Influence of Layer Thickness and Disc Orientation on Additively Manufactured Disc-Shaped Reflectors for Ultrasonic Testing
Source abstract
Abstract
This research investigates the impact of additive manufacturing (AM) parameters on the quality of disc-shaped reflectors (DSRs) embedded within test specimens for ultrasonic testing (UT). Using Direct Metal Laser Sintering (DMLS) technology on MS1 Maraging Steel, the study focuses on two critical AM parameters influencing the staircase effect: layer thickness and disc orientation. These factors affect the dimensional accuracy, shape, and surface quality of the additively manufactured discs. Discs of 1 mm and 2 mm diameter were produced and evaluated for their suitability as reference reflectors for setting the sensitivity of UT systems. A factorial design of experiments (DOE) was applied to quantify the effects of these parameters on the equivalent reflector size (ERS) of discs using the Distance-Gain-Size (DGS) technique. Results show that disc orientation is the dominant factor affecting ultrasonic response, and consequently, ERS value, with optimal results achieved when discs are embedded in the layer direction (0°). The influence of layer thickness is more pronounced for 1 mm discs, where reducing layer thickness to 20 μm enhances reproducibility. For 2 mm discs, the effect of layer thickness is minimal ,allowing for cost-effective production with 50 μm layer thickness. These findings provide guidance for optimising AM process parameters to produce high-quality additively manufactured DSRs, contributing to setting the sensitivity of the UT system.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Additive Manufacturing and 3D Printing Technologies · Additive Manufacturing Materials and Processes · Engineering Technology and Methodologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (43)
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1. Seeber, Q., Vrana, J., Mooshofer, H., Goldammer, M.: Correct sizing of reflectors smaller than one wavelength," in 12th European Conference on Non-Destructive Testing (ECNDT 2018), Gothenburg, Sweden, vol. 12 (2018)
2. Mihaljevic, M., Markucic, D., Katic, M., Grozdanic, M., Kozic, K.: Design of additive manufactured reference block with disk reflectors for sensitivity calibration of ultrasonic angle beam probes," in International Journal of Advanced Manufacturing Technology, vol. 126, pp. 1907–1918, 2023–03–16 (2023). https://doi.org/10.1007/s00170-023-11214-610.1007/s00170-023-11214-6 ↗
3. Sahl, M., Broddegård, M., Lindgren, E., Wirdelius, H.: Ultrasonic signal response from internal manufactured defects in PBF-LB manufactured superalloys," in Sustainable Production Through Advanced Manufacturing, Intelligent Automation And Work Integrated Learning, SPS 2024, 2024–01–01 vol. 52, pp. 135–147 (2024). https://doi.org/10.3233/ATDE24016010.3233/ATDE240160 ↗
4. Pieris, D., Baskaran, M., Cerniglia, A., Seeber, J., Tharayil, P., Davis, G.: Laser Induced Phased Arrays (LIPA) to detect nested features in additively manufactured components. Mater. Des. 187, 108412 (2020). https://doi.org/10.1016/j.matdes.2019.10841210.1016/j.matdes.2019.108412 ↗
5. Kim, C., Yin, H.S., Shmatok, A., Prorok, B.C., Lou, X.Y., Matlack, K.H.: Ultrasonic nondestructive evaluation of laser powder bed fusion 316L stainless steel. Addit. Manuf. 38, 101800 (2021). https://doi.org/10.1016/j.addma.2020.10180010.1016/j.addma.2020.101800 ↗
6. Jimenez, M., Romero, L., Dominguez, I.A., Espinosa, M.D., Dominguez, M.: Additive manufacturing technologies: An overview about 3D printing methods and future prospects. Complexity 2019, 9656938 (2019). https://doi.org/10.1155/2019/965693810.1155/2019/9656938 ↗
7. Everton, S., Dickens, P., Tuck, C., Dutton, B.: Identification of sub-surface defects in parts produced by additive manufacturing, using laser generated ultrasound, presented at the Materials Science and Technology Conference and Exhibition 2016, (2016)
8. Berke, M.: Nondestructive Material testing with ultrasonics - introduction to the basic principles, vol. 5, ed, (2000)
9. Gabilondo, M., Cearsolo, X.X., Arrue, M., Castro, F.: Influence of build orientation, chamber temperature and infill pattern on mechanical properties of 316L parts manufactured by bound metal deposition. Materials 15, 1183 (2022). https://doi.org/10.3390/ma1503118310.3390/ma15031183 ↗
10. Wang, J., et al.: Effects of layer-by-layer ultrasonic impact treatment on microstructure and mechanical properties of 304 stainless steel manufactured by directed energy deposition. Addit. Manuf. 68, 103523 (2023). https://doi.org/10.1016/j.addma.2023.10352310.1016/j.addma.2023.103523 ↗
11. Das, P., Chandran, R., Samant, R., Anand, S.: Optimum part build orientation in additive manufacturing for minimizing part errors and support structures, 43rd North American Manufacturing Research Conference, Namrc 43, vol. 1, pp. 343–354 (2015). https://doi.org/10.1016/j.promfg.2015.09.04110.1016/j.promfg.2015.09.041 ↗
12. Elayeb, A., Tlija, M., Eltaief, A., Louhichi, B., Zemzemi, F.: Minimizing dimensional defects in FFF using a novel adaptive slicing method based on local shape complexity. J. Manufact. Mater. Process. 8(2), 59 (2024). https://doi.org/10.3390/jmmp802005910.3390/jmmp8020059 ↗
13. Brian, K.P., Voorakarnam, V.: Effect of layer thickness and orientation angle on surface roughness in laminated object manufacturing. J. Manuf. Process. 3(2), 94–101 (2001). https://doi.org/10.1016/S1526-6125(01)70124-710.1016/S1526-6125(01)70124-7 ↗
14. Vasudevarao, B., Natarajan, D.P., Henderson, M., Razdan, A.: Sensitivity of RP surface fin-ish to process parameter variation," ed, (2000)
15. Barari, A., Kishawy, H., Kaji, F., Elbestawi, M.: On the surface quality of additive manufactured parts. Int. J. Adv. Manuf. Technol. 89, 1969–1974 (2017). https://doi.org/10.1007/s00170-016-9215-y10.1007/s00170-016-9215-y ↗
16. Verma, A., Tyagi, S., Yang, K.: Modeling and optimization of direct metal laser sintering process. Int. J. Adv. Manuf. Technol. 77(5–8), 847–860 (2015). https://doi.org/10.1007/s00170-014-6443-x10.1007/s00170-014-6443-x ↗
17. Mandache, C.: Overview of non-destructive evaluation techniques for metal-based additive manufacturing. Mater. Sci. Technol. 35(9), 1007–1015 (2019). https://doi.org/10.1080/02670836.2019.159637010.1080/02670836.2019.1596370 ↗
18. Strano, G., Hao, L., Everson, R.M., Evans, K.E.: Surface roughness analysis, modelling and prediction in selective laser melting. J. Mater. Process. Technol. 213(4), 589–597 (2013). https://doi.org/10.1016/j.jmatprotec.2012.11.01110.1016/j.jmatprotec.2012.11.011 ↗
19. Kumbhar, N.N., Mulay, A.V.: Post processing methods used to improve surface finish of products which are manufactured by additive manufacturing technologies: A review. J. Inst. Eng. (India): Series C 99, 481–487 (2016). https://doi.org/10.1007/s40032-016-0340-z10.1007/s40032-016-0340-z ↗
20. Monkova, K., Zetkova, I., Kucerová, L., Zetek, M., Monka, P., Dana, M.: Study of 3D printing direction and effects of heat treatment on mechanical properties of MS1 maraging steel. Arch. Appl. Mech. 89(5), 791–804 (2019). https://doi.org/10.1007/s00419-018-1389-310.1007/s00419-018-1389-3 ↗
21. Kulkarni, P., Marsan, A., Dutta, D.: A review of process planning techniques in layered manufacturing. Rapid Prototyp. J. 6(1), 18–35 (2000). https://doi.org/10.1108/1355254001030985910.1108/13552540010309859 ↗
22. Yang, C., Jeyaprakash, N., Chan, C.: Inhomogeneous mechanical properties in additively manufactured parts characterized by nondestructive laser ultrasound technique. NDT & E Int. 116, 102340 (2020). https://doi.org/10.1016/j.ndteint.2020.10234010.1016/j.ndteint.2020.102340 ↗
23. Narasimharaju, S., et al.: Surface texture characterization of metal selective laser melted part with varying surface inclinations. J. Tribol.-Transactions ASME 143(5), 051106 (2021). https://doi.org/10.1115/1.405045510.1115/1.4050455 ↗
24. Xu, J., Sheng, H., Zhang, S., Tan, J., Deng, J.: Surface accuracy optimization of mechanical parts with multiple circular holes for additive manufacturing based on triangular fuzzy number. Front. Mech. Eng. 16(1), 133–150 (2021). https://doi.org/10.1007/s11465-020-0610-610.1007/s11465-020-0610-6 ↗
25. Viale, V., Stavridis, J., Salmi, A., Bondioli, F., Saboori, A.: Optimisation of downskin parameters to produce metallic parts via laser powder bed fusion process: an overview. Int. J. Adv. Manuf. Technol. 123(7–8), 2159–2182 (2022). https://doi.org/10.1007/s00170-022-10314-z10.1007/s00170-022-10314-z ↗
26. Sobhi, A., Hamoud, M., Barakat, A.: Optimal building orientation based on minimum volumetric error using a new direct slicing algorithm. Int. J. Sci. e Eng. Investigations 8(86), 43–48 (2019)
27. Rathi, S.R., Metkar, R.M.: Effects of build orientation for additively manufactured components – A review," in 3rd International Conference on Computational and Experimental Methods in Mechanical Engineering, Greater Noida, Uttar Pradesh, India, R. S. Rajeev Agrawal, Tarun Gupta, Nagendra Kumar Maurya, Avdhesh Tyagi, and Amardeep, Ed., 2427(1), (2021). https://doi.org/10.1063/5.010116110.1063/5.0101161 ↗
28. Onuh, S., Yusuf, Y.: Rapid prototyping technology: applications and benefits for rapid product development. J. Intell. Manuf. 10, 301–311 (1999)10.1023/A:1008956126775 ↗
29. Paul, R., Anand, S.: Optimal part orientation in rapid manufacturing process for achieving geometric tolerances. J. Manuf. Syst. 30, 214–222 (2011). https://doi.org/10.1016/j.jmsy.2011.07.0110.1016/j.jmsy.2011.07.01 ↗
30. Riahi, M., Javidrad, H.R.: Production of ultrasonic test piece by utilization of additive manufacturing technique. Russ. J. Nondestr. Test. 56(10), 843–852 (2020). https://doi.org/10.1134/S106183092010006X10.1134/S106183092010006X ↗
31. Yu, J., et al.: Detection of internal holes in additive manufactured Ti-6Al-4V part using laser ultrasonic testing. Appl. Sci.-Basel 10(1), 365 (2020). https://doi.org/10.3390/app1001036510.3390/app10010365 ↗
32. Cerniglia, D., Scafidi, M., Pantano, A., Rudlin, J.: Inspection of additive-manufactured layered components. Ultrasonics 62, 292–298 (2015). https://doi.org/10.1016/j.ultras.2015.06.00110.1016/j.ultras.2015.06.001 ↗
33. Martinez-Marchese, A., Esmaeilizadeh, R., Toyserkani, E.: Defect detection in additively manufactured AlSi10Mg and Ti6Al4V samples using laser ultrasonics and phase shift migration. Ultrasonics 140, 107296 (2024). https://doi.org/10.1016/j.ultras.2024.10729610.1016/j.ultras.2024.107296 ↗
34. Davis, G., Nagarajah, R., Palanisamy, S., Rashid, R.A.R., Rajagopal, P., Balasubramaniam, K.: Laser ultrasonic inspection of additive manufactured components. Int. J. Adv. Manuf. Technol. 102(5–8), 2571–2579 (2019). https://doi.org/10.1007/s00170-018-3046-y10.1007/s00170-018-3046-y ↗
35. Zeng, Y., Wang, X.K., Qin, X.P., Hua, L., Liu, G.C., Guan, S.Y.: Laser ultrasonic inspection of defects in wire arc additive manufactured samples with different surface profiles. Measurement 188, 110597 (2022). https://doi.org/10.1016/j.measurement.2021.11059710.1016/j.measurement.2021.110597 ↗
36. Aleshin, N.P., Shchipakov, N.A., Degtyarev, M.N.: Modeling propagation of ultrasonic waves in anisotropic material of additive manufactured products. Russ. J. Nondestr. Test. 58(6), 425–432 (2022). https://doi.org/10.1134/S106183092206002X10.1134/S106183092206002X ↗
37. Alzyod, H., Borbas, L., Ficzere, P.: Rapid prediction and optimization of the impact of printing parameters on the residual stress of FDM-ABS parts using L27 orthogonal array design and FEA. 93, 583–588 (2023). https://doi.org/10.1016/j.matpr.2023.02.21310.1016/j.matpr.2023.02.213 ↗
38. Rai, H.V. Modi, Y.K., Pare, A.: Process parameter optimization for tensile strength of 3D printed parts using response surface methodology," in International Conference on Mechanical, Materials and Renewable Energy, Sikkim, India, 2017, vol. 377: IOP Conference Series: Materials Science and Engineering (2017). https://doi.org/10.1088/1757-899X/377/1/01202710.1088/1757-899X/377/1/012027 ↗
39. Alzyod, H., Ficzere, P.: Thermal evaluation of material extrusion process parameters and their impact on warping deformation. Jordan J. Mech. Industrial Eng. 17(4), 617–624 (2023)10.59038/jjmie/170416 ↗
40. Alzyod, H., Ficzere, P.: Ironing process optimization for enhanced properties in material extrusion technology using Box-Behnken Design. Sci. Rep. 14, 2300 (2024). https://doi.org/10.1038/s41598-024-52827-510.1038/s41598-024-52827-5 ↗
41. Andronov, V., Simota, J., Beránek, L., Blazek, J., Rusar, F.: Optimization of process parameters for additively produced tool steel 1.2709 with a layer thickness of 100 μm. Materials 14, 2852 (2021). https://doi.org/10.3390/ma1411285210.3390/ma14112852 ↗
42. Non-destructive testing -- Ultrasonic testing -- Sensitivity and range setting (ISO 16811:2012; EN ISO 16811:2014), I. International organization for standardization (2014)
43. Jiang, J., Xu, X., Stringer, J.: Support structures for additive manufacturing: A review. J. Manuf. Mater. Process. 2(4), 64 (2018). https://doi.org/10.3390/jmmp204006410.3390/jmmp2040064 ↗