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Megan Elizabeth Batchelor, Mercer University; Chandan Roy, Mercer University
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experiment, and Q is the power input from the DC source to theheating element. [3]Derivation of the Thermal Resistance FormulaThis formula is derived from the basic principles of steady-state heat transfer. In steady-stateconditions, the rate of heat generated by the heating element (𝑄) is equal to the rate at which heatis dissipated through the heat sink into the surrounding environment, with no net energyaccumulation in the system. [4] Thermal resistance in this context functions similarly toelectrical resistance in circuits, where a temperature difference (𝛥𝑇) drives the heat flow just as avoltage difference drives current.The general formula for thermal resistance is defined as: 𝛥𝑇
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Hammad Afzal Quddus, Mercer University; Landon James Yarbrough, Mercer University; Megan Elizabeth Batchelor, Mercer University; Chandan Roy, Mercer University
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impedance TH and TL are calculated using equations(1) and (2) and the Q is calculated using equation (3). The area of the sample is measured.InsulationIn the original setup, closed-foam insulation was used. This proved to be a big disadvantagesince it covered the whole setup. It was crucial for the two meter bars to be perfectly aligned asthere needs to be one-dimensional heat flow throughout the whole apparatus. With closed-foaminsulation, there was no way to ensure this condition. It was possible that once pressure wasapplied, there might have been a slight misalignment, and even a minor misalignment couldbring air gaps into the system, making the data inaccurate. Figure 3: Previous Design with Closed-Foam InsulationThe team
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Faiza Akram, Mississippi State University; Andrew Zheng, Texas A&M University; April Guo-Yue, Mississippi State University; Cooper Medved, Mississippi State University; Claire Johnson, Mississippi State University; Asad Waqar Malik; Samee U Khan, Mississippi State University
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. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge computing: Vision and challenges,”IEEE Internet of Things Journal, vol. 3, pp. 637–646, 2016.
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Maya Al Shanti, Embry-Riddle Aeronautical University - Daytona Beach; Thiha Myat Thu, Embry-Riddle Aeronautical University - Daytona Beach; Kai Jun Chew, Embry-Riddle Aeronautical University - Daytona Beach
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Diversity, Student Papers
’ perceptions of teacher effectiveness and student achievement at secondary school level,” Bulletin of Education and Research, vol. 41, no. 2, pp. 93–108, Aug. 2019.[17] D. L. Jackson et al., “The dimensions of students’ perceptions of teaching effectiveness,” Educ Psychol Meas, vol. 59, no. 4, pp. 580–596, 1999.[18] J. S. Eccles, “Expectancies, values, and academic behaviors,” in Achievement and Achievement Motives, J. T. Spence, Ed., W.H. Freeman, 1983, pp. 75–146.[19] E. Q. Rosenzweig, A. Wigfield, and J. S. Eccles, “Beyond utility value interventions: The why, when, and how for next steps in expectancy-value intervention research,” Educ Psychol, vol. 57, no. 1, pp. 11–30, 2022, doi: 10.1080