Browsing by Author "Lan, CL"

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Fabrication of high-aspect-ratio ceramic microstructures by injection molding with the altered lost mold technique
(2001-03-01)
Chen, RH
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Lan, CL
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機械工程學系
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Department of Mechanical Engineering
A fabrication process for complex ceramic microstructures was proposed that combines a lost mold technique and ceramic injection molding. Two key points in this process were studied. First, the solubility of several engineering plastics in various organic solvents was tested to find appropriate combinations of mold material and solvent for dissolving molds, Secondly, the binder extraction rate and the strength of a green body during debinding were investigated. Experimental results indicate that acrylonitrile-butadiene styrene and acetone are the best combinations selected for this lost mold technique. We also propose that using gasoline as the debinding solvent and performing the debinding at room temperature mill give a good time-saving effect and avoid toppling the microstructure if paraffin wax, stearic acid, and polyethylene were selected to compound the binder system. This process has been successfully applied to fabricate several ceramic microstructures, such as integrated punch.
The implementation of Markov bias corrected grey system in freeway travel time prediction
(2003)
Jou, YJ
;
Lee, TT
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Lan, CL
;
Hsu, CH
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統計學研究所
The purpose of this study is to develop a freeway travel time prediction. model and, combined with real-time database, to obtain the most recise travel time prediction. First, a Grey System Theory for travel time prediction is developed, and then Markov Bias Correction mechanism is used for bias correction. Prediction is divided into "data-of-week" in time category because of that, travel time is corresponding to travel pattern and,travel pattern itself is highly related to whether it is weekday or weekend. In the link section, this study divided the path into pairs of interchanges because of the information obtained. And then, construct a real-time database, and connect to Taiwan Area National Freeway Bureau via internet for real-time travel speed.-and uses this information on freeway travel time prediction. Besides prediction, this study also. uses this information for calibration.