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
The aim of this article is to investigate the effects of Hall current on radiating unsteady hydro-magnetic free convective flow of an electrically conducting, viscous, incompressible fluid past an impulsively moving vertical porous plate in the presence of Newtonian surface heating. The dimensionless governing system of partial differential equations has been solved numerically by employing Ritz FEM. The influence of embedded parameters such as radiation parameter, Newtonian heating parameter, magnetic parameter, Hall current, thermal Grash of number, permeability parameter, Prandtl number, and time on the primary velocity, secondary velocity and temperature is plotted graphically. In addition to this, results of primary and secondary skin frictions computed numerically are presented in tables and then discussed. The results of this study are in agreement with studies reported in the literature.
Data acquisition in Marine, Subsea, Oil & gas exploration field is very critical and need to implement latest Information technologies like Wireless sensor Networks (WSN) and use the data in building CAD models and developing mooring analysis software for better design of offshore facilities, better productivity, and safe operation. Prediction of weather and relevant data to manage oil & gas exploration assets, processing units safely. For the incident free operation of drilling rigs, Central processing platforms, Floating production storage offloading vessels, and other marine vessels, need to moor them safely to avoid any failures to the costly assets. This research study elaborates and finds the solutions and develops low cost mooring analysis software. During the development work for the buoy solutions, the availability of the entire system has been studied extensively and configured as a metocean buoy and developed low cost mooring analysis program. This research presents a detailed review of some related projects, systems, techniques, suitable buoy design, and mooring analysis software. The author is experienced in 3D modelling CAD software, such as: Aveva Tribon- 3D, Cadmatic-3D, Ship constructor, DNV-Nauticus, Ansys, Autocad, Orcaflex, Ariane-3D, and Proteus 3D.
Predictive Data mining is a major technique, which is supported by Machine Learning (ML) and is the most important criteria for any kind of ML applications. The datasets instances used by ML algorithms are represented by using the similar group of characteristics. The characteristics might be continuous, categorical or binary. If the known labels are given to instances such kind of learning is called as supervised, similarly where the instances are not provided with labels then we call it as unsupervised learning. The main motto of supervised learning is that creating a concise model for the class labels distribution regarding predictor characteristics. During this a classifier, which is produced will map a class label to examine the instances of known values of the predictor features where a value of class label is unknown. The term Classification refers to the method of forecasting the same data based on the categorical target value or a categorical class variable. This might be purposeful for any form of statistical data. The paradigms are most useful for the image classification, techniques of data mining, Predictive modeling and so on. Hence many techniques were developed on the basis of Artificial Intelligence (Logic-based techniques, Perceptron-based techniques) and Statistics (Bayesian Networks, Instance-based techniques). This paper describes about the major kinds of ML algorithms along with an experimental study and its applications. The future scope of Machine Learning and its importance in different research domains are also mentioned.
Due to advancement in the properties of semiconductor devices, they are widely used in home appliances as well as in industrial applications. The nonlinear property of these devices causes different power quality issues. Harmonic is one of the major power quality issue. To eliminate these harmonics, various technologies have been developed including passive filters, zigzag transformers, active filters etc. Active filters can be used in different configurations such as series active filters, shunt active filters etc. In this work, shunt active power filter has been used to eliminate the harmonics from the system and is based on the instantaneous active and reactive power theory. Pulse width modulation (PWM) current control technique has been used to generate pulses for voltage source converter. PI controller is used to regulate the dc voltage. To obtain the accurate output result, tuning of PI controller parameters (proportionality constant K , integral p constant K) is required. Fractional PI controller has been studied in this paper and its performance has been compared i with the performance of conventional PI controller. The use of fractional order PI controller increases with the passage of time because its performance is better than the conventional PI controllers. It contains one more constant term, called as fractional constant along with proportionality constant and integral constant for the tuning which provides accurate result.
The purpose of this study is to numerically simulate the method in real-time settings with Finite Element Method (FEM) specific computer code. Three input factors (depth of cut, cutting speed and experimental temp) and two reactions (stress and strain) are chosen for the simulation work. The Design of experiments (DOE) technique, Taguchi is used to make connections between factors and reactions. Surface response method is used for this study using MINITAB software to apply regression modelling to develop the relationship between input parameters and output results in the form of linear model equations based on regression modelling that identifies the least or important input factors. Noise analysis is indicated to predict the effect of change of factors according to their level in order to detect the effect on product quality. From the experimental results it is found that as the depth of cut increases, the temperature generated inside the tool on the device tip also increases.
Heat pipes are relatively recent tiny device to transfer the heat with high effective thermal conductivity. They are extensively used in various applications to extract the heat and control the temperature of various electronics components. It has many advantages such as least operating and maintenance cost, accuracy, extended service life and environmentally safe. As per the global demand, size and weight of the electronics components/devices reduces day by day, which leads to the performance enhancement of heat pipes. Application of nanofluids is one of the relatively recent passive techniques for enhancing the rate of heat transfer in various heat exchanging devices. Different types of nanofluids as heat transfer medium have been employed by many investigators in various types of heat pipes. The performance of heat pipe depends on the number of parameters related to type of working liquid and operating conditions. Recently published investigations have been comprehensively reviewed and presented in the paper. Based on the study, future requirements also have been identified and presented. On the basis of review, it appears to inspect the effect of different parameters (like size, concentration, and filling ratio, angle of inclination and heat load) of nonreported nanofluids to enhance the rate of heat transfer in non-studied heat pipe. It is also found that the combination of experimental results with various techniques of simulation is the recent trend in heat pipe.
