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Crack Detection

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Date
May 10, 2024

Automate the identification of cracks, surface voids, and leak paths.

Lumafield’s latest expansion to the Integrity Analysis module offers a comprehensive solution to manual, error-prone, and time-intensive identification of defects using destructive testing. Building on the success of Voyager’s Porosity Analysis tool, engineering teams can now automatically identify and analyze cracks, surface voids, and leaks across a wide range of materials.

Crack Detection in action

Failure Analysis

Problem: Failure modes and the extent of damage can be difficult to characterize, often eluding even the most painstaking quality assurance processes. 

Solution: Users can adjust resolutions and thresholds to their inspection requirements and desired level of detail. Once parameters are set and the Crack Detection workflow is run, users can easily view, segment, download, and share data.

Crack Detection quickly visualizes and quantifies damage to this automotive impeller.

Identifying Surface Voids in Manufacturing

Problem: Parts that may initially appear to have been manufactured to meet specifications could harbor surface voids that can have detrimental effects on the material's structural integrity, appearance, or functionality. In the food industry, surface voids can trap biological material leading to contamination. In structural parts, these voids can concentrate stress and become points of early failure. In ultrasonic welding, these are indicators of a poor or failing weld.

Solution: Crack Detection allows for the identification of small, localized depressions or cavities on the surface of a part.

Industrial CT pinpoints surface voids in this automotive pedal, likely due to a short shot in the plastic injection molding process.

Leak Detection

Problem: For CPG manufacturers, identifying the sources of leaks in bottles and containers is a significant challenge. Leaks often originate from micro-fractures, poor thread engagement, and imperfections that develop due to environmental stresses and handling during transit.

Solution: Crack Detection effectively pinpoints, visualizes, and quantifies the path of leaks and allows engineers to identify their sources.

Here, Crack Detection has isolated the leak path within this defective water bottle cap.

Life Cycle Testing

Problem: In lifecycle or durability testing, athletic equipment is subjected to environmental, structural, and mechanical stress to assess its anticipated performance over time. Cumulative damage to a part during this testing is difficult to detect and measure with precision.

Solution: Crack Detection allows engineers to benchmark wear over time, trace the progression of damage, and evaluate potential corrective actions.

Crack Detection measures the cracks and fissures within this carbon fiber bike seat at three stages of durability testing.

Crack Detection enhances the precision and efficiency of identifying defects such as fissures, surface voids, and structural imperfections. By eliminating the time and labor required by traditional quality assurance processes, industrial CT opens the door to quicker and more accurate failure analysis, integrity assessment, and longitudinal analyses. Reach out to our support team to learn how Integrity Analysis can help you guarantee the quality of the products that you manufacture.

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Article

Crack Detection

May 10, 2024

Automate the identification of cracks, surface voids, and leak paths.

Lumafield’s latest expansion to the Integrity Analysis module offers a comprehensive solution to manual, error-prone, and time-intensive identification of defects using destructive testing. Building on the success of Voyager’s Porosity Analysis tool, engineering teams can now automatically identify and analyze cracks, surface voids, and leaks across a wide range of materials.

Crack Detection in action

Failure Analysis

Problem: Failure modes and the extent of damage can be difficult to characterize, often eluding even the most painstaking quality assurance processes. 

Solution: Users can adjust resolutions and thresholds to their inspection requirements and desired level of detail. Once parameters are set and the Crack Detection workflow is run, users can easily view, segment, download, and share data.

Crack Detection quickly visualizes and quantifies damage to this automotive impeller.

Identifying Surface Voids in Manufacturing

Problem: Parts that may initially appear to have been manufactured to meet specifications could harbor surface voids that can have detrimental effects on the material's structural integrity, appearance, or functionality. In the food industry, surface voids can trap biological material leading to contamination. In structural parts, these voids can concentrate stress and become points of early failure. In ultrasonic welding, these are indicators of a poor or failing weld.

Solution: Crack Detection allows for the identification of small, localized depressions or cavities on the surface of a part.

Industrial CT pinpoints surface voids in this automotive pedal, likely due to a short shot in the plastic injection molding process.

Leak Detection

Problem: For CPG manufacturers, identifying the sources of leaks in bottles and containers is a significant challenge. Leaks often originate from micro-fractures, poor thread engagement, and imperfections that develop due to environmental stresses and handling during transit.

Solution: Crack Detection effectively pinpoints, visualizes, and quantifies the path of leaks and allows engineers to identify their sources.

Here, Crack Detection has isolated the leak path within this defective water bottle cap.

Life Cycle Testing

Problem: In lifecycle or durability testing, athletic equipment is subjected to environmental, structural, and mechanical stress to assess its anticipated performance over time. Cumulative damage to a part during this testing is difficult to detect and measure with precision.

Solution: Crack Detection allows engineers to benchmark wear over time, trace the progression of damage, and evaluate potential corrective actions.

Crack Detection measures the cracks and fissures within this carbon fiber bike seat at three stages of durability testing.

Crack Detection enhances the precision and efficiency of identifying defects such as fissures, surface voids, and structural imperfections. By eliminating the time and labor required by traditional quality assurance processes, industrial CT opens the door to quicker and more accurate failure analysis, integrity assessment, and longitudinal analyses. Reach out to our support team to learn how Integrity Analysis can help you guarantee the quality of the products that you manufacture.