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Analysis of Heat Treatment Process Conditions for Output Characteristics of Permalloy Core on Current Sensors using DOE 원문보기

한국기계가공학회지 = Journal of the Korean Society of Manufacturing Process Engineers, v.19 no.4, 2020년, pp.16 - 23  

김영신 (공주대학교 생산기술연구소) ,  김윤상 ((주)비전테크놀러지 센터) ,  전의식 (공주대학교 기계자동차공학부)

Abstract AI-Helper 아이콘AI-Helper

An electric vehicle operates at high currents and requires real-time monitoring of the entire system for ensuring efficiency and safety of the vehicle. Current sensors are applied to drive the motors, inverters, and battery control systems, and are the key components to ensure constant monitoring of...

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제안 방법

  • A specimen was prepared from the iron core, and a circuit diagram was constructed to measure the electrical output characteristics through the excitation characteristics of the specimen. The electrical properties were measured by applying a magnetic field to the primary side to excite the material, and the material was wound to measure the voltage induced on the secondary side according to the applied current.
  • Key process variables, such as the maintained temperature, retention time, and hydrogen concentration during annealing, were set. After performing the basic experiments on the process conditions for the high-temperature annealing process, including the maintained temperature, amount of hydrogen, and belt speed, and on the process conditions for the low-temperature heat treatment ordering, including the maintained temperature, amount of hydrogen, and belt speed, three process variables that have significant impacts on the experimental results were selected.
  • Based on the results obtained through DOE factorial regression, response optimization was used to derive the conditions: belt speed of 15 mm/min and hydrogen input of 3,000 Nl /h for the high-temperature heat treatment (annealing); and a temperature of 475 °C for the low-temperature heat treatment (ordering).
  • Moreover, the optimal conditions were derived to determine the condition to minimize the error rate. Finally, further experiments were conducted to validate the results.
  • Further experiments were conducted to verify the validity of the derived conditions. The estimated and experimental values were compared using the optimal process conditions derived above.
  • The over-leakage characteristic refers to the degree to which the characteristic varies after a large current is applied to the product. In this study, the DC current was applied to the material to saturate the material, and the output change of the sensor due to the residual magnetic flux density was measured for the analysis of the over-leakage characteristics. The difference was calculated as a percentage by comparing the measured value upon application of the overvoltage of 10 A to the sample for 1 min through the DC power supply, and the measured value at room temperature.
  • During the hydrogen reduction heat treatment, when the temperature increased beyond 1,000 , reduction reactions occurred with hydrogen and other impurities, such as oxygen, carbon, and sulfur in the material, thereby eliminating the impurities in the material more effectively. In this study, the annealing temperature was set to 1,100 , and the reduction heat treatment conditions were adjusted by varying the amount of hydrogen introduced into the furnace. The test specimens were fabricated using high-speed presses with 0.
  • In this study, the temperature characteristics and over-leakage characteristics of the Permalloy cores were investigated according to heat treatment conditions to stabilize the output characteristics of the current sensor, and the optimization of the process variables for characteristic values was conducted. To confirm the correlation of the output characteristics according to the heat treatment conditions, the effects of each factor were confirmed through the DOE using the high-temperature and low-temperature heat treatment conditions as the process variables.
  • Table 2 presents the measurement results based on the amount of hydrogen and speed during the high-temperature heat treatment, and temperature conditions during the low-temperature heat treatment. It presents the measurement results of the low-temperature characteristics, high-temperature characteristics, and over-leakage characteristics according to the process condition based on the results of the 40 experiments.
  • The high-temperature characteristic is a percentage representing the difference between the voltage measured at the set temperature of 70 °C and that at room temperature. It was analyzed to confirm the stability of the output sensor at high temperatures. The test results confirmed the factors affecting the high-temperature characteristics through variance analysis.
  • The low-temperature characteristic is a percentage representing the difference between the voltage measured at the set temperature of –20 °C and the measured voltage at room temperature. It was analyzed to confirm the stability of the output sensor at low temperatures. The test results confirmed the factors affecting the low-temperature characteristics through variance analysis.
  • For the hydrogen reduction heat treatment of Permalloy material, high-temperature heat treatment was performed, followed by low-temperature heat treatment. Key process variables, such as the maintained temperature, retention time, and hydrogen concentration during annealing, were set. After performing the basic experiments on the process conditions for the high-temperature annealing process, including the maintained temperature, amount of hydrogen, and belt speed, and on the process conditions for the low-temperature heat treatment ordering, including the maintained temperature, amount of hydrogen, and belt speed, three process variables that have significant impacts on the experimental results were selected.
  • To confirm the correlation of the output characteristics according to the heat treatment conditions, the effects of each factor were confirmed through the DOE using the high-temperature and low-temperature heat treatment conditions as the process variables. Specimen fabrication and output characteristic tests were performed according to the Permalloy core hydrogen reduction heat treatment process variables. It was confirmed that the temperature in the furnace during the low-temperature heat treatment was the main factor affecting the characteristic value.
  • The factorial design of DOE was used to apply the process variables, such as belt speed, hydrogen concentration, and low temperature, in the low-temperature heat treatment process [10-12]. The experiments were repeated to establish 40 types of experimental plans.
  • The test specimens were fabricated using high-speed presses with 0.1T 22.2×19.9×5 thread core specimens to analyze the output characteristics depending on the heat treatment molding conditions, using the hydrogen reduction heat treatment machine by producing ring-type core specimens.
  • Therefore, in this study, a heat treatment process condition to influence the performance of Permalloy current sensors was developed; the correlation between the output capacity, low-temperature characteristics, and high-temperature characteristics of the current sensor was studied; and the process was optimized to meet the required output accuracy and temperature characteristics.
  • In this study, the temperature characteristics and over-leakage characteristics of the Permalloy cores were investigated according to heat treatment conditions to stabilize the output characteristics of the current sensor, and the optimization of the process variables for characteristic values was conducted. To confirm the correlation of the output characteristics according to the heat treatment conditions, the effects of each factor were confirmed through the DOE using the high-temperature and low-temperature heat treatment conditions as the process variables. Specimen fabrication and output characteristic tests were performed according to the Permalloy core hydrogen reduction heat treatment process variables.

대상 데이터

  • The material used in this study was Permalloy (ASTM A753 Alloy Type 4), and heat treatment was performed on it to eliminate the residual stress caused by the rolling and manufacturing process employed for the steel sheet. During the hydrogen reduction heat treatment, when the temperature increased beyond 1,000 , reduction reactions occurred with hydrogen and other impurities, such as oxygen, carbon, and sulfur in the material, thereby eliminating the impurities in the material more effectively.

데이터처리

  • It was analyzed to confirm the stability of the output sensor at high temperatures. The test results confirmed the factors affecting the high-temperature characteristics through variance analysis. Table 4 presents the ANOVA results, and Figure 2 depicts the main effect plot of the high-temperature properties.
  • It was analyzed to confirm the stability of the output sensor at low temperatures. The test results confirmed the factors affecting the low-temperature characteristics through variance analysis. The most influential factor on the low-temperature characteristics was found to be the temperature condition during the low-temperature heat treatment process.
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참고문헌 (12)

  1. Zhang, C., Yang, F., Ke, X., Liu, Z. and Yuan, C., "Predictive modeling of energy consumption and greenhouse gas emissions from autonomous electric vehicle operations," Applied Energy, Vol. 38, 2019. 

  2. Naumanen, M., Uusitalo, T., Huttunen-Saarivirta, E. and van der Have., R., "Development strategies for heavy duty electric battery vehicles: Comparison between China, EU, Japan and USA. Resources," Conservation and Recycling, Vol. 151, 2019. 

  3. Uddin, K., Moore, A. D., Barai, A. and Marco, J., "The effects of high frequency current ripple on electric vehicle battery performance," Applied Energy, Vol. 178, pp. 142-154, 2016. 

  4. Lyu, Y., Siddique, A. R. M., Majid, S. H., Biglarbegian, M., Gadsden, S. A. and Mahmud, S., "Electric vehicle battery thermal management system with thermoelectric cooling," Energy Reports, Vol. 5, pp. 822-827, 2019. 

  5. Osberger, L., Frick, V. and Hebrard, L., "High resolution shallow vertical Hall sensor operated with four-phase bi-current spinning current," Sensors and Actuators A: Physical, Vol. 244, pp. 270-276, 2016. 

  6. Yatchev, I., Sen, M., Balabozov, I. and Kostov, I., "Modelling of a Hall effect-based current sensor with an open core magnetic concentrator," Sensors, Vol. 18, No. 4, pp. 1260, 2018. 

  7. Girgin, A., Bilmez, M., Amin, H. Y. and Karalar, T. C., "A silicon Hall sensor SoC for current sensors," Microelectronics Journal, Vol. 90, pp. 12-18, 2019. 

  8. Yeon, K., Kim, S. and Son, D., "Construction of Current Sensor Using Hall Sensor and Magnetic Core for the Electric and Hybrid Vehicle," Journal of the Korean Magnetics Society, Vol. 23, No. 2, pp. 49-53, 2016. 

  9. Lei, J., Lei, C. and Zhou, Y., "Analysis and comparison of the performance of MEMS fluxgate sensors with permalloy magnetic cores of different structures," Measurement, Vol. 46, No. 1, pp. 710-715, 2013. 

  10. HoBler, D. and Ernst, M., "Optimization of a TiSi2 formation based on PECVD Ti using DoE methodology," Solid-State Electronics, Vol. 158. pp. 51-58, 2019. 

  11. Yongfan, L., Shuai, Z. and Jing. W., "Research on the Optimization Design of Motorcycle Engine Based on DOE Methodology," Procedia Engineering, Vol. 174, pp. 740-747, 2017. 

  12. Lee, C., Sa, M. and Kim. J., "Fabrication of 3D Bioceramic Scaffolds using Laser Sintering Deposition System and Design of Experiment," Journal of the Korean Society of Manufacturing Process Engineers, Vol. 18, No. 12, pp. 59-66, 2019. 

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