• Title/Summary/Keyword: Temperature Accuracy

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The Measurement of Soot Particle Temperatures Using a Ratio Pyrometry (Ratio Pyrometry를 이용한 매연입자 온도 계측에 대한 고찰)

  • Nam, Youn-Woo;Lee, Won-Nam;Lee, Chun-Beom
    • 한국연소학회:학술대회논문집
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    • 2004.11a
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    • pp.124-129
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    • 2004
  • The ratio pyrometry has been investigated experimentally for the measurement of soot particle temperatures in a diffusion flame. A tungsten lamp calibration system was constructed and used in order to calibrate the ratio pyrometry and two-color pyrometry using a KL-factor method. Once the ratio pyrometry is properly calibrated, temperatures measured using a ratio pyrometry were virtually identical to those obtained from a KL-factor method. The effect of soot volume fraction on temperature measurement was almost negligible, and therefore, the ratio pyrometry could provide the useful temperature information of sooting flames. The potential application of a ratio pyrometry to a 2-D temperature measurement without sacrificing the accuracy was demonstrated.

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Discharging/Charging Voltage-Temperature Pattern Recognition for Improved SOC/Capacity Estimation and SOH Prediction at Various Temperatures

  • Kim, Jong-Hoon;Lee, Seong-Jun;Cho, Bo-Hyung
    • Journal of Power Electronics
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    • v.12 no.1
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    • pp.1-9
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    • 2012
  • This study investigates an application of the Hamming network-dual extended Kalman filter (DEKF) based on pattern recognition for high accuracy state-of-charge (SOC)/capacity estimation and state-of-health (SOH) prediction at various temperatures. The averaged nine discharging/charging voltage-temperature (DCVT) patterns for ten fresh Li-Ion cells at experimental temperatures are measured as representative patterns, together with cell model parameters. Through statistical analysis, the Hamming network is applied to identify the representative pattern that matches most closely with the pattern of an arbitrary cell measured at any temperature. Based on temperature-checking process, model parameters for a representative DCVT pattern can then be applied to estimate SOC/capacity and to predict SOH of an arbitrary cell using the DEKF. This avoids the need for repeated parameter measuremet.

Implementation of the Burst Mode Fiber Optic Transmitter by Digital Temperature Compensation Architecture (디지털 온도보상에 의한 버스트 모드 광송신기의 구현)

  • Kang, Ho-Yong;Chai, Sang-Hoon
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.8
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    • pp.12-17
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    • 2009
  • We have implement어 a bust mode optical transmitter using digital temperature compensation architecture with a microprocessor. Instead of previous analog real time technique, we used digital sampling and holding technique for the temperature compensation in order to get stable high speed data transmission of the laser diode. This digital temperature compensation technique should be complemented the previous analog method with accuracy and effectiveness in the over Gb/s transmitting application.

The thermal effect on electrical capacitance sensor for two-phase flow monitoring

  • Altabey, Wael A.
    • Structural Monitoring and Maintenance
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    • v.3 no.4
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    • pp.335-347
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    • 2016
  • One of major errors in flow rate measurement for two-phase flow using an Electrical Capacitance Sensor (ECS) concerns sensor sensitivity under temperature raise. The thermal effect on electrical capacitance sensor (ECS) system for air-water two-phase flow monitoring include sensor sensitivity, capacitance measurements, capacitance change and node potential distribution is reported in this paper. The rules of 12-electrode sensor parameters such as capacitance, capacitance change, and change rate of capacitance and sensitivity map the basis of Air-water two-phase flow permittivity distribution and temperature raise are discussed by ANSYS and MATLAB, which are combined to simulate sensor characteristic. The cross-sectional void fraction as a function of temperature is determined from the scripting capabilities in ANSYS simulation. The results show that the temperature raise had a detrimental effect on the electrodes sensitivity and sensitive domain of electrodes. The FE results are in excellent agreement with an experimental result available in the literature, thus validating the accuracy and reliability of the proposed flow rate measurement system.

Optimal Control of Injection Molding Process by Using temperature Sensor (캐비티 온도센서를 이용한 최적 사출공정 제어)

  • Park, Cheon-Soo;Kang, Chul-Min
    • Design & Manufacturing
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    • v.2 no.5
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    • pp.30-33
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    • 2008
  • Injection Molding is the most effective process for mass production of plastic parts. The injection molding process is composed with several steps such as Filling, Packing, Holding, Cooling, Ejecting. Among them, filling and packing process should be considered carefully to improve accuracy of dimension, surface quality of plastic parts. Usually the quality above-mentioned is managed with weight of part after molding on the field. In this paper, a series of experiment for molding automotive front bumper was conducted with cavitity temperature sensor to optimize switch-over time(V-P switching), hot runner vale gate sequence time during filling and packing step for the purpose of uniform quality, weight at every molding. As a result, it was found that it is effective method to use temperature sensor in injection molding for quality control of plastic molding.

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Mechanical Properties of Aluminium Alloy with Cellular Structure. (미세기공 알루미늄 소재의 기계적 성질)

  • 윤성원;이승후;강충길
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.695-698
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    • 2002
  • Induction heating process is one of the most efficient heating process in terms of temperature control accuracy and heating time saving. In the past study, fabrication process of cellular 6061 alloys by powder metallurgical route and induction heating process was studied. To supplement the framing conditions that studied in past study, effect of induction heating capacity and holding time at foaming temperature were investigated. Under the achieved framing conditions, teamed 6061 alloys were fabricated for variation of foaming temperature, and porosities(%)-foaming temperature curves were obtained by try-error experimental method. Uniaxial compression tests were performed to investigate the relationship between porosities(%) and stress-strain curves of framed 6061 alloy. Also, energy absorption capacity and efficiency were calculated from stress-strain curves to investigated. Moreover, dependence of plateau stress on strain rate was investigated in case of cellular 6061 alloy with low porosities(%)

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Research on the Inverse Heat Conduction Problem for Thermal Analysis of a Large LPG Engine Piston (대형 LPG 엔진 피스톤의 온도 분포 해석을 위한 열전도 역문제에 관한 연구)

  • 이부윤;박철우;최경호
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.11
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    • pp.146-159
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    • 2002
  • An efficient method to predict the convection heat transfer coefficients on the top surface of the engine piston is proposed. The method is based on the inverse method of the thermal conduction problem and uses a numerical optimization technique. In the method, the heat transfer coefficients are numerically obtained so that the difference between analyzed temperatures from the finite element method and measured temperatures is minimized. The method can be effectively used to analyze the temperature distribution of engine pistons in case when application of prescribed-temperature boundary condition is not reasonable because of insufficient number of measured temperatures. A hollow sphere problem with an analytic solution is taken as a simple example and accuracy and efficiency is demonstrated. The method is applied to a practical large liquid petroleum gas(LPG) engine piston and the heat transfer coefficients on the top surface of the piston is successfully calculated. Resulting analyzed temperature favorably coincides with measured temperature.

Fault Diagnosis and Recovery of a Thermal Error Compensation System in a CNC Machine Tool (CNC 공작기계에서 열변형 오차 보정 시스템의 고장진단 및 복구)

  • 황석현;이진현;양승한
    • Journal of the Korean Society for Precision Engineering
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    • v.17 no.4
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    • pp.135-141
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    • 2000
  • The major role of temperature sensors in thermal error compensation system of machine tools is improving machining accuracy by supplying reliable temperature data on the machine structure. This paper presents a new method for fault diagnosis of temperature sensors and recovery of faulted data to establish the reliability of thermal error compensation system. The detection of fault and its location is based on the correlation coefficients among temperature data from the sensors. The multiple linear regression model which is prepared using complete normal data is also used fur the recovery of faulted data. The effectiveness of this method was tested by comparing the computer simulation results and measured data in a CNC machining center.

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Electrical Properties of Temperature Coefficient of Resistance and Heat Radiation Structure Design for Shunt Fixed Resistor (저항 온도계수와 방열 구조설계에 따른 션트 고정 저항의 전기적 특성)

  • Kim, Eun Min;Kim, Hyeon Chang;Lee, Sunwoo
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.31 no.2
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    • pp.107-111
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    • 2018
  • In this study, we designed the temperature coefficient of resistance (TCR) and heat radiation properties of shunt fixed resistors by adjusting the atomic composition of a metal alloy resistor, and fabricated a resistor that satisfied the designed properties. Resistors with similar atomic composition of copper and nickel showed low TCR and excellent shunt fixed resistor properties such as short-time overload, rated load, humidity load, and high temperature load. Finally, we expect that improved sensor accuracy will be obtained in current-distribution-type shunt fixed resistor for IoT sensors by designing the atomic composition of the metal alloy resistor proposed in this work.

A Stochastic Pplanning Method for Semand-side Management Program based on Load Forecasting with the Volatility of Temperature (온도변동성을 고려한 전력수요예측 기반의 확률론적 수요관리량 추정 방법)

  • Wi, Young-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.6
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    • pp.852-856
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    • 2015
  • Demand side management (DSM) program has been frequently used for reducing the system peak load because it gives utilities and independent system operator (ISO) a convenient way to control and change amount of electric usage of end-use customer. Planning and operating methods are needed to efficiently manage a DSM program. This paper presents a planning method for DSM program. A planning method for DSM program should include an electric load forecasting, because this is the most important factor in determining how much to reduce electric load. In this paper, load forecasting with the temperature stochastic modeling and the sensitivity to temperature of the electric load is used for improving load forecasting accuracy. The proposed planning method can also estimate the required day, hour and total capacity of DSM program using Monte-Carlo simulation. The results of case studies are presented to show the effectiveness of the proposed planning method.