Investigating Non-destructive Tests Used in the Inspection of Parts Produced by Additive Manufacturing (AM) Method,

Document Type : Original Article

Authors

1 Department of mechanical Engineering. Iran University of Science and Technology. Tehran, Iran

2 Professor, School of Mechanical Engineering, IUST

Abstract

Additive manufacturing (AM) is based on the deposition of materials with high precision to make a final part or component using different methods. This process is considered one of the main developments in the fourth industrial revolution and is still growing. There are many different types of additive manufacturing methods, and today, the use of efficient inspection methods is required to ensure a certain level of quality and detect defects and discontinuities in the industry. Today, in industry, non-destructive testing (NDT) is widely used, especially in additive manufacturing, to ensure efficient quality control and predictive maintenance without changing the properties and initial state of materials. Each non-destructive testing method is based on different physical principles and the correct selection and use of each test depends on the application, manufacturing process, type of material and possible discontinuities and many other things. The most common defects created in AM parts in terms of appearance include porosity, entrapped impurity, cracks, and material defects, which are mainly caused by changes in manufacturing parameters, injection parameters, and initial material properties. In this article, the performance of non-destructive tests was investigated to inspect the parts produced by the additive manufacturing method. These tests include visual inspection, liquid penetrant testing, magnetic particle testing, eddy current testing, ultrasonic testing, XCT, acoustic emission testing and thermography test. The application of each of the mentioned NDT methods in additive manufacturing and their suitability for detecting the defects of parts manufactured by AM method were investigated. Also, the sensitivity, advantages and disadvantages of each method were evaluated and the types of defects and the ability to detect these defects by NDT methods were mentioned. Considering that there are 7 categories of production methods in additive manufacturing, in this research, the application of each NDT test for different categories of AM process was discussed and the challenges in each were mentioned.

Keywords

Main Subjects

References

[1] Gibson, I., Rosen, D. & Stucker, B. (2014), “Additive Manufacturing Technologies: 3D Printing”, Rapid Prototyping and Direct Digital Manufacturing, 5 (12),  221-229.
[2] Beyca, O.F., Hancerliogullari, G. & Yazici, I. (2017), "Additive Manufacturing Technologies and Applications", Journal of Industry 4.0: Managing The Digital Transformation, 17 (3), 217–234.
[3] Paschalis, Ch., Ioannis, K., & Dimitrios, T., (2020) , "Non-destructive Quality Control Methods in Additive Manufacturing: A Survey", Rapid Prototyping Journal, 20 (5), 777–790.
[4] Alghamdi, S., John, S., Choudhury, N. R., & Dutta, N. K. (2021), "Additive Manufacturing of Polymer Materials: Progress, Promise and Challenges", Journal of Polymers, 38 (41), 65-79.
[5] Huskic, A., Senck, S., Mahé, E. & Cayron, C. (2018), “Investigation of New Volumetric Non-destructive Techniques to Characterise Additive Manufacturing Parts”, Welding in the World, 15 (8), 1049-1057.
[6] Taheri, H. (2018), "Nondestructive Evaluation and In-situ Monitoring for Metal Additive Manufacturing". A dissertation for the degree of Doctor Of Philosophy, Iowa State University, 22-42.
[7] Ramírez, I., M´arquez, F. & Papaelias, M., (2023), "Review on Additive Manufacturing and Non-destructive Testing", Journal of Manufacturing Systems, 74 (2), 260–286.
[8] Kim, F., Moylan, SP., Garboczi, EJ. & Slotwinski, J.,  (2017), "Investigation of Pore Structure in Cobalt Chrome Additively Manufactured Parts Using X-ray Computed Tomography and Three-dimensional Image Analysis". Additive manufacturing, 21 (5), 23–38.
[9] Lu, Q.Y. & Wong, C.H. (2017), “Applications of Non-destructive Testing Techniques for Post-process Control of Additively Manufactured Parts”, Virtual and Physical Prototyping, 13 (2), 39-48.
[10] Johnson, A., Zarezadeh, H., Han, X., Richard Bibb, R. & Harris, R., (2016)." Establishing in-rocess Inspection Requirements for Material Extrusion Additive Manufacturing". Proceedings of the Fraunhofer Direct Digital Manufacturing Conference, 21 (7), 28-37.
[11] Waller, J., Saulsberry, R., Parker, B. & Hodges, K. (2015), "Summary of NDE of Additive Manufacturing Efforts in NASA". AIP Conference Proceedings, 11 (3), 51–62.
[12] Waller, J., Saulsberry, R., Parker, B., Hodges, K. & Burke, E., R. (2014). "Nondestructive Evaluation of Additive Manufacturing State-of-the-discipline Report". National Aeronautics and Space Administration, 11 (2), 22-35.
[13] Sharratt, B.M., (2015). "Non-destructive Techniques and Technologies for Qualification of Additive Manufactured Parts and Processes". Atlantic Research Centre, 13 (4), 87-99.
[14] Singh, S., Ramakrishna, S., & Singh, R., (2017). "Material Issues in Additive Manufacturing: A Review". Journal of Manufacturing Processes, 25 (3), 185–200.
[15] Uhlmann, E., Kersting, R., Klein, T., Cruz, M., F. & Borille, A., V., (2015). "Additive Manufacturing of Titanium Alloy for Aircraft Components". Procedia CIRP, 35 (1), 55–60.
[16] Yu, J., Zhang, D., Li, H., Song, C., Zhou, X., Shen, S., Zhang, G., Yang, Y. & Wang, H. (2020)."Detection of Internal Holes in Additive Manufactured Ti-6Al-4V Part Using Laser Ultrasonic Testing". Applied Sciences , 10 (1), 358-365.
[17] Khalid, MY., Imran, R., Arif, ZU., Akram, N., Arshad, H., Al Rashid, A. & García M´arquez, FP.  (2021), "Developments in Chemical Treatments, Manufacturing techniques and Potential Applications of Natural-fibers-based Biodegradable Composites". Coatings, 11 (3), 29-38.
[18] Du, W., Bai, Q., Wang, Y. & Zhang, B.  (2018), "Eddy Current Detection of Subsurface Defects for Additive/subtractive Hybrid Manufacturing". International Journal of Advanced Manufacturing Technology, 95 (31), 85–95.
[19] Ehlers, H., Pelkner, M. & Thewes, R. (2022), "Online Process Monitoring for Additive Manufacturing using Eddy Current Testing with Magnetoresistive Sensor Arrays". IEEE Sens, 10 (31), 871-890.
[20] Kemerling, B. & Ryan, D.  (2019), "Development of Production Eddy Current Inspection Process for Additively Manufactured Industrial Gas Turbine Engine Components". Proc Turbo Expo: Power Land, Sea, Air, 12 (8), 15-21.
[21] Biswal, R., Zhang, X., Shamir, M., Al Mamun, A., Awd, M., Walther, F. & Khadar Syed, A. (2019),"Interrupted Fatigue Testing with Periodic Tomography to Monitor Porosity Defects in Wire + arc Additive Manufactured Ti-6Al-4V". Additive  Manufacturing , 28 (5), 17–27.
[22] Kim, FH., Pintar, A., Obaton, A-F., Fox, J., Tarr, J. & Donmez, A. (2021), "Merging Experiments and Computer Simulations in X-ray Computed Tomography Probability of Detection Analysis of Additive Manufacturing Flaws". NDT & E International, 119 (10), 16-24.
[23] Senck, S., Happl, M., Scheerer, M., Glinz, J., Reiter, T. & Kastner, J. (2021), "Quantification of Surface-near Porosity in Additively Manufactured Aluminum Brackets Using X-ray Microcomputed Tomography". Proc AIAA Scitech, 39 (13), 36-51.
[24] ] Everton, S.K., Hirsch, M., Stravroulakis, P., Leach, R.K. & Clare, A.T., (2016). "Review of in-situ Process Monitoring and in-situ Metrology for Metal Additive Manufacturing". Materials & Design, 95 (12), 431–445.
[25] Lu, Q.Y. & Wong, C.H. (2017), “Additive Manufacturing Process Monitoring and Control by Non-destructive Testing Techniques: Challenges and in-process Monitoring”, Virtual and Physical Prototyping, 13 (2), 39-48.
[26] Yoon, J., He, D. & Van Hecke, B. (2014). "A PHM Approach to Additive Manufacturing Equipment Health Monitoring, Fault Diagnosis and Quality Control". Proceedings of the prognostics and health management society conference,  25 (12), 1–9.
[27] Meshkizadeh, P., Farahani, M., Rezaee Hajideh, M. & Heidari-Rarani, M. (2020), "Implementing Thermal Image Processing Techniques for Enhancing the Detectability of Defects in Thermography of Additive Manufacturing Components". Journal of Nondestructive Testing Technology, 2 (6), 36-45.
[28] Farahani, M., Meshkizadeh, P., Rezaee Hajideh, M. & Heidari-Rarani, M. (2020), " Thermal Signal Reconstruction and Empolyment of K Clustering Method for Inspection of Additive Manufactured Polymer Parts". Journal of Nondestructive Testing Technology, 2 (7), 60-69.
[29] Shi, W., Ren, Z., He, W., Hou, J., Xie, H. & Liu, S. (2021), "A Technique Combining Laser Spot Thermography and Neural Network for Surface Crack Detection in Laser Engineered Net Shaping". Optics and Lasers in Engineering, 18 (19), 106-124.
[30] AbouelNour, Y. & Gupta, N., (2023). "Assisted Defect Detection by in-process Monitoring of Additive Manufacturing Using Optical Imaging and Infrared Thermography". Additive Manufacturing, 67 (2), 64–71.
 

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History

  • Receive Date: 21 February 2024
  • Revise Date: 03 March 2024
  • Accept Date: 08 March 2024

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