ETESM-17- Emerging Trends in Engineering, Science and Manufacturing

"ETESM-17 Conference Papers "

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Crack Detection in Simply Supported Beam by Artificial Neural Network Using Bayesian Regularization Algorithm[ ]


Civil engineering structures are prone to damage and deterioration during their service period. So damage assessment plays a vital role in structural operation. This paper presents a novel approach to detect damage in a simply supported beam by Artificial Neural Network (ANN). ANN models are developed by considering first three mode natural frequency ratio as input parameters and crack depth ratio as the output parameter.

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Ship Motion in Viscous Flow under Irregular Waves[ ]


The important task of a ship designer is to develop the best possible shape of hull by considering fundamental factors like sufficient volume, adequate structural strength, ship’s hydrodynamic performance like resistance and propulsion, seakeeping and satisfactory stability. The hydrodynamic characteristics of the ship is related to the resistance encountered by the ship and it is used in estimating the required propulsive power which helps the design of the propulsion system. And Prediction of ship motion in viscous flow under irregular waves (real sea conditions) is very important for sea keeping design of ship. The present project deals with the analysis of ship hull with forward speed in viscous flow to calculate the resistance coefficients, heave and pitch motions under irregular waves. A commercial CFD software SHIPFLOW 6.1 is used for hydrodynamic analysis of ship hull in viscous flow under irregular waves and results are published.

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ADVANCE MARKETING AND ADVERTISING IMPLEMENTING CROWDSENSING[ ]


In recent years, crowdsensing is not only evolved as a new technique but also its growth affect research fields as well as in day to day life. Crowdsensing is a technique which enables to assemble a huge quantity of data by permitting an extensive variety of devices from the crowd to contribute data. These devices assist with rich sensing and advance computational facility.

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IOT BASED DISTRIBUTED ATTENDANCE SYSTEM[ ]


The main objective of this paper is to provide an overview of Internet of Things, architectures, and vital technologies and their usages in our daily life. However, this manuscript will give good comprehension for the new researchers, who want to do research in this led of Internet of Things and facilitates knowledge accumulation in e silently. Remote access is a wonderful feature that came because of high speed internet.

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A monitoring based Photovoltaic installation fault detection system for power loss optimization[ ]


With the global population swelling and industrialization on the rise in developing nations, humanity’s hunger for energy has reached unprecedented levels. Every day, our species chews its way through more than a million terajoules of energy. That’s roughly equivalent to what we would use if all 7.5 billion of us boiled 70 kettles of water an hour around the clock (according to BBC).

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DESIGN AND ANALYSIS OF PRESSURE VESSEL OF 1MeV DC ACCELERATOR[ ]


A pressure vessel is a closed container which is designed to store liquid or gas at a pressure or temperature,which is different from the ambient pressure and temperature.During operation,the pressure vessel has to withstand several induced stresses due to internal or external pressure.Thus,for the safety purpose storage vessels has to be designed according to ASME standards and rules.

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A Study of Engine Performance and Emission Characteristics of Mahua Biodiesel and Its Blends[ ]


Transport sector is the life line of Indian economy. Around 70% of total diesel consumption of the country is consumed by transport sector and its exhaust emission is a major source of air pollution. So to resolve the energy and environmental crisis, biodiesel is an alternative source of fuel which is prepared from renewable source like vegetable oil. Biodiesel from non-edible vegetable sources oil is a good option as these are plentily available in Indian forest. Mahua is one of the non-edible vegetable oil plants which are abundantly found in India and its oil content is around 35- 45%.

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An Overview of Concurrent Engineering & Virtual Manufacturing Application in Motorcycle Sprocket Production[ ]


In a conventional design and manufacturing background, the flow of data and operations are sequential. To optimize product development and manufacturing time and cost, parallelization of operations is necessary. This can be achieved by the help of Concurrent engineering and Virtual Manufacturing process. It helps in shortening the product development time, improves the quality and decreases the overall production cost.

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An Overwiew on Machining of Engineering Polymers[ ]


Engineering polymers have good mechanical properties. Price and weight of synthetic polymer products are less as compared to metallic products. Therefore, plastic is replacing to metals in various applications. For instance, acrylonitrile butadiene styrene (ABS) is used to manufacture car bumpers, dashboard trim & Lego bricks, polycarbonate is used in motorcycle helmets & polyamides (nylons) are used for skis & ski boots.

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Review on Application of Friction Stir Welding[ ]


Cast and wrought aluminum (Al) alloys, steels, along with titanium (W), copper (Cu) and magnesium (Mg) alloys, different metal cluster alloys and metal matrix amalgams. are widely used in aerospace, automotive, marine, defense, construction etc. due to their high strength, low weight, high machinability, good conductivity of heat and electricity etc. Friction stir welding is preferred for joining these materials as it is a solid state forge welding process and problems related with welding of such can be subdued through this process.

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Fault Detection of Roller Bearing Using Vibration Analysis[ ]


The rolling element bearings are commonly used in rotating machinery, it mostly covers a broad range of rotating machinery and plays a significant role in industrial applications which is considered as a most critical element. If loads are moved in relative motion in between machine surfaces, then the action can simplify in an effective manner when rolling elements are interrupted between the sliding members. The bearing contains four mechanical components: an inner race, an outer race, rollers or balls, the groove that holds the balls. Ball bearings have limited load carrying capacity and smaller in sizes but it can support both axial and radial loads.

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Thermo-Hydraulic performance of internal finned annular tube heat exchangers[ ]


Numerical investigation conducted to determine wall temperature distribution along axial direction, outlet temperature, Nusselt number, convective heat transfer coefficient and friction factor for a turbulent flow through annular duct by solving conservation equations of mass, momentum, energy and turbulent equation us-ing Fluent 14. A constant heat flux 3000w/m2 was applied at the outer wall of the tube whereas the inner wall was considered as adiabatic.

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Static stability of a Rotating Symmetric Sandwich beam subjected to axial pulsating load[ ]


The static stability of a rotating symmetric sandwich beam subjected to axial pulsating load is studied under two different boundary condi-tions. The non dimensional equation of motion and boundary conditions are derived using Hamilton’s principle. A set of Hill’s equation with complex coefficient are derived using Galerkin’s method. The effect of core loss factor, hub radius, Shear modulus, angular velocity of beam, rotation parameter and ratio of width of elastic layers of beam on static buckling load of the system is investigated through a series of graph using required MATLAB program.

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Energy & Exergy Analysis in Vapour Compression Refrigeration System[ ]


Simple vapour compression refrigeration system consists of compressor, condenser, evaporator and expansion valve. The steady flow energy and exergy equation is applied to different components of the simple vapour compression system. A comparative analysis of vapour compression refrigeration system is studied by using two different refrigerants viz. R12 and R134a. Two different conditions are taken for the study; by keeping evaporator temperature constant and varying condenser temperature and vice versa.

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Buckling Analysis of Rectangular Plate Element Subjected to In-Plane Loading Using Finite Element Method[ ]


The usage of heterogeneous materials in situations where large strength to weight ratio is required has been increased substantially over the world in all construction aspects. The behavior of the plate under each loading is different. The buckling factors are evaluated by changing the position of the holes, length to thickness ratio. The effect of changing the position of holes, a/b ratio, thickness and buckling load per unit length is discussed.

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Analysis of Heat Transfer for Varying Surface Fin[ ]


Study of one dimensional steady heat conduction equation along the length of the fin is conducted on varying cross-section. The heat transfer from the base of the fin is due to conduction and from the surface to the atmosphere is due to convection. The varying cross-sections are assumed to be triangular and parabolic. The internal heat generation for both the fin is zero. The final heat transfer equation is in the form of zeroth order Bessel equation. Heat transfer rate from the fin is along the length is calculated by using Bessel’s function. The temperature profile is also calculated along the length of the fin as well as the effectiveness, efficiency.

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Simulation of Modal Responses of L-bonded Layered Structure[ ]


The composite structural members are broadly used in the following application such as aerospace, automobiles, robotics arms, architecture etc. In such application and also for joining various composite parts together they are fastened together either using adhesives or mechanical fasteners. An numerical and simulation of the behavior of composite L-joints under higher-rate dynamic load is presented including the investigation of different joint designs to increase damage tolerance and failure resistance.

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Low cost remote heart beat monitoring and abnormality prediction using Hadoop cluster[ ]


In modern life style humans have no time to monitor and properly maintain the health records.According to the survey of WHO an estimated 17.7 million people died of CVDs in recent years, representing 31%of all global deaths. Of these deaths, an estimated 7.4 million were due to coronary heart disease and 6.7 million were due to stroke. Hence to help the remotely located people we tried to aim in this paper is to develop a low cost portable heart beat monitoring and abnormality prediction system using apache hadoop. The device is designed with three sensing electrodes, ECG sensor and NodeMCU.

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Investigation of angular error during taper cutting in Inconel 718 using WEDM process[ ]


The current research work presents the effect of process parameters on angular error during taper cutting using WEDM process. Taper cutting is an unique operation of WEDM process, which provides an effective way for machining conductive, high strength and temperature resistant materials and has the capability to produce components with complex features and curved surfaces. During this process the wire is subject to deformation, which creates deviation in the inclination angle of the machined part. As a result, the machined part loses its precision.

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Fabrication and Mechanical Characterisation of Jute-Glass-Silk Fiber Polymer Composites[ ]


In this paper hybrid polymer composites are manufactured using jute (0-20%), glass (0-16%) and silk (0-8%). Experiments have been planned as per Taguchi’s L16 orthogonal array. After preparing the composite material by hand layup technique mechanical characterizations are performed. The effect of filler in modifying the physical and mechanical properties of hybrid composites are analyzed. Only single response optimization has been carried out. In single objective optimization, Taguchi’s method has been utilized. Optimal results have been verified through confirmatory experiments.

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Damage Detection in Structural Elements Using An Immune Based Evolutionary Algorithm[ ]


Damage in structural and rotating machine elements causes the local changes in the dynamical parameters of the system. Damage detection of systems represents an important research topic widely investigated. During the last two decades several researches have been conducted with reference to beams, trusses, plates, shells, bridges, offshore platforms, and other large civil structures, aerospace and composite structures to detect structural damages by monitoring the dynamic response of the system. Therefore, changes in the physical properties will cause changes in the modal properties. The aim of this chapter is to derive a simple procedure for estimating the damage in structures based on a data driven subspace identification technique. These changes in the modal parameters can be used as the input variables to find out the damage severity

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Prediction of Air Pollutants Emitting from Chimney of A CHP Using CFD[ ]


Thermal power plant is the main source of base electric power generation for domestic and industrial use. The baseline pollutants emitted from the chimney stacks undergo dispersion in the atmosphere with its supporting meteorological condition and deteriorates the quality of the ambient air and hence a serious threat to the biotic and abiotic elements. The current research work involves the estimation of the ground level concentration (GLC) for the baseline pollutants (NO, N2O and SO2) obtained due to the burning of G-grade coal through fluidised combustion process.

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Control and Balancing of Two-Wheeled Mobile Robots using Sugeno Fuzzy Logic in the domain of AI Techniques[ ]


A comprehensive research has been addressed in the current analysis towards the control and stability of two-wheeled mobile robots using Sugeno Fuzzy logic technique. During the analysis, several inputs such as tilting angle, current acceleration and current velocity and outputs such as final acceleration and final velocity are calculated to make the two-wheeled mobile robot stable during navigation. In the process, a theoretical, as well as experimental results, are given to prove the authenticity of the methodology adopted. It is observed that theoretical results agree well with the experimental results.

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Analysis of Path Planning of Humanoid Robots using Neural Network Methods and Study of Possible use of Other AI Techniques[ ]


In the current paper “ROBONOVA” humanoid robot has been analyzed and studied. A neural network method has been applied for navigation of the humanoid robots in the cluttered environment consisting of various obstacles. It has been observed that using the neural network method the “ROBONOVA” humanoid can navigate safely in cluttered environment while starting from source position to goal position. Here a comparison has been made between experimental and numerical results using Neural Network method. It has been observed during comparison that the Neural Network method can be efficiently used for control and navigation of humanoid robots. In the current paper several other papers are also studied and their possible applications have been explored. It is also documented that the various AI techniques can be used for control of humanoid robots and application in other engineering fields.

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Control Strategy of a Real Mobile Robot using Singleton Takagi Sugeno Fuzzy Inference Methodology within The Frame Work of Artificial Intelligence Techniques[ ]


A systematic research methodology has been adapted using singleton Sugeno fuzzy inference technique for solving a complex navigational control problem of a mobile robot from source point to destination point while negotiating with obstacles. A set of simulation and experimental analyses are performed and the results are depicted in graphical and tabular forms. It is observed from the simulation and experimental results that the proposed technique is well suited for navigational control of robots in a densely populated environment. Keeping in view of the methodology used for control of robots several artificial intelligence techniques are also discussed in the current paper.

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Insight of a Six Layered Neural Network along with other AI Techniques for Path Planning Strategy of a Robot[ ]


The current paper analyses and discusses a six layered Neural Network methodology for route planning and control of a robot in a highly densely scenario. The inputs such as Front Obstacle distance, Left Obstacle distance, Right Obstacle distance, Target angle and outputs such as Steering Angle are taken as various parameters for the neural network. During the analysis, results from experiments and simulations are calculated using the six layered neural network. The deviation of results between the experiment and numerical analysis are found to be within six percent. Just like neural network, several others AI techniques are also studied for potential use in the field of robot navigation and related engineering fields.

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Analysis and Investigation of Mamdani Fuzzy for Control and Navigation of Mobile Robot and Exploration of different AI techniques pertaining to Robot Navigation[ ]


The field of autonomous navigation using robots have seen a lot of research in past few decades due to its increasing demand and application in various sectors. In the current paper Mamdani fuzzy has been analyzed for navigation and control of robot during path planning. During the research simulation and experimental results for path length and time taken from source point to target point have been depicted using the fuzzy methodology. The results are found to be in good agreement. In the current analysis several AI methods have also been studied and their potential for application in the field of robotics have been discussed.

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Preparation of Papers for “THE EFFECT OF HOT FORGING ON MECHANICAL AND TRIBOLOGICAL PROPERTIES OF AL ALLOY BASED MMC”[ ]


Aluminum based particulate reinforced metal matrix composites (MMCs) are used in industries like aerospace, defense, automobile, structural engineering due to its high specific strength, stiffness, resistance at high elevated temperature and low thermal expansion. The aim of the present work is to investigate the effect of hot forging on mechanical and tribological properties of a MMCs based on the Al alloys LM6 reinforced with Fly Ash (FA) and Rice Husk Ash (RHA). The composite was prepared by using Stir casting route. Different properties such as hardness, density and wear were measured. The result of this research work shows that the FA based MMCs gives batter mechanical as well as tribological properties as compared with RHA based MMCs and un-reinforced LM6.

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Processing and characterization of in-situ Al-Si-2TiB2 Composites[ ]


There is always an increasing demand for advanced materials with enhanced properties through economic processing routes with reference to their field of applications. Tailoring the mechanical properties of light weight Al-Si alloys through stir casting route by virtue of incorporating TiB2 reinforcement is much simple and convincing with the use of salt metal reaction. High strength to weight ratio, good wear and corrosion resistance, superior castability, machinability and thermal expansion coefficient of Al-Si alloys make them suitable for aerospace and automobile applications.

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Effect of addition of 2%Al2O3 for grain refinement of Al-16Si Hypereutectic Alloys at 770°C[ ]


Presently light weight Al-Si alloys are recognized as excellent candidate, which will replace the traditional use of cast iron in automobile engine in order to promote fuel economy & improvements in vehicle emission in engineering applications. The microstructure of hyper-eutectic Al-Si alloys is composed of primary Si crystals having several morphology such as star like, polygonal, plate like & feathery shape along with eutectic phase (α-Al + eutectic Si). The morphology of eutectic Si is also complex, including coarse acicular and flake like shape. During conventional casting process the size, morphology and distribution of primary and eutectic Si phase in Al-Si alloys play a critical role in determining the mechanical properties and wear behaviour.

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Dielectric studies of single phase Mg2TiO4 inverse spinel ceramics via high energy ball milling[ ]


In this papaer we have studied the structural and dielectric properties of single phase Mg2TiO4 inverse spinel ceramics using X-ray diffraction, Scanning electron microscopy and Dielectric spectroscopy. Polycrystalline Mg2TiO4 ceramics is synthesized via high energy ball milling technique and its single phase nature was confirmed by Rigaku high power X- ray diffractometer. The processing parameters and sintering temperatures are optimized and a maximum relative density of 97.75% (of the theoretical density) with uniform microstructure is observed for the Mg2TiO4 sample sintered at 1325 oC for 3 hours.

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Structural analysis of pure and zinc doped Bismuth Ferrite by Spray pyrolysis method[ ]


Multiferroic BiFe(1-x)ZnxO3 (x=0.00,0.03) thin films were prepared on glass substrates by using spray pyrolysis method. The prepared samples sintered at different temperature for 2h show a single phase nature. The structural properties were investigated using XRD and FESEM.. X-ray diffraction studies indicates distorted rhombohedral R3c perovskite structure FESEM images shows the change of grain size from nearly spherical to elongated shape with Zn substitution. The structural change might be an important factor for achieving the ferroelectric properties in these materials.

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A STUDY OF COGNITIVE FUNCTION WITH MEMORY OF HUMAN BEING USING BLUE BRAIN[ ]


Cognitive function has a vital role in human life. Particularly cognitive function with memory is most important factor to study the day to day life of human body. In this paper it has been study the cognitive function of human body using his/her memory with the help of blue brain concept whereas; blue brain is a novel tool for brain disorder. It can be used for volatile and short term memory at an old age and also treated as foundation for whole brain simulation.

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