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CAS IR Grid
机构
地理科学与资源研究所 [2]
长春光学精密机械与物... [1]
采集方式
OAI收割 [3]
内容类型
期刊论文 [2]
会议论文 [1]
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2020 [2]
2009 [1]
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粤港澳大湾区的贸易竞合关系及其优化路径
期刊论文
OAI收割
地理研究, 2020, 卷号: 39, 期号: 9, 页码: 2065
作者:
宋周莺
;
祝巧玲
;
徐婧雅
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2021/03/16
the Guangdong-Hong Kong-Macao Greater Bay Area
trade pattern
co- opetition relationship
international status
optimizing path
粤港澳大湾区
贸易格局
竞合关系
国际地位
优化路径
粤港澳大湾区的贸易竞合关系及其优化路径
期刊论文
OAI收割
地理研究, 2020, 卷号: 39, 期号: 9, 页码: 2065
作者:
宋周莺
;
祝巧玲
;
徐婧雅
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/16
the Guangdong-Hong Kong-Macao Greater Bay Area
trade pattern
co- opetition relationship
international status
optimizing path
粤港澳大湾区
贸易格局
竞合关系
国际地位
优化路径
Novel method for optimizing polishing tool-path in CCOS based on weighted-iterative algorithm (EI CONFERENCE)
会议论文
OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, November 19, 2008 - November 21, 2008, Chengdu, China
作者:
Zhang X.-J.
;
Wang X.
;
Wang X.
;
Wang X.
;
Wang X.-K.
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2013/03/25
In Computer Controlled Optical Surfacing (CCOS)
polishing tool-path is the base of solving other control parameters such as dwell time. In order to improve the fabrication results of polishing off-axis aspheric
a novel method to optimize the tool-path is discussed in this paper. The optimizing method named weighted-iterative algorithm is according to the balance principle of the particle system. The power factor of each dwell point represents the requirement of dwell density. Considering the factors which influence the polishing result
the power factors cosist of three elements include constant
error distribution and dwell distance of workpiece edge. The tool-path is solved by numerical iterative method. In the end
an error data is simulated with actual parameters using the matrix-based algorithm with two different tool-paths. The one is X-Y uniform spacing model and the other one is to optimize it based on the first. The comparison shows that the results of the optimized one are much better than traditional one
especially the rms convergence rate. Theory of the algorithm is simple and exercisable
and it satisfies practical requirement as well. 2009 SPIE.