Advancements in Materials, Vol. 1, Issue 1, Dec  2017, Pages 50-60; DOI: 10.31058/j.am.2017.11005 10.31058/j.am.2017.11005

The Application of Statistical Methods in Assessing the Quality of Finishing of Building Products and Construction

Advancements in Materials, Vol. 1, Issue 1, Dec  2017, Pages 50-60.

DOI: 10.31058/j.am.2017.11005

Loganina V. I. 1* , Uchaeva T.V. 2

1 Professorship Technische informatik, Computer Science Faculty, Technische Universitat Chemnitz, Chemnitz, Germany

2 Department of Quality Management and Technology of Construction Production, University of Architecture and Construction, Penza, Russia

Received: 20 December 2017; Accepted: 2 January 2018; Published: 13 January 2018

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Abstract

Information is provided on the application of statistical methods for managing the quality of products when painting building products and structures. It is shown, that the quality of the finish depends on the method of applying the paint, the porosity of the cement substrate. For coatings based on all types of paints the minimum roughness value of the coating surface and the minimum value of the risk are typical in the case of applying paints to the putty surface, regardless of the method of application. Offered to organizations, firms, engaged in the execution of finishing works, the introduction of the kaizen approach to the renewal of staining technology, based on continuous improvement of activities and providing for the use of statistical methods for managing the quality of products. Information on the effect on the longevity of coatings of the quality of their appearance is given. It is shown, that coatings with a high roughness index are characterized by low durability during exploitation. A model of the cohesive strength of coatings is presented, depending on the surface roughness.

Keywords

Statistical Methods, Risk, Coefficient of Variation, Quality of Finish, Roughness

Copyright

© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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