Journal of Composites and Compounds
Volume:4 Issue: 12, Sep 2022

In the current study, a facile and in situ synthesis route for the preparation of mesoporous SiO2-Fe3O4 magnetic nanocomposite using iron (III) acetylacetonate via microwave-assisted solvothermal method is proposed. To char-acterize the samples, XRD, EDS, SEM, TEM, BET, and VSM were applied, and their potential applications as drug carriers, hyperthermia, and MRI contrast agents were investigated. The results confirmed that the magnetic nanocomposite could be used as a drug carrier, and its drug release rate is affected by the magnetic field. Also, the product applications as both hyperthermia and MRI contrast agent for T2 weighted images were approved.

The surface quality of the industrial samples is one of the important factors in manufacturing industry, especially in drilling processes. It is well-known that ultrasonic vibrations can help to improve surface roughness and elimi-nate the pleat in drilled holes. The use of ultrasonic waves in the machining process also increases the dimensional accuracy of the produced pieces. In this study, the effect of few parameters including rotational speed, feed speed and amplitude of the vibration on the roughness of the drilled walls in the process of drilling with the aid of ultra-sonic vibration was performed on Al/SiC composite material. Based on the experimental data, the fitness function was designed and modeled and using the genetic algorithm technique, optimal machining variables were obtained to improve the surface finish of the machined work piece. The results showed that by increasing the amplitude of the vibration and the rotational speed of the tool, a smoother surface can be achieved. The results obtained from the genetic algorithm as well as the experiments showed the ability of the genetic algorithm technique to optimize the machining process of the aluminum silicon carbide composite.

Nickel foam is a shallow density metal part with very high electrical and thermal conductivity. On the other hand, porous metal materials are a good choice for work in energy storage devices as a current collector. Generally, nickel foam is used widely for this application due to its remarkable features. Based on previous researches, in material selection of the electrolyte used for energy storage devices, especially for the pilot situation, aqueous electrolyte types are a good choice due to their low cost and being accessible. In this study, investigations were performed to identify and confirm the accuracy of nickel foam, such as scanning electron microscopy and X-ray energy diffraction spectroscopy for structural investigations. For studying electrochemical performance, the elec-trochemical interaction between 1 M potassium hydroxide (KOH) and 0.1 M sodium sulfate (Na2SO4), which were used as common electrolytes for energy storage application, with nickel foam as the working electrode was studied in 3 different routine studies such as CV (Cyclic Voltammetry), GCD (Galvanostatic Charge Discharge), and EIS (Electrochemical Impedance Spectroscopy) analyses. According to the results, the desired electrolyte can be selected depending on the type of application.

A mild and green protocol was developed for three-component, one pot synthesis of 3,4-dihydropyrimi-din-2(1H)-thione derivatives in a deep eutectic solvent (DES) without the use of a catalyst or any other additive. DES based on choline chloride (ChCl) and urea offered high reaction yield and was proper for a wide range of aromatic aldehydes. In addition, after 3,4-dihydropyrimidin-2(1H)-thione synthesis, DES could be easily recycled and reused five times without any obvious changes in catalytic activity. In general, the procedure offers a number of benefits, including clean reaction profile, avoiding the use of typical toxic catalysts, an easy workup procedure, short reaction times, and low prices.

Graphene-based oxide nanocomposite materials have been commonly used in various optical applications due to their novel features. In this study, zinc tungstate /graphene-oxide composite nanoparticles (ZnWO4/GO CNPs) were synthesized by a simple chemical process combined with co-precipitation method in two step and their structural and optical properties were investigated. Results from EDX verified the presence of associated elements in the structure. The morphology, particle size and structural parameters were also studied and reported. The prepared composite was in monoclinic wolframite crystalline phase with spherical uniformly morphology and average particle size of 299 nm. Under UV and alpha ray irradiation, the prepared ZnWO4/GO CNPs showed blue-green emissions and strong scintillation sensitivity respectively at room temperature. The results showed that ZnWO4/GO CNPs can be a suitable candidate for a wide range of applications in optoelectronic devices and ionizing ray sensors.

With the rise in the use of composite materials for product design, research has been performed in determining the optimal way to produce materials for given desired outputs. As of now response surface methodology and the Taguchi method are the front-running methods for optimizing material production methods at the design level. This research investigates why these methods are not a one size fits all solution to optimizing composite materials production for material properties. It proposes utilizing predictive modeling and non-linear optimization techniques from historical manufacturing data of a non-highly controlled manufacturing process. The method is examined with the manufacturing and testing data of a local concrete product manufacturer. The models and optimization methods are validated with residual values to the true data and sensitivity analysis of the problem. The initial testing of the method offers promise to companies who have not found Taguchi or surface response methodology, applicable to their specific business solutions.