ESTIMATION OF LIQUIDUS TEMPERATURES OF STEEL USING ARTIFICIAL NEURAL NETWORK APPROACH

被引：0

作者：

Machu, Mario ^{[1
,2
]}

Drozdova, Lubomira ^{[1
,2
]}

Smetana, Bedrich ^{[1
,2
]}

Zimny, Ondrej ^{[1
]}

Vlcek, Jozef ^{[1
,2
]}

机构：

[1] VSB Tech Univ Ostrava, Ostrava, Czech Republic

[2] VSB Tech Univ Ostrava, Reg Mat Sci & Technol Ctr, Ostrava, Czech Republic

来源：

27TH INTERNATIONAL CONFERENCE ON METALLURGY AND MATERIALS (METAL 2018) | 2018年

关键词：

Artificial neural networks; liquidus temperature of steel; MATLAB; Thermo-Calc; IDS;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Presented works investigates a possibility of using modeling based on artificial neural network for prediction of liquidus temperatures of low-alloyed steels. Paper describes the methodology of creating such model by tools incorporated in commercial software MATLAB. Neural network is trained, validated and tested and previously unseen data measured by DTA method are used as new input data. Results are then compared to those measured and calculated by commonly used software for such applications like IDS and Thermo-Calc. Performance of these three modeling approaches is discussed.

引用

页码：56 / 62

页数：7

共 50 条

[1] Estimation of static formation temperatures in geothermal wells by using an artificial neural network approach
Bassam, A.
Santoyo, E.
Andaverde, J.
Hernandez, J. A.
Espinoza-Ojeda, O. M.
COMPUTERS & GEOSCIENCES, 2010, 36 (09) : 1191 - 1199
[2] Estimation of liquidus temperatures for steels using thermodynamic approach
Miettinen, J
Howe, AA
IRONMAKING & STEELMAKING, 2000, 27 (03) : 212 - 227
[3] NEW APPROACH FOR ESTIMATION OF POLLUTANT LOAD BY USING ARTIFICIAL NEURAL NETWORK
Liu, Minghuan
Yoshimi, Kenji
Ishikawa, Tadaharu
Kudo, Kentaro
ADVANCES IN WATER RESOURCES AND HYDRAULIC ENGINEERING, VOLS 1-6, 2009, : 683 - +
[4] Rainfall estimation using an artificial neural network
Hsu, K
Sorooshian, S
Gao, XG
Gupta, HV
FIRST CONFERENCE ON ARTIFICIAL INTELLIGENCE, 1998, : 28 - 32
[5] Estimation of natural gas compressibility factors using artificial neural network approach
Sanjari, Ehsan
Lay, Ebrahim Nemati
JOURNAL OF NATURAL GAS SCIENCE AND ENGINEERING, 2012, 9 : 220 - 226
[6] Estimation of FeO content in the steel slag using infrared imaging and artificial neural network
Strakowski, R.
Pacholski, K.
Wiecek, B.
Olbrycht, R.
Wittchen, W.
Borecki, M.
MEASUREMENT, 2018, 117 : 380 - 389
[7] Estimation of steel guitar strings corrosion by artificial neural network
Rolich, Tomislav
Rezic, Iva
Curkovic, Lidija
CORROSION SCIENCE, 2010, 52 (03) : 996 - 1002
[8] A Novel Neural Network Approach For Software Cost Estimation Using Functional Link Artificial Neural Network (FLANN)
Rao, B. Tirimula
Sameet, B.
Swathi, G. Kiran
Gupta, K. Vikram
RaviTeja, Ch.
Sumana, S.
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2009, 9 (06): : 126 - 131
[9] Artificial Neural Network Based Link OSNR Estimation with a Network Approach
Yang, Zeyuan
Gu, Rentao
Wang, Dajiang
Tan, Yanxia
Li, Hongbiao
Ji, Yuefeng
FIBER OPTIC SENSING AND OPTICAL COMMUNICATION, 2018, 10849
[10] ESTIMATION OF LIQUIDUS TEMPERATURES FOR STEELS
HOWE, AA
IRONMAKING & STEELMAKING, 1988, 15 (03) : 134 - 142

← 1 2 3 4 5 →