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Thanks for your interest! Please take the time to navigate our website and see for yourself that LGE has set the standard of excellence in the process optimization regarding the steel and aluminium making activities.

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We are specialists in process optimization. Our secret is the process knowledge. We deliver ready to go solutions to hit the target of optimization ensuring a fast ROI: at first, we collect the data from almost any kind of different devices (based on different technologies) of a specific variable (speed, position, width, thickness, distance, flatness, temperature, chemical composition) directly during the process.  Second, once collected, we cross analyze the available data, and finally we provide, using advanced algorithms, a reliable output to be used as input for set up your existing process control systems.

Our solutions are online and real-time (with the response time < 1ms).

Our main target is to help our Customers to produce better, faster and cheaper, by helping to identify the possible process bottle-necks.

In few words, our solutions are capable of cross-checking, comparing and providing predictive suggestion or post process statistical reports data.

Main variables are:

  • Speed of the process
  • Position of the material
  • Vibration of the mill stand
  • Thickness or shape of the strip
  • Continuity of the part
  • Planarity (on flat products)
  • Surface defectivity
  • Temperature and environment parameters

Each one of the above data comes from a different equipment or it is calculated indirectly. As input, we can gather data for a large number of devices, using a wide range of protocols, such as:

  • Ethernet
  • Profibus
  • Modbus RTU, Modbus Ethernet
  • CAN-Open
  • Serial / Binary
  • OPC
  • Analog



A process variable trend with an high and uncontrolled instability and variability is the overall result of a process inefficiency to be inspected. It may results in a valuable loss of material or under tolerances final product. Our online solutions will greatly help to control and inspect variables trends to bound them into the wanted target.

On the following charts is a simulation of a thickness deviation from target (wanted final thickness: it shows a longitudinal profile thickness versus the length) on a steel reversible mill (exit stand) with and without the SPC close loop feedback input.

 

Without SPC close loop
 
With SPC close loop

x: length (meters)   y: thickness (microns)