• Title/Summary/Keyword: Reheating

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Manufacturing Conditions for Rice Porridge with Optimum Properties after Microwave Range Reheating (마이크로웨이브 레인지 재가열 후 최적 특성을 갖는 쌀죽 제조조건)

  • Park, Hye-Young;Kim, Hyun-Joo;Sim, Eun-Yeong;Kwak, Jieun;Chun, Areum;Jo, Youngje;Woo, Koan Sik;Kim, Mi Jung
    • The Korean Journal of Food And Nutrition
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    • v.33 no.4
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    • pp.440-446
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    • 2020
  • The purpose of this study was to derive the conditions for manufacturing rice porridge with optimum properties after reheating. The characteristics of rice porridge according to the soaking time, water addition rate, heating temperature, heating time, and cooling conditions were compared using the 'Samkwang' cultivar. In Step I, as the heating temperature increased, the weight change decreased and the viscosity increased, and the temperature known as the main factor of the gelatinization also appeared to affect the viscosity increase. In Step II, the viscosity and the texture properties was not significantly different as the soaking time was reduced, and 10 minutes was suitable because of due to the shortening effect of the total process time. In Step III, the residual heat was lowered by cooling after the rice porridge production, so the viscosity could be greatly reduced. Also, it was confirmed that the water addition rate of 900% and the heating temperature of 15 minutes were optimal manufacturing conditions. The next study will investigate the porridge processability of rice cultivars using these results.

Behavior of Macrosegregation and Precipitation Developed in Semi-continuously Cast Large Bloom (반연속주조된 대형 블룸에서 발생하는 거시편석 및 석출물 거동)

  • Kim, Hyeju;Lee, Hyoungrok;Kim, Kyeong-A;Lee, Joodong;Oh, Kyung-sik;Kwon, Sang-Hum;Kim, Donggyu
    • Journal of Korea Foundry Society
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    • v.39 no.1
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    • pp.7-13
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    • 2019
  • Few studies of large blooms over 700 mm thick among those used for the forging of raw materials have been reported. The cooling rate difference between the surface and the center of a large bloom is large, and the degradation of the mechanical properties is likely in cases involving excessively coarse precipitates resulted from the slow cooling rate of a large bloom after casting. Therefore, a schematic investigation of the growth behaviors of precipitates while varying their locations in blooms is necessary. The dissolution behaviors of precipitates were investigated by simulating a reheating process during which the bloom is heated to a high temperature. The segregation behavior of the as-cast large bloom was also investigated. Reheating specimens were obtained after an isothermal heat treatment at $1150^{\circ}C$ with various holding times to simulate the reheating process, with the samples undergoing a subsequent water quenching step. The precipitates were extracted using an electrolytic extractor and a particle size analysis was conducted with the aid of SEM, EDS, and TEM. In the present work, Al oxide, MnS and Nb carbide were mainly observed.

The Comparative Analysis of Numerical and Experimental Results for Prediction of Workpiece Temperature in the Commercial Reheating Furnace (상용급 재가열로에서 소재 온도 예측을 위한 해석과 실험 결과의 비교 분석)

  • Lee, Chunsik;Lee, Jae Yong;Ryu, BoHyun;Rhim, DongRyul
    • Journal of the Korean Institute of Gas
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    • v.23 no.4
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    • pp.74-79
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    • 2019
  • Specially designed test material was used for workpiece temperature measurement in the commercial reheating furnace and a linearized thermal model was applied for real time temperature prediction. The applied furnace is a walking beam type and specification of the workpiece is a STS302 which is 160mm in width, 160mm in height and 8100mm in length. Also six thermocouples were installed in width, height and length direction for temperature measurement. Ambient temperature in the furnace was raised to 1265 Celsius degrees and it took about 2.5 hours from loading to discharging of the workpiece. As a result of the experiment, temperature of the workpiece at discharge was 1257 Celsius degrees on the average in the range of 1256 to 1259 Celsius degrees, and predicted average temperature through the thermal model was 1251 Celsius degrees. Therefore, the deviation of the analysis and test results is about 6 degrees, which is within the range of 10 degrees required by the industry.