Optimization Software SQ-EOP
SQ-EOP application software, developed at Schlingmeier Quarzsand, enables the user to analyse special customer requirements, even extremely complex defined property distributions – e.g. grain size distribution, colour, chemical composition, very quickly and offer a product that comes closest to meeting customer specifications. The program is based on iterative blending calculations.
Products tailored to customers’ specific demands:
- Individual design of the particle size distribution according to customer specification
- Mathematically best possible approximation of the set values
- Easy set of tolerance limits for particle size distribution, composition and colour
- Results available within a few seconds
- Calculation “just in time” before loading
- Compensation of natural fluctuations of raw material properties
- Higher uniformity of the final products
Press reports
“Optimierung der Eigenschaften disperser Feststoffe durch iterative Mischungsrechnung am Beispiel von hochwertigen Industriesanden”. Aufbereitungs Technik (42, Jahr 2001), Nr. 8, S. 378/385), Verfasser: Dr.-Ing. Manfred Höller, Schlingmeier Quarzsand GmbH & Co. KG.
Summary SQ-EOP application software, developed on the basis of Visual Basic, can be used for the integral analysis, evaluation and optimization of complex material properties of disperse solids, without necessitating any changes to the production conditions. The program is based on blending calculations. The software technology has been used successfully since the beginning of 1997 in two sand works owned by Schlingmeier Quarzsand. A considerable reduction has been achieved in the deposit- and production-related variations in the material properties of the saleable products. In addition, the program enables the user to analyse special customer requirements, even extremely complex defined property distributions, very quickly and offer a product that comes closest to meeting customer specifications. Moreover, the software ensures optimal utilization of the available raw material resources by incorporating deficiency and surplus studies. A numeric simulation of the screening process integrated in the program is used to avoid production-related bottlenecks and surpluses. In this report, the application and performance features of the program are explained firstly in principle and then based on a typical application.