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Lasers in Manufacturing and Materials Processing

Erschienen in:

16.11.2020

Laser Cladding of Stellite-6 on AISI 316 L Austenitic Stainless Steel: Empirical-Statistical Modeling and Parameter Optimization

verfasst von: Jeferson Trevizan Pacheco, Leandro João da Silva, Luiz Delagnelo Barbetta, Henrique Santos Ferreira, Marcelo Taveira Veiga, Renato Forni, Moisés Felipe Teixeira

Erschienen in: Lasers in Manufacturing and Materials Processing | Ausgabe 1/2021

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Abstract

This work aimed to develop an empirical statistical model to determine the optimized parameters for depositing multi-bead single layer Stellite-6 coating on AISI 316 L austenitic stainless steel by laser cladding. A full factorial experimental design was carried out to establish a correlation between processing parameters (laser power, scanning speed and powder feed rate) and geometric characteristics of the coatings (dilution, peak height and surface waviness) through multiple regression. Optimized deposition parameters were estimated by desirability function and experimentally validated. The microstructure and microhardness were assessed as a mean of estimate the performance of optimized coating. The empirical-statistical model and optimization method proposed in this work were demonstrated to be valuable tools for process optimization with low computational cost. This would contribute for a higher material efficiency and reducing post-processing operations, such as machining. As expected for Stellite-6 coatings, the microstructure was composed of dendrites rich in cobalt and interdendritic regions composed of chromium carbides. The microhardness level corroborates the literature, suggesting that the performance was not compromised in favor of the coating geometry.

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Nabhani, M., Razavi, R.S., Barekat, M.: An empirical-statistical model for laser cladding of Ti-6Al-4V powder on Ti-6Al-4V substrate. Opt Laser Technol. 100, 265–271 (2018). https://doi.org/10.1016/j.optlastec.2017.10.015CrossRef

de Oliveira, U., Ocelík, V., De Hosson, J.T.M.: Analysis of coaxial laser cladding processing conditions. Surf. Coatings Technol. 197(2-3), 127–136 (2005). https://doi.org/10.1016/j.surfcoat.2004.06.029CrossRef

Paulo Davim, J., Oliveira, C., Cardoso, A.: Predicting the geometric form of clad in laser cladding by powder using multiple regression analysis (MRA). Mater Des. 29(2), 554–557 (2008). https://doi.org/10.1016/j.matdes.2007.01.023CrossRef

Farahmand, P., Kovacevic, R.: Parametric study and multi-criteria optimization in laser cladding by a high power direct diode laser. Lasers Manuf Mater Process. 1(1-4), 1–20 (2014). https://doi.org/10.1007/s40516-014-0001-0CrossRef

Lian, G., Yao, M., Zhang, Y., Chen, C.: Analysis and prediction on geometric characteristics of multi-track overlapping laser cladding. Int J Adv Manuf Technol. 97(5-8), 2397–2407 (2018). https://doi.org/10.1007/s00170-018-2107-6CrossRef

Alizadeh-Sh, M., Marashi, S.P.H., Ranjbarnodeh, E., Shoja-Razavi, R., Oliveira, J.P.: Prediction of solidification cracking by an empirical-statistical analysis for laser cladding of Inconel 718 powder on a non-weldable substrate. Opt Laser Technol. 128, 106244 (2020). https://doi.org/10.1016/j.optlastec.2020.106244CrossRef

da Silva, L.J., D’Oliveira, A.S.C.M.: NiCrSiBC coatings: effect of dilution on microstructure and high temperature tribological behavior. Wear. 350–351, 130–140 (2016). https://doi.org/10.1016/j.wear.2016.01.015CrossRef

Xi, W., Song, B., Zhao, Y., Yu, T., Wang, J.: Geometry and dilution rate analysis and prediction of laser cladding. Int J Adv Manuf Technol. 103(9-12), 4695–4702 (2019). https://doi.org/10.1007/s00170-019-03932-7CrossRef

Chai, T., Draxler, R.R.: Root mean square error (RMSE) or mean absolute error (MAE)? -arguments against avoiding RMSE in the literature. Geosci Model Dev. 7(3), 1247–1250 (2014). https://doi.org/10.5194/gmd-7-1247-2014CrossRef

10.

Liu, S., Kovacevic, R.: Statistical analysis and optimization of processing parameters in high-power direct diode laser cladding. Int J Adv Manuf Technol. 74(5-8), 867–878 (2014). https://doi.org/10.1007/s00170-014-6041-yCrossRef

11.

Deka, D., Das, S.P., Sahoo, N., Das, D., Jawed, M., Goyal, D., Goyal, A.: Enhanced Cellulase production from Bacillus subtilis by optimizing physical parameters for bioethanol production. ISRN Biotechnol. 2013, 1–11 (2013). https://doi.org/10.5402/2013/965310CrossRef

12.

Javid, Y.: Multi-response optimization in laser cladding process of WC powder on Inconel 718. CIRP J Manuf Sci Technol. (2020). https://doi.org/10.1016/j.cirpj.2020.07.003

13.

Zhao, Y., Guan, C., Chen, L., Sun, J., Yu, T.: Effect of process parameters on the cladding track geometry fabricated by laser cladding. Optik (Stuttg). 223 (2020). https://doi.org/10.1016/j.ijleo.2020.165447

14.

Lian, G., Yao, M., Liu, Z., Yang, S., Chen, C., Wang, H., Xiang, Y., Cong, W.: Near-net shaping control of triangular stacking in laser cladding process. Procedia Manuf. 34, 233–238 (2019). https://doi.org/10.1016/j.promfg.2019.06.144CrossRef

15.

Liu, H., Hu, Z., Qin, X., Wang, Y., Zhang, J., Huang, S.: Parameter optimization and experimental study of the sprocket repairing using laser cladding. Int J Adv Manuf Technol. 91(9-12), 3967–3975 (2017). https://doi.org/10.1007/s00170-017-0066-yCrossRef

16.

Scipioni, U., Wolfer, A.J., Matthews, M.J., Delplanque, J.R., Schoenung, J.M.: On the limitations of volumetric energy density as a design parameter for selective laser melting. JMADE. 113, 331–340 (2017). https://doi.org/10.1016/j.matdes.2016.10.037CrossRef

17.

Salonitis, K., D’Alvise, L., Schoinochoritis, B., Chantzis, D.: Additive manufacturing and post-processing simulation: laser cladding followed by high speed machining. Int J Adv Manuf Technol. 85(9-12), 2401–2411 (2016). https://doi.org/10.1007/s00170-015-7989-yCrossRef

18.

Teixeira, M.F., Veit Schmachtenberg, V.A., Tontini, G., Lana Semione, G.D., Weingaertner, W.L., Drago, V.: Laser composite surfacing of A681 steel with WC + Cr + co for improved wear resistance. J Mater Res Technol. 6(1), 33–39 (2017). https://doi.org/10.1016/j.jmrt.2016.04.002CrossRef

19.

Singh, R., Kumar, D., Mishra, S.K., Tiwari, S.K.: Laser cladding of Stellite 6 on stainless steel to enhance solid particle erosion and cavitation resistance. Surf Coatings Technol. 251, 87–97 (2014). https://doi.org/10.1016/j.surfcoat.2014.04.008CrossRef

20.

Xavier, M.G.C., Souza, T.M.G., Cheung, N., Garcia, A., Spinelli, J.E.: Effects of cobalt and solidification cooling rate on intermetallic phases and tensile properties of a -cu, -Zn, -Fe containing Al-Si alloy. Int J Adv Manuf Technol. 107(1-2), 717–730 (2020). https://doi.org/10.1007/s00170-020-05077-4CrossRef

21.

Chen, Z., Yan, H., Zhang, P., Yu, Z., Lu, Q., Guo, J.: Microstructural evolution and wear behaviors of laser-clad Stellite 6/NbC/h-BN self-lubricating coatings. Surf. Coatings Technol. 372, 218–228 (2019). https://doi.org/10.1016/j.surfcoat.2019.04.083CrossRef

Titel: Laser Cladding of Stellite-6 on AISI 316 L Austenitic Stainless Steel: Empirical-Statistical Modeling and Parameter Optimization
verfasst von: Jeferson Trevizan Pacheco
Leandro João da Silva
Luiz Delagnelo Barbetta
Henrique Santos Ferreira
Marcelo Taveira Veiga
Renato Forni
Moisés Felipe Teixeira
Publikationsdatum: 16.11.2020
Verlag: Springer US
Erschienen in: Lasers in Manufacturing and Materials Processing / Ausgabe 1/2021
Print ISSN: 2196-7229
Elektronische ISSN: 2196-7237
DOI: https://doi.org/10.1007/s40516-020-00132-0

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