Optimizing Accuracy of Abrasive Waterjet Cutting System: A Comprehensive Study on Mechanical and Software Compensation Strategies on 5-Axis CNC Waterjet Cutting Machine and Analysis Using Design FMEA

Yıl 2025, Cilt: 8 Sayı: 5, 1493 - 1503, 15.09.2025

Uğur Şimşir

https://doi.org/10.34248/bsengineering.1687682

Öz

Abrasive Waterjet cutting technology is more environmentally friendly than other methods like plasma and laser cutting. As a cold cutting method, it does not use flammable gases. Furthermore, it uses water and natural garnet as abrasive materials. The amount of waste is significantly lower compared to other methods. This study aims to increase cutting speed and efficiency while lowering carbon emissions by controlling the taper angle and enhancing machine sensitivity. The primary objective of this study was to optimize errors caused by the kerf and the taper angle in a waterjet cutting machine, both mechanically and during the cutting process. The goal of increasing precision was achieved successfully. A 10 mm thick SS314 Steel was processed using a CNC waterjet cutting device. Mechanical compensation was performed using a laser-based algorithm that measured and compensated for values at 10 mm intervals along the X and Y axes. After determining the waterjet's taper angle, the 5-axis cutting head was aligned perpendicular to the edge to ensure accuracy. The most efficient cutting parameters were found to be a pressure of 3.750 bar, an abrasive flow rate of 0.4 kg/m, a 1.02 mm nozzle, a 0.35 mm orifice, and 80 mesh garnet abrasive. The cutting speed was set at 300 mm/min. The taper angle was 1 degree, and the 5-axis machining head was positioned perpendicularly to the material's edge. Cutting was performed by tilting the head by 1 degree to effectively eliminate the taper angle effect. Design FMEA, as defined by the FMEA Tables of the IATF 16949 Automotive Standard, is typically used to identify the most critical characteristics. The patent for this original study is registered with the Patent Office (Patent no: TR 2018 20101). The improvements in cutting angle and precision have increased machine efficiency, which in turn has led to higher cutting speeds and reduced carbon emissions. By controlling the cutting angle, a thinner kerf is created, which leads to a reduction in waste.

Anahtar Kelimeler

Taper angle , High precision , Compensation , Sustainability , Automation , Machine design

Etik Beyan

Ethics committee approval was not required for this study because of there was no study on animals or humans.

Teşekkür

The author would like to thank Prof. Dr. Ufuk Cebeci for his valuable comments and support.

Kaynakça

• Bohez ELJ. 2001. Compensating for systematic errors in 5-axis NC machining. Comput-Aided Des, 34: 391–403.
• Bohez ELJ. 2002. Five-axis milling machine tool kinematic chain design and analysis. Int J Mach Tools Manuf. 42(4): 505–520.
• Chen, et al., 2019. Correcting shape error located in cut in/cut out region in abrasive water jet cutting process. Int J Adv Manuf Technol, 2019: 102.
• Feng S, Huang C, et al., 2019. Surface quality evaluation of single crystal 4H-SiC wafer machined by hybrid laser-waterjet: Comparing with laser machining. Mater Sci Semicond Process, 93: 238-251.
• Givi M, Mayer JRR. 2014. Validation of volumetric error compensation for a five-axis machine using surface mismatch producing tests and on-machine touch probing. Int J Mach Tools Manuf, 87: 89-95.
• Harničárová M, Valíček J, et al., 2013. Comparison of non-traditional technologies for material cutting from the point of view of surface roughness. Int J Adv Manuf Technol, 69: 81-91.
• Hsu YY, Lei WT. 2003. Accuracy enhancement of five-axis CNC machines through real-time error compensation. Int J Mach Tools Manuf, 43: 871-877.
• Hsu YY, Wang SS. 2007. A new compensation method for geometry errors of five-axis machine tools. Int J Mach Tools Manuf, 47: 352-360.
• Ibaraki S, Iritani T, Matsushita T. 2012. Calibration of location errors of rotary axes on five-axis machine tools by on-the-machine measurement using a touch-trigger probe. Int J Mach Tools Manuf, 58: 44-53.
• Ibaraki S, Knapp W. 2012. Indirect measurement of volumetric accuracy for three-axis and five-axis machine tools: a review. Int J Autom Technol, 6(2): 110-124.
• Ibaraki S, Ota Y. 2014. A machining test to calibrate rotary axis error motions of five-axis machine tools and its application to thermal deformation test. Int J Mach Tools Manuf, 86: 81-88.
• Karacan İ, Erdoğan İ, İğdil M, Cebeci U. 2021. Machine vision supported quality control applications in rotary switch production by using both process FMEA and design FMEA. Nat Appl Sci J, 4(2): 16-31.
• KMT Waterjet Manual and Operation Books. UK, London, UK, pp: 25-26.
• Krajcarz D. 2014. Comparison Metal Water Jet Cutting with Laser and Plasma Cutting. Procedia Eng, 69: 838-843.
• Lianjun Z, Chunli H, Guangjun C. 2014. Application of tool compensation in CNC machining. Mater Sci Forum, 800–801: 435-439.
• Lin W, Lei Y, Zhang S, Wu Z. 2021. Visualization and evaluation of the spatial kinematic rotation error of a five axis abrasive water jet cutting head. Int J Adv Manuf Technol, 114: 3217-3228.
• Liu HT, Miles P, Veenhuizen SD. 1998. CFD and physical modeling of UHP AWJ. Jenny Stanford Publishing, Singapore, pp: 121-137.
• Liu ZF, Li DD, Liu ZZ. 2014. Gantry machining tool assembly method and predictive optimization based on multi-body system. Comput Integr Manuf Syst, 20: 394-400.
• Lu H, Cheng Q, Zhang X, Liu Q, Qiao Y, Zhang Y. 2020. A novel geometric error compensation method for gantry-moving CNC machine regarding dominant errors. Processes, 8(8): 906.
• Okafor AC, Ertekin YM. 2000. Derivation of machine tool error models and error compensation procedure for three axes vertical machining center using rigid body kinematics. Int J Mach Tools Manuf, 40: 1199-1213.
• Öner M, Cebeci U, Doğan O. 2024. BSC-based digital transformation strategy selection and sensitivity analysis. Mathematics, 12(2): 225.
• Patel AJ, Ehman KF. 1997. Volumetric error analysis of a stewart platform-based machine tool. Ann CIRP. 46(1).
• Polzer A, Piska M, Dufkova K. 2014. On the modern CNC milling with a compensation of cutting tools deflections. DAAAM Int Sci Book, 2014: 311-322.
• Rajamani D, Balasubramanian E, Dilli Babu G, Ananthakumar K. 2022. Experimental investigations on high precision abrasive waterjet cutting of natural fibre reinforced nano clay filled green composites. J Ind Text, 51(3_suppl): 3786S-3810S.
• Ramesh R, Mannan MA, Poo AN. 2000. Error compensation in machine tools: a review. Int J Mach Tools Manuf, 40(9): 1235-1256.
• Schwenke H, Knapp W, Haitjema H, Weckenmann A, Schmitt R, Delbressine F. 2008. Geometric error measurement and compensation of machines: an update. CIRP Ann, 57: 660-675.
• Simsir U, Biçer K. 2018. Patent no: TR 2018 20101 B CNC waterjet cutting machine with six-axis movement capability. Turkish Patent and Trademark Office, Ankara, Türkiye.
• Veldhuis SC, Elbestawi MA. 1995. A strategy for the compensation of errors in five-axis machining. Ann CIRP, 44(1): 373-377.
• Wan L, Xiong J, et al., 2023. Feasible study on the sustainable and clean application of steel slag for abrasive waterjet machining. J Clean Prod, 420: 138378.
• Wang, et al., 2019. Kinematic error compensation of a double swivel head in five axis abrasive water jet machine tool. Int J Adv Manuf Technol, 103: 2783-2793.
• Xiang S, Altintas Y. 2016. Modeling and compensation of volumetric errors for five-axis machine tools. Int J Mach Tools Manuf, 101: 65-78.
• Yang J, Altintas Y. 2013. Generalized kinematics of five-axis serial machines with non-singular tool path generation. Int J Mach Tools Manuf, 75: 119-132.
• Yang J, Mayer JRR, Altintas Y. 2015. A position independent geometric errors identification and correction method for five-axis serial machines based on screw theory. Int J Mach Tools Manuf, 95: 52-66.
• Yun H, Zou B, Wang J, Huang C, Li S. 2019. Optimization of energy consumption in coating removal for recycling scrap coated cemented carbide tools using hybrid laser-waterjet. J Clean Prod, 229: 104-114.