Optimization of a Nano-Particle Milling Process with Multiple quality characteristics
碩士 === 國立雲林科技大學 === 工業工程與管理研究所碩士班 === 95 === Due to the light, short and multi-function development trend, particles with 1~100 nanometer (nm) grain size become new advanced materials. We usually use wet-type mechanical milling process to make nano-particles. As the grain size of nano-particles decr...
Main Authors: | Wei-Han Chen, 陳暐涵 |
---|---|
Other Authors: | Tung-Hsu Hou |
Format: | Others |
Language: | zh-TW |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/96112982598816889730 |
Similar Items
-
Using Particle Swarm Optimization with Random Particles to Find the Pareto- Optimal Parameter for a Nano-Particle Milling Process
by: Ren-De You, et al.
Published: (2012) -
Using Revised Adaptive Particle Swarm Algorithm to Find the Multi-Quality Optimization Parameters for a Nano-Particle Milling Process
by: Fan-yun Kung, et al.
Published: (2013) -
Using a revised gravitational search algorithm to find the optimal parameters for a nano-particle milling process
by: Yen-Chuan Tsai, et al.
Published: (2014) -
A Study of Mixed Particle Swarm and Artificial Fish Swarm Algorithm to Find the Optimal Parameters for a Nano-Particle Milling Process
by: Jia-Jing Liang, et al.
Published: (2014) -
On the optimal parameters of multiple quality characteristics of milling cutter by applying Taguchi method
by: Pei-Chun Tsai, et al.
Published: (2012)