Analysis of the Effect of Linear Oscillation Parameters on the Laser Weld Strength of DP1180 Steels Using the Taguchi Method

Year 2025, Volume: 4 Issue: 2, 87 - 95, 29.12.2025

Samet Karabulut , Ahmet Baha İnal , İbrahim Yönel , Celalettin Yuce

https://doi.org/10.70395/cunas.1829589

Abstract

This study experimentally investigated the effects of welding parameters on the mechanical performance of DP1180 advanced high-strength steel (AHSS) sheets commonly used in the automotive industry, using a laser welding method. The experiments were performed using a 5 kW fiber laser welding system equipped with a wobble-head unit capable of linear beam oscillation. Welding speed, oscillation amplitude, and oscillation frequency were selected as the primary process parameters, while laser power was kept constant at 1000 W. Parameter optimization was carried out using the Taguchi L9 orthogonal array, and the mechanical performance of the welds was assessed via tensile testing. The results showed that fracture strength was significantly affected by oscillation frequency and amplitude. Taguchi analysis identified the optimal parameters as 2.5 m/min welding speed, 0.6 mm amplitude, and 100 Hz oscillation frequency. ANOVA revealed that oscillation frequency was the dominant factor (≈45%), followed by amplitude (≈32%), whereas welding speed contributed only about 10%. The findings showed that applying linear oscillation improves weld-pool stability, promotes more uniform melting, and enhances overall weld-seam integrity.

Keywords

Laser welding , DP1180 , Linear oscillation , Wobble-head , Taguchi method , ANOVA , Mechanical performance

Ethical Statement

Not applicable.

Supporting Institution

This work was supported by the Scientific and Technical Research Council of Turkey (TUBITAK) 1505 - University-Industry Collaboration Support Program under Grant No. 5230003.

Project Number

(TUBITAK) 1505- University-Industry Collaboration Support Program under Grant No. 5230003.

References

• [1] Tarng, Y.S., Juang, S.C., Chang, C.H. (2002). The use of grey-based Taguchi methods to determine submerged arc welding process parameters in hardfacing. J Mater Process Technol; 128(1–3):1–6.
• [2] Kim, D., Rhee, S. (2001). Optimization of arc welding process parameters using a genetic algorithm. Weld J; 80(7):184–s.
• [3] Barnes, P.R., Lee, D.H. (2022). Residual stress control in laser welded DP1180 joints. J Mater Process Technol; 303:117506.
• [4] Antony, J. (2000). Improving the manufacturing process quality and capability using experimental design: A case study. Int J Prod Res; 38(12):2607–2618.
• [5] Chen, X., Liu, Y., Zhang, H. (2019). Effect of laser beam oscillation on porosity formation in welding of AHSS. Opt Laser Technol; 115:41–49.
• [6] Nakamura, T., Sato, K. (2012). Heat input control for minimizing distortion in laser welded DP1180. Weld Int; 26(10):770–778.
• [7] Nguyen, T., Pham, D. (2015). Optimization of laser welding for automotive steels using Taguchi method. Int J Adv Manuf Technol; 81(9):1905–1913.
• [8] Karabulut, S., Esen, İ. (2023). SCGADUB1180 yüksek mukavemetli sacında proses parametrelerinin geri esneme davranışına etkisi. Pamukkale Univ Muh Bilim Derg; 29(1):68–75.
• [9] Alves, P.H.O.M., Lima, M.S.F., Raabe, D., Sandim, H.R.Z. (2018). Laser beam welding of dual-phase DP1000 steel. J Mater Process Technol; 252:498–510.
• [10] Qiu, R., Sun, H. (2011). Process optimization in laser welding of AHSS sheets. J Mater Process Technol; 211(10):1900–1907.
• [11] Rivas, D., Herrera, A. (2024). Effect of beam wobble frequency on high-strength steel welding. Weld World; 68(2):305–316.
• [12] Shang, J., Xu, L. (2016). Numerical modeling of residual stress in laser welded DP1000. Comput Mater Sci; 112:253–260.
• [13] Sun, Q., Zhao, L. (2018). Keyhole behavior during wobble laser welding of steels. J Manuf Process; 35:523–532.
• [14] Tanaka, M., Kobayashi, H. (2022). Advanced control of laser beam oscillation for automotive welding. J Laser Appl; 34(3):032005.
• [15] Cho, Y., Kim, H. (2018). Mechanical behavior of laser-welded DP steels under crash loading. Metall Mater Trans A; 49(7):3011–3023.
• [16] Ding, H., Zhang, Y. (2016). Laser beam oscillation strategies for improved weld quality. J Manuf Process; 23:166–174.
• [17] Fang, Y., Xu, G. (2017). Optimization of laser welding parameters for DP980 steel sheets. Weld World; 61(5):967–976.
• [18] Gao, M., Zeng, X. (2014). Laser beam oscillating welding of advanced steels: process and microstructure. Mater Des; 56:313–321.
• [19] Han, S., Park, J. (2015). Influence of heat input on microstructure of laser welded DP steels. Mater Charact; 107:131–139.
• [20] Huang, Y., Chen, S. (2019). Laser welding of advanced high strength steels for automotive applications. J Manuf Sci Eng; 141(12):121001.
• [21] Ji, S., Wang, H. (2020). Beam wobbling effects on weld pool dynamics in laser welding. Opt Laser Eng; 128:106015.
• [22] Ma, Q., Li, X. (2019). Weld quality assessment of DP800 steel under varying welding parameters. Weld J; 98(8):233–241.
• [23] Martínez, A., Pérez, J. (2014). Mechanical characterization of laser welded DP steels for automotive industry. Mater Sci Forum; 783:877–882.
• [24] Liu, F., Xu, Z. (2018). Comparative study of wobble and static laser welding. Opt Express; 26(22):29001–29012.
• [25] Luo, Z., Shi, Y. (2020). Effect of laser power and oscillation on weld morphology of DP steels. J Mater Res Technol; 9(6):14567–14576.
• [26] Wang, Y., Zhou, M. (2019). Fatigue properties of laser welded DP steels. Int J Fatigue; 127:216–225. [27] Zhang, J., Chen, L. (2010). Influence of welding speed on microstructure of DP780 steel. Mater Sci Eng A; 527(24):6605–6611.
• [28] Hejazi, M., Turan, M., Turkkan, Y., Karpat, F., & Yuce, C. 2026. Effect of laser beam oscillation parameters on weld geometry and mechanical properties of dissimilar dual-phase steel welds. Materials Testing 68(1): 24–36. https://doi.org/10.1515/mt-2025-0283
• [29] Yang, J., Li, T., Ye, W., Chen, J., & Qiao, J. (2023). Effect of Beam Oscillation Amplitude on Microstructure and Mechanical Properties of Small Laser Spot Welded QP980 Steel. Metals, 13(8), 1363. https://doi.org/10.3390/met13081363
• [30] Unal, R., Dean, E.B. (1990). Taguchi approach to design optimization for quality and cost: an overview. Proc Int Soc Parametric Analysts Conf; 1–6.
• [31] Phadke, M.S. (1995). Quality Engineering Using Robust Design. Prentice Hall PTR, New Jersey.
• [32] Antony, J., Bhat, S., Mittal, A., Jayaraman, R., Gijo, E.V., Cudney, E.A. (2024). Application of Taguchi design of experiments in the food industry: a systematic literature review. Total Qual Manag Bus Excell; 35(5–6):687–712.
• [33] Below, P.D.O.A.L. (2000). Experiments Planning Analysis and Parameter Design Optimization. McGraw-Hill, New York.
• [34] Simpson, J.R. (1996). Taguchi Techniques for Quality Engineering. Addison-Wesley, Reading, MA.
• [35] Antony, J., Perry, D., Wang, C., Kumar, M. (2006). An application of Taguchi method of experimental design for new product design and development process. Assembly Automation Conf Proc; 18–24.
• [36] Katayama, S. (2013). Laser Welding: Fundamentals and Applications. Woodhead Publishing, Cambridge.
• [37] Ouamer, S., Iltaf, A., Barka, N., & Dehghan, S. (2024). Effect of beam oscillation patterns on laser welding of 304L stainless steel: An experimental and modeling study. Engineering Science & Technology; 5(2): 450–466. https://doi.org/10.37256/est.5220244307
• [38] Jiang, N., Jiang, M., Chen, X., Ma, S., Chen, Y., Wang, Z., & Yang, L. (2023). Effect of beam oscillation on weld formation, microstructure and mechanical properties in vacuum laser beam welding of thick section 5083 aluminum alloy. Optics & Laser Technology; 171: 110408. https://doi.org/10.1016/j.optlastec.2023.110408
• [39] Effect of oscillation frequency on the mechanical properties and failure behaviors of laser beam welded 22MnB5 weld. (2023). Journal of Materials Research and Technology; 22: 1436–1448. https://doi.org/10.1016/j.jmrt.2022.12.013
• [40] Wang, C., Mao, Z., & Li, Q. (2020). A study on laser beam oscillating welding characteristics for the 5083 aluminum alloy: morphology, microstructure and mechanical properties. Journal of Manufacturing Processes; 53: 12–20. https://doi.org/10.1016/j.jmapro.2020.01.018
• [41] Öztürk, E., & Arıkan, H. (2023). Investigation of mechanical properties of laser welded dual phase steels at macro and micro levels. Optics & Laser Technology; 157: 108713. https://doi.org/10.1016/j.optlastec.2022.108713
• [42] Chen, C., Zhou, H., Wang, C., Liu, L., Zhang, Y., & Zhang, K., (2021). Laser welding of ultra-high strength steel with differ-ent oscillating modes.Journal of Manufacturing Processes, 68, 761–769. https://doi.org/10.1016/j.jmapro.2021.06.004
• [43] Wang, Z., & Gao, M., (2024). Numerical simulations of oscillating laser welding: A review. Journal of Manufacturing Processes, 119, 744–757. https://doi.org/10.1016/j.jmapro.2024.04.001
• [44] Zeng, X., Lu, C., Zhu, Q., Cui, X., Li, Z., Shi, W., Zhang, R., Liu, X., & Tie, D., (2024). Effect of oscillating amplitude on microstructure and mechanical property of laser welding of dissimilar stainless steel. Coatings, 14(12), 1617. https://doi.org/10.3390/coatings14121617
• [45] Çavuşoğlu, O., Aydın, H., Eroğlu, M., & Davut, K., (2025). Influence of oscillating fiber laser welding process parameters on the fatigue response and mechanical performance of butt-jointed TWIP980 steels. Materials Testing, 67(7), 1115–1126. https://doi.org/10.1515/mt-2025-0028