journal article·2023-09Open access

3D Scan of Hardness Imprints for the Non-destructive In-Situ Structural Assessment of Operated Metal Components

Gabriella Bolzon, Marco Talassi

Abstract

Abstract The structural integrity of operated components can be assessed by non-destructive mechanical tests performed in-situ with portable instruments. Particularly promising in this context are small scale hardness tests supplemented by the mapping of the residual imprints left on metal surfaces. The data thus collected represent the input of inverse analysis procedures, which determine the material characteristics and their evolution over time. The reliability of these estimates depends on the accuracy of the geometry scans and on the robustness of the data filtering and interpretation methodologies. The objective of the present work is to evaluate the accuracy of the 3D reconstruction of the residual deformation produced on metals by hardness tests performed at a few hundred N load. The geometry data are acquired by portable optical microscopes with variable focal distance. The imperfections introduced by the imaging system, which may not be optimized for all ambient conditions when used in automatic mode, are analysed. Representative examples of the output produced by the scanning tool are examined, focusing attention on the experimental disturbances typical of onsite applications. Proper orthogonal decomposition and data reduction techniques are applied to the information returned by the instrumentation. The essential features of the collected datasets are extracted and the main noise is removed. The results of this investigation show that the accuracy achievable with the considered equipment and regularization procedures can support the development of reliable diagnostic analyses of metal components in existing structures and infrastructures.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Non-Destructive Testing Techniques · Welding Techniques and Residual Stresses · Integrated Circuits and Semiconductor Failure Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (63)

Show source-provided references
1. Sherif, S.A., Barbir, F., Veziroglu, T.N.: Wind energy and the hydrogen economy—review of the technology. Sol. Energy 78, 647–660 (2005). https://doi.org/10.1016/j.solener.2005.01.00210.1016/j.solener.2005.01.002 ↗
2. Haesen, E., Vingerhoets, P., Koper, M., Georgiev, I., Glenting, C., Goes, M., Hussy, C.: Investment needs in trans-European energy infrastructure up to 2030 and beyond. Final Report. Publications Office of the European Union, Luxembourg (2018)
3. Nykyforchyn, H., Lunarska, E., Tsyrulnyk, O.T., Nikiforov, K., Gennaro, M.E., Gabetta, G.: Environmentally assisted in-bulk steel degradation of long term service gas trunkline. Eng. Fail. Anal. 17, 624–632 (2010). https://doi.org/10.1016/j.engfailanal.2009.04.00710.1016/j.engfailanal.2009.04.007 ↗
4. Ren, L., Jiang, T., Jia, Z., Li, D., Yuan, C., Li, H.: Pipeline corrosion and leakage monitoring based on the distributed optical fiber sensing technology. Measurement. 122, 57–65 (2018). https://doi.org/10.1016/j.measurement.2018.03.01810.1016/j.measurement.2018.03.018 ↗
5. Wright, R.F., Lu, P., Devkota, J., Lu, F., Ziomek-Moroz, M., Ohodnicki, P.R., Jr.: Corrosion sensors for structural health monitoring of oil and natural gas infrastructure: a review. Sensors 19, 3964 (2019). https://doi.org/10.3390/s1918396410.3390/s19183964 ↗
6. Bolzon, G., Gabetta, G., Nykyforchyn, H.: Degradation Assessment and Failure Prevention of Pipeline Systems. Lecture Notes in Civil Engineering. Springer, Berlin (2020)
7. Kumar, S., Pandey, C., Goyal, A.: A microstructural and mechanical behavior study of heterogeneous P91 welded joint. Int. J. Pres. Ves Pip. 185, 104128 (2020). https://doi.org/10.1016/j.ijpvp.2020.10412810.1016/j.ijpvp.2020.104128 ↗
8. Farzadi, A.: Gas pipeline failure caused by in-service welding. J. Pres. Ves Tech. 138, 011405 (2016). https://doi.org/10.1115/1.403144310.1115/1.4031443 ↗
9. Mirzaee-Sisan, A.: Welding residual stresses in a strip of a pipe. Int. J. Pres. Ves Pip. 159, 28–34 (2018). https://doi.org/10.1016/j.ijpvp.2017.11.00710.1016/j.ijpvp.2017.11.007 ↗
10. Moan, T.: Life cycle structural integrity management of offshore structures. Struct. Infrastr Eng. 14, 911–927 (2018). https://doi.org/10.1080/15732479.2018.143847810.1080/15732479.2018.1438478 ↗
11. Chou, J.-S., Tu, W.-T.: Failure analysis and risk management of a collapsed large wind turbine tower. Eng. Fail. An. 18, 295–313 (2011). https://doi.org/10.1016/j.engfailanal.2010.09.00810.1016/j.engfailanal.2010.09.008 ↗
12. Alonso-Martinez, M., Adam, J.M., Alvarez-Rabanal, F.P., del Coz Díaz, J.J.: Wind turbine tower collapse due to flange failure: FEM and DOE analyses. Eng. Fail. An. 104, 932–949 (2019). https://doi.org/10.1016/j.engfailanal.2019.06.04510.1016/j.engfailanal.2019.06.045 ↗
13. Chu, Q., Zhang, M., Li, J., Chen, Y., Luo, H., Wang, Q.: Failure analysis of a steam pipe weld used in power generation plant. Eng. Fail. Anal. 44, 363–370 (2014). https://doi.org/10.1016/j.engfailanal.2014.05.01910.1016/j.engfailanal.2014.05.019 ↗
14. Byun, T.S., Hong, J.H., Haggag, F.M., Farrell, K., Lee, E.H.: Measurement of through-the-thickness variations of mechanical properties in SA508 Gr.3 pressure vessel steels using ball indentation test technique. Int. J. Pres. Ves Pip. 74(3), 231–238 (1997). https://doi.org/10.1016/S0308-0161(97)00114-210.1016/S0308-0161(97)00114-2 ↗
15. Lewandowski, J.J., Seifi, M.: Metal additive manufacturing: a review of mechanical properties. Annu. Rev. Mater. Res. 46(1), 151–186 (2016). https://doi.org/10.1146/annurev-matsci-070115-03202410.1146/annurev-matsci-070115-032024 ↗
16. Mark, D., Bowman, A.M., Piskorowski: Evaluation and repair of wrought iron and steel structures in Indiana. Technical Report FHWA/IN/JTRP-2004/4, SPR-2655, Purdue University West Lafayette, IN (2004)10.5703/1288284313207 ↗
17. Kowal, M., Mirosław Szala, M.: Diagnosis of the microstructural and mechanical properties of over century-old steel railway bridge components. Eng. Fail. Anal. 110(104447), 1–17 (2020). https://doi.org/10.1016/j.engfailanal.2020.10444710.1016/j.engfailanal.2020.104447 ↗
18. Kaur, A., Ribton, C., Balachandaran, W.: Electron beam characterisation methods and devices for welding equipment. J. Mater. Process. Technol. 221, 225–232 (2015). https://doi.org/10.1016/j.jmatprotec.2015.02.02410.1016/j.jmatprotec.2015.02.024 ↗
19. Arai, M., Takahashi, Y., Kumagai, T.: Determination of high temperature elastoplastic properties of welded joints by indentation test. Mater. High. Temp. 32(5), 475–482 (2015). https://doi.org/10.1179/0960340915Z.00000000012310.1179/0960340915Z.000000000123 ↗
20. Du, Z., Kuilong Xu, K., Wang, L., Zhang, X., Zhang, X.: Characterization of the local mechanical properties of 5083–5383 MIG welded joints. J. Phys.: Conf. Ser. 2390(012013), 1–8 (2023). https://doi.org/10.1088/1742-6596/2390/1/01201310.1088/1742-6596/2390/1/012013 ↗
21. National Research Council: Accelerated Aging of Materials and Structures: the Effects of Long-Term Elevated-Temperature Exposure. The National Academies Press, Washington DC (1996). https://doi.org/10.17226/925110.17226/9251 ↗
22. Gür, C.H., Yildiz, I.: Utilization of non-destructive methods for determining the effect of age-hardening on impact toughness of 2024 Al–Cu–Mg alloy. J. Nondestruct Eval. 27, 99–104 (2008). https://doi.org/10.1007/s10921-008-0028-210.1007/s10921-008-0028-2 ↗
23. Maruschak, P.O., Salo, U.V., Bishchak, R.T., Poberezhnyi, L.Y.: Study of main gas pipeline steel strain hardening after prolonged operation. Chem. Petr Eng. 50, 58–61 (2014). https://doi.org/10.1007/s10556-014-9855-410.1007/s10556-014-9855-4 ↗
24. Velicheti, D., Nagy, P.B., Hassan, W.: Stress assessment in precipitation hardened IN718 nickel-base superalloy based on Hall coefficient measurements. J. Nondestruct Eval. 36, 13 (2017). https://doi.org/10.1007/s10921-017-0393-910.1007/s10921-017-0393-9 ↗
25. Nykyforchyn, H.: In-service Degradation of Pipeline Steels. Lecture Notes in Civil Engineering. Springer, Berlin (2020). https://doi.org/10.1007/978-3-030-58073-5_210.1007/978-3-030-58073-5_2 ↗
26. Bolzon, G.: Non-destructive Mechanical Testing of Pipelines. Lecture Notes in Civil Engineering. Springer, Berlin (2020). https://doi.org/10.1007/978-3-030-58073-5_110.1007/978-3-030-58073-5_1 ↗
27. ISO 14577:2002:. Metallic materials—instrumented indentation test for hardness and materials parameters
28. ISO/TR Standards 29381 Metallic materials—measurement of mechanical properties by an instrumented indentation test-indentation tensile properties
29. Tariq, F., Naz, N., Baloch, R.A., Faisal: Characterization of material properties of 2xxx Series Al-alloys by non destructive testing techniques. J. Nondestruct Eval. 31, 17–33 (2012). https://doi.org/10.1007/s10921-011-0117-510.1007/s10921-011-0117-5 ↗
30. Midawi, A.R.H., Simha, C.H.M., Gerlich, A.P.: Assessment of yield strength mismatch in X80 pipeline steel welds using instrumented indentation. Int. J. Pres. Ves Pip. 168, 258–268 (2018). https://doi.org/10.1007/s13632-020-00693-810.1007/s13632-020-00693-8 ↗
31. Wang, Z., Deng, L., Zhao, J.: Estimation of residual stress of metal material without plastic plateau by using continuous spherical indentation. Int. J. Pres. Ves Pip. 172, 373–378 (2019). https://doi.org/10.1016/j.ijpvp.2019.04.00810.1016/j.ijpvp.2019.04.008 ↗
32. Chen, G., Zhong, J., Zhang, X., Guan, K., Wang, Q., Shi, J.: Estimation of tensile strengths of metals using spherical indentation test and database. Int. J. Pres. Ves Pip. 189, 104284 (2021). https://doi.org/10.1016/j.ijpvp.2020.10428410.1016/j.ijpvp.2020.104284 ↗
33. Mulford, R., Asaro, R.J., Sebring, R.J.: Spherical indentation of ductile power law materials. J. Mater. Res. 19, 2641–2649 (2004). https://doi.org/10.1557/JMR.2004.036310.1557/JMR.2004.0363 ↗
34. Bolzon, G., Buljak, V., Maier, G., Miller, B.: Assessment of elastic-plastic material parameters comparatively by three procedures based on indentation tests and inverse analysis. Inv Probl. Sci. Eng. 19(6), 815–837 (2011). https://doi.org/10.1080/17415977.2011.55193110.1080/17415977.2011.551931 ↗
35. Bolzon, G., Molinas, B., Talassi, M.: Mechanical characterisation of metals by indentation tests: An experimental verification study for on-site applications. Strain. 48(6), 517–527 (2012). https://doi.org/10.1111/j.1475-1305.2012.00850.x10.1111/j.1475-1305.2012.00850.x ↗
36. Bolzon, G.: Advances in experimental mechanics by the synergetic combination of full-field measurement techniques and computational tools. Measurement. 54, 159–165 (2014). https://doi.org/10.1016/j.measurement.2014.04.02010.1016/j.measurement.2014.04.020 ↗
37. Bolzon, G., Gabetta, G., Molinas, B.: Integrity assessment of pipeline systems by an enhanced indentation technique. ASCE J. Pipeline Syst. Eng. Practice 6(1), 04014010 (2015). https://doi.org/10.1061/(ASCE)PS.1949-1204.000018310.1061/(ASCE)PS.1949-1204.0000183 ↗
38. Pöhl, F., Schwarz, S., Junker, P., Hackl, K., Theisen, W.: Indentation and scratch testing-experiment and simulation. Int. Conf. Stone Concrete Mach. (ICSCM) 3, 292–308 (2015). https://doi.org/10.13154/icscm.3.2015.292-30810.13154/icscm.3.2015.292-308 ↗
39. Wang, M., Wu, J., Hui, Y., Zhang, Z., Zhan, X., Guo, R.: Identification of elastic-plastic properties of metal materials by using the residual imprint of spherical indentation. Mater. Sci. Eng. A. 679, 143–154 (2017). https://doi.org/10.1016/j.msea.2016.10.02510.1016/j.msea.2016.10.025 ↗
40. Meng, L., Breitkopf, P., Le Quilliec, G.: An insight into the identifiability of material properties by instrumented indentation test using manifold approach based on P-h curve and imprint shape. Int. J. Solids Struct. 106–107, 13–26 (2017). https://doi.org/10.1016/j.ijsolstr.2016.12.00210.1016/j.ijsolstr.2016.12.002 ↗
41. Bolzon, G., Rivolta, B., Nykyforchyn, H., Zvirko, O.: Mechanical analysis at different scales of gas pipelines. Eng. Fail. Anal. 90, 434–439 (2018). https://doi.org/10.1016/j.engfailanal.2018.04.00810.1016/j.engfailanal.2018.04.008 ↗
42. Xia, W., Dehm, G., Brinckmann, S.: Insight into indentation-induced plastic flow in austenitic stainless steel. J. Mater. Sci. 55, 9095–9108 (2020). https://doi.org/10.1007/s10853-020-04646-y10.1007/s10853-020-04646-y ↗
43. Hwang, Y., Marimuthu, K.P., Kim, N., Lee, C., Lee, H.: Extracting plastic properties from in-plane displacement data of spherical indentation imprint. Int. J. Mech. Sci. 197, 106291 (2021). https://doi.org/10.1016/j.ijmecsci.2021.10629110.1016/j.ijmecsci.2021.106291 ↗
44. Helmli, F.: Focus variation instruments. In: Leach, R. (ed.) Optical Measurement of Surface Topography, pp. 131–166. Springer, Berlin (2011)10.1007/978-3-642-12012-1_7 ↗
45. Macdonald, D.A.: The application of focus variation microscopy for lithic use-wear quantification. J. Archaeol. Sci. 48, 26–33 (2014). https://doi.org/10.1016/j.jas.2013.10.00310.1016/j.jas.2013.10.003 ↗
46. Kapłonek, W., Nadolny, K., Królczyk, G.M.: The use of focus-variation microscopy for the assessment of active surfaces of a new generation of coated abrasive tools. Meas. Sci. Rev. 16, 42–53 (2016). https://doi.org/10.1515/msr-2016-000710.1515/msr-2016-0007 ↗
47. Newton, L., Senin, N., Gomez, C., Danzl, R., Helmli, F., Blunt, L., Leach, R.: Areal topography measurement of metal additive surfaces using focus variation microscopy. Addit. Manuf. 25, 365–389 (2019). https://doi.org/10.1016/j.addma.2018.11.01310.1016/j.addma.2018.11.013 ↗
48. Yuan, L., Guo, T., Qiu, Z., Fu, X., Hu, X.: An analysis of the focus variation microscope and its application in the measurement of tool parameter. Int. J. Precis Eng. Manuf. 21, 2249–2261 (2020). https://doi.org/10.1007/s12541-020-00419-410.1007/s12541-020-00419-4 ↗
49. Bolzon, G., Talassi, M.: Non-destructive integrity assessment of aging steel components. Int. J. Pres. Ves Pip. 198, 104673 (2022). https://doi.org/10.1016/j.ijpvp.2022.10467310.1016/j.ijpvp.2022.104673 ↗
50. Seok, C., Koo, J.: Evaluation of material degradation of 1Cr-1Mo-0.25V steel by ball indentation and resistivity. J. Mater. Sci. 41, 1081–1087 (2006). https://doi.org/10.1007/s10853-005-3644-610.1007/s10853-005-3644-6 ↗
51. Chen, X., Yan, J., Karlsson, A.M.: On the determination of residual stress and mechanical properties by indentation. Mater. Sci. Eng. A. 416, 139–149 (2006). https://doi.org/10.1016/j.msea.2005.10.03410.1016/j.msea.2005.10.034 ↗
52. Ahles, A.A., Emery, J.D., Dunand, D.C.: Mechanical properties of meteoritic Fe–Ni alloys for in-situ extraterrestrial structures. Acta Astronaut. 189, 465–475 (2021). https://doi.org/10.1016/j.actaastro.2021.09.00110.1016/j.actaastro.2021.09.001 ↗
53. Broitman, E.: Indentation hardness measurements at macro-, micro-, and nanoscale: A critical overview. Trib Lett. 65(23), 1–18 (2016). https://doi.org/10.1007/s11249-016-0805-510.1007/s11249-016-0805-5 ↗
54. Bolzon, G., Bocciarelli, M., Chiarullo, E.J.: Mechanical characterisation of materials by microindentation and AFM scanning. In: Bhushan, B., Fuchs, H. (eds.) Applied Scanning Probe Methods XII Characterization, pp. 85–120. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-85039-7_510.1007/978-3-540-85039-7_5 ↗
55. EN ISO 6508:2005. Metallic materials—Rockwell hardness test: (2005)
56. ASTM E18–20, Standard test methods for Rockwell hardness of metallic materials: (2020)
57. Bolzon, G., Talassi, M.: Model reduction techniques in computational materials mechanics. In: Zavarise, G., Boso, D. (eds.) Bytes and Science, pp. 131–143. CIMNE, Barcelona (2012)
58. Bolzon, G.: Potentially automated mechanical characterization of metal components by means of hardness test complemented by non-contact 3D measurement. J. Phys.: Conf. Ser. 2293, 012010 (2022). https://doi.org/10.1088/1742-6596/2293/1/01201010.1088/1742-6596/2293/1/012010 ↗
59. Schwab, R., Harter, A.: Extracting true stresses and strains from nominal stresses and strains in tensile testing. Strain. 57, e12396 (2021). https://doi.org/10.1111/str.1239610.1111/str.12396 ↗
60. https://www.alicona.com/en/products/infinitefocussl, last retrieved on 22/06/2023
61. Bolzon, G., Maier, G., Panico, M.: Material model calibration by indentation, imprint mapping and inverse analysis. Int. J. Solids Struct. 41, 2957–2975 (2004). https://doi.org/10.1016/j.ijsolstr.2004.01.02510.1016/j.ijsolstr.2004.01.025 ↗
62. Matlab, R.: The Math Works Inc., Natick, MA (2021)
63. Ly, H.V., Tran, H.T.: Modeling and control of physical processes using proper orthogonal decomposition. Math. Comput. Model. 33, 223–236 (2001). https://doi.org/10.1016/S0895-7177(00)00240-510.1016/S0895-7177(00)00240-5 ↗