Pandiaraj Selvakumar, Govindasamy Kumaresan, Pandey Anand, Sonawane Chandrakant, Alrubaie Ali Jawad, Majdi Ali, Mohamed Mohamed A, Jaber Mustafa Musa, Muthusamy Suresh, Panchal Hitesh
Department of Mechanical Engineering, Kongu Engineering College (Autonomous), Perundurai, Erode, Tamil Nadu, India.
Department of Mechanical Engineering, Bannari Amman Institute of Technology (Autonomous), Sathyamangalam, Erode, Tamil Nadu, India.
Case Stud Therm Eng. 2022 Sep;37:102229. doi: 10.1016/j.csite.2022.102229. Epub 2022 Jun 23.
In the field of thermodynamics, entropy is a measure of the degree of disorder of the system considered focus. The direct measurement of entropy for microscopic systems involving molecule-level variations exists. However, for a macroscopic system, it still remains a challenge. The temperature reading is used as the primary index for understanding the quality of heat. In certain applications, the induced errors in the temperature measurement create complexity in decision making. One such case is the measurement of human body temperature for fever-like symptoms. This research aims to develop a direct entropy measuring device to indicate heat transfer for macroscopic systems. The developed device measured the mean entropy of the human body as 0.042 and 0.146 kJ/K during the daytime and nighttime, respectively. In comparison to the simulated entropy values, the measured values differed by 4% during the trials on the human body. Key decisions on macroscopic systems based on mild temperature variations can be made confidently with the measured entropy values.
在热力学领域,熵是衡量所考虑系统无序程度的一个指标。对于涉及分子层面变化的微观系统,存在直接测量熵的方法。然而,对于宏观系统而言,这仍然是一项挑战。温度读数被用作理解热的品质的主要指标。在某些应用中,温度测量中产生的误差会给决策带来复杂性。其中一个例子就是对有发烧症状的人体体温进行测量。本研究旨在开发一种直接熵测量装置,以指示宏观系统的热传递。所开发的装置测量出人体在白天和夜间的平均熵分别为0.042和0.146 kJ/K。与模拟熵值相比,在人体试验期间测量值相差4%。基于温和温度变化对宏观系统做出的关键决策可以根据测量得到的熵值自信地做出。