thermal entropy

The results of numerical analysis show that there exist relevant relations between the thermal drag and entropy generation of the heated flow.

数值分析结果表明，加热流动中的热阻力与熵产二者之间存在着对应相关的关系。

Relationship between Mimic Thermal Capacity and Entropy When Temperature Changes

拟合热容量和熵随温度的变化关系

Entropy Generation Analysis of Convective Heat Transfer through a Duct Including Thermal Entrance Region

考虑热进口段时管内对流换热的熵产分析

In this paper using the thermodynamical potential of the nonlinear interaction model of three bosons which has been derived from refrence [ 6], the thermal photons and phnons mean values, and entropy of the system were calculated.

利用文献[6]提供的三玻色子非线性相互作用模型哈密顿量导出的热力学势，计算光与晶格相互作用散射过程中入射、散射光子和声子的热平均数以及系统的熵。

Arbitrarily selecting two property parameters among pressure, temperature, specific volume ( or density), entropy, enthalpy and internal energy as the input variables, the rest, the thermal conductivity and viscosity could be calculated.

以压力、温度、比容（或密度）、焓、熵、内能中任意两个作为输入参量，可以计算其余热力参量、热导率以及动力粘度等输运性质。

In this paper the thermal drag and entropy generation of a heated pipe flow are analysed by means of numerical computation.

本文利用数值计算方法，对圆管加热流动的热阻力和熵产进行了综合分析研究。

Numerical Analysis on Thermal Drag and Entropy Generation of a Heated Pipe Flow

加热圆管流动热阻力及熵产的数值分析

According to scientific definitions of thermal and informational entropy, it is pointed out that both the physical and informational entropy are two Basic parameters of the universe, they exist everywhere and all the time.

分析热熵和信熵的科学含义，指出物熵和信熵是宇宙中无时不在、无处不在的两个基本参量。

No obvious abnormal heat capacity was observed within this low temperature range. The thermal decomposition temperature range of the complex was near 333 K. Its decomposition temperature, decomposition enthalpy and entropy were 320.010 K, 40.714 kJ/ mol and 127.227 J/ molK, respectively.

333K附近是该配合物的分解温区，配合物的分解温度、分解焓和分解熵分别是320.010K、40.714kJ/mol和127.227J/molK。

The interaction between building blocks is week ( about KT), so the thermal fluctuation and entropy control the motion of the system.

其结构单元（Building Blocks）间相互作用弱（约为kT），热涨落和熵主导其运动和变化。

Entropy or thermal fluctuation is dominant in these systems.

在软物质中，熵或者热涨落占据了主导地位。