What can additive manufacturing add to data analytics?
April 4, 2023
3D printing machines generate more than just physical products
Artificial intelligence (AI) can take a hardware problem and offer a software solution. Machine learning (ML) can optimize hardware, automatically enhancing 3D printers through software updates to increase printing speeds and improve resolution. AI can help businesses determine which parts, when produced in-house through additive manufacturing, will have the biggest impact on their bottom lines. It can also connect to digital catalogs of existing parts and detect which specific parts are the best candidates to be printed through various additive manufacturing techniques.
Find out how the digitalization of the manufacturing sector, specifically additive manufacturing, is applying technologies such as cloud computing, smart automation, Internet of Things, digital inventories and data analytics to use data to help engineers make better decisions, improve machine processes and ultimately reach autonomy.
Industrial manufacturing equipment often relies on human-machine interfaces, industrial PCs and enclosures to ensure system reliability and optimal performance. These components...
Large rotational applications like MRI machines, excavators, mobile equipment, forklifts and stagecraft require precise motion feedback for optimal performance, safety and efficiency...
Encoders can be used in material handling on sorters, conveyors, in automated storage retrieval systems, on mobile equipment, automated mobile robots and more. See how one company...
The right encoder makes all the difference. Incremental encoders are perfect for tracking speed and direction in dynamic motion. Absolute encoders? They remember exact positioning...
