Industrial environments consist of multiple processes that must interact with humans and automation. Volumetric Computed Tomography (VCT) is a crucial component to the overall success of many of the industrial inspection routines. Baker Hughes-GE (BHGE) Inspection Technologies, GE Aviation in Asheville, North Carolina and autonomous mobile robot supplier, Capriol, have worked together collaboratively to bring this technology into reality. Mobile Machine Tending (MMT) and collaborative robots allows a much more productive environment to meet customer demand and a world class example of pushing the limits of lean manufacturing.
The phoenix v|tome|x c inspection solution offers a compact 450 kV CT system specially designed for non-destructive testing (NDT) and quality assurance labs in foundries and aerospace applications and allows combined semi-automated non-destructive testing and 3D metrology. The low maintenance and production-oriented design features include easy loading tools, barcode reader as well as a new one-button|CT automation functionality which makes the system very efficient for high throughput industrial quality assurance.
The phoenix v|tome|x c is the first industrial minifocus CT scanner with BHGE’s proprietary breakthrough scatter|correct technology option allowing users to gain a low scatter artifact CT quality level reached for the first time with a conventional industrial flat panel cone beam CT. BHGE’s new scatter|correct technology automatically removes most scatter artifacts from the CT volume. This technological advancement provides image quality similar to that achieved with conventional fan beam scanning but at speeds up to 100 times faster.
The quick|pick manipulator of the high speed configuration HS allows fully automated CT evaluation of large batches, such as scanning up to 25 turbine blades without any operator intervention for approximately 2 hours. The system offers industry leading sample size, flexibility and maximum penetration power for high absorbing samples at 450 kV.
For more information: www.industrial.ai