| Summary: | 碩士 === 淡江大學 === 機械與機電工程學系碩士班 === 97 === This research utilizes stainless steel tube having external and internal diameter with 3.5 mm and 3 mm to manufacture closed loop pulsating heat pipe. The study includes manufacturing process and the vacuuming management for filling and packaging. The experiment use D.I. water as the working fluid. Different filling ratio, wind velocity and heating power are used to test the thermal performance. An Artificial Neural Network (ANN) is then trained with the above available test data. Fully connected feed forward multi-layer ANN configuration is adopted.
The experiment result shows that the applicable filling ratio is between 30% and 70%. The ANN consists of three input nodes corresponding to the filling ratio, the heat input and the wind velocity and a single output node corresponding to the total thermal resistance. The result shows the best series of filling ratio are 15%, 40%, 60% and 80%. And the one hidden layer is better than two hidden layer, the best mean error is 0.0541K/W.
The final part of the thesis also reports on preliminary experimental results of using Pyrex glass to manufacture a visual pulsating heat pipe to compare pulsating motion at different filling ratio.
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