process simulation
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Fuel ◽  
2022 ◽  
Vol 309 ◽  
pp. 122058
Author(s):  
Walter Anaya Menacho ◽  
Abdul Md Mazid ◽  
Narottam Das

Coatings ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. 86
Author(s):  
Zhongguo Yang ◽  
Shujuan Yi ◽  
Longkui Cao ◽  
Songhao Tang ◽  
Qiang Li

In this work, we study jet-electrodeposited Ni–TiN composite nanocoatings (CNCs) for improving abrasion resistance as a function of various nozzle diameters. In addition, COMSOL software is utilized to simulate the process of jet electrodeposition, particularly the influence of spraying speed and pressure of the electrolyte on the abrasion resistance of coatings. Optimization of the nozzle diameter to obtain uniform and high-performance coatings showed that a Φ7 mm nozzle diameter generated the optimum spraying speed and spraying pressure, which results in good micro-hardness and abrasion resistance of the Ni–TiN CNCs. Under these conditions, the 45 steel substrates are coated with a compact layer of uniform and nano-sized TiN particles, which are responsible for the high abrasion resistance of our Ni–TiN CNCs. Our study may motivate researchers to study jet electrodeposition in order to obtain abrasion-resistant coatings.


Author(s):  
Jing Wang ◽  
Jinglin Zhou ◽  
Xiaolu Chen

AbstractThe previous chapters have described the mathematical principles and algorithms of multivariate statistical methods, as well as the monitoring processes when used for fault diagnosis. In order to validate the effectiveness of data-driven multivariate statistical analysis methods in the field of fault diagnosis, it is necessary to conduct the corresponding fault monitoring experiments. Therefore this chapter introduces two kinds of simulation platform, Tennessee Eastman (TE) process simulation system and fed-batch Penicillin Fermentation Process simulation system. They are widely used as test platforms for the process monitoring, fault classification, and identification of industrial process. The related experiments based on PCA, CCA, PLS, and FDA are completed on the TE simulation platforms.


2022 ◽  
pp. 635-652
Author(s):  
Sayeda M. Abdo ◽  
Entesar Ahmed ◽  
Sanaa Abo El-Enin ◽  
Guzine El Diwan ◽  
K.M. El-Khatib ◽  
...  

2022 ◽  
pp. 331-361
Author(s):  
Medhat Elkelawy ◽  
Hagar Alm-Eldin Bastawissi ◽  
Ahmed Mohamed Radwan ◽  
Mohamed Taha Ismail ◽  
Mostafa El-Sheekh

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