Desktop Layered Manufacturing with 3D Functional Adaptive Graded Materials

• Main Authors: Chen-Jun Wang, 王晨峻
• Other Authors: R. C. Luo
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/14512773243723683246

碩士 === 國立中正大學 === 光機電整合工程所 === 94 === In today’s highly demanding technology environment, manufacturing with lower cost is more competitive. Rapid Prototyping (RT) is a kind of production technology which transfers concept design to product design for shortening product design period to rapid manufacturing product prototyping. Rapid Tooling (RT) can be seen as extension of RP. RT can manufacture stronger mold and functional component. In recent years, functional component and production are valued gradually. Yet, the problem is how to combine these two different kinds material but don’t raise the problems, that is, radius stress or coefficient of thermal expansion mismatches. Functionally graded materials (FGM) technology is proposed to apply to functional component. Buffer layer which forms by FGM between two different kinds of material can mitigate radius stress and improve the problem of coefficient of thermal expansion mismatches. Different from the past 2D FGM, the purpose of this thesis is proposing a new method to model 3D FGM structure. Like the concept to approximate a curve of Calculous. With the increase of thickness, we change the contour number to model 3D FGM structure. This thesis is using many sub-regions to compose grading region and calculate material quantity in every sub-region to produce grading outcome. Finally, every sub-region has separate tool path planning. Before tool path planning, users have to input grading parameters in accordance with grading needs including grading region thickness, contour number (Cn) and Path Width which can control resolution. and control feed rate of two powder feeders through DSP motion control card, that is, delivering suitable powder content in accordance with user specified FGM structure for achieving grading outcome. Besides, when the computer assigns command to change the material content, the material content in molten pool is not belong to the next sub-region. So we adjusted the delay time to make the powder feeding system accurately predicts the future position of the molten pool.