Forthcoming articles

 


International Journal of Engineering Systems Modelling and Simulation

 

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International Journal of Engineering Systems Modelling and Simulation (11 papers in press)

 

Regular Issues

 

  • Enhanced Monitoring of Batch Process Using Just-in-Time Learning Based Kernel Independent Component Analysis   Order a copy of this article
    by Li Wang 
    Abstract: A new method is developed for batch process monitoring in this paper. In the developed method, just-in-time learning (JITL) and kernel independent component analysis (KICA) are integrated to build JITL-KICA monitoring scheme. JITL is employed to tackle with the characteristics of batch process such as inherent time-varying dynamics, multiple operating phases, and especially the case of uneven length stage. According to new coming test data, the most correlated segmentation is obtained from batch-wise unfolded training data by JITL. Then, KICA serves as the principal components extraction approach. Therefore, the non-Gaussian distributed data can also be addressed under this modeling framework. The effectiveness and superiority of JITL-KICA based monitoring method is demonstrated through benchmark data of DuPont industrial batch polymerization reactor.
    Keywords: batch process; process modeling; process monitoring; time varying dynamics; multiple operating phases; uneven length stage; non Gaussian distribution; kernel independent component analysis; just in time learning; online fault detection.

  • A Numerical Study of a Greenhouse CFD Simulation including Radiation Heat Transfer and Transpiration   Order a copy of this article
    by Karin Farber, Peter Farber, Jens Grabel, Sebastian Krick, Peer Ueberholz 
    Abstract: Radiation and transpiration are important physical phenomena in greenhouses. In this paper we present a 3D computational fluid dynamics (CFD) simulation of a system model of a small greenhouse to investigate heat fluxes due to radiation and transpiration. The system model of the greenhouse includes incoming radiation by the sun, radiation heat transfer exchange with the surrounding, convection heat transfer, an active ventilation, open windows, a porous media modeling tomato crop, and a transpiration model coupled to the porous medium of the tomato crop. All simulations were performed transient, modelling the global location of the city of Venlo in the Netherlands with the moving sun. The fine 5 million cell mesh allowed a high spatial discretization which, together with a moderate time discretization, showed details in transpiration and radiation absorption inside the crop as well as details of the humidity distribution inside and around the tomato crop.
    Keywords: Computational Fluid Dynamics; Radiation Heat Transfer; Transpiration; Greenhouse; Tomato Crop.

  • Multi-Band Circular Polarizer Based on Periodic Metallic Strip Array   Order a copy of this article
    by Farman Ali Mangi, Shaoqiu Xiao, Ghulam Ali Mallah, Deedar Ali Jamro, Imran Memon, Ghulam Fatima Kakepoto 
    Abstract: The multi-band circular polarizer is proposed to convert linear-to-circular polarization using 3x3 metallic strips array. The metallic periodic strips are printed on both sides of the dielectric substrate that are subjected to enhance the axial ratio bandwidth at resonance frequencies. Firstly, the novel approach of fission transmission of electromagnetic waves is presented to obtain strong optical activity through the structure. It means that the incident linearly polarized wave is converted into two orthogonal components through lower printed metallic strips layer of the structure. Similarly, when two transmitted orthogonal components impinges on the upper printed strips, they converted into four orthogonal vector components at the end of structure. This projection and transmission sequence of incident and transmission wave sustain the chain transmission of electromagnetic wave and can achieve strong circular dichroism. Moreover, the axial ratio of Txx, Txy, is better than 1dB and the accumulative multi-band axial ratio bandwidth of 20.47% is obtained at frequency bands for circular polarization. This new concept and performance are theoretically investigated and verified by experimental results. Theoretical analysis and microwave experiments are presented to validate the performance of structure which realizes this idea successfully.
    Keywords: Dual layer polarizer; circular polarization; quarter wave plate; metamaterial.

  • Main steam temperature control based on GA-BP optimized fuzzy neural network   Order a copy of this article
    by Zhongda Tian 
    Abstract: The high inertia and long time-delay characteristics of main steam temperature control system in thermal power plant will reduce the system control performance. In order to solve this problem, a GA-BP (genetic algorithm-back propagation) optimized fuzzy neural network control strategy is proposed in this paper. Gauss function is chosen as membership function and fuzzy neural network is designed. GA combined with BP algorithm is chosen for the offline parameters optimization of fuzzy neural network, and then BP algorithm is used for online parameters optimization. GA-BP optimization algorithm overcomes the shortcomings of GA algorithm or BP algorithm which is used to adjust the parameters of fuzzy neural network controller. The simulation experiment compared with cascade PID and fuzzy neural network is carried out. Simulation results show that the controller based on GA-BP optimized fuzzy neural network has faster response speed, smaller overshoot and error, better tracking performance, and reduces the lag effect of the control system under different load, working conditions and membership functions.
    Keywords: main steam temperature; genetic algorithm; BP algorithm; fuzzy control; fuzzy neural network.

  • Identification of nonlinear dynamic systems described by Hammerstein state-space models with discontinuous nonlinearities   Order a copy of this article
    by Houda Salhi, Samira Kamoun 
    Abstract: The paper deals with the parameter estimation problem of Hammerstein state-space model with different nonlinearities. The basic idea is to develops a recursive algorithm which estimate jointly the system model parameter and the state variables by combining the adjustable model method, the least squares technique and the Kalman filter. A numerical example is provided to test the flexibility and the effectiveness of the proposed algorithm.
    Keywords: Recursive algorithm; Parameter estimation; State estimation; Hammerstein model; discontinuous nonlinearities; Adjustable model; Least squares technique; Kalman Filter; Preaload and dead zone nonlinearity.

  • Shape optimization of 2-dimensional structures using Isogeometric Analysis (IGA).   Order a copy of this article
    by Vinay K. Ummidivarapu, Hari K. Voruganti 
    Abstract: Structural shape optimization is the important stage of a design process. It reduces the overall design cycle time, weight and cost of the structure. The main modules of structural shape optimization are geometric modelling, analysis technique and optimization procedure. Since shape optimization is an iterative process, it is recommended that all the three modules bear a similar framework. In the traditional FEA based shape optimization, the geometric modelling and analysis modules are based on different frameworks and lead to difficulties like meshing, remeshing, loss of geometric data, abnormal optimal shapes etc. Isogeometric analysis (IGA) would resolve the above issues by integrating both modelling and analysis into a unified framework. In this work, isogeometric analysis is applied for shape optimization of two-dimensional structures and the results are presented. The IGA optimized results show that the difficulties of FEA based shape optimization are eliminated. Numerical results indicate the applicability of the method.
    Keywords: Isogeometric analysis; shape optimization; structural analysis; NURBS; finite elements; meshless method; genetic algorithm.

  • Modelling and simulation of an industrial flow between two moving permeable surfaces   Order a copy of this article
    by Jacques Hona 
    Abstract: Fluid distribution within a channel formed by two permeable surfaces that are accelerated in the streamwise direction is controlled using the Navier-Stokes equations. The mathematical model of the problem is reduced to solving a single, fourth-order, nonlinear ordinary differential equation by numerical integration. The analytical solution is derived for low values of the Reynolds number. The numerical results enable to characterize the influences of the permeation Reynolds number and the surface accelerating parameter on the flow streamlines, pressure gradients, velocity distribution, and wall shear stresses. It is found that positive accelerating parameters cause the backward flow which gives the existence of collision zones inside the channel. Boundary layers take place by increasing the fluid injection Reynolds number at a fixed positive accelerating parameter, and by increasing the suction Reynolds number at a fixed negative accelerating parameter. These boundary layers stop the oscillations of normal pressure gradients in the flow field.
    Keywords: injection/suction-driven flow; Navier-Stokes equations; similarity method; numerical solutions; nonlinear boundary-value problem.

  • Numerical Simulation of Heat and Fluid Flow through Silicon Based Microchannel with Different Surface Roughness Elements   Order a copy of this article
    by Sasmita Bal, Purna Chandra Mishra, Ashok Kumar Satapathy 
    Abstract: A physical problem of laminar flow through a silicon based rectangular microchannel with designed surface roughness was solved numerically. Different shapes of the surface roughnesses such as: triangular, semicircular and trapezoidal were placed along the channel wall. The two dimensional problem was modeled and simulated in the FLUENTs computational fluid dynamics (FLUENT-CFD) environments. The working fluid taken was incompressible in nature hence the no-slip condition was assumed. The inlet condition was taken as constant velocity and at the outlet was considered as zero gauge pressure as boundary conditions. The total number of grids taken was 12444 for the computational domain. FLUENTs segregated solver as an implicit solver was used. The effects of different working fluids such as: water, ethanol refrigerant and engine-oil on heat transfer were investigated for the same value of roughness pitch and height. The simulation results revealed that the Nusselt number variation along the channel was more for engine-oil than that for ethanol and water. This might be due to the fact that Nusselt number is a function of Prandtl number and the Prandtl number is comparatively high for engine oil.
    Keywords: Laminar flow; CFD; Microchannel; Surface roughness; Heat transfer.

  • A network traffic prediction method based on IFS algorithm optimized LSSVM   Order a copy of this article
    by Zhongda Tian, Shujiang Li 
    Abstract: How to predict network traffic accurately is an important issue in the network congestion control and network management. A network traffic prediction method based on improved free search algorithm optimized least squares support vector machines is proposed. Firstly, the Hurst exponent calculation shows that the network traffic time series has predictability, nonlinear and long-related characteristics, so least squares support vector machines is chosen as prediction model. Then an improved free search algorithm is introduced so that it can be applied into the parameters optimization of prediction model based on least squares support vector machines. Finally, the actual network traffic samples data of LAN and WAN are chosen as the simulation object, the simulation results show that the improved free search algorithm has faster convergence speed and better fitness value. Compared with other prediction methods, the proposed prediction method has better predictive effect and smaller predictive error. At the same time, the complexity of computation time shows that the proposed prediction method not only improves the prediction performance, but also does not increase the complexity of the algorithm.
    Keywords: network traffic; prediction; least squares support vector machines; improved free search; optimization.

  • A NUMERICAL STUDY ON AERODYNAMIC WAKE FLOW CONTROL OVER AIRFOILS BY MICROJET ACTUATORS   Order a copy of this article
    by L. Prawin, Bruce Ralphin Rose 
    Abstract: The control of wake behind the aerodynamic surfaces like airfoils plays an important role for increasing the efficiency of control surfaces. Among the numerous techniques exist for controlling the separated flows, use of micro jet actuator is superior because of its ability to fit under various flow conditions. The present article involves the design of a micro jet actuator with ANSYS design modeller and it is analysed by computational flow analysis tools. The FLUENT analysis involves the use of moving wall boundary conditions for the bottom wall with dynamic mesh enabled mode. Initially, through the basic wind tunnel testing, the point of flow separation is observed for the given airfoil model. Then, the Micro jet actuator model has been implanted on the airfoil along the line of separated flow by utilizing the analysed data. The results are obtained at different time steps ranging from 1sec to 5 sec using CFX-Post processing tools. The airfoil with Micro jet implanted system has been analysed for various free stream flow velocities with time steps varying from 0 sec to 5 sec. Influence of Micro jets on the boundary flow control has revealed striking information over the airfoil model at each time steps and the results are presented. The outcome of this study can also be extended for other domains such as flow over high speed trains, wind turbines and automobile vehicles where the separated flow control is a complex subject.
    Keywords: MJ actuator;Wake flow;Moving wall boundary condition;Transient flow analysis; ANSYS.

  • Implementation of 4D/BIM technology in the Iraqi construction industry   Order a copy of this article
    by Hussein Hamada, Ahmad Tarmizi, Zahrizan Zakaria, Ali Humada 
    Abstract: Building Information Modeling (BIM) is a new technique represented the transformation from traditional method to the method more modern in terms of dealing with digital data. 3D BIM with time schedule result to the 4D/BIM which represented by many of software such as Naviswork and Syncro. The aim of this study is to find out challenges of implementation 4D/BIM technology in the construction industry in Iraq. The data collection method for this research was through conducting a semi structure interview with civil engineer in al Najaf hospital project in Iraq, in addition to the an extensive literature review about the benefits, challenges and obstacles the implementation the 4D/BIM technique. The result proved that the construction industry in Iraq need to further support from the government through increasing awareness and financial support for construction companies.
    Keywords: Building Information Modeling (BIM); 4D/BIM; al Najaf hospital project; Naviswork and Syncro; Iraq.