Browsing by Author "Anarghya, A."

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A study on the behavior of CO2 corrosion on pipeline using computational fluid dynamics, experimental and artificial neural network approach
(IOP Publishing Ltd custserv@iop.org, 2020) Nayak, N.; Anarghya, A.; Al Adhoubi, M.
Corrosion of the piping systemis a genuine problem in the oil and gas industry.Most oil and gas industries used a carbon steel pipeline for the transportation of crude oil, which is affected by CO2 corrosion. Now a day, the computational approach and artificial neural network approach will be used to study the corrosion rate. Therefore, in this work, Computational Fluid Dynamics (CFD) and Artificial Neural Network (ANN) studies on piping systems were made to determine the corrosion rate induced byCO2 saturated aqueous solutions on carbon steel pipeline. In CFD study, corrosion rates were computed by modeling the electrochemical processes occurring at themetal substrate fromcathodic reductions of the carbonic acid and hydrogen ions, and the anodic oxidation of the metal component. Also, an artificial neural network study wasmade using a multilayer perceptron neural network method; and, computational fluid dynamics and artificial neural network simulations were validated with in-house built experiment set-up. The experimental study had been carried out for more than 200-h to find the corrosion rate on the pipeline, and satisfactory trendswere observed between computational fluid dynamics, artificial neural network, and experimental values. In the end, corroded pipes were observed under a scanning electron microscope and X-ray spectroscopy, and the corroded zones were viewed as against the non-corroded pipe. © 2020 IOP Publishing Ltd.
Development of low cost solar dryer for Oman conditions
(2018) Nayak, N.S.; Anarghya, A.; Abhishek, V.N.; Al, Bulushi, I.
Solar dryer is one of the technologies which are used in many countries to dry the agricultural products. In the present wok, development of low cost pebble bed solar dryer was made to suit for Oman weather conditions. The system consists of solar collector with pebbles for heat storage and cost effective food drying chamber. Initially, dryer performance was studied with banana and study results revealed that maximum dryer room temperature of 68�C and the moisture loss content of 52%. In addition, dryer chamber efficiency of 34% was achieved in the study. Overall, the study results indicated that late evening drying up to 7PM was noticed and the developed dryer system gave better results than dryers available in the market. � Published under licence by IOP Publishing Ltd.
Development of low cost solar dryer for Oman conditions
(Institute of Physics Publishing helen.craven@iop.org, 2018) Nayak, N.S.; Anarghya, A.; Abhishek, V.N.; Al-Bulushi, I.
Solar dryer is one of the technologies which are used in many countries to dry the agricultural products. In the present wok, development of low cost pebble bed solar dryer was made to suit for Oman weather conditions. The system consists of solar collector with pebbles for heat storage and cost effective food drying chamber. Initially, dryer performance was studied with banana and study results revealed that maximum dryer room temperature of 68Â°C and the moisture loss content of 52%. In addition, dryer chamber efficiency of 34% was achieved in the study. Overall, the study results indicated that late evening drying up to 7PM was noticed and the developed dryer system gave better results than dryers available in the market. Â© Published under licence by IOP Publishing Ltd.
Development of Powerhouse Using Fresnel lens
(2018) Al-Dohani, N.S.; Nagaraj, S.N.; Anarghya, A.; Abhishek, V.N.
Solar energy is an alternative source of renewable energy. Sultanate of Oman government showed initiation on utilization of solar energy for domestic and industrial applications. Fresnel lens is one of the methods to collect maximum energy by gathering heat of the sun in the concentrated form (using solar collectors). Earlier research work discloses that Fresnel lens gave better result in terms of power output and produces lower heat loss as compared to linear -parabolic solar collectors. In this work, development of a proto Fresnel lens power house was made to generate electricity. The focused heat from Fresnel lens was used to heat the molten salt in a heat exchanger to produce the steam. The generated steam was used to rotate the steam engine coupled to a generator. In the current work, a maximum power of 30 W was produced. In addition, comparative study was carried out regarding solar salts and heat exchanger materials to understand the Fresnel powerhouse performance. Overall the present study gave valuable information regarding usage of Fresnel lens for electricity generation in Oman. � The Authors, published by EDP Sciences, 2018.
Development of Powerhouse Using Fresnel lens
(EDP Sciences edps@edpsciences.com, 2018) Al-Dohani, N.S.; Nayak, S.N.; Anarghya, A.; Abhishek, V.N.
Solar energy is an alternative source of renewable energy. Sultanate of Oman government showed initiation on utilization of solar energy for domestic and industrial applications. Fresnel lens is one of the methods to collect maximum energy by gathering heat of the sun in the concentrated form (using solar collectors). Earlier research work discloses that Fresnel lens gave better result in terms of power output and produces lower heat loss as compared to linear -parabolic solar collectors. In this work, development of a proto Fresnel lens power house was made to generate electricity. The focused heat from Fresnel lens was used to heat the molten salt in a heat exchanger to produce the steam. The generated steam was used to rotate the steam engine coupled to a generator. In the current work, a maximum power of 30 W was produced. In addition, comparative study was carried out regarding solar salts and heat exchanger materials to understand the Fresnel powerhouse performance. Overall the present study gave valuable information regarding usage of Fresnel lens for electricity generation in Oman. Â© The Authors, published by EDP Sciences, 2018.
Effect of zirconium oxide particulate composites with Al-Si on the microstructural and mechanical properties of hot pressed, spray forming and stir casting methods
(Taylor and Francis Ltd., 2023) Patil, I.S.; Anarghya, A.; Rao, S.S.; Herbert, M.A.; Kushwaha, R.
This research work aims to investigate the aluminum and silicon alloy reinforced with the ZrO2 powder particles, which has been fabricated using stir casting and spray deposition method. The mechanical properties, micro hardness and microstructure of the developed metal matrix composite is investigated. The microstructural results indicate that the rich interface among the AlSi-ZrO2 particles and depicts the agglomeration of reinforced phase resulting to poor wettability of ZrO2 and observed decohesion. The mechanical testing results indicate that the tensile strength increases with the percentage of ZrO2. Moreover, as cast composites exhibit reverse tendency in compressive and hardness values. The highest compressive values for as cast and hot-pressed composites were 380 MPa and 337 MPa for 10% ZrO2. The highest tensile strength of 191.83 MPa was obtained for 5% ZrO2 as cast composite and 164 MPa for 15% ZrO2 hot pressed composite. It is to note that as cast composite method represented more homogenous data compared to the hot-pressed composites. Hot pressed samples exhibited the reduction in the porosity compared to the as cast. The developed method proved to be accurate, reduced time and efficient to predict the numerous samples. © 2021 Engineers Australia.
Experimental Investigation and Optimisation of Mechanical and Microstructure Behaviour of Stir Cast and Hot-Pressed Al-12.5%Si-ZrO2 Composites: Taguchi and Super Ranking Concept
(Taylor and Francis Ltd., 2022) Patil, I.S.; Anarghya, A.; Rao, S.S.; Herbert, M.A.; Goudar, D.M.
Stir cast processing route was employed to prepare the composite. Taguchi experimental plan with a set of parameters such as stir speed, stir time, ZrO2 % reinforcement, and casting temperature were studied to know their influence on the composite properties. ZrO2 % reinforcement, followed by stir speed, is the most dominant factor influence on composite properties. Super ranking concept determined stir casting optimal condition resulted in 25.02% and 5.64% increase in ultimate tensile strength and hardness, whereas 37.68% reduced wear loss of composites compared to initial stir casting conditions. The hot-pressing parameters (pressure, temperature, and dwell time) were analyzed to know the process insights on composite properties. The pressure is the most dominating factor followed by temperature on all the properties of composites. Super ranking concept determined optimal hot-pressing conditions showed a 39.3% reduction in wear loss, 11.54% and 4.88% increase in ultimate tensile strength and hardness values compared to initial hot-pressing condition, respectively. Applying a hot-pressing technique on the optimized conditions of stir casted parts resulted in 40.7% reduction in wear loss, 19.71% and 9.5% increase in ultimate tensile strength and hardness values. The difference in properties obtained for samples fabricated correspond to initial, and optimal conditions of stir casting and hot-pressing technique was strongly justified with resulted microstructures and worn surface morphologies. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
Experimental investigation of tensile fractography and wear properties of Al-12.5Si alloy reinforced with ZrO2 using spray deposition method
(Elsevier Ltd, 2022) Patil, I.S.; Anarghya, A.; Rao, S.S.; Herbert, M.A.
To improve the wear resistance of Al–12.5Si alloy, various percentage of zirconium oxide as reinforcement particles were used to produce metal matrix composites by spray deposition method. First, the developed metal matrix composites were subjected to dry sliding wear test using pin-on-disk apparatus under 60 N normal load with sliding velocity of 4.5 m/s at room conditions (∼28 °C and ∼60% relative humidity). The experimental results showed that the wear resistance of the developed composite can be optimized using a proper flight distance. In order to model the correlation between the wear properties and applied load, flight distance and sliding velocity of the metal matrix composites, a neural network model with genetic algorithm was developed. Second, the spray forming parameters such as flight distance, gas pressure, melt temperature and ZrO2 reinforcements were examined experimentally and analyse the insight on mechanical properties. Central composite design (CCD) with response surface methodology (RSM) was employed for selecting experimental matrix and latter perform detailed analysis. ZrO2 reinforcements and gas pressure showed major contribution, whereas negligible contributions with melt temperature and flight distance on hardness and UTS. The developed non-linear models for both responses showed similar effects and confirmed their relationship appears linear with good correlation coefficient equal to 0.978. The non-linear models derived empirical equations ensures accurate prediction with ten experimental cases equal to 1.21% for hardness and 6.09% for UTS, respectively. Multiple objective particle swarm optimization based crowding distance (MOPSO-CD) method integrated with desirability function approach (DFA) to determine the optimal spray forming conditions for achieving maximum hardness and UTS. The weights (0.05 for hardness and 0.95 for UTS) which ensures highest desirability value equal to 0.9958, and corresponding optimal spray forming conditions (melt temperature: 798 °C, flight distance: 0.35 m, gas pressure: 0.97 MPa and ZrO2 reinforcements: 11.6%) resulted in highest hardness of 80.4 HV and UTS of 173.2 MPa, respectively. © 2022 Elsevier Ltd
Investigation of errors in microcontroller interface circuit for mutual inductance sensor
(Elsevier B.V., 2019) Anarghya, A.; Rao, S.S.; Herbert, M.A.; Karanth P, P.N.; Rao, N.
This paper proposes direct microcontroller interface circuit on Arduino platform, which is realized using the inductive sensors. The circuit is composed of two external resistors and two reference inductors resulting in four RL circuits. The microcontroller independently excites the two RL circuit on the primary side in order to measure the discharging time of voltage across each inductor. The discharging time of voltage across the inductors on the secondary side is measured similarly which is excited due to mutual inductance from the primary side. The technique of time-to-digital conversion from the built-in timer of microcontroller enables estimation of inductance value, which is compared with the actual value for self-inductance and mutual inductance circuits. Error analysis on the discharge time measurement are performed viz, parasitic resistance, parasitic capacitance on input–output ports along with ringing effects and relative quantization error. The resistance and inductance estimation with regards to varying time period of oscillation of crystal is performed to analyze the effect of oscillation frequency on estimation. The parasitic resistance and quantization effects both contribute to the non-linearity errors (NLE) which is investigated further experimentally. The optimum value of the resistance was observed to be 120? and 60? for the primary and secondary side respectively. For primary side, the current and power consumption is 29 mA and 145 mW respectively, while for the secondary side, the current and power consumption is 27.5 mA and 137.5 mW respectively. The maximum NLE of ?0.18 %FSS and ?0.24 %FSS has been observed for an inductance range of 1 mH–10 mH along both primary and secondary sides respectively, whereas for an inductance range of 10 mH–100 mH, the NLE achieved was 0.29 %FSS and ?0.34 %FSS for the primary and secondary sides respectively. The future scope of the linear position displacement of the inductive sensor concludes the paper. © 2018 Karabuk University
Mechanical and microstructural analysis of a AlSi-ZrO2 metal matrix composite using optimized artificial neural network and experimental data
(Elsevier Ltd, 2021) Patil, I.S.; Anarghya, A.; Rao, S.S.; Herbert, M.A.
Spray deposition methods has emerged as an alternative to powder metallurgy and ingot routes. This research aims to study the effect of flight distance as a potential key factor that changes the optimum percentage of aluminium silicon- zirconium oxide in terms of mechanical and microstructural properties. The alloy is sprayed at varying the flight distance from 320 mm to 480 mm. The composite were prepared by spray deposition technique and effects on microstructural properties were examined. The aluminium silicon- zirconium oxide composite was subjected to hot isostatic pressing for reducing the porosity of the deposit from 14.4% to 8.2%. A series of experimental study were carried out in the laboratory by varying the flight distance from 320 mm to 480 mm for aluminium silicon- zirconium oxide composite to characteristic loading. In this paper, an optimized artificial neural network using genetic algorithm are developed to predict the mechanical behaviour for aluminium silicon- zirconium oxide composites. Based on the experimental data, the ANN models were developed, trained and tested. The microstructure of the AlSi-ZrO2 composite consisted of finely divided globular shaped eutectic Si uniformly distributed in the Al matrix. With addition of zirconium oxide composition to AlSi alloy, the tensile strength and micro hardness increased from 123 MPa to 147 MPa and, 48 HV to 72 HV, respectively. The preferred flight distance for the current study is found to be 420 mm. Microstructural images obtained at flight distance consist of co-existing primary Si phase and needle like eutectic Si. The physical properties, such as tensile strength, compressive strength, yield strength, micro hardness and porosity of sprayed aluminium silicon- zirconium oxide can hence be adjusted by setting the optimized flight distance. The developed ANN-GA method proved to be accurate, reduced time and efficient to predict the numerous samples and it will help materials designers to design their future experiments effectively. © 2021 Elsevier Ltd
Optimized ANN-GA and experimental analysis of the performance and combustion characteristics of HCCI engine
(Elsevier Ltd, 2018) Anarghya, A.; Rao, N.; Nayak, N.S.; Tirpude, A.R.; Harshith, D.N.; Samarth, B.R.
HCCI (Homogeneous Charge Compression Ignition) engine has the benefit of operating at high thermal efficiency and low emissions of NOx and soot. However, it has challenges of complex combustion phase controlling and low operating range. This research work investigated the performance and combustion characteristics of HCCI engine with numerical simulations on ANSYS FLUENT and neural network models. The numerical and neural network results were validated by experimental observations with different fuel properties and reduced valve lifts for trapping of the exhaust gases. Experiments were performed on a SMART engine for different speeds and inlet air temperature, with various reference fuels (PRF30, PRF50, PRF70) and methanol to validate the CFD and ANN-GA observations. The engine performance was analyzed for IMEP, ISFC and thermal efficiency, which were found to be 8.2 bar, 205 g/kWh and 44.5% respectively as the optimum performance with PRF-70 fuel. The trapping of the residual gases was performed with various fuel blends in order to overcome the cyclic variations and to improve the operating zones near the knock boundary. The heat release rate was significantly reduced with trapped exhaust gases, and operating region was improved with the use of methanol fuel. Overall the trapping of the hot residual gases resulted in the maximum increase in the operating region by 12% and reduced cyclic variations by 15% for methanol fuel. The exhaust emissions were analyzed and ultra-low emissions of NOx at lean operating conditions were observed with the reduced valve lifts. The study results indicated thermal NO emissions on an average were decreased by 7.8%, CO emissions reduced by 6% and HC emissions increased by 9%. Methanol had ultra-low emissions of HC and CO, but higher emissions of NO and PRF30 had lower emissions of NO. However, ANN-GA model gave satisfactory combustion characteristics and emissions with respect to experimental results. Thus, CFD simulations, Neural Network methods and experimental study gave valuable thoughts of trapped residual gases approach on performance, combustion and emission characteristics of HCCI with PRF's and methanol fuel. © 2017 Elsevier Ltd
Thrust and torque force analysis in the drilling of aramid fibre-reinforced composite laminates using RSM and MLPNN-GA
(Elsevier Ltd, 2018) Anarghya, A.; Harshith, D.N.; Rao, N.; Nayak, N.S.; Gurumurthy, B.M.; Abhishek, V.N.; Patil, I.G.S.
Aramid Fibre Reinforced Plastic composites are difficult to be drilled due to anisotropic material properties. Currently, soft computing techniques are used as alternatives to conventional mathematical models, which is robust and can deal with inaccuracy and uncertainty. In this paper, drilling of Aramid Fibre Reinforced Plastics (AFRPs) was carried out using Taguchi L54 experimental layout. Drilling tool used in this experiment was solid carbide. The purpose of this study was to find optimum combination of drilling parameters to obtain minimum thrust and torque force to reduce the delamination. Also, this paper proposed a prediction model of Multilayer Perception Neural Network optimized by Genetic Algorithm (MLPNN-GA). Moreover, RSM technique was used to evaluate the influence of process parameters (spindle speed, feed rate, drill point angle and drill diameter on thrust force and torque. The prediction capability of both RSM and MLPNN-GA was compared with Response optimizer for thrust force and torque. The investigation demonstrated that drill point angle is the primary factor affecting thrust force and drill diameter influences the torque force on the drill bit. Overall, this study recommends the use of high speed and low feed combination and drill point angles of 90°–118° to reduce the delamination of the materials in the drilling of AFRP composites. © 2018 The Authors
Wear study and EHD lubrication analysis on connecting rod big end bearings of off-highway application engine
(John Wiley and Sons Ltd vgorayska@wiley.com Southern Gate Chichester, West Sussex PO19 8SQ, 2020) Nayak, N.; Rane, S.; Anarghya, A.; Kushwaha, R.
The connecting rod big end bearings are under dynamic lubrication during working cycle, and in most of the time, the con rod is subjected to compressive stress. The conventional method of performing an EHL analysis on a bearing involves development of complex mathematical equations and simplification of actual physical model. This paper presents a methodology to model and simulate the elastohydrodynamic lubrication and wear study of connecting rod big end bearings of off-highway application engine using the application of computational fluid dynamics (CFD) and computational structural dynamics (CSD) approaches. The pressure field for a full journal bearing operating under laminar flow regime with various eccentricities was obtained by CFD, and fluid pressure distribution and deformation in the bearing liner due to pressure were evaluated using FSI approach. Relevant parameters of lubrication characteristics were analyzed to optimize the eccentricity value. The maximum bearing load value of 21 kN was noticed at TDC position for the optimum eccentricity. The load distribution indicated critical points in the bearing, and the data obtained from bearing load and sliding velocity of journal were used in Archard's wear relation to determine the wear depth along the bearing width. The simulated wear results were compared with three-cylinder off-highway application engine con rod big end bearings, which ran for 1000 hours at full load condition, and satisfactory agreement was observed between experiment and simulation values. © 2020 John Wiley & Sons, Ltd