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
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
A Series of Tool-Life Studies on Aluminium Matrix Hybrid Composites
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
Two parameters might affect the thermodynamic performance of Reverse Osmosis (RO) desalination plants, those are the recovery ratio and feed water salinity. Exergy analysis is performed to determine the effect of those parameters on the thermodynamic performance of a reverse osmosis desalination unit. Irreversibility, effectiveness, and specific energy consumption are obtained at different recovery ratios and salinities. The results of the developed thermodynamic model of the present work are validated against the obtained results from the literature, where the effectiveness and the contributions of the membrane, high-pressure valves, friction, and the other components to total irreversibility are compared. The results show that the contribution of the high valve and membranes to total irreversibility depends strongly on the recovery ratio. The contribution of other components to total irreversibility is a minor one. The effect of source salinity on the percentage of the recovered exergy is not substantial, for instance, it is found that 7.96% and 6.88% of the destroyed exergy can be recovered, at salinities of 1000 ppm and 5000 ppm, repectively. The analysis shows that using the Pelton wheel to recover part of the destroyed exergy is only reasonable at low and moderate recovery ratio. For instance, the input power decreases by 7% and 60% for recovery ratio of 0.9 and 0.1, respectively.
Magnetic Abrasive Finishing (MAF) is one among the unconventional finishing methods, wherein the workpiece is placed between two magnets, and the operating gap and the magnetic flux is between the two magnets control the cutting force. Surface is finished by eradicating the material in the form of microchips by abrasive particles in the prevalence of magnetic field. The material is detached in such a way that surface finishing and deburring are performed at the same time with the functional magnetic field in the finishing zone. MAF setup is designed for internal finishing of Leaded Tin Bronze (SAE 660) cylindrical work pieces and it is mounted on lathe machine. The sintered powder is prepared for experimentation by compacting of magnetic powder (Fe powder of 300 mesh size), and abrasive powder (Al O of 300 2 3 mesh size). In order to analyze the outcomes of operating gap and rotating speed on material exclusion, surface finish changes and ΔRa %, a sequence of trials were performed using in-house manufactured MAF setup. On the basis of results obtained, in general, the method generated best results at Rotational Speed of 146 rpm, Magnetic flux of 0.2 Tesla, weight of Abrasive particles of 15 grams, and Surface finishing time of 20 minutes.
In modern years, numerous occurrences of air pollution proceedings in India have periodically caused terror and an important issue of discussion by pollution specialists of government and non-government organization or institutes. It may cause both long and short-term impacts on the environment and human health. Therefore, Canadian Environmental division proposed a new term, Air Quality Health Index (AQHI) to measure the air quality status, based on health effects. In the present study, Noamundi mining area has been considered to study the Air Quality Health status as it is an active mines area. The PM10 (Particulate Matter), PM2.5, SO2 (Sulphur Dioxide), and NOx (Nitrogen Oxides) have been used as main air pollutants for the analysis. Normally, the results of AQHI varied in between 1 to 10, but it may be rarely higher above 10 through critical or very high pollution episodes like smoke. The higher pollution is observed at western to south-western part of the study area (Average: 6-10). Somewhere in south-western part of the study area, it needs the limit of critical pollution level (above 10). The north-western, North-eastern part of the study area reflects the low level of health risk (within 3) and south-eastern part of the study area registered the moderate level (health risk 6). From the Exceedence Factor (EF) analysis, it is concluded that the PM2.5 and PM10 are the main reasons for higher health risk at south-western part as it falls in the core zone of the mining.
This is an experimental study to investigate the mechanical and microstructure aspects of Friction Stir Welded (FSW) butt joint. From previous studies, it is found that friction stir welding parameters such as Tool rotation and Tool pin profile significantly affect the mechanical and metallurgical properties of the welded joints. The joints were welded using AA2014 aluminum alloy plates of 5 mm thickness with High carbon steel tool using different pin shapes. Two shapes, i.e. straight cylindrical pin and tapered pin were used to join the plates at tool rotation of 1200 rpm. Tensile properties of the welded joints were investigated using universal testing machine. Both the joints demonstrated good yield and ultimate strength. It was found that the cylindrical pin has better tensile strength as compared with tapered pin profile. It may be concluded that the strength of the weld is directly proportional to the surface area of the pin profile. Improvement in hardness of stirred zone is noticed due to smaller grain size in both the joints. Some specimens of the weld failed in the regions corresponding to heat affected area and some failed in the welded area.
The effect of heat source/sink on free-convective mass transfer flow past an accelerated infinite vertical plate in the presence of transverse magnetic field is investigated. Laplace transformation technique is used to find the exact solution of the problem. The profile of temperature, concentration, and velocity are shown graphically for magnetic field parameter, Prandlt number, Heat source/sink parameter, Thermal Grashof number, Mass Grashof number, and Schmidt number. Variations of Skin-friction, Nusselt number, and Sherwood number are also discussed with the help of graphs. It is shown that velocity of the fluid increases with increase value of Schmidt number and magnetic field parameter. Velocity of fluid decreases with increasing time, heat source/sink parameter, thermal Grashof number, mass Grashof number, and Prandlt number. It is also shown that mass diffusion increases the species concentration. Further, the study concludes that the skin friction coefficient decreases with increased heat source/sink parameter.
Aluminium has contributed very significantly in its development as a versatile metal. Because of unique characteristics, aluminium has substituted much older and established materials like wood, copper, iron, and steel. On volumetric basis, more aluminium is consumed than all other non-ferrous metals including copper and its alloys as well as lead, tin, and zinc. Aluminium has achieved this position in spite of the fact that its commercial production began only towards the end of the 19th century, and thus aluminium was a latecomer to the industry. The present work mainly focuses on the mechanical strength of the alloy Al7068 with Mg% and Zn% variation in composition. The compression behaviour and hardness of the aluminium alloy Al7068 by varying the Magnesium and Zinc composition was studied in this research work. Compression behaviour and hardness of the material are studied for Mg variation (2.2 to 3%) and Zn variation (7.3 to 8.3%) individually. These specimens were first machined to ASTM standard size and then the experiment was conducted for the required parameters. The results show that low strain was obtained for the Mg composition of 2.5% and Zn composition of 7.6%, whereas the highest hardness of the material was achieved at 3% Mg and 8% Zn compositions.
Robotics and automation was considered unsuitable for the construction site due to uniqueness of construction projects, their dynamic nature, and aggressive environmental conditions at site. However, shortage of skilled labour and their high costs and the need to ensure quality, safety along with fast track constructions has made entry of robotics and automation into construction sites, which is an inevitable fact. Also increased awareness of artificial intelligence technology, use of lasers and sensors in making robotics and automation are more user-friendly even in construction sites. In this study, the available literature on automation and robotics developed for the construction industry is analysed.
In recent days, technology is being an integral part of everyday life and artificial Intelligence becomes a part and parcel of both manufacturing and service systems. Today, researches on autonomous vehicles have been greatly improved. Currently, there is a need for a paper that presents a holistic literature survey of artificially intelligent autonomous vehicles. This paper presents holistic views of an artificially intelligent vehicle, the different methods adopted like a neural network, fuzzy logic, the different components, their advantages and disadvantages, etc. Also, the various sensors and map building are explained which makes an autonomous car more robust. Incorporation of machine learning and fuzzy - neural vehicle systems control have been explained in detail in this paper.