化工热力学教学过程中熵的统计物理解释  

Entropy is Described by Statistical Physics in the Course of Chemical Engineering Thermodynamics

作　　者：曾勇平[1] 

机构地区：[1]扬州大学化学化工学院,江苏扬州225002

出　　处：《科教文汇》2015年第13期55-56,共2页Journal of Science and Education

摘　　要：目前,在教学过程中,化工热力学中的熵很大程度上仍以熟知的卡诺循环为基础,但遗憾的是,对于其过程方向的判断仍然较为含糊,物理情形不够清晰。本文采用统计物理的简单公式解释熵,这种方法能够辅助经典定义,使得更加清晰,让学生能够更好地理解讲解第二定律的教学思路,并加深对熵概念和公式的理解,同时能够培养学生严密的逻辑思维,达到提高课堂热力学教学效果和质量目的。At present, the entropy is mainly defined with the basis of Carnot cycle during the course of the chemical engineering thermodynamics. Unfortunately, the equation with Carnot cycles is difficult to shed light on some direction of process. Also, the physical picture is still not clear. In this paper, statistical physics is used to describe the entropy in the chemical engineering thermodynamics. The microcosmic of physics is more clear than that of Carnot cycle,it makes students＇ insight much better, arid trains logical thinking and deepens their understanding of concepts and the formula. It is helpful to improve the effectiveness and quality of the course.

关 键 词：卡诺循环 熵 统计物理 

分 类 号：G642[文化科学—高等教育学]