Continuously increasing requirements in the quality of products and production equipment, as well as the need to make production sequences as efficient as possible, mean that new functions and the latest technologies must be continually implemented.
For this reason a great emphasis is currently being placed on process automation, supervision and quality assurance, plus the coordination of material flow with upstream and downstream production processes.
Together with our customers, EBNER has developed intelligent, compact systems that are effective, easily expandable and built from components that already have a proven track record for their performance and reliability.
From day one, EBNER has equipped its heat treatment facilities with high-quality control systems produced in-house. That is why we have considerable experience in power engineering, electronics, data processing and process control systems.
The EBNER-developed automation range includes complete power distribution systems and control centers plus process control systems, visualization systems, software, mathematical models and documentation.
VISUAL FURNACES® has been developed by EBNER based on Microsoft.NET Framework, and is implemented using C#.
In addition to standardized visualization systems, VISUAL FURNACES® also delivers powerful optimization tools for the widest range of applications.
At bell annealer facilities, stacks are formed according to the technological requirements of each coil - taking into account the best possible temperature uniformity and the highest furnace efficiency.
TREATperfect automatically calculates heating and cooling times using the material data before heat treatment starts, and then checks the variables in online mode; the objective is to compensate for any delays or malfunctions.
On the basis of the standardized OEE (Overall Equipment Effectiveness) reference data system, downtimes are systematically recorded, assessed and used for calculating efficiency
With this module, it is possible ascertain the probability of specific process variables targeting their tolerance range. This allows preventive action to be taken where needed. Maintenance work and spares acquisition can be planned in advance, reducing long downtimes and lost revenue.
In addition to classic statistical values such as mean, standard deviation, min/max and other measures, this module provides you with the process capability index.
This maintenance module facilitates administration and scheduling of the work associated with the maintenance intervals specified in the user manual (both cyclical and production hours dependent jobs).