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  • Open Access

    ARTICLE

    Machine Learning Models of Plastic Flow Based on Representation Theory

    R. E. Jones1,*, J. A. Templeton1, C. M. Sanders1, J. T. Ostien1

    CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.3, pp. 309-342, 2018, DOI:10.31614/cmes.2018.04285

    Abstract We use machine learning (ML) to infer stress and plastic flow rules using data from representative polycrystalline simulations. In particular, we use so-called deep (multilayer) neural networks (NN) to represent the two response functions. The ML process does not choose appropriate inputs or outputs, rather it is trained on selected inputs and output. Likewise, its discrimination of features is crucially connected to the chosen inputoutput map. Hence, we draw upon classical constitutive modeling to select inputs and enforce well-accepted symmetries and other properties. In the context of the results of numerous simulations, we discuss the More >

  • Open Access

    ARTICLE

    Modeling and Control Strategy of Built-in Skin Effect Electric Tracing System

    Li Ding1, Jiasheng Zhang,1,2, Hongchang Sun3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.117, No.2, pp. 213-229, 2018, DOI:10.31614/cmes.2018.03981

    Abstract In order to ensure the safety of fluid flow in deep-water submarine pipelines, a safe and energy-saving built-in skin effect electric heat tracing technology was adopted as the thermal management strategy. The magnetic field distribution of built-in skin effect heating system is analyzed based on the mechanism of built-in skin effect heating system, so as to obtain the equivalent circuit model of built-in skin effect electric heating system. Meanwhile, heating power is introduced as an intermediate variable to establish the relationship between power supply frequency and built-in skin effect heating temperature. Aiming at the skin… More >

  • Open Access

    ARTICLE

    Modeling and Simulation of Human Cornea for the Measurement of Intraocular Pressure (IOP) through Eyelid

    Mahesh B. Mawale1, Abhaykumar Kuthe2, Padma G. Pawane3, Sandeep W. Dahake2

    CMES-Computer Modeling in Engineering & Sciences, Vol.114, No.2, pp. 173-189, 2018, DOI:10.3970/cmes.2018.114.173

    Abstract This article describes a study based on the use of an instrumented form of applanation and indentation tonometry through eyelid. The methods and devices which are available for the measurement of intraocular pressure (IOP) have their own limitations. These cause discomfort to the patients during IOP measurement. Also these methods, used to measure IOP over cornea, need anesthesia. In the present work, an attempt is made to develop a device for the measurement of IOP through eyelid which eliminates the need of anesthesia and enhance the patient’s comfort and convenience of the clinician. To represent More >

  • Open Access

    ARTICLE

    MODELING OF MICRO/NANO CHANNEL FLOWS

    Yongbin Zhang*

    Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-7, 2017, DOI:10.5098/hmt.8.19

    Abstract This paper reviews the models for the fluid flow in micro/nano channels developed previously. These models include the full MDS (molecular dynamics simulation) model, the quasi-continuum model, the modified Navier-Stokes equation model, the dissipative particle dynamics method, the lattice Boltzman method, the multiscale hybrid model and the flow factor approach model. It was pointed out that most of the models have their own imperfections like huge time and computer storage consumption for simulating a system of realistic size or inaccuracy because of the model limitation. It was also mentioned that the most challenging is to More >

  • Open Access

    ARTICLE

    MODELING OF FREE CONVECTION HEAT TRANSFER UTILIZING NANOFLUID INSIDE A WAVY ENCLOSURE WITH A PAIR OF HOT AND COLD CYLINDERS

    Zoubair Boulahia* , Abderrahim Wakif, Rachid Sehaqui

    Frontiers in Heat and Mass Transfer, Vol.8, pp. 1-10, 2017, DOI:10.5098/hmt.8.14

    Abstract In the present work, natural convection heat transfer of Cu-water nanofluid inside a wavy wall enclosure is investigated numerically by using the finite volume discretization method. The study examines the effect of the nanoparticle volume fraction, the Rayleigh number, the wave amplitude, and the undulations number on the heat transfer rate. The results show that the heat transfer rate inside the wavy enclosure enhances by decreasing the wavy surface amplitude and increasing undulations number. It is also found that by increasing the volume fraction of nanoparticles and Rayleigh number, the heat transfer rate increases. More >

  • Open Access

    ARTICLE

    Cardiac remodeling in preterm infants with prolonged exposure to a patent ductus arteriosus

    Koert de Waal1, Nilkant Phad1, Nick Collins2, Andrew Boyle2

    Congenital Heart Disease, Vol.12, No.3, pp. 364-372, 2017, DOI:10.1111/chd.12454

    Abstract Background: Sustained volume load due to a patent ductus arteriosus (PDA) leads to cardiac remodeling. Remodeling changes can become pathological and are associated with cardiovascular disease progression. Data on remodeling changes in preterm infants is not available.
    Methods: Clinical and echocardiography data were collected in preterm infants <30 weeks gestation on postnatal day 3 and then every 7–14 days until closure of the ductus arteriosus. Images were analyzed using conventional techniques and speckle tracking. Remodeling changes of infants with prolonged (>14 days) exposure to a PDA were compared to control infants without a PDA.
    Results: Thirty out of… More >

  • Open Access

    ARTICLE

    Comparison of Right Ventricle Morphological and Mechanical Characteristics for Healthy and Patients with Tetralogy of Fallot: An In Vivo MRI-Based Modeling Study

    Dalin Tang1,*,2, Heng Zuo2,*, Chun Yang2, Zheyang Wu2, Xueying Huang3, Rahul H. Rathod4, Alexander Tang4, Kristen L. Billiar5, Tal Geva4

    Molecular & Cellular Biomechanics, Vol.14, No.3, pp. 137-151, 2017, DOI:10.3970/mcb.2017.014.137

    Abstract Patients with repaired tetralogy of Fallot (TOF) account for the majority of cases with late onset right ventricle failure. Comparing TOF patients with healthy people may provide information to address this challenge. Cardiac magnetic resonance (CMR) data were obtained from 16 TOF patients (patient group, PG) and 6 healthy volunteers (healthy group, HG). At begin-of-ejection, better patient group (n=5, BPG) stress was very close to HG stress (54.7±38.4 kPa vs. 51.2±55.7 kPa, p=0.6889) while worse patient group (n=11, WPG) stress was 84% higher than HG stress (p=0.0418). Stress may be used as an indicator to differentiate More >

  • Open Access

    ARTICLE

    Modeling and Analysis of Novel Multilevel Inverter Topology with Minimum Number of Switching Components

    V. Thiyagarajan1, P. Somasundaram2

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.4, pp. 461-473, 2017, DOI:10.3970/cmes.2017.113.461

    Abstract This paper proposes a novel single phase symmetrical and asymmetrical type extendable multilevel inverter topology with minimum number of switches. The basic circuit of the proposed inverter topology consist of four dc voltage sources and 10 main switches which synthesize 9-level output voltage during symmetrical operation and 17-level output voltage during asymmetrical operation. The comparison between the proposed topology with conventional and other existing inverter topologies is presented in this paper. The advantages of the proposed inverter topology includes minimum switches, less harmonic distortion and minimum switching losses. The performance of the proposed multilevel inverter More >

  • Open Access

    ARTICLE

    Soil Microbial Dynamics Modeling in Fluctuating Ecological Situations by Using Subtractive Clustering and Fuzzy Rule-Based Inference Systems

    Sunil Kr. Jha1, Zulfiqar Ahmad2

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.4, pp. 443-459, 2017, DOI:10.3970/cmes.2017.113.443

    Abstract Microbial population and enzyme activities are the significant indicators of soil strength. Soil microbial dynamics characterize microbial population and enzyme activities. The present study explores the development of efficient predictive modeling systems for the estimation of specific soil microbial dynamics, like rock phosphate solubilization, bacterial population, and ACC-deaminase activity. More specifically, optimized subtractive clustering (SC) and Wang and Mendel's (WM) fuzzy inference systems (FIS) have been implemented with the objective to achieve the best estimation accuracy of microbial dynamics. Experimental measurements were performed using controlled pot experiment using minimal salt media with rock phosphate as More >

  • Open Access

    ARTICLE

    Modeling of Canonical Switching Cell Converter Using Genetic Algorithm

    T. V. Viknesh1, V. Manik,an

    CMES-Computer Modeling in Engineering & Sciences, Vol.113, No.1, pp. 109-116, 2017, DOI:10.3970/cmes.2017.113.107

    Abstract The working of Canonical switching cell (CSC) converter was studied and its equivalent circuit during ON and OFF states were obtained. State space model of CSC converter in ON and OFF states were developed using the Kirchhoff laws. The state space matrices were used to construct the transfer functions of ON & OFF states. The step response of the converter was simulated using MATLAB. The step response curve was obtained using different values of circuit components (L, C1, C2 and RL)and optimized. The characteristic parameters such as rise time, overshoot, settling time, steady state error… More >

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