Properties Of Composite Powders Research Articles

Development of rice-based gluten-free muffins enriched with tigernut dietary fiber

The effects of tigernut dietary fiber (TDF: 5, 10, and 20% w/w) inclusion in rice muffin formulations on the functional and pasting properties of composite powders, as well as the nutritional and sensory properties of muffins were investigated. The results showed a significant (p<0.05) proportional increase in the water and oil holding capacity as TDF increased in the powder blends. Moreover, pasting viscosity was found to decrease with the inclusion of TDF. TDF muffins showed improved nutritional quality, with increased protein (~14%), insoluble fiber (~128%) and total fiber (~34%) contents compared to 100% rice muffins. Also, TDF-muffins had lower baking losses (~22%) and better texture, including firmness and chewiness. Sensory scores of TDF-muffins (up to 10% w/w) showed similar consumer acceptability for all parameters considered. Overall, this study suggests tigernut fiber as a functional additive that balances the growing consumers’ demands for healthy and quality gluten-free rice muffins.

Microstructure and Properties of Powder Composites with Aluminum Matrix Reinforced with Carbon Nanomaterials

Microstructure and Properties of Powder Composites with Aluminum Matrix Reinforced with Carbon Nanomaterials

Selective laser melting of graphene reinforced titanium matrix composites: Powder preparation and its formability

Graphene is an attractive reinforcement in enhancing performances of titanium matrix composites (TMCs). However, the fabrication of graphene reinforced TMCs components is challenging to conventional manufacturing technologies. Selective laser melting (SLM) shows great potential in fabrication of TMCs components. In this study, SLM was employed to fabricate graphene reinforced TMCs, and the effects of ball milling time on properties of composite powder and resultant SLM formability were investigated. The morphologies, chemical composition, flowability and phase constitute of composite powder were evaluated by scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), Hall flowmeter and X-ray diffraction (XRD), respectively. The structure of graphene in composite powder was assessed by Raman spectroscopy. The formability of SLM scanning-track using different composite powder was also studied. The results showed that the composite powder, milled for 5 h, possessed good sphericity, good flowability and well-dispersion of graphene. Finally, the SLM-processed graphene reinforced TMCs, using the optimized composite powder, exhibited higher microhardness of 432.03 HV0.2, higher tensile strength of 1276 MPa and lower coefficient of friction of 0.3453 than that of the SLM-processed TC4, revealing the great improvement in mechanical performance of the SLM-processed TMCs by adding graphene.

Changes in the mechanical properties of powdered aluminum matrix composites modified with micro additive hybrid materials based on multi-walled carbon nanotubes decorated with titanium carbide nanoparticles

The method of powder metallurgy produced bulk composite materials based on aluminum alloy AMg2, strengthened with 0.05 wt.% MWCNT and MWCNT, decorated with TiC nanoparticles. The results of a comparative analysis of the structure-phase composition and properties of powder composites are presented. It has been established that the use of MWCNT-hybrid filler contributes to an increase in the conditional yield strength during compression of a composite material compared with an aluminum-matrix composite filled with MWCNT.

Changes in the Mechanical Properties of Powder Aluminum Matrix Composites Modified by Microadditives of Hybrid Materials Based on Multiwall Carbon Nanotubes Decorated with Titanium Carbide Nanoparticles

The method of powder metallurgy produced bulk composite materials based on aluminum alloy AMg2, strengthened with 0.05 wt.% MWCNT and MWCNT, decorated with TiC nanoparticles. The results of a comparative analysis of the structure-phase composition and properties of powder composites are presented. It has been established that the use of MWCNT-hybrid filler contributes to an increase in the conditional yield strength during compression of a composite material compared with an aluminum-matrix composite filled with MWCNT.

The Influence of Deformation Modes on the Structure and Properties of Al–Mg–X Powder Composites. III. The Influence of Nanosized SiC Powder Content and Deformation Processing on the Properties of AMg5 Alloy Powder Composites

The structure and mechanical properties of a powder composite with an AMg5 alloy metallic matrix reinforced with SiC particles have been examined. The composite with 3% reinforcing phase shows the best combination of strength, ductility, and damping capacity. Additional deformation processing of the composite improves its strength but reduces ductility because of planar pores observed on the fracture surface of severely deformed samples. It is shown that 30% strain hardening in the rolling process is not accompanied by reduction in ductility.

Effect of Electromagnetic Field in Hard Metal Technique

The publications of the effect of electric, magnetic, or complex electromagnetic fields applied in addition to well-known conventional processing of WC–Co powder composites are analyzed. Two types of composite processing are considered: conduction and induction heat treatment. The basic properties of equipment used by techniques for processing the above composites are studied based on the existing equipment. The effect of some features of the structure of materials on their properties is analyzed. A special attention is paid to structure defects, such as cracks and the continuity of brittle (WC) and ductile (Co) phases. Their effect on the strength, wear resistance, elasticity, fracture toughness, and other properties of hard metals is considered in details. This study provides a number of recommendations for eliminating or minimizing the impact of defects on the structure and properties of powder composites.

Prediction of the influence of processing parameters on synthesis of Al2024-B4C composite powders in a planetary mill using an artificial neural network

AbstractIn this study, an artificial neural network approach was employed to predict the effect of B4C size, B4C content, and milling time on the particle size and particle hardness of Al2024-B4C composite powders. Al2024-B4C powder mixtures with various reinforcement weight percentages (5%, 10%, and 20% B4C), reinforcement size (49 and 5 μm), and milling times (0–10 h) were prepared by mechanical alloying process. The properties of the composite powders were analyzed using a laser particle size analyzer for the particle size and a microhardness tester for the powder microhardness. The three input parameters in the proposed artificial neural network (ANN) were the reinforcement size, reinforcement ratio, and milling time. Particle size and particle hardness of the composite powders were the outputs obtained from the proposed ANN. The mean absolute percentage error for the predicted values did not exceed 4.289% for the best prediction model. This model can be used for predicting properties of Al2024-B4C composite powders produced with different reinforcement size, reinforcement ratio, and milling times.

Synthesis and characterization of nanocrystalline Al 2024–B4C composite powders by mechanical alloying

In the present work, the effect of milling parameters on the morphology and microstructure of nanostructure Al2024–B4C composite powders obtained by mechanical alloying (MA) was studied. The effects of milling time and B4C content on the morphology, microstructure and particle size of nanostructure Al2024–B4C composite powders have been investigated. Different amounts of B4C particles (0, 5, 10 and 20 wt.%) were mixed with Al2024 powders and milled in a planetary ball mill for 30, 60, 120, 300, 420 and 600 min. Al 2024–B4C composite powders were characterized using a scanning electron microscope (SEM), laser particle-size analyzer, X-ray diffraction analysis (XRD) and the Vickers microhardness test. The results showed that the nanostructure Al2024–B4C composite powders were produced when they were milled for 600 min. The size of composite powder in the milled powder mixture was affected by the milling time and content of B4C particles. Moreover, it was observed that when MA reached a steady state, the properties of composite powders were stabilized.

Preparing of nanostructured Al2O3–TiO2–ZrO2 composite powders and plasma spraying nanostructured composite coating

Nanostructured Al2O3–TiO2–ZrO2 composite powders for plasma spraying were prepared by spray drying granulation technology. The effects of processing parameters on the microstructure and properties of composite powders were investigated. The results show that with increasing the slurry solid content, the particle size of powders increases, and the bulk density of powders increases, and the flowability of powders increases firstly and then decreases. With increasing the binder content, the particle size of powders increases, and the bulk density of powders increases, and the flowability of powders increases firstly and then decreases. With increasing the spray drying temperature, the particle size of powders increases, and the bulk density and flowability of powders increases firstly and then decreases. The most appropriate spray drying parameters are the slurry solid content of 40 wt.%, the binder content of 2.0 wt.% and the spray drying temperature of 250 °C. The nanostructured composite coating was successfully prepared by using the as-prepared nanostructured Al2O3–TiO2–ZrO2 composite powders as feedstocks. The nanostructured coating possessed higher hardness and toughness compared with the conventional microstructured one, which was attributed to the use of the nanostructured composite powders feedstocks.

Modeling the influence of a process control agent on the properties of metal matrix composite powders using artificial neural networks

An artificial neural network (ANN) model was developed for modeling the effect of the amount of a process control agent (PCA) on the apparent density, particle size and microhardness of Al–10wt.%Al2O3 composite powders. Methanol was used as the process control agent in varying amounts of 1, 2, and 3wt.% to investigate the effect of the PCA on the properties of the composite powders. Composite powders were fabricated using high energy planetary ball milling, and the training data for the ANN were collected from experimental results. After the training process, the experimental data were used to verify the accuracy of the system. The properties of the composite powders were analyzed using a hall flowmeter for the apparent density, a laser particle size analyzer for the particle size, a microhardness tester for the powder microhardness and a scanning electron microscopy (SEM) for the powder morphology. The two input parameters in the proposed ANN were the amount of methanol and duration of the milling process. Apparent density, particle size and microhardness of the composite powders were the outputs obtained from the proposed ANN. As a result of this study the ANN was found to be successful for predicting the apparent density, particle size and microhardness of Al–Al2O3 composite powders. The mean absolute percentage error (MAPE) for the predicted values didn't exceed 4.93%. This model can be used for predicting Al–Al2O3 composite powder properties produced with different amounts of methanol and using different milling times.

Properties of composite magnetic abrasive powders with surfactants

Magnetic abrasive powders produced by mechanical mixing of abrasives (electrocorundum, silicon and vanadium carbides) and iron powders in the presence of surfactants (oleic acid) and binding organics (epoxy resin) are proposed. The content of surfactants and binding organics does not exceed 8–10%. The dependence of the magnetic properties of composite powder on its abrasive content is studied. The effect of the type of abrasive on the cutting ability of the magnetic abrasive material and on the surface roughness is determined. The roughness (Ra) reached on steel 45 (HRC = 44–46) with the use of Fe–50% SiC abrasive is 0.08–0.12 μm.

単分散微粒子を用いた複合粉体の付着特性および光学特性の解析と応用

単分散微粒子を用いた複合粉体の付着特性および光学特性の解析と応用

Contact interaction, structure, and properties of W(Mo, Cr)-Cu composites with additives

The results of research on the effect of additives on the adhesive characteristics and phase-boundary formation in W(Mo, Cr)-Cu systems are summarized. The distinctive features of structure formation and the properties of powder composites compacted in the presence of a liquid phase have been studied. Composites with optimal properties (high-temperature hardness, electrical conductivity, high adhesiveness, and stable structure) have been identified.