TPSH IS INVITED TO SHARE ITS EXPERIENCE AND DEEP TECH FOR SMART MANUFACTURING.
Feedback will be on : “the real-time quality control on the production line using the TPSH TCAM128-65 camera..
October 23, 2018 at 11:45 am | ENOVA 2018 exhibition – October 23 and 24, 2018, Porte de Versailles.
“At the crossroads of digitalisation, advanced means of manufacturing and artificial intelligence, Industry 4.0 represents the new world of “cognitive cyber-physical systems”.
It offers the promise of efficiency, advanced personalisation of each product and minimal impact on the environment, with optimum material quality being used to manufacture “tailor-made” products, with superior performance and durability to conventional products, at reduced costs, limiting or even eliminating defects and maximising recycling possibilities”.
The seminar “Industry 4.0: DEEP TECH FOR MART MANUFACTURING” aims to review the current problems of production environments and to explore the prospects opened up by Deep Tech through two lines of analysis:
- Real-time quality control on the production line
- Advanced materials and manufacturing processes
We invite you to attend the feedback on the in-situ real-time process control for additive manufacturing using the TPSH camera which proves a discontinuity and/or permanent deformation of a bead.
Claude LEONETTI will discuss an innovative solution for the automatic detection of defects, a high-stakes issue for manufacturers.
Come and exchange on an embedded technology for process control and real-time NDT DMD (Direct Metal Deposition) in powder spraying and SLM (Selective Laser Melting) on powder lite.
The TPSH TCAM128-65 camera is a means of analysing a molten bath in real time to visualise an instability in the number of zones above the threshold and/or an area of high porosity of an element during manufacture.
The TPSH TCAM128-65 camera is the solution that can be integrated on all types of laser machines with an optical line to provide geometrical and physical information of the melt during manufacture, unlike current systems that take an image between each layer.