Ultra-precision manufacturing of silicon carbide mirrors with additive manufacturing

2021 ◽  
Author(s):  
Chao Xu ◽  
Hao Hu ◽  
Xiaoqiang Peng ◽  
Tao Lai ◽  
Jiahui Bao
2021 ◽  
Vol 8 (2) ◽  
pp. 021303
Author(s):  
Mikel Larrañaga-Altuna ◽  
Alaitz Zabala ◽  
Iñigo Llavori ◽  
Oliver Pearce ◽  
Dinh T. Nguyen ◽  
...  

2014 ◽  
Vol 625 ◽  
pp. 489-495
Author(s):  
Ling Bao Kong ◽  
Ji Bin Li ◽  
Chi Fai Cheung ◽  
Yan Lou ◽  
Chang Sheng Wang ◽  
...  

This paper presents an integrated roller embossing process named Continuous Injection Direct Rolling (CIDR) process. The CIDR process is similar to Continue Casting Direct Rolling (CCDR) process for metal material. The process consists of Plastic Injection Module, Injection Nozzle, Precision Rolling Module, and Automatic Coiling Module. In the proposed CIDR process, the plastic plate with microstructured pattern is produced by the integrated injection and rolling process, which is different from the current rolling or plastic injection process. Some key technologies including injection nozzle design, roller design, roller coupling, and ultra-precision machining of rollers, are presented. An on-machine measurement method is also proposed and presented to avoid the incontinence and errors caused by disassembling the roller workpiece for off-line measurement. The results of the pilot study are also discussed. The research work provides an enabling solution for precision manufacturing plastic plate and film with microstructured patterns.


Author(s):  
Farhad Imani ◽  
Bing Yao ◽  
Ruimin Chen ◽  
Prahalada Rao ◽  
Hui Yang

Nowadays manufacturing industry faces increasing demands to customize products according to personal needs. This trend leads to a proliferation of complex product designs. To cope with this complexity, manufacturing systems are equipped with advanced sensing capabilities. However, traditional statistical process control methods are not concerned with the stream of in-process imaging data. Also, very little has been done to investigate nonlinearity, irregularity, and inhomogeneity in image stream collected from manufacturing processes. This paper presents the multifractal spectrum and lacunarity measures to characterize irregular and inhomogeneous patterns of image profiles, as well as detect the hidden dynamics of the underlying manufacturing process. Experimental studies show that the proposed method not only effectively characterizes the surface finishes for quality control of ultra-precision machining but also provides an effective model to link process parameters with fractal characteristics of in-process images acquired from additive manufacturing. This, in turn, will allow a swift response to processes changes and consequently reduce the number of defective products. The proposed fractal method has strong potentials to be applied for process monitoring and control in a variety of domains such as ultra-precision machining, additive manufacturing, and biomanufacturing.


2011 ◽  
Vol 88 (8) ◽  
pp. 2500-2504 ◽  
Author(s):  
S. Cvetković ◽  
C. Morsbach ◽  
L. Rissing

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