Study of factors affecting the weld of M42 cobalt band saw blades using a laser welding process

Authors

  • Tanatporn Cittayanurak -

Keywords:

Laser welding, Band saw blades, Minitab, Tensile Test, Tensile Stress

Abstract

This study aimed to investigate and analyze the factors affecting the tensile stress of Cobalt M42 band saw blades after being welded using a UG-1000LW laser welding machine, employing flux-cored filler wire. The tensile testing was performed using a WAW-1000 Electro-Hydraulic Servo Tensile Testing Machine following the DIN EN ISO 6892-1 standard. The average tensile stress observed was 72 MPa. The experimental factors included laser power (20%, 30%, and 40%), wire feed rate (6, 8, and 10 meters per minute), and joint gap distance (0.3, 0.6, and 0.9 millimeters). A full factorial experimental design was employed, comprising 81 trials with a confidence level of 95%. The results of an ANOVA analysis revealed that all three factors, as well as one interaction between laser power and wire feed rate, significantly affected the tensile stress. The P-values for laser power, wire feed rate, and joint gap distance were 0.033, 0.000, and 0.034, respectively. Additionally, the interaction between laser power and wire feed rate yielded a P-value of 0.000. The model showed a coefficient of determination (R²) of 92.86%, indicating a high degree of fit. Optimal welding parameters identified using the Response Optimizer were laser power at 40%, wire feed rate at 10 m/min, and joint gap distance at 0.3 mm. These conditions yielded a maximum tensile stress of 77.33 MPa, which is higher than the pre-weld tensile stress, confirming that the optimized parameters enhance the mechanical integrity of the welded joint. Consequently, it can be concluded that the optimized welding parameters enable the reuse of band saw blades, prevent failure at the original weld joint, and reduce the cost of purchasing new blades.

References

Carpenter Technology, "M42® Specialty Alloy," [Online]. Available: https://www.carpentertechnology.com/alloy-finder/m42. [Accessed: March 7, 2024].

Zhang, H., Chen, G., Zhang, Y., Zhang, H., & Liu, J. (2016). Study of the microstructure and properties of m42×32 dissimilar metal CO2 laser welding joints. Optik, 127(4), 2052–2056.

Bergmann, J. P., & Stambke, M. (2014). Fatigue of laserbeam welded joints of high-carbon steel strips. Physics Procedia, 56, 435–443.

Materials Science and Metallurgy Department, University of Cambridge, England. July (2002) LASER WELDING - Literature Review.

Cao, Y., et al. (2018). Optimizing pulsed Nd:YAG laser beam welding process for thin AISI 316L sheet. Optics & Laser Technology, 108, 347–356.

Patel, P., et al. (2019). Parameter Optimization for Laser Welding of High Strength Dissimilar Materials. Materials Today: Proceedings, 18, 1573–1580.

Montgomery, D. C. (2017). Design and analysis of experiments (9th ed.). Wiley.

Kumar, A., Patel, R., & Singh, S. (2022). Multi-objective optimization of laser welding parameters using response surface methodology. Journal of Manufacturing Processes, 76, 123-135.

Singh, M., Sharma, P., & Gupta, V. (2021). Modeling and prediction of tensile strength in laser welded joints using regression and optimization techniques. Materials Today: Proceedings, 45(5), 982-990.

Lazarchuk, K., & Rebezniuk, I. (2022). Increasing the strength of the welded joint in band saws. PRO LIGNO, 18(2), 29–38.

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Published

2025-06-30

How to Cite

Cittayanurak, Tanatporn. 2025. “Study of factors affecting the weld of M42 cobalt band saw blades using a laser welding process”. Journal of Engineering and Innovative Research 3 (1). Khon Kaen, Thailand:36-47. https://ph03.tci-thaijo.org/index.php/JEIRKKC/article/view/3906.