Renishaw presents smart manufacturing data platform for industrial process control
Renishaw Central collects, presents and initiates accurate process and metrology data to optimize processes, reduce downtime and minimize waste.
Photo Credit: Renishaw Inc.
(West Dundee, Ill., U.S.) Central is a new smart manufacturing data platform that collects, presents and initiates accurate process and metrology data, enhancing the productivity, capability and efficiency of manufacturing operations. The platform connects to measurement devices across the manufacturing process and provides valuable insights that manufacturers can use to analyze, identify, predict and correct process errors before they occur.
Renishaw Central collects metrology, status and alarm data from connected devices across the shop floor. Devices include additive manufacturing systems, on-machine measurement systems, shop floor gaging and coordinate measuring machines. With insight into the process performance of each workstation, manufacturers have a better understanding of where to take corrective measures. In unattended processes, the status of devices can be monitored remotely. If any errors occur, they are detected and displayed within the Central platform's dashboards or other third-party applications.
“The platform operates on-premises, allows shop administrators to own their data and ensures that process control is automated without depending on an internet connection,” Brandon Golab, machine tool product manager at Renishaw Inc., says. “Connectivity, consistency and control drives confidence and, in-turn, the development of future factory concepts.”
Related Content
-
ST Engineering MRAS presents initiatives to drive autoclave efficiency, automation
During a JEC World 2024 panel discussion, the company revealed ways in which it is maximizing throughput and efficiency of its autoclaves and enhancing composites production processes.
-
Schrödinger advances materials informatics for faster development of next-gen composites
Cutting time to market by multiple orders of magnitude, machine learning and physics-based approaches are combined to open new possibilities for innovations in biomaterials, fire-resistant composites, space applications, hydrogen tanks and more.
-
Aerotech Academy Puglia is inaugurated at Leonardo Aerospace site in Grottaglie, Italy
Joining the Leonardo MaTeRIA Lab and Joint Lab with Syensqo, this aerostructures training course will be 75% materials science and structural design/analysis, 25% digital transformation and AI.