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Test & InspectionNDT

Test & Inspection

Nondestructive Testing for Additive Manufacturing

The unique characteristics of AM introduce new challenges to ensuring the quality and integrity of these manufactured components.

By Gregory James Weaver
African-American male engineer using a 3D printer in the laboratory while studying a product prototype, and technology.

Image Source: AzmanJaka / E+ / Getty Images

January 2, 2025

Additive manufacturing (AM) is revolutionizing many industries by enabling the production of complex geometries and customized products. However, the unique characteristics of AM, such as multiple melting sources and complex layer-by-layer fabrication, introduce new challenges to ensuring the quality and integrity of these manufactured components.

We will only focus on metallic additive manufacturing, also commonly known as 3D metal printing. It is also very important to note that additive for metallics is not a singular manufacturing method, but instead it encompasses several techniques, each with distinct processes and applications. Here are some of the most common types:

Selective Laser Melting (SLM): Uses high-powered laser(s) to selectively melt and fuse metal powder layer by layer. It’s ideal for producing complex geometries with high precision.

Direct Metal Laser Sintering (DMLS): Similar to SLM, DMLS uses a laser to sinter powdered metal, creating solid structures. It’s commonly used for aerospace and medical applications.

Directed Energy Deposition (DED): Involves melting metal powder or wire feedstock using a focused energy source (like a laser or electron beam) as it’s deposited onto a substrate. DED is often used for repair or coating applications.

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Electron Beam Melting (EBM): Utilizes an electron beam to melt metal powder in a vacuum environment. EBM is often used for titanium and other high-performance alloys.

Binder Jetting: Involves depositing a binder onto metal powder layers, which are then cured and sintered. This method is efficient for producing parts in volume, but will require post-processing for strength.

These techniques cater to various industries, including aerospace, automotive, medical, and tooling, enabling the creation of complex, lightweight, and customized components.

Nondestructive testing (NDT) has emerged as the crucial methodology to evaluate the properties and integrity of both the materials and components without causing any damage.

As AM technologies advance and gain acceptance and certification in industries such as aerospace, biomedical engineering, and automotive, ensuring the reliability and safety of printed components becomes paramount. The following points underscore the significance of NDT in AM:

Quality Assurance: NDT helps to detect both external and internal defects such as porosity, cracks, trapped powder, and incomplete fusion that can compromise the mechanical properties and overall performance of AM parts. Ensuring that components meet stringent quality standards is vital, particularly in critical applications.

Cost Efficiency: By identifying defects early in the manufacturing process, NDT can reduce the likelihood of costly recalls and rework. Detecting issues before components enter into service saves time and resources.

Material Integrity: Different AM processes utilize various materials, each with unique properties. NDT techniques provide insights into the material integrity, ensuring that the properties align with design specifications.

Regulatory Compliance: Many industries have strict regulatory requirements governing product quality and safety. NDT assists manufacturers in demonstrating compliance with these regulations, thereby facilitating market access.

Lifecycle Management: NDT can be integrated into maintenance and lifecycle management practices, allowing for ongoing evaluation of components in service and ensuring long-term reliability.

Various NDT techniques can be employed in the context of additive manufacturing, each with its own advantages and limitations. Here are some of the most relevant methods:

X-ray Computed Tomography (CT) - X-ray CT can provide a detailed 3D representation of a component’s internal structure, allowing for the visualization of defects such as internal cracks and porosity. This method also allows for accurate dimensional validation. CT is non-invasive and offers high-resolution images, making it an excellent tool for assessing complex geometries typical in AM. The primary drawbacks are high cost, long inspection times, and the need for specialized equipment.

Resonance Inspection (RI) - RI uses the natural resonance (frequencies) of the components, to assess both the consistency of material integrity and the presence of defects such as external internal cracks and porosity. This method also allows for quick and accurate inspection of not only the individual components, but of the AM process variables. RI is non-invasive and can be performed using noncertified personnel.

Ultrasonic Testing (UT) - Ultrasonic Testing involves the use of high-frequency sound waves to detect internal defects in materials. In AM, UT can identify flaws such as cracks, delaminations, and voids. The technique is particularly useful when components with intricate structures can be accessed. However, the effectiveness of UT depends on the operator’s skill and the coupling medium used during testing. There is also a need to customize the equipment to accommodate the particular geometry of each component.

Liquid Penetrant Testing (PT) - Liquid Penetrant Testing involves applying a liquid dye to the surface of a component to reveal surface-breaking defects. This method is straightforward and cost-effective, making it suitable for initial inspections of AM parts. However, it is limited to surface defects and cannot detect internal flaws.

Electromagnetic Testing (ET) - Electromagnetic Testing utilizes electromagnetic induction to detect surface and near-surface defects in conductive materials. This method is particularly useful for thin-walled structures and can be employed for nearly all materials and more exotic alloys, commonly used in AM. The technique, however, may not be effective for highly conductive materials or in the presence of surface coatings.

Challenges in Nondestructive Testing of Additive Manufacturing

While NDT is essential for ensuring the quality of AM components, several challenges must be addressed:

Complexity of AM Geometries - The intricate designs produced through AM often complicate NDT processes. For example, internal features may be difficult to access using traditional testing methods. As a result, developing NDT techniques that can adapt to the unique geometries of AM parts is crucial. Both CT and RI are well suited for these complex components.

Material Variability - The variability in materials used in AM processes poses a challenge for NDT. Different materials may require different testing methods or parameters. Additionally, the microstructural differences due to the layer-by-layer manufacturing process can affect the performance of traditional NDT techniques.

Standardization and Qualification - The lack of standardized NDT protocols specifically for AM components is a significant hurdle. Industry-wide acceptance of NDT techniques requires the establishment of standardized testing methods and qualification criteria to ensure consistency and reliability.

Integration with Process Control - To maximize the effectiveness of NDT, it must be integrated with the additive manufacturing process itself. Real-time monitoring and testing during production can help identify defects as they occur, but developing systems that allow for such integration presents a technological challenge.

Training and Expertise - NDT requires skilled personnel to interpret results accurately. As the field of AM continues to evolve, the demand for trained professionals with expertise in both AM and NDT will grow. This highlights the need for educational programs that encompass both disciplines.

Future Directions in Nondestructive Testing for Additive Manufacturing

As additive manufacturing technology evolves, so must the approaches to nondestructive testing. Future directions include:

Artificial Intelligence (AI) - Developing more advanced AI techniques, for digital radiography, high-resolution X-ray CT, resonance applications are developed and implemented. These advancements enhance defect detection and characterization capabilities. These technologies can offer real-time monitoring of components during the AM process. There is still much to do in validation and modification of these methods, but the future looks promising.

In-Situ Monitoring - Implementing in-situ monitoring techniques during the AM build process allows for real-time assessment of part integrity. Sensors integrated into the manufacturing equipment can provide continuous data on parameters such as temperature, pressure, and material flow, enabling proactive quality control.

Hybrid Approaches - Combining multiple NDT methods can enhance the overall effectiveness of testing. For example, integrating resonance along with ultrasonic or digital X-ray may provide a more comprehensive understanding of a component’s integrity, leveraging the strengths of each technique.

Regulatory Developments - As the adoption of AM grows, regulatory bodies are developing specific guidelines and standards for NDT in this field. Engaging with regulatory agencies to establish these standards is crucial for ensuring safety and reliability in AM applications.

Summary

Nondestructive testing plays a crucial role in ensuring the quality and reliability of components produced through additive manufacturing. By assessing material integrity and identifying defects, NDT helps to mitigate structural risks and enhances the overall validation of AM technologies. Despite the challenges posed by the unique characteristics of AM, ongoing advancements in NDT techniques, along with the integration of emerging technologies, promise to improve the effectiveness and efficiency of quality assurance in this rapidly evolving field. As industries continue to embrace additive manufacturing, the collaboration between NDT and AM will be instrumental in shaping the future of manufacturing and ensuring the safety and performance of new and innovative products.

KEYWORDS: additive manufacturing Artificial Intelligence (AI) Computed Tomography (CT) manufacturing metrology quality assurance

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Greg Weaver is President at Weaver NDT and an ASNT LEVEL III RT #149144. For more information, call (505) 340-5680, email
[email protected] or visit WeaverNDT.com.

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