Application of analytical methods for predicting the structures of steel phase transformations in welded joints

• Autorzy: Piekarska W. , Goszczyńska D. , Saternus Z.

Identyfikatory

DOI

10.17512/jamcm.2015.2.07

• Języki publikacji: EN

Abstrakty

EN

The paper presents the feasibility the prediction of phase structures of the medium carbon S355 steel under the transformations running in welding process by using analytical methods. The relationships proposed here allow to specify start and finish temperatures of phase transformations in the case of formation of bainite, ferrite, pearlite and martensite structures at various cooling rates v8/5 (t8/5) as well. Continuous-Cooling-Transformation (CCT) diagram and volumetric fractions of each steel phases possible to occur are determined in function of cooling rates. Analytically obtained values are compared with results obtained by dilatometric research. Correctness of applied analytical methods in this field has been verified when the structure compositions formed in the heat affected zone (HAZ) of electric arc butt-welded sheets made of the S355 steel were predicted.

Słowa kluczowe

EN

phase transformations; phase volumetric fraction; heat-affected zone; analytical methods; butt-welded joint

• Wydawca: Wydawnictwo Politechniki Częstochowskiej
• Czasopismo: Journal of Applied Mathematics and Computational Mechanics
• Rocznik: 2015
• Tom: Vol. 14, nr 2
• Strony: 61--72
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Piekarska W.

• Institute of Mechanics and Machine Design Foundations, Częstochowa University of Technology Częstochowa, Poland

autor

Goszczyńska D.

• Institute of Mechanics and Machine Design Foundations, Częstochowa University of Technology Częstochowa, Poland

autor

Saternus Z.

• Institute of Mechanics and Machine Design Foundations, Częstochowa University of Technology Częstochowa, Poland

Bibliografia

• [1] Perret W., Schwenk C., Rethmeier M., Comparison of analytical and numerical welding temperature field calculation, Computational Materials Science 2010, 47, 1005-1015.
• [2] Mikuła J., Analityczne metody oceny spawalności stali, Zeszyty Naukowe Mechanika nr 85, Politechnika Krakowska, Kraków 2001.
• [3] Seyffarth P., Kasatkin O.G., Mathematisch-statistische Beschreibung der Austenitumwandlung in der Wärmeeinflußzone, Schweißtechnik 1979, 29, 117-119.
• [4] Kasatkin O.G., Seyffart P., Interpolâcionnye modeli dlâ ocenki fazovogo sostava zony termičeskogo vliâniâ pri dugovoj svarke nizkolegirovannyh stalej, Avtomat. Svarka 1984, 1, 7-11.
• [5] Makhnenko V.I., Saprygina G.U., Rol’ matematiceskogo modelirovania v resenii problem svarki raznorodnyh stalej, Avtomat. Svarka 2002, 3, 18-28.
• [6] Mittemeijer E.J., Sommer F., Solid state phase transformation kinetics: a modular transformation model, Z. Metallkd. 2002, 93, 352-360.
• [7] Piekarska W., Analiza numeryczna zjawisk termomechanicznych procesu spawania laserowego. Pole temperatury, przemiany fazowe i naprężenia, seria Monografie nr 135, Wydawnictwo Politechniki Częstochowskiej, Częstochowa 2007.
• [8] Tasak E., Metalurgia spawania, Wyd. JAK, Kraków 2008.
• [9] Shen H., Shi Y., Yao Z., Hu J., An analytical model for estimating deformation in laser forming, Computational Materials Science 2006, 37, 593-598.
• [10] Elmer J., Palmer T.A., Zhang W., Wood B., DebRoy T., Kinetic modeling of phase transformation occuring in the HAZ of C-Mn steel welds based on direct observations, Acta Materialia 2003, 51, 12, 3333-3349.
• [11] Seyffart P., Kasatkin O.G., Rascentnye modeli dla ocenki mechaniceskich svojstv metalla ZTV pri svarke nizkoegirovannych stalej, Proc. Int. Conference Mechanical Modelling and Information Technologies in Welding and Related Processes, ed. V.I. Makhnenko, Katsiveli, Crimea, E.O. Paton Welding Inst. of NAS of Ukraine, Kiev 2002, 103-106.
• [12] Zaczek Z., Ćwiek J., Prediction of HAZ hardness in welds of quenched and tempered HSLA steels, Welding Journal, res. supp. 1993, 1, 37-40.
• [13] Winczek J., Rygał G., Modelling of a temporary temperature field during arc weld surfacing of steel elements taking into account heat of the weld, J. Appl. Math. Comput. Mech. 2015, 14, 111-120.
• [14] Franco A., Romoli L., Musacchio A., Modelling for predicting seam geometry in laser beam welding of stainless steel, International Journal of Thermal Sciences 2014, 79, 194-205.
• [15] Piekarska W., Kubiak M., Theoretical investigations into heat transfer in laser-welded steel sheets, J. Therm. Anal. Calorim. 2012, 110, 159-166.
• [16] Makhnenko V.I., Velikoivanenko E.A., Makhnenko O.V., Rozynka G.F., Pivtorak N.I., Issledovanie vlijanija fazovych prevrascenij na ostatocnye naprjazenija pri svarke kol’cevych stykov trub., Avtomaticeskaja Svarka 2000, 5, 3-8.
• [17] Piekarska W., Bokota A., Modelirovanie ostatocnych naprjazenij pri lazernoj svarke, Avtomaticeskaja Svarka 2008, 6, 25-31.
• [18] SIMULIA Dassault System, Abaqus theory manual, Version 6.7, 2007.
• [19] Goldak J. A., Computational Welding Mechanics, Springer, New York 2005.