%...
Combining high strength and toughness still remains a challenge in engineered materials. With the aim of improving high-strength ceramics, multilayered architectured ceramic panels were developed inspired by natural materials such as nacre conch shell. These manufactured stacking laser-engraved tiles commercial monomer Surlyn or Ethylene-vinyl acetate (EVA) resins. The mechanics ceramics was investigated both numerically experimentally subjecting them to out-of-plane quasi-static impact...
Abstract Ceramics possess desirable stiffness, compressive strength, and thermal properties compared to alternative material classes. Despite this, the adoption of ceramics into advanced industries has been hindered by their inherent brittleness. Using a state‐of‐the‐art manufacturing platform, authors incorporate disordered microstructural features inspired those found in natural, impact‐resistant organisms using tessellated ceramic cells. To precisely mimic these natural patterns, disorder...
Topologically interlocked architectures can transform brittle ceramics into tougher materials, while making the material design procedure a cumbersome task since modeling whole architectural space is not efficient and, to degree, viable. We propose an approach architectured using machine learning (ML), trained by finite element analysis data and together with self-learning algorithm, discover high-performance in thermomechanical environments. First, topologically panels are parametrically...
Abstract Brittleness is a major limitation of polymer-derived ceramics (PDCs). Different concentrations three nanofillers (carbon nanotubes, Si 3 N 4 and Al 2 O nanoparticles) were evaluated to improve both toughness modulus commercial polysilazane (PSZ) PDC. The PSZs thermally cross-linked pyrolyzed under isostatic pressure in nitrogen. A combination mechanical, chemical, density, microscopy characterizations was used determine the effects these fillers. nanoparticles (that found be active...
Boron nitride nanotubes (BNNTs) are a very promising reinforcement for future high-performance composites because of their excellent thermo-mechanical properties. To take full advantage BNNTs in composite materials, it is necessary to have comprehensive understanding the wetting characteristics various resins. Molecular dynamics (MD) simulations provide an accurate and efficient approach establish contact angle values engineering polymers on surfaces, which offers measure interaction between...
Disordered structures, characterized by their lack of periodicity, present significant challenges in fields such as materials science and biology. Conventional methods often fall short capturing the intricate properties behaviors these complex systems. For example, prediction material amorphous polymers high‐entropy alloys has historically been inaccurate due to inherent disorder, which arises from probabilistic nature structural defects nonuniform atomic arrangements. However, rise machine...