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USE OF REGRESSION ANALYSIS TO REDUCE WASTE IN THE DEFORMATION OF ? +? TITANIUM ALLOYS
Abstract
The paper deals with the ? + ? titanium alloys, due to their good properties such as low specific weight and high values of mechanical properties have found wide application as a construction material. Their disadvantage is high price and complicated production of the basic material - titanium but also alloying components (molybdenum, chromium), associated with high energy demand and undesirable effects on ecology. The inhomogeneity of the deformation with formation of deformation bands are typical for these alloys, which can significantly deteriorate the properties of forgings. The recycling of such products is complicated and energy-intensive. The goal of the presented work is to establish a regression equations that defines the forging parameters, in which deformation inhomogeneity - bands do not arise or their character does not significantly deteriorate the property of final product. It can be considered as a novelty of research. Used linear regression takes into account the forming temperature, the strain rate, and the degree of strain. It is possible to predict the mechanical properties of the structure that will be created in this way: strength, hardness, and plastic properties. The contribution of the authors lies in the practical implementation of deformation experiments, measurement of mechanical properties and metallographic analysis of forgings and the resulting summarization of the knowledge obtained in this way in the form of regression equations.
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