Engineering Journal

Thursday, October 7, 2021

Machine Learning in Material Characterization

Machine learning has shown great potential applications in material science. It is widely used in material design, corrosion detection, material screening, new material discovery, and other fields of materials science. The majority of ML approaches in materials science is based on artificial neural networks ANNs . The use of ML and related techniques for materials design, development, and characterization has matured to a main stream field. This paper focuses on the applications of machine learning strategies for material characterization.

by Matthew N. O. Sadiku | Guddi K. Suman | Sarhan M. Musa "Machine Learning in Material Characterization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd46392.pdf

Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/46392/machine-learning-in-material-characterization/matthew-n-o-sadiku

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Tuesday, October 5, 2021

Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid 19 Pandemic Crisis

The opinion of disease is important for Covid 19 as the antigen kit and RTPCR are unperfect and should be better for diagnosing such disease. Real Time Return Transcription real time converse transcription - polymerase chain . Healthcare practices include the collection of various sorts of patient data to help the physician diagnose the patients health. These data could be simple symptoms, first diagnosis by a doctor, or an in depth laboratory test. These data are therefore used for analyses only by a doctor, who subsequently uses his particular medical skills to found the ailment. In order to classify Covid 19 disease datasets such mild, middle and severe diseases, the proposed model utilizes the notion of controlled machine education and GWO optimization to regulate if the patient is affecting or not. An efficiency analysis is calculated and compared of disease data for both algorithms. The results of the simulations illustrate the effective nature and complexity of the data set for the grading techniques. Compared to SVM, the suggested model provides 7.8 percent improved prediction accuracy. The prediction accuracy is 8 better than the SVM. This results in an F1 score of 2 percent better than an SVM forecast.

by Swati Shilpi | Dr. Damodar Prasad Tiwari "Health Risk Prediction Using Support Vector Machine with Gray Wolf Optimization in Covid-19 Pandemic Crisis"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd46400.pdf

Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/46400/health-risk-prediction-using-support-vector-machine-with-gray-wolf-optimization-in-covid19-pandemic-crisis/swati-shilpi

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Study on Minimum Quantity Lubricant Conditions to Improve the Surface Roughness in Hard Turning of SKD 61 Alloy Steel

In this research, Taguchi method was applied to find the optimal values of minimum quantity lubricant MQL condition in hard turning of SKD 61 with consideration of reduced surface roughness. The performance characteristics of MQL parameters cutting fluid type, pressure and fluid flow were studied by using a L9 array, the signal to noise ratios and analysis of variance ANOVA . In result of the present study, the lubricant and the pressure of MQL condition are the most influential factors which give statistic significant effect on machined surfaces. In addition, the optimal condition of the MQL mode to reduce the roughness was also presented.

by The-Vinh Do "Study on Minimum Quantity Lubricant Conditions to Improve the Surface Roughness in Hard Turning of SKD 61 Alloy Steel"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd46369.pdf

Paper URL : https://www.ijtsrd.com/engineering/mechanical-engineering/46369/study-on-minimum-quantity-lubricant-conditions-to-improve-the-surface-roughness-in-hard-turning-of-skd-61-alloy-steel/thevinh-do

internationaljournalsofcomputerscience, callforpapercomputerscience, ugcapprovedjournalsforcomputerscience

Monday, October 4, 2021

DCM Based Bridgeless PFC Converter for EV Charging Application

An Embedded system is a controller programmed and controlled by a Real Time Operating System RTOS with a dedicated function within a larger mechanical or electrical system, often with Real Time computing constraints. Embedded systems control many devices in common use today. The project aims to design an air, water, and noise pollution monitoring and controlling using internet of things. The level of pollution has increased with times by lot of factors like the increase in population, increased vehicle use, industrialization and urbanization which results in harmful effects on human wellbeing by directly affecting health of population exposed to it. In order to monitor quality of air, water quality and sound level of the environment over IoT based new framework is proposed which is based on data acquisition, transmission and controlling. The proposed bridgeless converter precedes a flyback converter to manage the charging of 48V 100Ah battery throughout the constant current CC constant voltage CV profile as well as built in PFC capability at the mains side is inherited. An 850W prototype is designed and developed tosupport the enhanced performance of the battery charger by reconstructing the line current waveform and significantly reducing the input harmonics distortion to the recommended IEC 61000 3 2 standard.

by P. Selvan | P. Selvan | V. Navanitha Krishnan | B. Pavunraj | K. Sureshkumar "DCM-Based Bridgeless PFC Converter for EV Charging Application"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd39922.pdf

Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/39922/dcmbased-bridgeless-pfc-converter-for-ev-charging-application/p-selvan

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Analysis and Design of Electrical Transmission Tower Using STAAD Pro V8i Software for Seismic Zone 3

A transmission tower is a space truss and is an indeterminate structure. Increasing demand for electricity can be made more economical by developing different light weight configuration of transmission line tower. Literature survey revealed that comparative study of different types of tower. In all of the previous work Steel Transmission tower is considered but none of them defined the variation caused due to Different Type of Pylon using different Software for Seismic Zone III. Present study reports the design and analysis of steel transmission line towers performed static and dynamic assessment of transmission line tower. The investigation and displaying of tower is executed the utilization of FE based absolutely STAAD Pro software. Effect of wind and earthquake loads was studied and the results so obtained were compared for wind zones III for four legged tower.

by Aditya Shrivastava | Prof. Afzal Khan "Analysis & Design of Electrical Transmission Tower Using STAAD Pro V8i Software for Seismic Zone 3"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd46386.pdf

Paper URL : https://www.ijtsrd.com/engineering/civil-engineering/46386/analysis-and-design-of-electrical-transmission-tower-using-staad-pro-v8i-software-for-seismic-zone-3/aditya-shrivastava

callforpaperlifesciences, lifesciencesjournal, researchpapers

Sunday, October 3, 2021

An Trial Investigation on Fibre Reinforced Concrete Using Throw Away Polymer Fibre

The increasing amount of waste material from industry is a about reality that has began the sustainability complications of the environment and ecology of earth surface. The production of fibre within the industry accounts for the worldwide warming by releasing the CO2 and other harmful gases within the atmosphere during its manufacturing. It additionally method waste on the time of producing and the use of at the field. Therefore, formulation of concrete with industrial waste can help in minimizing the environmental and ecological problems. In this look at fibre waste polypropylene fibre become used as an extra cloth of cement concrete. Polypropylene fiber PPF is a artificial hydrocarbon polymer which become introduced to beautify the power of the concrete i.e. compressive and split tensile strength. In this study, we prepared number of specimens by varying percentage of commercial waste polypropylene fiber i. e. 0 , 0.25 , 0.5 , 0.75 and 1.00 . The density of Fibre ferroconcrete FRC was tested immediately after preparing the concrete mix whereas the compressive strength and therefore the split lastingness of the Fibre ferroconcrete FRC were tested after 7 and 28 days of curing. Results indicate that the density of fresh Fibre Reinforced Concrete FRC slightly or negligibly decreases from 2397 kg cm3 to 2393 kg cm3 with the addition of polypropylene fiber. The addition of waste polypropylene fiber increases the strength of Fibre ferroconcrete FRC for all curing ages up to a particular point. After that, there may be an abrupt discount within side the electricity of the Fibre Reinforced Concrete FRC . The addition of 0.5 polypropylene fiber is suggested for the maximum strength with minimum coefficient of brittleness. The addition of 0.5 waste polypropylene fibre increase the compressive strength around 10 and 17 split tensile strength of the Fibre Reinforced Concrete FRC .

by Dilip Gupta | Dr. Anil Kumar Saxena "An Trial Investigation on Fibre Reinforced Concrete Using Throw Away Polymer Fibre"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021,

URL: https://www.ijtsrd.com/papers/ijtsrd46366.pdf

Paper URL : https://www.ijtsrd.com/engineering/civil-engineering/46366/an-trial-investigation-on-fibre-reinforced-concrete-using-throw-away-polymer-fibre/dilip-gupta

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Analysis and Implementation of Power Quality Enhancement Techniques Using Custom Power Devices

Traditional power production has become challenging for utilities due to the depletion of fossil fuels, coal, and oil. This must be done in a less expensive and more efficient manner. To meet the consumers power needs, a new source is needed. The alternative source should be sustainable and capable of fulfilling the needs of the customer. The incorporation of renewable energy into the grid is a helpful method of meeting demand. The integration of renewable energy has three main challenges frequency fluctuation, power quality issues, and power system instability. The following issues were critical in nature. An expert system based on an analytic hierarchy method is used to detect and classify power quality issues. Previously, it could detect sag, swell, transients, harmonics, interruptions, and flickers. A method for categorizing events that is error free has been proposed. The streamlined process provides for more accurate identification and classification of power quality issues. an examination of power quality issues and their mitigation via the use of unified power quality conditioners UPQC To reduce different power quality problems, an Adaptive Neuro Fuzzy Inference System ANFIS is employed. Using renewable energy sources effectively reduces environmental impact. The proposed technique corrects voltage imbalances and reduces overall harmonic distortion at the point of common connection PCC . The installation of an ANFIS controlled DVR is utilized to minimize voltage fluctuations induced by the integration of renewable energy sources and transmission line failures. With the aim of using renewable energy, a fake fault was introduced to power quality events. The ANFIS controlled DVR plan is in place to mitigate the negative impacts of power quality events. ANFIS controlled DVR is compared to a conventional surveillance method. Nonlinear loads generate voltage flickers and total harmonic distortion, therefore a distributed static compensator D STATCOM is employed to avoid these. It is recommended that D STATCOM use three control methods instantaneous power theory, synchronous vector PI control, and harmonic elimination. The D efficacy of STATCOMs is tested under severe load conditions. Various control methods will be used to evaluate and debate the proposed expert system and customized power devices.