Steel scrap is blended for desired density and composition before charging into an Electric Arc Furnace (EAF). Fluctuations in scrap density can cause inefficiencies and increased power consumption. An automated inspection system is needed for real-time scrap density detection

We are looking for a cost-effective and sustainable KOH recovery process from effluent stream.

This challenge focuses on detecting clamping and routing issues in chassis assembly during the End-of-Line (EOL) and Pre-Delivery Inspection (PDI) stages. The complexity of overlapping routing paths and reliance on manual inspection make it prone to errors, impacting vehicle safety and reliability.

The challenge addresses inefficiencies in dispensing multiple small components (e.g., clamps, nuts, bolts) for assembly, which often leads to incorrect counts and disrupts production. A scalable, cost-effective solution is sought to ensure accurate dispensing and enhance operational efficiency.

This challenge involves real-time condition monitoring of critical components in Roller Brake Test (RBT) machines, which operate under variable speeds and dynamic conditions. The goal is to develop solutions for timely fault detection to prevent breakdowns and ensure reliability.

We are looking for a solution to enhance the ductility of high carbon wire rods within a span of 3 days as opposed to the current span of 10 to 21 days.