ACHIEVING ULTRAFINE GRAINS IN Mg AZ31B-O ALLOY BY CRYOGENIC FRICTION STIR PROCESSING AND MACHINING

This thesis presents results from the application of cryogenic cooling on multiple-pass friction stir processing and the subsequent orthogonal machining on friction stir processed and as-received Mg AZ31B-O disks, and shows their combined effects on microstructure and microhardness values. A simple friction stir tool, a specially designed fixture and liquid nitrogen are used to perform multiple-pass friction stir processing experiments on Mg AZ31B-O alloy. The friction stir processed and as-received sheets are then made into disks for the orthogonal machining experiments. This study analyzes the microhardness, microstructure changes by cryogenic friction stir processing and the effect of machining conditions such as dry, MQL and cryogenic and cutting parameters on the Mg AZ31B-O alloy. Four different speeds and three different feed rates are used for the orthogonal machining experiments. The effects of stirring parameters such as the translational feed, rotational speed, cooling conditions and the machining parameters are studied. The resulting microstructure and microhardness from these processes hold a key to the mechanical properties of the alloy. This analysis would help to understand and evaluate the specific aspects of grain size and microhardness that influence the fatigue life of a component

A REVIEW ON RASPBERRY PI BASED INDUSTRIAL PROCESS MONITORING AND CONTROL USING MODBUS PROTOCOL

In recent research work the Wireless technologies are being more and more used in automation and also in the field of wireless communications are diverse. The advancement in wireless technology offers a good opportunity in the area of communication in perfect region. When the embedded devices are provided with internet access the demand will rise due to the remote accessing capability of these devices. Users can monitor & control remote systems by using embedded Easy IOT server. Wireless based industrial automation is a prime concern in our day-to-day life. The approach to Wireless Network for Industrial Applications standardized nowadays. Intelligent and low-cost automation of industrial processes are crucial in order to improve process efficiencies, deliver quality products, and ensure timeliness and accuracy of systems .Wireless is predicted to be one of the fastest growing technologies in the area of process automation sector This paper is focused on design & implementing a secured wireless communication system of ARM embedded IOT server based on Raspberry Pi. For effective designing & implementing a system we use wireless technology. This wireless technology along with router makes the system Accessible from anywhere in the world. Various Sensors are interfaced with microcontroller. Parameters like Temperature, gas, motion, distance, humidity are measured & real time sensed data is available on the remote pc as well as on the android Smartphone. Due to the use of wireless technology we can achieve super speed transmission of large amount of data in very less time. As the overall system is based on generating of dynamic IP address every time, we can say that the system is much secured than all the previous systems. Thus Proper use of wireless sensor networks (WSNs) lowers the rate of failures, overall cost of the system, & increases the productivity, efficiency of overall industrial operations

A REVIEW PAPER ON FACTS AND OBSERVATION ON QUALITY IMPROVEMENT USING LINK ADAPTATION TECHNIQUES IN CELLULAR MOBILE NETWORKS: SPECIAL REFERENCE TO LATEST TECHNOLOGY

Remote information administrations have caught only a constrained piece of the pie in this way, because of the limitations on transmission rates. The general perception is that the future mobile communications technology will convey better quality of administration as the wired networks do now. Be that as it may, various hindrances should be handled before this could be accomplished. These issues emerge principally kom the band limiting nature of the remote link, which is to a great degree threatening because of multi-way fading. It has been all around concurred that a wealthier arrangement of QOS levels are still required for the emerging networks to successfully dispatch the upcoming applications. Subsequently, frightfully productive techniques, which could all the while meet the QOS certifications is exceedingly key. This incited for developing QOS solutions that are appropriate to meet the multifaceted prerequisites. In spite of the fact that, CDMA is the favored get to strategy, the predominant influence brought out by GSM frameworks has brought about TDMA cellular markets to catch around 75% of the remote population. These QOS components mirror the system's accessibility and transmission quality. Hence, the study concentrates on different versatile techniques by which the radio administration techniques can be better tuned to conquer the obstructions.  In this way, the remote schedulers ought to basically involve the channel condition of the client for making scheduling decisions. This unmistakably settled the requirement for the association of channel predictors with schedulers. A novel channel predictor has been introduced to empower the scheduler to take ideal decisions. Scheduling decisions absolutely in view of link conditions will have a tendency to enhance the execution without satisfying client decency. Henceforth, a link versatile scheduling plan that accomplishes a higher execution galn in terms of throughputs together with and without client reasonableness is executed in the second period of the work. The requirement for incorporating the circle delay has made ready for developing a prescient power control plot. The capacity to foresee the interference using kalman channel is the appealing component of this work. In the third stage, control and versatile modulation plans have been jointly executed to fulfill the goals. To further improve the execution, in the final stage an integrated QOS demonstrate has been recommended. This model can be realized by performing adaptation at two levels: adaptation by scheduling and adaptation by varying the transmission parameters. So, this examination contribution mainly has concentrated on enhancing quality using versatile components for different air interfaces from system viewpoint. It has been distinguished that improvement in quality and also phantom proficiency IS conceivable with the proposed solutions

INTELLIGENT WEB SERVER BASED HEALTH CARE SOLUTION SYSTEM

This paper proposes a method The IOT can bring multiple benefits to healthcare through the use of sensors, intelligent equipments, etc. The Internet of Things (IoT) is a new concept that allows users to connect various sensors and smart devices to collect real-time data from the environment. In this project our contribution is twofold. Firstly, we critically evaluate the existing literature, which discusses the effective ways to deploy IoT in the field of medical and smart health care. Secondly, we propose a new semantic model for patients’ e-Health. The program is written in the python language in the raspberry board. The different data will control the arm rotation

Deep learning based porosity prediction for additively manufactured laser powder-bed fusion parts

Machine learning techniques are extensively used to understand and predict complex non-linear phenomena across various applications. Moreover, these techniques minimize the time and costs associated with experimental and numerical analysis. In this work, a deep learning technique, specifically artificial neural networks (ANN), was employed to predict the density/porosity of laser powder-bed fusion (LPBF) additively manufactured (AM) parts by training the ANN model with X-ray computed tomography (CT) images. In addition to the experimental data, synthetic CT data was generated and used to improve the performance of the ANN model. The ANN model was then optimized for the number of hidden layers and neurons. Different errors like mean absolute error (MAE), root mean square error (RMSE), and square of co-relation coefficient (R2) were used as performance metrics to determine the accuracy and effectiveness of the network. The proposed ANN model was validated and showed excellent predictions (R2 = 0.9981, MAE = 1.6944 x 10−5). The framework proposed in this work can be used to speed-up the quality assurance of AM parts by reducing the time required for the analysis of CT data

Sliding Water Droplet on Oil Impregnated Surface and Dust Particle Mitigation

Self-cleaning of surfaces becomes challenging for energy harvesting devices because of the requirements of high optical transmittance of device surfaces. Surface texturing towards hydrophobizing can improve the self-cleaning ability of surfaces, yet lowers the optical transmittance. Introducing optical matching fluid, such as silicon oil, over the hydrophobized surface improves the optical transmittance. However, self-cleaning ability, such as dust mitigation, of the oil-impregnated hydrophobic surfaces needs to be investigated. Hence, solution crystallization of the polycarbonate surface towards creating hydrophobic texture is considered and silicon oil impregnation of the crystallized surface is explored for improved optical transmittance and self-cleaning ability. The condition for silicon oil spreading over the solution treated surface is assessed and silicon oil and water infusions on the dust particles are evaluated. The movement of the water droplet over the silicon oil-impregnated sample is examined utilizing the high-speed facility and the tracker program. The effect of oil film thickness and the tilting angle of the surface on the sliding droplet velocity is estimated for two droplet volumes. The mechanism for the dust particle mitigation from the oil film surface by the sliding water droplet is analyzed. The findings reveal that silicon oil impregnation of the crystallized sample surface improves the optical transmittance significantly. The sliding velocity of the water droplet over the thick film (~700 µm) remains higher than that of the small thickness oil film (~50 µm), which is attributed to the large interfacial resistance created between the moving droplet and the oil on the crystallized surface. The environmental dust particles can be mitigated from the oil film surface by the sliding water droplet. The droplet fluid infusion over the dust particle enables to reorient the particle inside the droplet fluid. As the dust particle settles at the trailing edge of the droplet, the sliding velocity decays on the oil-impregnated sample