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Monocrystalline silicon is the fundamental material for chip manufacturing, and its quality depends not only on the control of impurity concentration but also on minimizing crystal defects. The density of native point defects in the crystal is one of the critical indicators for assessing the quality of the crystal, which requires optimization of the thermal field, adjustment of the temperature distribution during the crystal growth process, and precise control of the V / G ratio (the ratio of the pulling speed to the axial temperature gradient within the crystal). This study employs the finite volume method in ANSYS Fluent software to analyze the effect of different heat shield structures on the temperature distribution during the growth of 300 mm semiconductor-grade monocrystalline silicon by the Czochralski (Cz) process. Specifically, we investigated a two-piece heat shield design, altering the structure at different angles, and simulated the temperature distribution, axial temperature gradient at the solid-liquid interface, and V / G ratio at various stages of the pulling process (the initial stage at 400 mm, mid-stages at 800 and 1 400 mm, and the final stage at 2 000 mm). By analyzing the changes in V / G values across these stages, a heat shield structure with V / G values closer to the critical value ζ and better radial uniformity was found under relatively large temperature gradients, providing better conditions for reducing defect density. Additionally, by discussing the thermal history of the crystal rod, optimizing the heat shield structure to shorten the cooling cycle and providing better conditions for controlling the size of defects. The simulation results indicate that a heat shield structure with an included angle of 110°, a bottom thickness of 70 mm, and a gap of 30 mm between the inner wall of the heat shield and the crystal rod provides suitable temperature distribution conditions for the production of low-defect monocrystalline silicon. [ABSTRACT FROM AUTHOR]

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Copyright of Journal of Synthetic Crystals is the property of Journal of Synthetic Crystals Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Data Acquisition & Processing / Shu Ju Cai Ji Yu Chu Li is the property of Editorial Department of Journal of Nanjing University of Aeronautics & Astronautics and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Experimental Technology & Management is the property of Experimental Technology & Management Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to understand the changes of quality indexes and provide new insights for the scientific storage and the predictionof quality change of high oil soybean during storage. In the present study, a biochemical investigation was carried out to determine the quality indicators of high-oil soybeans during seed storage. Two kinds of high-oil soybeans were collected from the Henan and Inner Mongolia of China. Different moisture (13.00%±0.20% and 15.00%±0.20%) were then adjusted and stored the seeds at 25℃ and 35℃ for 180 days. The quality indexes of high-oil soybeans were determined and analyzed every 30 days during storage. Some parameters were evaluated, including the malondialdehyde (MDA) content, electrical conductivity, and enzyme activities of catalase (CAT), as well as the peroxidase (POD) and polyphenol oxidase (PPO). A correlation analysis was also carried out between the physiological and biochemical indexes. A kinetic model was selected for the change trends analysis of electrical conductivity and MDA. The results showed that the activities of CAT, POD, and PPO decreased with the increase in storage time, whereas the electrical conductivity and MDA content increased significantly in the two kinds of high-oil soybeans. And the change range of them increased with the increasing of the initial moisture content and the storage temperature. The correlation analysis showed that the storage time presented a significant or extremely significant correlation with the physical and chemical indexes of the two high-oil soybeans. The correlation coefficients between the storage time with the MDA and PPO were 0.82 and -0.90, 0.81 and -0.92, in the Henan and Inner Mongolia soybeans, respectively. The initial water content was significantly negatively correlated with the CAT activity of the two soybeans. The correlation coefficients were -0.63 and -0.74, respectively, indicating no strong correlation with the indicators. At the same time, there was a positive correlation between the storage temperature and the electrical conductivity in the two soybeans, where the correlation coefficients were 0.66 and 0.61, respectively. Furthermore, the kinetic analysis showed that the zero-order kinetic model better fitted for both electrical conductivity and MDA of the two high-oil soybeans at different storage temperatures. The two indexes were attributed to the energy demand reaction during storage (ΔG>0). The zero-order kinetic response coefficient also increased with the increase of initial moisture content and storage temperature of soybeans. Moreover, there was a higher content of crude fat in the zero-order kinetic activation energy of MDA and the electrical conductivity in the Henan soybean, compared with the Inner Mongolia one. Consequently, the higher temperature, initial moisture content, and crude fat content accelerated the electrical conductivity and MDA during storage, leading to the faster quality deterioration of the high-oil soybean. Therefore, a strict control of the temperature and initial moisture content during storage can be expected to maintain the fat content of seeds for the less quality deterioration of high-oil soybean. In particular with the high initial moisture content, the temperature conditions should be strictly regulated for the storage safety of the soybeans. Meanwhile, MDA content of high-oil soybean was more likely to change during storage than other indexes, which could be used as an early reference index for the quality change prediction. [ABSTRACT FROM AUTHOR]