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Development of micro-grinding mechan...
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Park, Hyung Wook.
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Development of micro-grinding mechanics and machine tools.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Development of micro-grinding mechanics and machine tools./
作者:
Park, Hyung Wook.
面頁冊數:
184 p.
附註:
Adviser: Steven Y. Liang.
Contained By:
Dissertation Abstracts International69-04B.
標題:
Engineering, Aerospace. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308806
ISBN:
9780549558262
Development of micro-grinding mechanics and machine tools.
Park, Hyung Wook.
Development of micro-grinding mechanics and machine tools.
- 184 p.
Adviser: Steven Y. Liang.
Thesis (Ph.D.)--Georgia Institute of Technology, 2008.
Micro-grinding with microscale machine tools is a micro-machining process in precision manufacturing of microscale parts such as micro sensors, micro actuators, micro fluidic devices, and micro machine parts. Mechanical micro-machining generally consists of various material removal processes. Micro-grinding of these processes is typically the final process step and it provides a competitive edge over other fabrication processes. The quality of the parts produced by this process is affected by process conditions, micro-grinding wheel properties, and microstructure of materials. Although a micro-grinding process resembles a traditional grinding process, this process is distinctive due to the size effect in micro-machining because the mechanical and thermal interactions between a single grit and a workpiece are related to the phenomena observed in micro-machining. However, there have not been enough modeling studies of the micro-grinding process and as a result, little knowledge base on this area has been accumulated.
ISBN: 9780549558262Subjects--Topical Terms:
1018395
Engineering, Aerospace.
Development of micro-grinding mechanics and machine tools.
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Micro-grinding with microscale machine tools is a micro-machining process in precision manufacturing of microscale parts such as micro sensors, micro actuators, micro fluidic devices, and micro machine parts. Mechanical micro-machining generally consists of various material removal processes. Micro-grinding of these processes is typically the final process step and it provides a competitive edge over other fabrication processes. The quality of the parts produced by this process is affected by process conditions, micro-grinding wheel properties, and microstructure of materials. Although a micro-grinding process resembles a traditional grinding process, this process is distinctive due to the size effect in micro-machining because the mechanical and thermal interactions between a single grit and a workpiece are related to the phenomena observed in micro-machining. However, there have not been enough modeling studies of the micro-grinding process and as a result, little knowledge base on this area has been accumulated.
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In this study, the new predictive model for the micro-grinding process was developed by consolidating mechanical and thermal effects within the single grit interaction model at microscale material removal. The size effect of micro-machining was also included in the proposed model. In order to assess thermal effects, the heat partition ratio was experimentally calibrated and compared with the prediction of the Hahn model. Then, on the basis of this predictive model, a comparison between experimental data and analytical predictions was conducted in view of the overall microgrinding forces in the x and y directions. Although there are deviations in the predicted micro-grinding forces at low depths of cut, these differences are reduced as the depth of cut increases. On the other hand, the optimization of micro machine tools was performed on the basis of the proposed design strategy. Individual mathematical modeling of key parameters such as volumetric error, machine working space, and static, thermal, and dynamic stiffness were conducted and supplemented with experimental analysis using a hammer impact test. These computations yield the optimal size of miniaturized machine tools with the technical information of other parameters.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3308806
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