Monday, 28 September 2020


Thermo Fisher introduces SEM for 3D printing process control

30 April 2018 | News

The new Thermo Scientific Explorer 4 Additive is the first commercially-released SEM specifically designed to measure particle size, shape and composition in AM metal powders, and to inspect finished parts to assure quality

Thermo Fisher Scientific Inc. announced that manufacturers using additive manufacturing (AM) processes can now easily use the high-resolution imaging and elemental analysis capabilities of scanning electron microscopy (SEM) to characterize powders that are the raw materials for many of their processes.

The new Thermo Scientific Explorer 4 Additive is the first commercially-released SEM specifically designed to measure particle size, shape and composition in AM metal powders, and to inspect finished parts to assure quality. 

"The use of additive manufacturing processes is growing rapidly in many industries, especially aerospace, automotive and medical, and the technology is quickly advancing," said Trisha Rice, vice president and general manager, materials science, Thermo Fisher Scientific. "The Explorer 4 Additive provides critical visibility into these processes, which may lead to better understanding, tighter control, improved yields and higher quality."

 

The Explorer 4 Additive automatically and simultaneously analyzes three of the most critical characteristics of powders used in powder-bed and powder-fed AM processes: Particle size distribution – SEM can measure the entire size range of AM powders with better accuracy than competing techniques;  Morphology – SEM has the resolution needed to distinguish subtle differences in shape that can greatly affect the flow and packing behavior of the powder; Impurities detection – Advanced energy dispersive X-ray (EDX) spectrometry provides fast, elemental analysis that can automatically identify impurities. Suspect particles can then be easily relocated for more detailed examination.

 

The Explorer 4 Additive system's ability to examine and classify large sets of particles, inclusions, voids and cracks within minutes enables the use of statistical process control techniques and permits faster responses to process excursions. Its high-resolution imaging and micro-analysis capabilities enable failure analysis and process engineers to quickly find the root causes of process and product failures.

 


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