Fractional electro-magneto transport of blood modeled with magnetic particles in cylindrical tube without singular kernel

The electro-kinetic transport of blood flow mixed with magnetic particles in the circular channel was investigated. The flow was subjected to an external electric and uniform magnetic field. The fluid was driven by pressure gradient and perpendicular magnetic field to the flow direction. Due to the usefulness and suitability of Caputo–Fabrizio fractional order derivative without singular kernel in fluid flow modeling and mass transfer phenomena, the governing equations were modeled as Caputo–Fabrizio time fractional partial differential equations and solved for a 2 ð0; 1�. The analytical solutions for the velocities of blood flow and magnetic particles were obtained by using Laplace, finite Hankel transforms and Robotnov and Hartley’s functions, respectively. Mathematica software was used to simulate the influences of fractional parameter a, Hartmann number and Reynolds number on the velocities of blood and magnetic particles. The findings are important for controlling bio-liquids in the devices used for analysis and diagnosis in biological and medical applications

The Effectiveness of Utilising the Building Information Modelling Based Tools for Safety Training and Job Hazard İdentification

The fields of architecture, engineering and construction (AEC) have kept pace with recent technological developments in design and construction. However, it is difficult to obtain information on the breadth of applications of BIM -based tools throughout the life cycle of construction projects. Hence, this study attempts to empirically identify and evaluate the applications of pre-construction tools, with a focus on safety training and workplace hazard recognition. A questionnaire in the form of a survey was used to collect data. The results show that the ten predictors account for 52.3% of the variation in BIM knowledge (F (10, 56) = 6.133, p < 0.001). It is also found that site analysis and safety instructions have no effect on the measured variable. The study represented a comprehensive blend of research to improve the use of BIM -based tools for safety training and workplace hazard identification. It also contributed to the knowledge of how to use BIM -based tools in the pre-construction phase. The development of the BIM -process flow framework for safety training and hazard identification will be the main focus of future work

Data mining of the essential causes of different types of fatal construction accidents

Accident analysis is used to discover the causes of workplace injuries and devise methods for preventing them in the future. There has been little discussion in the previous studies of the specific elements contributing to deadly construction accidents. In contrast to previous studies, this study focuses on the causes of fatal construction accidents based on management factors, unsafe site conditions, and workers' unsafe actions. The association rule mining technique identifies the hidden patterns or knowledge between the root causes of fatal construction accidents, and one hundred meaningful association rules were extracted from the two hundred and fifty-three rules generated. It was discovered that many fatal construction accidents were caused by management factors, unsafe site circumstances, and risky worker behaviors. These analyses can be used to demonstrate plausible cause-and-effect correlations, assisting in building a safer working environment in the construction sector. The study findings can be used more efficiently to design effective inspection procedures and occupational safety initiatives. Finally, the proposed method should be tested in a broader range of construction situations and scenarios to ensure that it is as accurate as possible

Evaluation of the knowledge and practices of pregnant Yemeni Women regarding teratogens

Purpose: To investigate the knowledge and practice of pregnant women with regards to teratogens.Methods: A month-long cross-sectional study was carried out among 150 pregnant women selected from four Motherhood and Child Healthcare Centers (MCHCs) in Mukalla District of Yemen. Data collection was conducted during face-to-face interviews using a questionnaire. Descriptive and simple regression analyses were used.Results: Of the 150 pregnant women who participated in the study, 95.3 % of the pregnant women were < 36 years old, 7.4 % had children with congenital malformations, 62 % indicated that they had heard about folic acid; however, only 16.6 % knew the significance of folic acid. Regarding toxoplasmosis, 94.7 % indicated that they had heard about toxoplasmosis, and 76 % knew about the serious consequences of the disease (congenital malformation and abortion) during pregnancy. Based on simple regression analysis, the results indicate that education and parity, irrespective of age or income level, were the major factors determining better knowledge and practices in pregnancy with regards to toxoplasmosis.Conclusion: Knowledge of folic acid deficiency among pregnant women in Mukalla District of Yemen is relatively low. Furthermore, preventive practices to avoid folic acid deficiency are minimal.Keywords: Knowledge, Practices, Teratogens, Pregnant Yemeni women, Folic acid deficienc

Comprehensive structural evaluation of composite materials in 3D-printed shin guards

This study introduces a novel approach to designing and fabricating lightweight football shin guards, leveraging advanced digital anatomical capture of players' shins and 3D printing techniques. Using Polyethylene terephthalate glycol (PETG) and carbon fiber (CF) composites, the 3D-printed shin guards showcased enhanced tensile, compressive, and flexural properties. Impressively, the patterned structure facilitated a 42 % weight reduction compared to its solid counterpart. Mechanical tests confirmed the consistent behavior of the printed samples, independent of their raster orientation. This consistency emphasizes the promise of expanded 3D printing utility in sports gear production. Surface and compositional evaluations were carried out using scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS), revealing a uniform fiber distribution. Notably, at 70 % and 30 % infill densities, PETG/CF met the predefined criteria; in the solid structure, its compressive strength overshadowed its tensile strength yet remained below its flexural strength. The pattern structure, particularly at 0° orientation, showed marked tensile advantages over the solid format. With the fundamental role of shin guards in preventing football injuries, this research paves the way for optimized protection, as many players presently utilize shin guards made from PETG, CF, or potent PETG/CF combinations

A comprehensive review on advancements of elastomers for engineering applications

Researchers frequently turn to the adaptable material known as elastomers for various industrial products, including soft robotics, astronautics equipment, vehicles, tissue engineering, self-healing, and constructional materials. The typical lower modulus of popular elastomers is accompanied by weak resistance to chemicals and abrasion. Most commonly, the rubbery polymers are called elastomers and may be readily expanded to lengths several times longer than they were originally. Although the polymeric chains continue to have some mobility, the cross-linkers keep them from wandering indefinitely in relation to one another. The material could become stiff, hard, and more similar in qualities to a thermoset if there were a lot of cross-links. Elastomers have inherent apparent, thermal processing, and mechanical properties, making additive manufacturing (AM) challenging. The advent of additive manufacturing, formerly known as three-dimensional (3D) printing, inspired academic and industrial researchers to combine elastomeric properties with design freedom and the potential for straightforward mass customization. Elastomers are employed in the adhesive industry because they have high adherence qualities. The elastomers may also be utilized extensively in daily applications due to their excellent adherence to various filler kinds and other characteristics. This review article explores current advancements in diverse elastomer types, 3D printing advances, functional elastomers, and applications in several sectors in the context of these developments. The discussions also include the present-day difficulties from the perspective of product development

A performance evaluation study of 3d printed nylon/glass fiber and nylon/carbon fiber composite materials

3D printed fiber reinforced composites are replacing metals and thermosetting polymers due to their lightweight structure and mechanical performance. Fused deposition modeling (FDM) is an additive manufacturing technology that can produce complicated functioning parts. Samples of Nylforce composite materials were manufactured at three different raster orientations (0°, 45°, and 90°) with the help of a 3D printer. In order to evaluate the mechanical properties of the nylon composites with carbon fibers (CF) and glass fiber (GF); 3-point flexural tests were carried out. The highest stiffness (modulus) was found for nylon + GF composite at room temperature, indicating that the material can better resist bending forces. On the other hand, the nylon + CF composite exhibited elastic behavior, lower flexural strength, and higher deflection. Overall, the flexural strength of composites was improved because the interface between the nylon matrix and fibers provided good stress transfer. Dynamic mechanical analysis (DMA) also clearly indicated that the nylon + GF composite material had maximum storage modulus, loss modulus and complex modulus with low tan δ, indicating improved fiber/matrix interfacial interaction and limitation of polymer chain mobility. Moreover, scanning electron microscope (SEM) images revealed that the main drawbacks for nylon composite material were void formation, fiber pull-out, and fiber breakage. Generally, the results of this research provide a unique knowledge base regarding the structural behaviors and the mechanical properties of nylon composites built with 3D printing technology. Finally, the findings of the current research will be beneficial in the application of these composite materials in their end-use

Investigation into the Structural, Chemical and High Mechanical Reforms in B4C with Graphene Composite Material Substitution for Potential Shielding Frame Applications

In this work, boron carbide and graphene nanoparticle composite material (B4C–G) was investigated using an experimental approach. The composite material prepared with the two-step stir casting method showed significant hardness and high melting point attributes. Scanning electron microscopy (SEM), along with energy dispersive X-ray spectroscopy (EDS) analysis, indicated 83.65%, 17.32%, and 97.00% of boron carbide + 0% graphene nanoparticles chemical compositions for the C-atom, Al-atom, and B4C in the compound studied, respectively. The physical properties of all samples’ B4C–G like density and melting point were 2.4 g/cm3 density and 2450 °C, respectively, while the grain size of B4C–G was in the range of 0.8 ± 0.2 µm. XRD, FTIR, and Raman spectroscopic analysis was also performed to investigate the chemical compositions of the B4C–G composite. The molding press composite machine was a fabrication procedure that resulted in the formation of outstanding materials by utilizing the sintering process, including heating and pressing the materials. For mechanical properties, high fracture toughness and tensile strength of B4C–G composites were analyzed according to ASTM standard designs. The detailed analysis has shown that with 6% graphene content in B4C, the composite material portrays a high strength of 134 MPa and outstanding hardness properties. Based on these findings, it is suggested that the composite materials studied exhibit novel features suitable for use in the application of shielding frames

Mechanical properties and numerical simulation of FDM 3D printed PETG/carbon composite unit structures

Carbon fibers (CFs) were used as reinforcement in developing a polyethylene terephthalate glycol (PETG)-based polymer composite using the fused deposition modeling (FDM) 3D printing technique. The influence of CF and process factors (infill percentage, layer thickness, infill pattern) were studied by measuring the prepared polymer composite's tensile, flexural, and compressive properties. The innovative work that was carried out for this study and the tests that were performed revealed that it is difficult to predict the position of the specimen break area before a test. The PETG-reinforced polymer only showed enhanced flexural and tensile strength at a layer thickness of 0.25 mm and a maximum infill percentage of 20% for a solid structural design. Compressive strength improved in reinforced PETG hexagonal and circle structures. The confirmation of the numerical modeling applied to determine the mechanical properties of PETG for FDM additive manufacturing is one of the goals suggested in this research, along with a comparison of experimental and computational data. Scanning electron microscopy examination of the fractured sample surfaces revealed various fracture mechanisms and morphologies for the materials tested. The research found that the 3D-printed composite could further expand the application of PETG as an engineering material