The research that has been done by a plethora of researchers with Bachelor or master's degree in their field.
As this is not my field, I am trusting in the many studies that have been by these individuals who are experts in the field of welding, Metallurgy, engineering, and additive Manufacturing.
Every study that I post is a validated and trusted citation by individuals with degrees that I listed above.
These studies usually coincide with projects such as DARPA, NIST, EWI, USAF, NAVAIR, aerojet Rocketdyne, Honeywell, GE Aviation, NASA, Siemens, LZN, several universities, and third-party studies.
I do not have to prove anything, as they are the individuals with more expertise than anyone on this board combined.
The documents that they publish are not random and biased, they use the scientific method to prove the validity of certain Technologies such as in process quality monitoring.
Some of the studies specifically use Sigma Labs technology and they document it as such, other studies use the same exact Hardware as Sigma labs uses which one could correlate that when combined with Sigma Labs software a similar if not better outcome will be achieved since Sigma Labs software is very advanced, arguably the most advanced in the industry.
I have posted many of these types of Publications that I have found over the years and they are readily available on this blog and all times. It is not my duty to present them to you, it is your duty to do the research and read them and determine based on the data presented by researchers whose profession is dedicated to additive Manufacturing and metallurgy, if these years and years of studies are correct or if they are all somehow miraculously wrong.
I have not seen one single study that says in process quality monitoring data is unnecessary for additive manufacturing production of high-quality Aerospace and medical parts.
Sigma Labs has the most complete software solution that provides compliance to design intent (ie. Honeywell blog and multiple DARPA phases), the only software that is capable of qualifying powder (NIST, Brandon Lane 2016), integrating materials and manufacturing Towards rapid qualification of powder-bed
laser additively manufactured parts (A. Peralta 2016).
Just to name a few.
Do DD
Glta
SGLB
