scholarly journals Process optimization and thermal risk analysis for 1,3,5-trihydroxy-2,4,6-trinitrobenzenen synthesis

2021 ◽  
Vol 680 (1) ◽  
pp. 012070
Author(s):  
Yang Wang ◽  
Wenqian Wu ◽  
Zichao Guo ◽  
Qiuhan Lin ◽  
Liping Chen ◽  
...  
2021 ◽  
Vol 25 (4) ◽  
pp. 849-857
Author(s):  
Yuehua Li ◽  
Yang Wang ◽  
Longyu Liao ◽  
Zichao Guo ◽  
Liping Chen ◽  
...  

Author(s):  
A. Sumagpang Jr. ◽  
F. R. Gomez ◽  
R. Rodriguez

The paper focused in addressing the auto align defect at in-strip testing of a semiconductor scalable device in a leadframe technology. Pareto diagram and potential risk analysis were completed to identify the top reject contributors and eventually come-up with the robust solution. Reverse flow was employed to eliminate the alignment issues. The reverse flow, which is testing prior singulation process, eventually resolved the auto align and other singulation related defects as testing is done on a strip form. Ultimately, the error-proofing or Poka-Yoke approach by reverse flow lead to the elimination of auto align failures at final test. For future   works, the parameters and learnings could be used on devices with similar assembly defect occurrence.


2019 ◽  
Vol 23 (11) ◽  
pp. 2388-2393
Author(s):  
Wei Li ◽  
Wei Feng ◽  
Jie Hao ◽  
Zichao Guo ◽  
Liping Chen ◽  
...  
Keyword(s):  
One Pot ◽  

Author(s):  
A. Sumagpang Jr. ◽  
F. R. Gomez ◽  
B. C. Bacquian

The paper focused in addressing the silicon die chippings defect at the wafer sawing process of an extremely small semiconductor package. In-depth potential risk analysis and Pareto diagram were done to identify the top reject contributors and eventually resolve the issue. A comprehensive design of experiment (DOE) was done and validation of the solution was employed to formulate the effective corrective actions. Results revealed that die chippings were addressed by optimizing the wafer sawing process through enabling the dressing, pre-cut and step-cutting modes. Ultimately, an improvement of 95% for die chippings reduction was achieved.


2019 ◽  
Vol 681 ◽  
pp. 178354 ◽  
Author(s):  
Hua-Bo Li ◽  
Shun-Yao Wang ◽  
Xiao-Yu Gan ◽  
Wang-Hua Chen ◽  
Li-Ping Chen

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