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| 1 | 外圆磨削加工的仿真、优化及控制显示文摘磨削技术已广泛应用于最后加工有光滑表面和高精度要求的零件。在过去的 30年里 ,经过广泛的研究 ,对磨削加工的许多方面有了一个较为清楚的了解。本论文的目的在于说明怎样利用我们对磨削过程的理解来预报磨削特性和获得最佳加工条件。一个集成了描述磨削过程中不同方面的分析模块的软件包已被开发出来。这软件包括三个主要模块 :仿真、校准和优化。仿真模块作为一个虚拟磨床来预测磨削过程和零件质量。校准模块通过实测参数如功率、表面粗糙度和椭圆度等对模型的系数进行修正 ,从而对实际磨削特性进行学习。优化模块是以最小化周期时间或以基于服从工件质量约束校正模型后的周期时间为目标来确定磨削和修整参数。本软件已被集成进了PC开放体系控制器 (OAC) ,作为智能磨削系统 (IGS)的基础。 | S.Malkin C.Guo 张一飞 | 2001 | 金刚石与磨料磨具工程2001，21，5： | 12 |
| 2 | The Treg/Th17 Imbalance in Patients with Idiopathic Dilated Cardiomyopathy显示文摘 | J.Li L.Wang S.Wang H.Zhu P.Ye A.Xie B.Shen C.Liu C.Guo Q.Fu K.Zhang J.Xia | 2010 | Scandinavian Journal of Immunology2010，，4： | 2 |
| 3 | Accountability Online:Understanding the Web-based Accountability Practices of Nonprofit Organizations显示文摘 | Saxton G.D C.Guo | | 0，，： | 1 |
| 4 | Self‐Assembled Silicon Nanotubes Grown from Silicon Monoxide显示文摘 | Y.‐W.Chen L.‐Z.Pei C.Guo | 2005 | Adv. Mater2005，，： | 1 |
| 5 | 连续修整蠕动磨削的优化显示文摘本文介绍基于磨削模型和在线功率测量,适当调整工件速度和横向进给,缩短加工生产周期和砂轮消耗,连续修整的蠕动磨削的优化。热流保持在烧损极限之下,以避免磨后表面的热损伤.磨削力控制在许用值之下,以避免叶片过量应变引起的表面裂纹。使用这种方法。维持热流和磨削力在它们许用临界值之下,可将磨削循环时间减少40%。 | C.Guo 林王产 刘品潇 郑冬 | 2004 | 国外金属加工2004，25，3： | 0 |
| 6 | Study on the radon removal for the water system of Jiangmen Underground Neutrino Observatory显示文摘Background The Jiangmen Underground Neutrino Observatory(JUNO),a 20-kton multipurpose underground liquid scintillator detector,was proposed with the determination of the neutrino mass hierarchy as a primary physics goal.To veto the cosmogenic background and shield the central detector from the environmental radioactivity,a multi-veto system,which consists of a water Cherenkov detector and a top tracker detector,is required.In order to keep the water quality good and remove the radon from water,an ultrapure water system,a radon removal system and radon concentration measurement system have been designed.Method The JUNO ultrapure water system was designed on the basis of the water system of the Daya Bay experiment.By installing the degassing membrane devices on the water system of JUNO prototype and Daya Bay experiment which can remove radon from water,the radon removal efficiency has been measured at the conditions of different gas–liquid phase pressures and different gas concentrations in water using the radon measurement system.Result Loading carbon dioxide into the water and increasing the inlet water pressure could help to improve the radon removal efficiency of the degassing membrane devices,and the radon concentration in water can be reduced to∼0.1 Bq/m^(3).Conclusion A reliable ultrapure water production and circulation system has been designed to keep the water quality good and to reduce the radon concentration in water for JUNO water Cherenkov detector.The radon concentration in water can satisfy the requirement of JUNO by using the Liqui-Cel degassing membrane devices. | C.Guo J.C.Liu Y.P.Zhang P.Zhang C.G.Yang Y.B.Huang W.X.Xiong H.Q.Zhang Y.T.Wei Y.Y.Gan | 2018 | Radiation Detection Technology and Methods2018，2，2： | 0 |
| 7 | The development of ^(222)Rn detectors for JUNO prototype显示文摘Background JUNO(The Jiangmen Underground Neutrino Observatory)is a multipurpose neutrino experiment,and it has very strict requirements for the detector.According to the MC simulation for JUNO experiment requirements,the Rn concentration in the water of the veto detector should be less than 0.2Bq/m^(3).In order to measure such low Rn concentration,two kinds of high-sensitivity Rn measurement systems have been developed.Method Based on the water system of JUNO prototype,two kinds of high-sensitivity Rn detectors have been developed,namely the Si-PIN Rn detector and the LS Rn detector.The Si-PIN Rn detector uses a Si-PIN photodiode to detect theαfrom ^(214)Po decay and the LS Rn detector detects the coincident signals ofβfrom ^(214)Bi decay andβfrom ^(214)Po decay.Result The background measurement of Si-PIN Rn detector and LS Rn detector is performed to estimate the sensitivity.The sensitivity of Si-PIN Rn detector is around 9.0mBq/m^(3) and the sensitivity of LS Rn detector is around 64.0Bq/m^(3).Conclusion Both of the Si-PIN Rn detector and the LS Rn detector are working well with the JUNO prototype at present,and both of them can be developed as an online Rn concentration monitoring device for JUNO veto detector. | Y.P.Zhang J.C.Liu C.Guo Y.B.Huang C.Xu M.Y.Guan C.G.Yang P.Zhang | 2018 | Radiation Detection Technology and Methods2018，2，1： | 0 |
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