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1732 articles for “Predicting”
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Evaluation of J-Integral and Fatigue Crack Growth Rate of Semi-elliptical Crack in Compressor Blade
Abstract: Gas turbine compressor blades are subjected to centrifugal, gas bending and vibratory loads. This repeated loading and unloading can reduce the life of compressor blades. This research aims at the estimation of fatigue crack growth rate of various three-dimensional cracks in a compressor blade considering the J-integral calculations for a semi-elliptical crack, subjected to centrifugal loading. Static stress analysis was carried out to ascertain the critical region or crack zone …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 2, 2014 · pp. 39–46 Read article
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Parametric Optimization of Tool Wear Rate in Side Flushing form of Die Sink EDM of EN-31 Die Steel
Abstract: Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes for manufacturing geometrically complex or hard material parts that are extremely difficult to machine by conventional machining process. EDM researchers have concentrated on achieving faster and more efficient metal removal rate coupled with a reduction in tool wear and improved surface characteristics. In this paper, the operating performance measures of side flushing type of electrical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 72–80 Read article
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Advanced Quantitative Analysis of Dynamic Recovery During Warm Working of FCC Alloys
Abstract: Metal working processes of warm working require an advanced quantitative analysis of dynamic and static recovery of dislocations to control microstructures and crucial shape forming properties. Feasibility of dynamic recovery by thermal glide and static recovery by climb of constricted jogs, applicable to ausforming, nano bulk forming by SPD and normalizing has been addressed to design new steels, used for hulls and tribologically superior bearings. Predictive dislocation recovery analysis shows …
Published in Journal of Materials & Metallurgical Engineering · Vol. 12, Issue 1, 2022 · pp. 1–14 Read article
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Assessment of Two Phase Turbulent Mixing Models for Subchannel Analysis Relevant to BWR
Abstract: AbstractDetermination of turbulent mixing rate of two phase flow between neighboring subchannels is an important aspect of subchannel analysis in reactor rod bundles. Various models have been developed for two phase turbulent mixing rate between subchannels. These models show that turbulent mixing rate is strongly dependent on flow regimes; their validity was examined against specific or limited experiments. It is vital to evaluate these models by comparing the predicted two …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 1, 2014 Read article
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An Approach to Mathematical Modelling of Tensile Strength of 3D Printed ABS Specimens
Abstract: In the present work the tensile properties of 3D printed Acrylonitrile Butadiene Styrene (ABS) are studied. Layer thickness, raster angle and raster width were varied. Experiments were carried out based on Taguchi’s L9 orthogonal array. Tensile strength of ABS specimens was determined from universal testing machine (UTM). Mathematical model was developed to predict the tensile strength of ABS. It is found that the predicted model has good fit with experimental …
Published in Journal of Polymer & Composites · Vol. 9, Issue 2, 2021 · pp. 1–9 Read article
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Performance of Equation-of-State for Hydrocarbon Dew Point Control in Gas Flow-line in a Nigerian Field
Abstract: Associated gas in a flow-line in a Nigerian field was suspected to be accountable for unaccounted-for gas in the flow-station. Gas molecular compositions of Low Pressure suction gas and Injection Discharge gas for operating conditions of pressure and temperature from the field were analysed by the use of Soave-Redlich Kwong and Peng-Robinson Equations of State with PVTp thermodynamic software. The phase envelope predicted the Hydrocarbon dew point(s) observable from the …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 7–13 Read article
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Thermodynamic modelling of the effects of high temperatures on brine fluid density
Abstract: Current trends in oil discoveries points to deep water zones characterized by temperatures ranging from 150oC to 350oC which needs good prediction of the fracture pressure and pore pressure hence imperative to continually understand temperature-density relationships of the fluids which are pumped downhole for well control. This paper seeks to propose a new, cost effective and easier method of estimating the reduction in density of brine completion fluid as it …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 26–35 Read article
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A Review of Semiconductor Solar PV Cell and Development of Solar Radiation Estimation Models
Abstract: Today’s life could not be imagined without energy (Power). It has become an integral part of day to day life. Traditionally, dependency was there on conventional sources of energy like coal, hydroelectric etc. But they are limited resources; also, they offer residue or pollution to the environment which is not desirable. These are the main reasons that the researchers inclined themselves towards the maximum exploration and make optimal use of …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 20–26 Read article
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Static and Dynamic performance of RCC framed structure subjected to Geometric and Material non linearity
Abstract: Extensive research in the field of construction materials has led to the manufacture of improved materials and the engineers are familiar with the properties of the materials more than ever before. This has helped to predict the behavior of the structure in its entire intended time of service. Finite element based software can now predict the structural elements that may becritical in due course of time. These analyses are tedious …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 21–26 Read article
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Development of Mathematical Model for Tool Wear Rate Using 3-Level Response Surface Methodology
Abstract: Tool wear is the progressive loss of material from the surface of tool in the form of very small metallic particles. From decade tool wear rate was used as major criteria to predict the tool life. However, tool wear rate only measures principle wear, i.e., flank wear and face wear. In order to assesses the real damage to the tool and consider other tool wear like chip, notching, primary and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Study Of Uber-Related Data Using Machine Learning
Abstract: This paper describes the operation of the machine learning algorithm used in the Uber database, which contains data generated by the Uber Movement for a few locations in Hyderabad and the big apple City. Uber is known as a peer-to-peer program. This program connects you to the nearest drivers available to take you to your destination. This database includes Uber capture data with information such as time, ride date additional …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 1–6 Read article
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Modeling and Simulation to Monitor Dissolved Nitrogen Depositions in Eleme Streams, River State
Abstract: This paper monitor the dissolved nitrogen deposition in stream, the study observed high rate of nitrogen content in the stream, the result from physiochemical analysis shows the rate and variation of nitrogen concentration, this pollution content were monitored applying modeling and simulation, the predictive values were generated from different stations, the result shows decreasing rate of dissolved nitrogen from all the stations, the results expresses in every points of observation …
Published in Journal of Water Resource Engineering and Management · Vol. 7, Issue 2, 2020 · pp. 23–37 Read article
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Flood Frequency Analysis of Big Akaki River, Awash Basin, Ethiopia
Abstract: Flood is one of the most dangerous naturally occurring catastrophic hazards now days displacing and killing people and destroying properties. During high flow, the Big Akaki River flooded the vicinity of the area and causes loss of cultivated land and life. Flood water inundates the floodplain areas and cause vast damages to life and property. The main objective of this paper is to analyze the inundation area along the Big …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 35–48 Read article
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Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
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Monsoon Flood Forecasting in Gandak River Using Discreet Wavelet Transform
Abstract: The Gandak River in North Bihar carries huge flood during the monsoon period. The daily variation in its flow during this period is so significant that conventional methods find it difficult to model the flow. In this paper, new models employing discreet wavelet transform (DWT) have been developed to forecast daily flows in a large river like Gandak. DWT decomposes the flow series into constituent wavelet components of ``approximations’’ and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 93–101 Read article
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Wind Speed Forecasting
Abstract: AbstractAs the world exhausts its non-renewable energy reservoirs, building predictive models for renewable energy dependencies comes important a fortiori. In this study we examine how well a Deep Neutral Networks performs on wind speed data in a time series forecasting. The data used are based on wind speed readings acquired at the first-of-its-kind LiDAR based offshore which is situated at the Gulf of Khambhat, Gujarat, which is about 23 km …
Published in Recent Trends in Electronics Communication Systems · Vol. 7, Issue 2, 2020 · pp. 13–17 Read article
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Age, Gender And Emotion Detection
Abstract: The main reason is the development of a method to automatically estimate the age and gender of the human face. It continues to play an important role in computer vision and pattern recognition. In addition to age determination, facial emotion recognition also plays an important role in computer vision. Nonverbal communication methods such as facial expressions, eye movements, and gestures are used in many human-computer interaction applications. Much research has …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 1, 2022 · pp. 1–6 Read article
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Minimization of distortion during Gas Metal Arc welding process used for hydraulic shearing machine pressure plate square
Abstract: The Gas Metal Arc Welding process is widely used in many appliances because of its versatility. The change of shape and dimensions that occur after welding is known as distortion that leads to undesirable results. And to overcome this, it requires reducing the distortion within the limits. A large number of resources are used recently for reworking the weld. But it causes higher cost of production and delay for completing …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 33–43 Read article
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Use of Intelligent Control Systems to Manage Traffic Effectively and Productively
Abstract: Intelligent control system is the advanced technology in which the collected data is provided to A.I. and with the help ofvarious methods like machine learning, neural networks, Bayesian probability, fuzzy logic the solution to a particularproblem is found.In a country’s growth the traffic management plays a great role as the maximum industries depends on the highways orroads and when it is well planned it can reduce the commute time and …
Published in Trends in Mechanical Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 22–27 Read article
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Multi-variable Analysis and Optimization of Electrical Discharge Machining Process Using a PCA-ANN Based Approach
Abstract: AbstractThe optimum selection of process parameters has played a crucial role in electrical discharge machining (EDM) for improving the material removal rate, reducing the tool wear rate and radial overcut. In this paper, optimum parameters while machining 202 stainless steel using copper electrode as a tool has been investigated. For optimization of process parameters along with multiple quality characteristics, principal component analysis coupled with artificial neural network method has been …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 39–45 Read article