Roul M.K.,Bhadrak Institute of Engineering and Technology |
Dash S.K.,Indian Institute of Technology Kharagpur
Journal of Fluids Engineering, Transactions of the ASME | Year: 2012
Two-phase flow pressure drops through thin and thick orifices have been numerically investigated with air-water flows in horizontal pipes. Two-phase computational fluid dynamics (CFD) calculations, using the Eulerian-Eulerian model have been employed to calculate the pressure drop through orifices. The operating conditions cover the gas and liquid superficial velocity ranges V sg 0.3-4 m/s and V sl 0.6-2 m/s, respectively. The local pressure drops have been obtained by means of extrapolation from the computed upstream and downstream linearized pressure profiles to the orifice section. Simulations for the single-phase flow of water have been carried out for local liquid Reynolds number (Re based on orifice diameter) ranging from 3 10 4 to 2 10 5 to obtain the discharge coefficient and the two-phase local multiplier, which when multiplied with the pressure drop of water (for same mass flow of water and two phase mixture) will reproduce the pressure drop for two phase flow through the orifice. The effect of orifice geometry on two-phase pressure losses has been considered by selecting two pipes of 60 mm and 40 mm inner diameter and eight different orifice plates (for each pipe) with two area ratios ( 0.73 and 0.54) and four different thicknesses (s/d 0.025-0.59). The results obtained from numerical simulations are validated against experimental data from the literature and are found to be in good agreement. © 2012 by ASME.
Ray P.K.,National Institute of Technology Rourkela |
Puhan P.S.,Bhadrak Institute of Engineering and Technology |
Panda G.,Indian National Institute of Engineering
International Journal of Electrical Power and Energy Systems | Year: 2016
Power system harmonics should be estimated properly for the maintenance of power quality. So, there is a need for development of more accurate and computationally efficient estimation technique. In this context, this paper presents a harmonics estimation technique using a Variable Leaky Least Mean Square algorithm. In this proposed method drifting of parameters is avoided using a leak adjustment method. To improve the rate of convergence, step size is also adapted in this method. Real time power system is also imitated using different cases through simulation, which enables the superiority of the proposed method over the other existing techniques. Studies made on experimental data, processed in arduino due microcontroller, also support its superiority. © 2015 Elsevier Ltd. All rights reserved.
Behera G.C.,Bhadrak Institute of Engineering and Technology |
Gunneswar R.T.D.,National Institute of Technology Warangal |
Rao C.B.K.,National Institute of Technology Warangal
Procedia Engineering | Year: 2013
Structural repair and rehabilitation of concrete structures is necessary for all deteriorated or damaged structures to restore and enhance the load bearing capacity as well as to increase the life span of the structure In the recent past 3Rs of construction Technology (Retrofitting, repair and Rehabilitation) became popular due to the natural calamities or the updates of the codal provisions. Use of FRPs have been gaining world wide acceptance as retrofitting material for their high strength, light weight and good fatigue life. However, from cost benefit point of view ferrocement can be used as wrapping for rehabilitation of deteriorated or damaged reinforced concrete beams. Ferrocement, a thin structural composite material, exhibits better crack arresting capacity, higher tensile strength to weight ratio, ductility and impact resistance. Hence it can be used as an alternative for FRPs in the field of repair and rehabilitation. Very little information is available from literature on the repair and rehabilitation of reinforced concrete beams with ferrocement wrapping especially in resisting pure torsional loads. Repair and rehabilitation of the distressed concrete structures is well addressed by researchers for the basic structural actions such as axial loads, flexure and shear in past few years, but torsional repair and rehabilitation has not attained much importance in research due to its complex nature and its occurrence with other basic structural forces. Circulatory torsion induces shear stresses on all four sides and would be well resisted by closed form reinforcement. But due to monolithic construction of beam and slabs, U wrap retrofitting is the most practical solution. Experimental results and analytical models of previous researchers revealed that wrapping on three sides of the beam also enhance the ultimate torsional strength. An experimental investigation is conducted to address the torsional capacity and twist of reinforced concrete beams with reinforcement only on transverse direction and strengthened with ferrocement "U" wraps (leaving the top side free from wrapping) as this situation is more common in the rehabilitation of concrete structures. The results revealed that single type of reinforcement (only on transverse direction) is not an effective way of enhancing the torsional strength while increase in toughness is found to be marginal. © 2013 The Authors.
Panda M.C.,Bhadrak Institute of Engineering and Technology |
Yadava V.,Motilal Nehru National Institute of Technology
Materials and Manufacturing Processes | Year: 2012
Die sinking-electrochemical spark machining (DS-ECSM) is one of the hybrid machining processes, combining the features of electrochemical machining (ECM) and electro-discharge machining (EDM), used for machining of nonconducting materials. This article reports an intelligent approach for the modelling of DS-ECSM process using finite element method (FEM) and artificial neural network (ANN) in integrated manner. It primarily comprises development of two models. The first one is the development of a thermal finite element model to estimate the temperature distribution within the heat-affected zone (HAZ) of single spark on the workpiece during DS-ECSM. The estimated temperature field is further post-processed for determination of material removal rate (MRR) and average surface roughness (ASR). The second one is a back propagation neural network (BPNN)-based process model used in a simulation study to find optimal machining parameters. The BPNN model has been trained and tested using the data generated from the FEM simulations. The trained neural network system has been used in predicting MRR and ASR for different input conditions. The ANN model is found to accurately predict DS-ECSM process responses for chosen process conditions. This article also presents an effective approach for multiobjective optimization of DS-ECSM process using grey relational analysis. Copyright © 2012 Taylor and Francis Group, LLC.
Panda K.C.,Bhadrak Institute of Engineering and Technology |
Bhattacharyya S.K.,Central Building Research Institute CBRI |
Bhattacharyya S.K.,Indian Institute of Technology Kharagpur |
Barai S.V.,Indian Institute of Technology Kharagpur
Indian Concrete Journal | Year: 2010
This paper presents an experimental study on reinforced concrete (RC) T-beams strengthened in shear using epoxy bonded glass fibre fabric. Nine simply supported RC T-beams, with six beams used as control beams with and without shear reinforcements formed the set of specimens. Three beams were strengthened in shear with up to three layers of glass fibre reinforced polymer (GFRP) in U-shape around the web of the T-beams. The specimen beams had six mm diameter stirrups provided at 200 mm spacing. They were tested at the structural engineering laboratory of IIT, Kharagpur using a 300 ton Universal Testing Machine (UTM). The experimental results showed the externally bonded GFRP with internal transverse steel reinforcement contributed significantly to the shear capacity.