Biomaterial Strategies for Immune System Enhancement and Tissue Healing
Qualitative and Quantitative Performance Optimization of Simple Gas Turbine Power Plant using Three Different Types of Fuel
Efficient Shopping: RFID-Powered Cart with Automated Billing System
Medical Drone System for Automated External Defibrillator Shock Delivery for Cardiac Arrest Patients
A Critical Review on Biodiesel Production, Process Parameters, Properties, Comparison and Challenges
Review on Deep Learning Based Image Segmentation for Brain Tumor Detection
Chemistry and Chemical Engineering: Approaches, Observations, and Outlooks
Integration of PMS Software and Decision Matrix Tool Based on Data Acquired from Latest IT Advanced Sensors and 3D CAD Models in Marine Operations Field
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Dynamic Changes in Mangrove Forest and Lu/Lc Variation Analysis over Indian Sundarban Delta in West Bengal (India) Using Multi-Temporal Satellite Data
The Impacts of Climate Change on Water Resources in Hilly Areas of Nepal
An Analysis of Machining Forces On Graphite/Epoxy, Glass/Epoxy and Kevlar/Epoxy Composites Using a Neural Network Approach
Deformation Behaviour of Fe-0.8%C-1.0%Si-0.8%Cu Sintered P/M Steel during Powder Preform Forging
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
Achieving Manufacturing Excelence by Applying LSSF Model – A Lean Six Sigma Framework
Design and Analysis of Piezo- Driven Valve-Less Micropump
Multi-effect desalination (MED) is one of the promising technology due to the fact that it is used, in particular, in large scale desalination plants. On the other hand, significant and rapid developments have taken place recently in the multi-effect thermal vapor compression (MED- TVC). This study considers a MED-TVC at Zawia in Libya with 4 installations of 80,000 m3/day. The main purpose of the present paper is developing steady state thermodynamic model of this installed plant. A detailed parametric study of the performance of the system has been carried out. The model is implemented by Visual Studio to simulate and evaluate the system performance. The validity of the model is examined and compared with real data of the plant. Good results between real finding and the model are obtained. The results indicate that there are various impacts of the basic process variables on the efficiency parameters. The obtained results show that the top brine temperature (TBT) has a significant effect on the energetic performance parameters. Gained output ratio (GOR), performance ratio (PR), distilled mass flow rate (md), and specific total surface area (At) are decreasing as TBT increases. But specific heat consumption (Qs) and entrained ratio (Ra) are increasing as a result of increasing TBT. The study shows that thermal vapor compression (TVC) plays a significant role on enhancing the values of performance ratio (PR) and hence the GOR over the stand-alone MED system. Other input performance variables give various influences on out coming efficiency parameters.
EMF radiation and plastic pollution are very common issues across the globe that needs to be addressed as a concern. As technology progresses, an immediate increase in typical pollutants are spread as global pollution. Parallel researchers propose various types of anti-radiation materials to promote better shields as well as controlling plastic waste through recycling. In this article, we propose a shield filling material produced from plastic waste composites and Copper Bismuth Oxide mixtures. Our study demonstrates that the critical mixture formulation enables electromagnetic field (EMF) shielding materials. The plastic waste is preprocessed and turns into plastic flakes and is converted into solution by hydrolysis. The low volatile solution reacted with the Copper Bismuth Oxide mixture and undergoes a chemical reaction to form a shielding material that serves as a thick and flexible sheet. The tough and tensile EMF shield material was tested for physical and mechanical properties used for various applications. Radiation attenuation properties were measured by X-ray and Gamma radiation for composite mixed metal elements CuBi2O4 composed with different ratios added to the plastic waste solution. According to this study, 30-50% of shield fillers mixed with plastic waste could produce an efficient EMF shield.
The nanocomposites demonstrated better mechanical, thermal and physical properties because the nanosize fillers (nanotubes, graphene ribbons, metallic and nonmetallic nanoparticles, and nanofibers and nanofilms) embedded in a matrix material (polymers, metals, alloys, glass, ceramics) have a large specific surface area, which leads to a considerably extended volume of interphase boundaries between the filler and matrix. Carbon nanotubes (CNTs) are considered as durable and lightweight fillers for nanocomposites. Recently, the carbon nanotubes (CNTs) doped with some elements have widely attracted the attention of researchers due to their functional properties. The purpose of this study is development of model to predict effective thermal and electrical conductivities of dielectric matrix with embedded ferromagnetic atom cluster doped carbon nanoparticles (CNPs). The Wiedemann-Franz law has been used to relate the thermal and electrical conductivities of the conducting composite. The predicted values of the electrical resistivity are in a qualitatively good agreement with the experimental data.
Nowadays, to keep pace with requirements of smart instrumentation of various sectors and reduce the design time, the use of programmable system on-chip is the best solution. Moreover, use of mixed signal array based PSoC would be most suitable to design an embedded system with more preciseness. In present paper, the details regarding hardware and software co-design for embedded system, which is dedicated for detection and measurement of CO2 gas are discussed. CO2 sensor is prepared using polycrystalline ferrite material and deployed for detection. The system is designed with mixed signal based Cypress PSoC device CY8C29466-24PXI with PSoC Designer 5.1 as IDE. The high input impedance of on-chip PGA supports direct interfacing of CO2 gas sensor, whereas on-chip ADC ensures the preciseness in the data. The system is implemented to detect the presence of CO2 and could be extended to measure the concentration of CO2 gas in percentage unit.
The COVID-19 pandemic, which originated in the city of Wuhan, China, has rapidly spread to various countries, and numerous cases have been reported worldwide. The outburst of coronavirus disease brought physical, economic and social life to a standstill. Approximately 32.4 million cases of coronavirus were reported in 2021, of which India has recorded 0.434 million deaths as on August 22, 2021. The virus is transmitted by inhalation or contact with infected droplets having incubation period from 2 to 14 days. The symptoms are typically fever, fatigue, sore throat, cough, shortness of breath, malaise among others. Overall, COVID-19 pandemic had a massive impact on the distinct sectors. Hence, in this paper the focus is on evaluating the impact of COVID-19 on distinct sectors, such as banking, health, economy, education, social, gold industries, IT industries, oil industries, manufacturing industries, and hotel and tourism sector.
