ID 原文 译文
41296 通过在长周期光纤光栅外涂覆折射率对外界环境变化敏感响应的特定薄膜可以显著提高其传感测量的灵敏度。研究结果可为长周期光纤光栅传感器结构参数的优化设计和实际应用提供理论支持。 The sensitivity of sensing measurement of LPFG can be significantly improved by coating with a specific film whose refractive index is sensitive to the change of the external environment, which provides a theoretical support to the optimum design of LPFG sensor and its practical application.
41297 建立了多孔侧肋双层微通道复合热沉模型, A model of double-layered microchannel heat sink with porous side fins is developed.
41298 选取最大热阻最小化为优化目标、热沉单元端面纵横比为优化变量,在热沉总体积和流体区域体积占比给定的条件下,对复合热沉进行了构形优化, Taking minimizing the maximum thermal resistance as the optimization objective and the aspect ratio of heat sink cell as the optimization variable, the constructal optimization was carried out for the heat sink with porous side fins under the constraints of given total volume of heat sink and volume proportion of fluid region.
41299 并分析了冷却剂入口速度、多孔材料孔隙率、上下通道高度比、流体区域体积占比、肋厚比等参数对热沉最优构形的影响。 The effects of inlet velocity of coolant, porosity, the height ratio of upper channels to below channels, the volume proportion of fluid region and rib thickness ratio on the optimal constructs are analyzed, respectively.
41300 结果表明:给定初始条件,优化热沉单元端面纵横比,可使最大热阻减小21.19%; The results show that, with given the initial conditions, the maximum thermal resistance is 21.19%lower than its initial value after the aspect ratio is optimized.
41301 在热沉单元端面纵横比较小时,减小孔隙率有利于降低最大热阻,而在热沉单元端面纵横比较大时,存在最优的孔隙率使得最大热阻最小; Decreasing the porosity is beneficial to reduce the maximum thermal resistance when the aspect ratio is smaller, while there is an optimal porosity to make the maximum thermal resistance minimize at a large aspect ratio.
41302 上下通道高度比和肋厚比的改变均未影响热沉最优构形。 The changes of height ratio of upper channels to below channels and rib thickness ratio show few effects on the optimal construct.
41303 针对临床上由质子热声信号脉宽和信噪比的不确定性引起的走时提取困难问题,提出了一种基于密集网络的走时提取算法。 Aiming at the difficulty in extracting travel time caused by the uncertainty of the pulse width and signal-to-noise ratio of proton thermoacoustic signals in clinic, a travel time extraction algorithm based on dense network is proposed.
41304 该算法使用密集块代替传统卷积块,融合了具有不同感受野的特征,并引入了深度监督和网络剪枝机制, The algorithm uses dense blocks instead of traditional convolutional blocks, combines features with different receptive fields, and introduces deep supervision and network pruning mechanisms.
41305 利用标记好的质子束热声信号数据进行学习,以提取所需的走时信息。 It uses labeled proton beam thermoacoustic signal data for learning to extract the required time information.