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      • KCI등재

        Concurrent Recrystallization and Precipitation for Combination of Superior Precipitation and Grain Boundary Hardening in Co37Cr20Ni37Ti3Al3 High-Entropy Alloy

        Linfei Xia,Qingfeng Wu,Kexuan Zhou,Bin Han,Feng He,Zhijun Wang 대한금속·재료학회 2022 METALS AND MATERIALS International Vol.28 No.12

        According to the precipitation and recrystallization behavior, the precipitation and recrystallization can be concurrently tunedtoward the excellent mechanical property. In this study, a synergistically strengthened Co37Cr20Ni37Ti3Al3 high-entropyalloy was developed through concurrent recrystallization and precipitation (CRP) approach. After the treatment, the highdensityγ' precipitates were introduced in the matrix, while the fully-recrystallized ultrafine grains and annealing twins wereobtained from the recrystallization. Compared with conventional treatment, the CRP-HEA exhibits a superior combinationof ~ 1.62GPa tensile strength and ~ 28% elongation, which is attributed to the synergistic strengthening of precipitation andgrain boundary. In addition, the deformation mechanisms were characterized by TEM. The cutting-through mechanismdominates the deformation behaviors. Moreover, interesting stacking faults in different slip planes prevail during plasticdeformation. The concurrent recrystallization and precipitation for ultra-fine grain structure with nano-precipitates wouldprovide an effective strategy to achieve outstanding combination of strength and ductility.

      • KCI등재

        Effects of operating conditions on flow and heat transfer characteristics of mist cooling in a square ribbed channel

        Tieyu Gao,Junxiong Zeng,Qingfeng Xia,Jun Li,Jianying Gong 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.3

        Flow and heat transfer characteristics of mist/steam cooling and mist/air cooling in a square channel with 60º rib angle are numerically investigated for a wide range of operating parameters, such as Reynolds number ranging from 10000 to 60000, reference pressure from 0.1 MPa to 0.5 MPa and inlet temperature from 120 °C to 200 °C. Also, the heat transfer characteristics of mist cooling are compared with the corresponding cases of single-phase coolant such as steam and air. The 3D steady Reynolds-averaged Navier–Stokes equations with a standard k-ω turbulent model are solved by using commercial software ANSYS CFX. The CFD model has been validated by experimental data for steam-only case with a good agreement. In addition, distribution and evolution of secondary flow in the ribbed channel are analyzed by vortex core technology and their effects on heat transfer are investigated for these four coolants. The results show that the strength of longitudinal secondary flow has a significant influence on the Nusselt number (Nu) distribution on the ribbed surface. The Nusselt number distribution is periodical in stream-wise direction for steam and air cooling, whereas Nusselt number gradually increases for mist/steam and mist/air cooling. It is found that longer travelling distance of droplets in the ribbed channel result in a higher heat transfer enhancement of mist cooling. The heat transfer characteristics of mist cooling are insensitive to pressure, but inversely correlated with coolant inlet temperature compared with steam and air cooling for the tested parameter ranges.

      • KCI등재

        Research on Action Strategies and Simulations of DRL and MCTS-based Intelligent Round Game

        Yuxiang Sun,Bo Yuan,Yongliang Zhang,Wanwen Zheng,Qingfeng Xia,Bojian Tang,Xianzhong Zhou 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.9

        The reinforcement learning problem of complex action control in multiplayer online battlefield games has brought considerable interest in the deep learning field. This problem involves more complex states and action spaces than traditional confrontation games, making it difficult to search for any strategy with human-level performance. This paper presents a deep reinforcement learning model to solve this problem from the perspective of game simulations and algorithm implementation. A reverse reinforcement-learning model based on high-level player training data is established to support downstream algorithms. With less training data, the proposed model is converged quicker, and more consistent with the action strategies of high-level players’ decision-making. Then an intelligent deduction algorithm based on DDQN is developed to achieve a better generalization ability under the guidance of a given reward function. At the game simulation level, this paper constructs Monte Carlo Tree SearchIntelligent Decision Model for turn-based antagonistic deduction games to generate next-step actions. Furthermore, a prototype game simulator that combines offline with online functions is implemented to verify the performance of proposed model and algorithm. The experiments show that our proposed approach not only has a better reference value to the antagonistic environment using incomplete information, but also accurate and effective in predicting the return value. Moreover, our work provides a theoretical validation platform and testbed for related research on game AI for deductive games.

      • KCI등재

        Identification of DNA methylation and genetic alteration simultaneously from a single blood biopsy

        Chen Xiaomin,Liu Jiahui,Li Jun,Xie Yinpeng,Yu Zichen,Shen Lu,Liu Qingfeng,Wu Wei,Zhao Qiang,Lin Haoxiang,Liu Gaotong,Luo Qiuping,Yang Ling,Huang Yi,Zhao Meiru,Yi Xin,Xia Xuefeng 한국유전학회 2023 Genes & Genomics Vol.45 No.5

        Background High-throughput sequencing of blood cell-free DNA (cfDNA) techniques offer an opportunity to characterize and monitor cancer rapidly in a non-invasive and real-time manner. Nonetheless, there lacks a tool within therapeutic arsenal to identify multi-omics alterations simultaneously from a single biopsy. In current times, bisulfite-based sequencing detects 5mC and 5hmC at single-base resolution is the golden standard of DNA methylation, while the degradation of DNA and biased sequencing data are the problems of this method. Objective To identify the consistency analysis of methylation and genetic variation with single library, we presented a platform detecting multi-omics data simultaneously from a single blood biopsy using bisulfite-free method of genomic methylation sequencing (GM-seq) mediated by TET enzyme. Methods We detected methylomic and genetic changes simultaneously from a single blood biopsy in NA12878 and randomly chose ten blood biopsies from colorectal cancer or lung cancer patients to validate the ability of GM-seq. Results Similar cytosine methylation level between whole genome bisulfite sequencing (WGBS) and GM-seq were identified in NA12878. Moreover, longer insert size, CpGs coverage and GC distribution were outperformed than WGBS. In addition, the comparison of the single nucleotide polymorphism (SNP), insertion-deletion (Indel) and copy number variation (CNV) in NA12878 or ctDNA from liver cancer between GM-seq and whole genome sequencing (WGS) show a good consistency, indicating that this method is feasible for detecting genetic variation in blood. Conclusion In conclusion, our work demonstrated a method for identification of the methylated modification and genetic variations simultaneously from a single blood biopsy.

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