C-TECH LABSEDWAR TECHNOLOGY

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Principle of ECVT

ECVT system consists of sensor system, data ac-quisition system and computer system for control,

image reconstruction and display

STEP 2: Reconstructing 3D permittivity distribution. Principles of Electrical Capacitance Volume Tomog-

raphy (ECVT) comprises two steps: 1. Measuring capacitance between a pair of capacitive electrodes

arranged in such a way to enclose a 3D sensing domain; 2. Reconstructing volumetric permittivity

distribution within the 3D sensing domain from the measured capacitance using a certain algorithm.

STEP 1: Capacitance measurement

PATENTS: US PTO 6577700 (Warsito & Fan, 2003); PCT, WO 2006/102388 (Warsito et al.,2006)

The principles of ECVT utilizes soft field nature of the so-called ’fringing effect’ of electric field that distrib-utes in 3-dimensional space. The fringing effect con-

tains valuable information that can be extracted using soft-computing algorithm for imaging purposes with

the low level energy source.

E

+V

−V

∫Ω∂

ΓΔ

⋅= d

VC nE ˆε

A snapshot of 3D bubble in gas-solid reactor by ECVT compared to X-Ray photograph

Utilizing our patented neural-network opti-mization technique, Electrical Capacitance Volume-Tomography (ECVT) generates accu-rate real-time 3-dimensional (4-dimensional) permittivity distribution of multiphase flow systems.

ECVT post-processing software further devel-ops and converts the permittivity distribution into individual phase concentration distribu-tions. The software also provides features to compute real time 3-D (4-D) velocity profiles of individual phases.

The 4-D concentration and velocity profiles are useful to study transient phenomena of multiphase flow systems. ECVT provides real data of the flow system previously obtained from simulation using computed fluid dynam-ic (CFD) codes. ECVT is capable of scanning the whole reactor vessel consisting different part with arbitrary shapes of geometries for different applications including pipe bend, T-junction, cone etc.

ECVT post-processing software provide volumetric permittivity and concentration distributions and real time 3-D (4-D) velocity

profiles of individual phases.

Real time volumetric imaging of gas-solids fluidized beds using ECVT

C-TECH LABSEDWAR TECHNOLOGY

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ECVT Software Outputs

With the advances of the latest supercomputer technol-ogy, high performance computing (HPC) presented op-portunities to develop predictive science and engineering. Closely coupled experiments and simulations of combustion processes have already had a major impact on the efficiency of extant combustion motors, from reciprocating engines to turbines in aerospace and automobile industries. Under current Edisonian cut-and-try methodology, design cycles and market penetration of new engine technologies simply takes too long. HPC simulations of airframes and jet tur-bines have reduced reliance on expensive experimental test benches, and increased reliance on fully coupled combus-tion hydrodynamic and structural mechanics codes, both for high fidelity direct numerical simulations and for reduced order engineering design calculations (Report on Exscale Computing 2010, US Office of Science). As the United State (US) federal government mandated 80% reduction of greenhouse gas emissions by 2050 and the 25% reduction in petroleum usage by 2020, access to HPC simulations of combustion will have an even bigger impact on the energy

industry, since over 85% of the world‘s energy is generated by burning fossil fuel. HPC simulation also helps increase the fraction of power generated by carbon-free power plants that evolve fuels, adding another layer of complexity and further underscoring the need for efficient product devel-opment cycles. CFD modeling and simulation has evolved from the megaflop era of the late 1970s to the present era of petaflop computing. Further advancement of modeling and simulation methodology promises a transformation of the role of the computing technique in science and engineer-ing, turning computing into a true science-based predictive discipline.

ECVT, with its capability of high-speed volumetric imaging with arbitrary shapes of vessel geometries, that generates physical parameters which are to date only available with HPC simulation, helps verifying peta to exascale comput-ing codes, making the simulation results real and reducing significantly the needs of hardware and software investment costs.

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ECVT Helps Verifying Exascale CFD Modeling and Simulation

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TOP: ECVT generates in high speed volumetric images of multiphase flow systems and other fluid dynamic physical aspects using arbitrary shapes of vessel geometries, that are to date only avail-

able with HPC simulation. The ECVT turns the supercomputing simulation into real science-based predictive results.

TOP LEFT: 128 CH ECVT System combined with 1.2 teraflop computer machine for real-time volumetric (4D) imaging of large scale multiphase reactors.

RIGHT: Report on Exscale Computing (2010) by the Advanced Scientific Computing Advisory

Committee (ASCAC) Subcommittee, US Office of Science, Department of Energy. The report

submitted recommendations to US government to proceed expeditiously to execute an exascale

computing initiative.

C-TECH LABSEDWAR TECHNOLOGY

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ECVT at World Level Researches

ECVT Helping World Level Researches at The Ohio State University, NASA & NETL (US DOE)ECVT has been developed earlier at the Ohio State Univer-sity in Professor Liang Shieh Fan multiphase reactor engi-neering laboratory , and partly in CTECH Labs, Indonesia between 2003—2006. The technique has largely helped studies of multiphase flow phenomena in chemical reactors for oil refineries, powder processing and other applications in the Ohio State University and Morgantown National Energy Technology Laboratory, West Virginia owned by US Department Energy NASA uses ECVT for research on development of dielectric material imaging in space shut-tle experiments in Florida Kennedy Space Center and for zero-gravity fuel gauging in Goddard Space Flight Center, Maryland.

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ECVT Industrial Applications

ECVT Supports Development of Next-Generation Power Plants: US DoE Project on Advanced Research Projects: “Fluid bed characterization using Elec-trical Capacitance Volume Tomography (ECVT), compared to CPFD Software’s Barracuda; Powder Technology (2013); Justin M. Weber et.al., U.S. Department of Energy, 3610 Collins Ferry Road, Morgantown, West Virginia 26507-0880 USA

ECVT has been widely used for real time volumetric imaging of gas-liquid, gas-solid fluidized beds, and gas-liquid-solid three-phase systems including: • Drying • Wetting • Solids handling • Pneumatic conveyor • Oil pipelines • Fluidization system • Mixing processes • Powder processing The hardware system is then further implemented to develop the first 128-channel data acquisition system that will augment the capability of ECVT for multiphase flow imaging and exascale supercomputer CFD computation.

ECVT  (Real)  

Supercomputer  simula6on  (by  BP  Research)  

Jl. Jalur Sutera, Kavling spectra - Blok 23 BC, no 10 - 12 Alam Sutera, Tangerang Indonesia 15325Telp. +62 21 293 15015 | Fax. +62 21 293 14861email: info@c-techlabs.comwww.c-techlabs.com

ModelPart#Doc.Rev.1.0

Case DetailsDimensionWeightPower SupplyPower Consuption

Panel Connector and IndicatorSensor InterfaceSwitch IndicatorLED IndicatorPC InterfacePower Input

Measurement DetailsExcitation SignalDynamic RangeResolutionSensitivityAccuracyNoise LevelPrecisionSignal-to-Noise RatioDrift-StabilityDate RateBaud RateWorking Channel ModeADCWarming Up Time

: ECVT DAS: 312801

: 400 x 300 x 200mm (exclude handle): 5kg: 100 - 240V AC: 50Hz: 50W

: 32 x 4 (128 total) BNC (front): Supply On (front): Data Processing (front): USB Serial (rear): C13/C14 Coupler (rear)

: 16.8 Vpp sine-wave; 2.5 Mhz: 0 - 10 pF: 0.18 fF: 380 mV/pF: 98.45% (1.55% mean absolute error): 0.26%: 12.32 fF: 57.51 dB: 1.96 mV (4.7 fF) per hour @25 degree celsius: 0.3 fps @128-ch 115200-bps: 115200, 230400, 460800, 921600 bps: 24.32.64.128-ch: 16-bit: 10 minutes

Hardware System Specifications

Software

C-TECH LABSEDWAR TECHNOLOGY

Image Reconstruction

Post-Processing Features

Copyright by CTech Labs Edwar Technology, 2015

ECVT Image Reconstruction Software based on NN-MOIRT & ILBP algorithm running on Phytom 2.7

Real time 3D volume image/movie (4D image); various choices of 3D volume visualization based on Phyton #D Graphic finction; recontructed im-age evaluation using root mean square error analy-sis, possible of online #D measurement with small number of electrodes up to 12 channels with lower resolution