National University of Science and Technology “MISiS”, Moscow, Russia

A. A. Bekarevich, Assistant Professor, Head of a Chair “Computer information and management automatic systems”, e-mail: bek@misis.ru

Methods of non-destructive check and technical diagnostics are the important part of modern development of metallurgical production's equipment and technology. In particular, this development includes the manufacturing of structurally complex products by the precision casting method (on the example of the casting of turbine blades of gas turbine engines and the provision of exploitation safety of complex technical systems). In addition, it is possible to apply the considered principles and information complexation methods of multivariate non-destructive check. This application sets a purpose of increasing of defects detection reliability in the final products of metallurgical production (on the example of complex spatial structures — the turbine blades, manufactured by the precision casting). According to this, it is possible to improve the defects detection reliability in complex spatial multilayer structures, on the example of the structures, made from the polymeric composite materials. The detection of defects in the early stages of aggregates manufacturing becomes more actual, taking into account the high requirements to exploitation safety and larger cost and labour intensiveness of turbine blades manufacturing, as well as the larger cost of the aggregates, which exploit the turbine blades. Therefore, it is reasonable to create and introduce the inexpensive equipment and methods of reliable and high-performance defects detection with a large application area for the control implementation on the maximally possible number of stages of the products manufacturing technology. This article presents the complexing methodology, based on the method of inverse probabilities for the complex of simultaneously observed physical areas. This method is practically realized in the form of algorithms, embodied into the software part of the software-hardware complex of the thermal control of turbine blades.

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