Geodesic
Application of artificial neural networks and finite element method for determining the parameters of elliptic laser beam treatment of quartz sol-gel glasses
Problemy fiziki, matematiki i tehniki, no. 3 (2021), pp. 30-36.

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Modeling of the process of laser splitting of quartz glasses obtained by the sol-gel method using artificial neural networks and the finite element method was carried out. To form a training data set and data for testing neural networks, calculations of temperature fields and fields of thermoelastic stresses were performed using the finite element method in the ANSYS program. Calculations were completed for 875 variants of input parameters, 800 of which were used for training neural networks. The influence of the architecture of the neural network, the size of the training data array, and the training time on the accuracy of determining thermoelastic stresses and temperatures in the zone of laser processing of quartz sol-gel glasses were investigated.
Keywords: neural network, laser splitting, quartz plate. 
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Yu. V. Nikitjuk; A. N. Serdyukov; V. A. Prohorenko; I. Y. Aushev. Application of artificial neural networks and finite element method for determining the parameters of elliptic laser beam treatment of quartz sol-gel glasses. Problemy fiziki, matematiki i tehniki, no. 3 (2021), pp. 30-36. http://geodesic.mathdoc.fr/item/PFMT_2021_3_a4/

[1] V.I. Arbuzov, Osnovy radiatsionnogo opticheskogo materialovedeniya, SPb GU ITMO, SPb, 2008, 284 pp.

[2] E.N. Poddenezhnyi, A.A. Boiko, Zol-gel sintez opticheskogo kvartsevogo stekla, UO «GGTU im. P.O. Sukhogo», Gomel, 2002, 210 pp.

[3] V.E. Borisovskii, Razvitie teorii i razrabotka kompleksa tekhnologii i oborudovaniya dlya lazernoi obrabotki kvartsevogo stekla, avtoref. dis. dokt. tekhn. nauk: 05.11.14, MGUPI, M., 2011, 36 pp.

[4] G.A. Machulka, Lazernaya obrabotka stekla, Sov. radio, M., 1979, 1979. - 136 pp.

[5] V.S. Kondratenko, Sposob rezki nemetallicheskikh materialov: pat. 2024441 RF, MKI 5 C03B33/02, zayavitel V. S. Kondratenko, zayavl. 04.02.92, opubl. 12.15.94

[6] S. Nisar, “Laser glass cutting techniques — A review”, Journal of Laser Applications, 25:4 (2013), 042010, 11 pp. | DOI

[7] Yu.V. Nikityuk, Fizicheskie zakonomernosti lazernogo termoraskalyvaniya silikatnykh stekol i alyumooksidnoi keramiki, dis. ... kand. fiz.-mat. nauk: 01.04.21, Gomel, 2009, 165 pp.

[8] S.V. Shalupaev, A.V. Semchenko, Y.V. Nikitjuk, “Silica gel glasses after laser radiation”, Material Science, 21:4 (2003), 495–501

[9] S.V. Shalupaev, V.V. Gaishun, A.V. Semchenko, Yu.V. Nikityuk, “Lazernaya obrabotka kvartsevykh stekol, sintezirovannykh zol-gel metodom”, Materialy. Tekhnologii. Instrumenty, 2005, no. 2, 70–73

[10] A.N. Bakhtiyari, Z. Wang, L. Wang, H. Zheng, “A review on applications of artificial intelligence in modeling and optimization of laser beam machining”, Optics Laser Technology, 135 (2021), 1–18

[11] V.A. Golovko, V.V. Krasnoproshin, Neirosetevye tekhnologii obrabotki dannykh, ucheb. posobie, BGU, Minsk, 2017, 263 pp.

[12] F. Sholle, Glubokoe obuchenie na Python, Piter, SPb., 2018, 400 pp.

[13] R. Kant, S.N. Joshi, U.S. Dixit, “An integrated FEM-ANN model for laser bending process with inverse estimation of absorptivity”, Mechanics of advanced materials and modern processes, 1 (2015), 1–12 | DOI

[14] A.N. Solovev, Z. Nguen, Ch. Zang, “Identifikatsiya krugovykh treschin, vykhodyaschikh na poverkhnosti trub s pomoschyu sochetaniya metoda konechnykh elementov i iskusstvennykh neironnykh setei”, Ekologicheskii vestnik nauchnykh tsentrov ChES, 2014, no. 1, 76–84

[15] Optimizatsiya prostranstvennykh konstruktsii na osnove gibridnoi neirosetevoi programmy, avtoreferat dis. ... kand. tekhn. nauk, Krasnoyarsk, 2005, 20 pp.

[16] M.B. Kadri, S. Nisar, S.Z. Khan, W.A. Khan, “Comparison of ANN and finite element model for the prediction of thermal stresses in diode laser cutting of float glass”, Optik - Int. J. Light Electron Optics, 126:19 (2015), 1959–1964 | DOI

[17] S. Rusia, K. Pathak, “Application of Artificial Neural Network for Analysis of Triangular Plate with Hole Considering Different Geometrical and Loading Parameters”, Open Journal of Civil Engineering, 6:1 (2016), 31–41 | DOI

[18] L. Segerlind, Primenenie metoda konechnykh elementov, Mir, M., 1979, 392 pp.

[19] N.N. Shabrov, Metod konechnykh elementov v raschetakh detalei teplovykh dvigatelei, Mashinostroenie, L., 1983, 212 pp.

[20] A.B. Kaplun, E.M. Morozov, M.A. Olfereva, ANSYS v rukakh inzhenera, prakticheskoe rukovodstvo, Editorial URSS, M., 2003, 272 pp.

[21] A.V. Chigarev, A.S. Kravchuk, A.F. Smalyuk, ANSYS dlya inzhenerov, spravochnoe posobie, Mashinostroenie, M., 2004, 512 pp.

[22] A.S. Shalumov i dr., Vvedenie v ANSYS: prochnostnoi i teplovoi analiz, uchebnoe posobie, KGTA, Kovrov, 2002, 52 pp.

[23] L.D. Kovalenko, Osnovy termouprugosti, Naukova dumka, Kiev, 1970, 307 pp.

[24] Yu.A. Kontsevoi, Yu.M. Litvinov, E.A. Fattkhov, Plastichnost i prochnost poluprovodnikovykh materialov i struktur, Radio i svyaz, M., 1982, 240 pp.

[25] V.L. Balkevich, Tekhnicheskaya keramika, ucheb. posobie dlya vtuzov, 2-e izd., Stroiizdat, M., 1984, 256 pp.

[26] S.M. Barinov, V.Ya. Shevchenko, Prochnost tekhnicheskoi keramiki, Nauka, M., 1996, 159 pp.

[27] G.P. Karzov, B.Z. Margolin, V.A. Shevtsova, Fiziko-mekhanicheskoe modelirovanie protsessov razrusheniya, Politekhnika, SPb., 1993, 391 pp.

[28] V.A. Levin, E.M. Morozov, Yu.G. Matvienko, Izbrannye nelineinye zadachi mekhaniki razrusheniya, FIZMATLIT, M., 2004, 408 pp.

[29] E.A. Kolenko, Tekhnologiya laboratornogo eksperimenta, spravochnik, Politekhnika, SPb., 1994, 751 pp.

[30] A.A. Krasnoshchekov, B.V. Sobol, A.N. Solov'ev, A.V. Cherpakov, “Identification of crack-like defects in elastic structural elements on the basis of evolution algorithms”, Russian Journal of Nondestructive Testing, 47:6 (2011), 412–419 | DOI