Viking Analytics, a Swedish provider of advanced analytics solutions for predictive operations, and Bharat Forge Kilsta, a Sweden-based supplier of forged components, began collaborating in a data-driven production quality project. In the coming months, Viking Analytics will prepare an assessment of the data collected by sensors installed in the oven that heats steel rods used in the production of crankshafts and front axle beams for heavy-duty vehicles. In Bharat Forge Kilsta’s Karlskoga plant, the forged steel is first heated in an induction oven, whose temperature varies according to different steel grades and products. If a disruption occurs, the oven must be adjusted to keep the metal at a constant temperature. This process is currently performed manually, which sometimes causes human-related deviations in the proper temperature-level records.

In 1956, there was a workshop at Dartmouth College attended by scientists from industry and academia.

Noodle.ai and SMS group announced a partnership to further optimize the world’s first learning steel mill for Arkansas-based Big River Steel. The joint solution was created by implementing Noodle.ai’s learning algorithms into SMS group’s X-Pact MES 4.0. Noodle.ai was able to leverage the existing integration of SMS group’s X-Pact MES 4.0 in the steel mill‘s IT environment and in their SaaS (Software as a Service) applications. The new end solutions digitize applications throughout every stage of the steelmaking process, from the liquid phase all the way to strip finishing.