Effects of nanosized precipitates on the Portevin-Le Chatelier behavior: model prediction and experimental verification

Materialia ◽  
2021 ◽  
pp. 101299
Author(s):  
Han Chen ◽  
Zhe Chen ◽  
Yanchi Chen ◽  
Gang Ji ◽  
Shengyi Zhong ◽  
...  
Keyword(s):  
Model Prediction ◽  
Experimental Verification ◽  
Behavior Model

Experimental verification of finite element model prediction of EUVL mask flatness during electrostatic chucking

2006 ◽  
Author(s):  
Madhura Nataraju ◽  
Jaewoong Sohn ◽  
Andrew R. Mikkelson ◽  
Kevin T. Turner ◽  
Roxann L. Engelstad ◽  
...  
Keyword(s):  
Finite Element ◽  
Finite Element Model ◽  
Model Prediction ◽  
Experimental Verification ◽  
Element Model

scholarly journals Screening of Additives to Ni-Based Methanation Catalyst for Enhanced Anti-Sintering Performance

Catalysts ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. 493 ◽  
Author(s):  
Yuting Li ◽  
Xiaoxia Han ◽  
Chaofan Zhao ◽  
Lin Yue ◽  
Jinxian Zhao ◽  
...  
Keyword(s):  
Data Mining ◽  
Particle Size ◽  
Physicochemical Properties ◽  
Model Prediction ◽  
Experimental Verification ◽  
Metallic Nickel ◽  
Efficient Tool ◽  
Nickel Particles ◽  
Al2o3 Catalyst ◽  
Methanation Catalyst

The resistance to sintering of Ni/Al2O3 catalysts with different additives for methanation reaction was modeled and predicted by data mining. In the screening, the resistance to sintering of Na, Ca, Ce, Mg, La, Cu, Zn, Zr, In, Mo, and Ti promoted Ni/Al2O3 catalyst were measured in terms of the increased rate of the size of the metallic nickel particles. The resistance to sintering of catalysts, described by the increased rate of Ni particle size as well as basic physicochemical properties of the 11 selected elements, was adopted for optimization model construction by data mining. Through regression model prediction and experimental verification, Cs was found to be an additive, and promotes the resistance to sintering mostly for Ni/Al2O3 catalysts. This result provides further evidence that data mining techniques can be employed as a highly efficient tool for the discovery of new catalysts in comparison with the traditional experimental method.

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