Inspection & Measurement

FFF

Medical Molder Relies on 3D Printing to Speed Development of Inspection Fixtures

Medical molder Medbio uses FFF and SLA 3D printers in designing (and sometimes producing) its inspection fixtures.

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Video: Scanning for Fast Model Capture and Validation of AM Parts

3D printing offers a fast way to obtain a part. Can developing the printable file and validating the printed part be done rapidly as well? See fast measurement technology for complex 3D forms I found at IMTS.

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Metal

Profilometry-Based Indentation Plastometry (PIP) as an Alternative to Standard Tensile Testing

UK-based Plastometrex offers a benchtop testing device utilizing PIP to quickly and easily analyze the yield strength, tensile strength and uniform elongation of samples and even printed parts. The solution is particularly useful for additive manufacturing. 

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Q.ANT’s Compact Quantum Sensor Analyzes Particles for Improved Quality Control in Additive Manufacturing

The particle sensor measures the size, speed and trajectory of particles in liquids and gases.

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Software

Zeiss Hosts Digital Event for Metrology and Software April 15-19

The event is designed to offer a unique opportunity to gain new, interesting insights and exchange ideas with industry experts from all over the world.

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Metal

Phase3D’s True Layer Thickness Measurement Certifies Uniform Distribution for Every Layer of the Build

The True Layer Thickness tool kit provides objective measurement data to inspect every build in real time.

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Renishaw and Plastometrex Collaborate to Increase Precision, Efficiency of AM Mechanical Property Analysis

Plastometrex’s PLX-Benchtop facilitates rapid, direct testing on different sections of additively manufactured parts, delivering comprehensive stress-strain curves in minutes to provide a more precise evaluation of a part’s mechanical properties.

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Metal

Making Sense of Data from Directed Energy Deposition (DED)

“It should be easier to qualify an additive part than a casting,” says Formalloy CEO Melanie Lang. The company’s tools for capturing and analyzing data are bringing this vision closer to reality. 

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Inspection Method to Increase Confidence in Laser Powder Bed Fusion

Researchers developed a machine learning framework for identifying flaws in 3D printed products using sensor data gathered simultaneously with production, saving time and money while maintaining comparable accuracy to traditional post-inspection. The approach, developed in partnership with aerospace and defense company RTX, utilizes a machine learning algorithm trained on CT scans to identify flaws in printed products.

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Automation

Dimensionics Density Offers Automated Density Determination for AM-Produced Parts

Formnext 2023: Dimensionics Density’s automatic density determination technology provides automated, accurate and repeatable density determinations for additive manufacturing production.

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