scholarly journals Calculation Model for Stick–Slip Deformation in Weak Horizontal Structural Surface Formation after Water Inflow

ACS Omega ◽  
2021 ◽  
Vol 6 (35) ◽  
pp. 22888-22899
Author(s):  
Chaoyang Hu ◽  
Fengjiao Wang ◽  
Chi Ai
Keyword(s):  
Calculation Model ◽  
Water Inflow ◽  
Stick Slip ◽  
Surface Formation ◽  
Structural Surface ◽  
Slip Deformation

Serrated flow and stick–slip deformation dynamics in the presence of shear-band interactions for a Zr-based metallic glass

2012 ◽  
Vol 60 (10) ◽  
pp. 4160-4171 ◽  
Author(s):  
B.A. Sun ◽  
S. Pauly ◽  
J. Tan ◽  
M. Stoica ◽  
W.H. Wang ◽  
...  
Keyword(s):  
Shear Band ◽  
Metallic Glass ◽  
Stick Slip ◽  
Serrated Flow ◽  
Deformation Dynamics ◽  
Slip Deformation

A fuzzy neural network approach for modeling the growth kinetics of FeB and Fe2B layers during the boronizing process

2018 ◽  
Vol 106 (6) ◽  
pp. 603 ◽  
Author(s):  
Bendaoud Mebarek ◽  
Mourad Keddam
Keyword(s):  
Neural Network ◽  
Experimental Data ◽  
Fuzzy Neural Network ◽  
Treatment Time ◽  
Calculation Model ◽  
Average Error ◽  
Network Approach ◽  
Neural Network Approach ◽  
Fuzzy Neural ◽  
Kinetics Of

In this paper, we develop a boronizing process simulation model based on fuzzy neural network (FNN) approach for estimating the thickness of the FeB and Fe2B layers. The model represents a synthesis of two artificial intelligence techniques; the fuzzy logic and the neural network. Characteristics of the fuzzy neural network approach for the modelling of boronizing process are presented in this study. In order to validate the results of our calculation model, we have used the learning base of experimental data of the powder-pack boronizing of Fe-15Cr alloy in the temperature range from 800 to 1050 °C and for a treatment time ranging from 0.5 to 12 h. The obtained results show that it is possible to estimate the influence of different process parameters. Comparing the results obtained by the artificial neural network to experimental data, the average error generated from the fuzzy neural network was 3% for the FeB layer and 3.5% for the Fe2B layer. The results obtained from the fuzzy neural network approach are in agreement with the experimental data. Finally, the utilization of fuzzy neural network approach is well adapted for the boronizing kinetics of Fe-15Cr alloy.

Calculation model of formation of nonmetallic inclusions of multilayer morphology in weld metal

2018 ◽  
Vol 2018 (2) ◽  
pp. 5-10
Author(s):  
L.A. Taraborkin ◽  
◽  
V.V. Golovko ◽  
Keyword(s):  
Weld Metal ◽  
Nonmetallic Inclusions ◽  
Calculation Model

Development of the Partial Discharge Inception Calculation Model in a Non-uniform Air Gap Considering the Effect of Humidity

2011 ◽  
Vol 131 (12) ◽  
pp. 1017-1023 ◽  
Author(s):  
Norihito Yanagita ◽  
Tatsuro Kato ◽  
Toshiaki Rokunohe ◽  
Takeshi Iwata ◽  
Hiroki Kojima ◽  
...  
Keyword(s):  
Partial Discharge ◽  
Calculation Model ◽  
Air Gap

A Calculation Model for Submicron Field-Effect Transistors Based on GaAs

2002 ◽  
Vol 58 (7-8) ◽  
pp. 9
Author(s):  
S. A. Zuev ◽  
V. V. Starostenko ◽  
A. A. Shadrin
Keyword(s):  
Field Effect ◽  
Field Effect Transistors ◽  
Calculation Model

Assessing flood risk and detecting changes of salt water inflow in a coastal micro-tidal brackish marsh using GIS

2008 ◽  
Vol 37 (3) ◽  
Author(s):  
Jacek Urbański ◽  
Agata Ślimak
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Flood Risk ◽  
Salt Water ◽  
Brackish Marsh ◽  
Distance Functions ◽  
Water Inflow ◽  
Small Range ◽  
Natural Environments ◽  
Baltic Coast

Assessing flood risk and detecting changes of salt water inflow in a coastal micro-tidal brackish marsh using GISIn order to assess changes in salt water inflow and potential flood risks due to sea level rise in a micro-tidal Beka brackish marsh on the Polish Baltic Coast GIS was used. Such wetlands are important elements of coastal zone natural environments. Creating a geodatabase within a GIS system makes it possible to carry out broad analyses of complex systems, such as coastal wetlands. The results indicate that a 40 cm sea-level rise would considerably increase the frequency of flooding in the investigated area, in part because of the small range of the annual sea level oscillations there. A map of the index of changes in saltwater inflow, created with the help of cost-weighted distance (functions), shows that changes which have occurred along the shore, consisting of filling in the drainage channel outlets, have likely had a significant impact on the vegetation of the area.

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