Prediction of laser cutting heat affected zone by extreme learning machine

被引：37

作者：

Anicic, Obrad ^{[1
]}

Jovic, Srdan ^{[1
]}

Skrijelj, Hivzo ^{[1
]}

Nedic, Bogdan ^{[2
]}

机构：

[1] Univ Pristina, Fac Tech Sci, Kneza Milosa 7, Kosovska Mitrovica 38220, Serbia

[2] Univ Kragujevac, Fac Engn, Sestre Janic 6, Kragujevac 34000, Serbia

来源：

OPTICS AND LASERS IN ENGINEERING | 2017年 / 88卷

关键词：

Extreme Learning Machine; Forecasting; HAZ; Laser cutting; NEURO-FUZZY TECHNIQUE; FEEDFORWARD NETWORKS; INFLUENTIAL FACTORS; STRESS-ANALYSIS; STEEL;

D O I：

10.1016/j.optlaseng.2016.07.005

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

Heat affected zone (HAZ) of the laser cutting process may be developed based on combination of different factors. In this investigation the HAZ forecasting, based on the different laser cutting parameters, was analyzed. The main goal was to predict the HAZ according to three inputs. The purpose of this research was to develop and apply the Extreme Learning Machine (ELM) to predict the HAZ. The ELM results were compared with genetic programming (GP) and artificial neural network (ANN). The reliability of the computational models were accessed based on simulation results and by using several statistical indicators. Based upon simulation results, it was demonstrated that ELM can be utilized effectively in applications of HAZ forecasting. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：1 / 4

页数：4

共 22 条

[1] Extreme Learning Machines: A new approach for prediction of reference evapotranspiration [J].

Abdullah, Shafika Sultan ;

Malek, M. A. ;

Abdullah, Namiq Sultan ;

Kisi, Ozgur ;

Yap, Keem Siah .

JOURNAL OF HYDROLOGY, 2015, 527 :184-195

[2]

[Anonymous], ICIS452003 NAN TU SC

[3]

[Anonymous], 2003, Genetic programming IV: routine human-competitive machine intelligence

[4] Laser cutting silicon-glass double layer wafer with laser induced thermal-crack propagation [J].

Cai, Yecheng ;

Yang, Lijun ;

Zhang, Hongzhi ;

Wang, Yang .

OPTICS AND LASERS IN ENGINEERING, 2016, 82 :173-185

[5] Finite element analysis of plastic failure in heat-affected zone of welded aluminium connections [J].

Dorum, Cato ;

Lademo, Odd-Geir ;

Myhr, Ole Runar ;

Berstad, Torodd ;

Hopperstad, Odd Sture .

COMPUTERS & STRUCTURES, 2010, 88 (9-10) :519-528

[6]

Huang GB, 2004, IEEE IJCNN, P985

[7] Extreme learning machine: Theory and applications [J].

Huang, Guang-Bin ;

Zhu, Qin-Yu ;

Siew, Chee-Kheong .

NEUROCOMPUTING, 2006, 70 (1-3) :489-501

[8] Universal approximation using incremental constructive feedforward networks with random hidden nodes [J].

Huang, Guang-Bin ;

Chen, Lei ;

Siew, Chee-Kheong .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 2006, 17 (04) :879-892

[9] The laser ablation model development of glass substrate cutting assisted with the thermal fracture and ultrasonic mechanisms [J].

Huang, Kuo-Cheng ;

Hsiao, Wen-Tse ;

Hwang, Chi-Hung ;

Lin, Ru-Li ;

Yeh, Jer-Liang Andrew .

OPTICS AND LASERS IN ENGINEERING, 2015, 67 :31-35

[10] Thermal affected zone obtained in machining steel XC42 by high-power continuous CO2 laser [J].

Jebbari, Neila ;

Jebari, Mohamed Mondher ;

Saadallah, Faycal ;

Tarrats-Saugnac, Annie ;

Bennaceur, Raouf ;

Longuemard, Jean Paul .

OPTICS AND LASER TECHNOLOGY, 2008, 40 (06) :864-873

← 1 2 3 →