机械工程应用实验换热实验系统的研制与应用

IF 0.7 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Journal of Advanced Computational Intelligence and Intelligent Informatics Pub Date : 2023-07-20 DOI:10.20965/jaciii.2023.p0632
Jinseok Woo, Minoru Hara, Y. Ohyama
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引用次数: 0

摘要

大学的实验教育是学生巩固理论知识的必要条件。一般来说,实验可以处理理论或模拟无法处理的现实世界数据。然而,也有一些实验对象很难根据理论得到结果。其中,热传导是一个难以获得理论结果的学科,因为它很难建立实验环境。因此,从学生的角度设计实验内容,如理论和实践实验是非常重要的。因此,本研究以东京工业大学机械工程系进行的传热实验为例,探讨教育对实验装置设计与应用的影响。此外,我们根据学生的行为、理解、满意度和后续结果来讨论所提出的实验系统的有效性。
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Development and Application of a Heat-Transfer Experimental System for the Mechanical Engineering Applied Experiment
Experimental education imparted at universities is essential for students to confirm their theoretical knowledge. Experiments, in general, can deal with real-world data that theory or simulation cannot handle. However, there are experimental subjects where it is difficult to obtain results according to the theory. Among them, heat conduction is a subject wherein it is difficult to obtain theoretical results because it is difficult to establish an experimental environment. Therefore, it is highly important to design experimental content using students’ perspectives, such as theory and practical experiments. Therefore, this study investigates the impact of education on the design and application of experimental apparatus for a heat-transfer experiment, which is a part of an experiment conducted by the Department of Mechanical Engineering, Tokyo University of Technology. Furthermore, we discuss the effectiveness of the proposed experimental system based on students’ behavior, comprehension, satisfaction, and subsequent results.
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来源期刊
CiteScore
1.50
自引率
14.30%
发文量
89
期刊介绍: JACIII focuses on advanced computational intelligence and intelligent informatics. The topics include, but are not limited to; Fuzzy logic, Fuzzy control, Neural Networks, GA and Evolutionary Computation, Hybrid Systems, Adaptation and Learning Systems, Distributed Intelligent Systems, Network systems, Multi-media, Human interface, Biologically inspired evolutionary systems, Artificial life, Chaos, Complex systems, Fractals, Robotics, Medical applications, Pattern recognition, Virtual reality, Wavelet analysis, Scientific applications, Industrial applications, and Artistic applications.
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