Assessment of the mechanical performance of internally-defected components or struc-tures is of crucial importance to many industrial fields such as aerospace, automobile, marine, construction etc. ...Most of the studies available in the literature include only analytical or numerical solutions, due to difficulty in the manufacturing of a testing sample with a specific internal defect geometry for experimental evaluations. In this study, Fusion Deposition Modeling (FDM) was utilized in the 3D-printing of Polylactic Acid (PLA) samples with internal cracks, aiming to assess their impact on the samples’ mechanical performance. The defect geometry, orientation, location along the sample gauge length and the influence of the process parameters, such as the infill percentage and the material color, were investigated. The influence of the internal defects is more pronounced for a 100% infill rate if compared with a 50% infill rate as a consequence of the porosity. A maximum drop of ~14% in the peak load of defect-free samples was recorded due to the presence of the internal defect. Moreover, the additive color to the PLA material might contribute to the material strength. Generally, the findings of this work could open another door for utilizing the additive manufacturing in many research areas, with potential industrial applications relevant to the assessment of internally-defected materials.
Due to their high latent heat content, phase change materials (PCMs) have gained an increasing use for thermal storage and temperature control in many engineering applications including buildings ...envelop. In this paper, a numerical study of a PCM integrated multilayer light weight building wall under UAE climate is examined. First, the formulation of the finite-volume numerical method as applied to heat conduction in the wall assembly under convective and radiative boundary conditions is presented. Then, the effects of integrating PCMs in reducing the cooling load by peak shifting and magnitude reduction are highlighted. The results showed that under UAE's summer climate, the peak could be shifted by three hours and reduced by 5.2 W/m 2 .
The application of Phase change materials (PCMs) in buildings' envelopes construction is considered as one of the promising methods to control the buildings heat gain/loss. In this study, the effect ...of incorporating microencapsulated phase change materials (PCMs) in reducing the thermal insulation thickness while maintaining the same energy input is investigated. Regional weather data were used and three standard thermal insulation (STI) thicknesses of 16, 11 and 6 cm were considered. The results have shown that a 0.5% PCM loading can reduce the STI thicknesses by 5, 4 and 2 cm respectively.
In this paper, thermogravimetric analysis (TGA) of crude glycerol, date seeds and their blends in was performed. Blending solid biomass with crude glycerol is found in the literature to enhance the ...gasification of solid biomass and yield valuable syntheses gaseous fuels. The studied glycerol to date seeds ratios were 3:1, 1:1 and 1:3 respectively. The samples were heated from room temperature till 700°C at a ramp heating of 20°C/min in nitrogen environment supplied at 50 ml/min. The used crude glycerol was prepared from waste cooking oil. In addition, theoretical curves based on the proposed ratios were done and their results were compared to the experimental work. The main objective of this work is to study the effect of the glycerol content on the thermal degradation performance of the prepared samples. The results have shown that the crude glycerol presence in the blends has affected the TG behavior and implied some kind of chemical reaction occurring in the temperature range of 200C to 475C. Also, the theoretical curves had shown almost good agreement with the experimental ones specially at high temperature levels (475C to 700C) and indicated some kind of chemical reactions between the raw materials at lower temperature levels (200C to 475C).
The Internet of Medical Things (IoMT) is a definite IoT connecting atmosphere that contracts with communication via intelligent medical equipment. Activity detection, motion tracking, information ...extraction, consumer retrieval, etc., have all been solved due to advances in the autonomous study of human behavior from multimedia information processing. Though the IoT connecting atmosphere enables and provisions our daily actions, it too has certain disadvantages. IoTgrieves from numerous safety and confidentiality challenges, such as reiteration, impersonation, man-in-the-middle, remote hijacking, privileged-insider attack, denial of service (DoS) attacks, password guessing, and malware bouts. Hence, in this paper, Private Blockchain and Fuzzy Logic based Attack Detection system (PBFL-ADS) has been proposed for secure IoMT disease prediction using Multimedia Information Processing techniques. The proposed method utilizes Bayesian inference-based trust administration to perceived malevolent nodes in Health Smartphone Structures (HSS) for PBFL-ADS. This paper focuses on the specific form of IoMT called HSS because smartphones have been widely used in the healthcare profession. Then, blockchains have been utilized to improve Bayesian trust management's efficacy in detecting hostile nodes in HSSs. The effectiveness of the suggested technique has been assessed, and test results show that blockchain technology helps identify fraudulent nodes with an acceptable workload. The proposed PBFL-ADS method increases the HS2 scenario 1.1, processor utilization at nodes 33.5%, pattern recognition ratio 92.1%.and server utilization 40.1%.
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