Improving material removal determinacy based on the compensation of tool influence function

2018 ◽  
Author(s):  
Bo Zhong ◽  
Wen-hui Deng ◽  
Shi-jie Zhao ◽  
Nan Zheng ◽  
Xian-hua Chen
Keyword(s):  
Influence Function ◽  
Material Removal ◽  
Tool Influence Function

An Experimental Investigation of Effect of Process Parameters on Materials Removal Characteristics in Fluid Jet Polishing

2016 ◽  
Vol 679 ◽  
pp. 91-96
Author(s):  
Zhong Chen Cao ◽  
Chi Fai Cheung
Keyword(s):  
Process Parameters ◽  
Influence Function ◽  
Material Removal ◽  
Optical Glass ◽  
Experimental Results ◽  
Visible Range ◽  
Tool Influence Function ◽  
Ultra Precision ◽  
Polishing Machine ◽  
Polishing Tool

Fluid Jet Polishing (FJP) is a promising ultra-precision machining technology which shows great potential with regard to the application value in the generation of freeform surfaces with sub-micrometre form accuracy and nanometric surface finish. The polishing tool influence function (TIF), which is affected by various parameters and commonly assessed in terms of width, maximum depth and volumetric material removal rate, is critically required for corrective polishing and deterministic machining. In this study, a series of experiments was conducted to study the effect of various process parameters on the polishing tool influence function. The polishing machine used is a Zeeko IRP 200 ultra-precision freeform polishing machine, with three linear axes and three rotational axes. All polishing experiments were performed on BK7, which is one of the most common technical optical glass materials for high-quality optical components in the visible range. These specimens were polished using Al2O3 (Aluminium oxide) abrasive particles and measured by a Zygo Nexview 3D Optical Surface Profiler. All these experiments were conducted by changing one process parameter and keeping the other process parameters constant. In this paper, the experimental results are described in detail to show the relationships between the material removal and the various parameters (i.e. slurry pressure, standoff distance, impingement angle, etc.), and some interesting experimental results are explained.

Effect of the inflated-pressure to the tool influence function for polishing using SR bonnet

2014 ◽  
Author(s):  
Chunjin Wang ◽  
Xu Yang ◽  
Bo Zhong ◽  
Zhenzhong Wang ◽  
Yinbiao Guo ◽  
...  
Keyword(s):  
Influence Function ◽  
Tool Influence Function

Time-varying tool influence function model of bonnet polishing for aspheric surfaces

2019 ◽  
Vol 58 (4) ◽  
pp. 1101 ◽  
Author(s):  
Bo Zhong ◽  
Chunjin Wang ◽  
Xianhua Chen ◽  
Jian Wang
Keyword(s):  
Influence Function ◽  
Time Varying ◽  
Function Model ◽  
Aspheric Surfaces ◽  
Bonnet Polishing ◽  
Tool Influence Function

Effect of the tool influence function shape of the semirigid bonnet to the tool path ripple error

2015 ◽  
Vol 54 (11) ◽  
pp. 115104 ◽  
Author(s):  
Jing Lin ◽  
Chunjin Wang ◽  
Hui Ye ◽  
Wei Yang ◽  
Yinbiao Guo
Keyword(s):  
Influence Function ◽  
Tool Path ◽  
Tool Influence Function ◽  
Function Shape

Optimization of polishing wheel and investigation of its tool influence function

2020 ◽  
Author(s):  
Yongsheng Yao ◽  
Zhen Ma ◽  
JiaoTeng Ding ◽  
XiaoGe Wu ◽  
QiXin Li ◽  
...  
Keyword(s):  
Influence Function ◽  
Tool Influence Function
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