Analysis of the Quality of Bearing Housing and Improving the Method of Identifying the Root of Incompatibility

Analysis of the Quality of Bearing Housing and Improving the Method of Identifying the Root of Incompatibility

SIWIEC Dominika and PACANA Andrzej

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Abstract. In improving the quality of a product, it is important to use actions which allow for identifying problems and their root, which is possible by using adequate techniques. In industrial practice the non-destructive tests are used, because they are effective in the product quality assessment. By their use, it is possible to identify the incompatibility of a product, but not the root of its occurrence. Therefore, it is effective to integrate the non-destructive test with other methods that allow for it. The aim of the study was to identify the root of linear indications detected by the FPI method on a bearing housing using the sequence of quality management techniques. An enterprise localized in the Podkarpacie had a problem with not identified root of incompatibility. In the enterprise, linear indications were often identified on different types of products, and the root of this problem was not known. To solve the problem and identify the root of linear indications, a sequence of selected techniques was used. These methods included the fluorescent method inspection (FPI), Ishikawa diagram and 5Why method. A bearing housing made from 410 steel, on which linear indications were often identified was the subject of the research. By using the Ishikawa diagram, the potential and main causes were identified (production errors and bad storage). By the 5Why method the root of the linear indications was identified – it was faulty material from the supplier. It was shown that integrating the sequence of quality management techniques with the FPI method is effective to identify the root causes of a product. These sequences can be used to quality analyze other types of products and also to identify the root of other types of incompatibilities.

Mechanical Engineering, Bearing Housing, Non-Destructive Test, Quality Management, Fluorescent Method

Published online , 8 pages
Copyright © 2020 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA

Citation: SIWIEC Dominika and PACANA Andrzej, Analysis of the Quality of Bearing Housing and Improving the Method of Identifying the Root of Incompatibility, Materials Research Proceedings, Vol. 17, pp 50-56, 2020


The article was published as article 8 of the book Terotechnology XI

Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.

[1] M. Nowicka-Skowron, R. Ulewicz, Quality management in logistics processes in metal branch, METAL 2015 24th Int. Conf. on Metallurgy and Materials, Ostrava, Tanger, 2015, 1707-1712.
[2] E. Tillová, M. Chalupová, L. Kuchariková, Quality control of cylinder head casting, Production Engineering Archives 14 (2017), 3-6.
[3] A. Pacana, D. Siwiec, L. Bednárová, Analysis of the incompatibility of the product with fluorescent method, Metalurgija 58 (2019) 337-340.
[4] D. Siwiec, L. Bednarova, A. Pacana., M. Zawada, M. Rusko, Decision support in the selection of fluorescent penetrants for industrial non-destructive testing, Przemysł Chemiczny 98 (10) (2019) 1594-1596.
[5] R. Ulewicz, Quality Control System in Production of the Castings from Spheroid Cast Iron, Metalurgija 42 (1) (2003) 61-63.
[6] R. Wolniak, Application methods for analysis car accident in industry on the example of power, Support Systems in Production Engineering 6 (4) (2017) 34-40.
[7] A. Pacana, A. Radon-Cholewa, J. Pacana, et al., The study of stickiness of packaging film by Shainin method, Przemysl Chemiczny 94 (8) (2015) 1334-1336.
[8] T. Ma, Z. Sun, Q. Chen, Study on crack features in images of fluorescent magnetic particle inspection for railway wheelsets. Insight: Non-Destructive Testing and Condition Monitoring 60 (9) (2018) 519-524.
[9] L. Skrzypczak, E. Skrzypczak-Pietraszek, E. Lamer-Zarawska, B. Hojden, Micropropagation of Oenothera-Biennis L. and an assay of fatty-acids. Acta Soc. Bot. Pol. 63 (1994) 173-177.
[10] E. Skrzypczak-Pietraszek, K. Piska, J. Pietraszek, Enhanced production of the pharmaceutically important polyphenolic compounds in Vitex agnus castus L. shoot cultures by precursor feeding strategy. Engineering in Life Sciences 18 (2018) 287-297.
[11] R. Ulewicz, P. Szataniak, F. Novy, Fatigue properties of wear resistant martensitic steel. METAL 2014: 23rd Int. Conf. on Metallurgy and Materials. Ostrava, TANGER (2014) 784-789.
[12] E. Augustyn, M.S. Kozien, A study on possibility to apply piezoelectric actuators for active reduction of torsional beams vibrations. Acta Phys. Pol. A 125 (2014) A164-A168.
[13] M. Domagala, H. Momein, J. Domagala-Fabis, G. Filo, M. Krawczyk, J. Rajda, Simulation of particle erosion in a hydraulic valve. Materials Research Proceedings 5 (2018) 17-24.
[14] W. Zorawski, R. Chatys, N. Radek, J. Borowiecka-Jamrozek, Plasma-sprayed composite coatings with reduced friction coefficient. Surf. Coat. Technol. 202 (2008) 4578-4582.
[15] D. Klimecka-Tatar, S. Borkowski, P. Sygut, The kinetics of Ti-1Al-1Mn alloy thermal oxidation and characteristic of oxide layer. Arch. Metall. Mater. 60 (2015) 735-38.
[16] R. Dwornicka, N. Radek, M. Krawczyk, P. Osocha, J. Pobedza, The laser textured surfaces of the silicon carbide analyzed with the bootstrapped tribology model. METAL 2017 26th Int. Conf. on Metallurgy and Materials (2017), Ostrava, Tanger 1252-1257.
[17] N. Radek, A. Szczotok, A. Gadek-Moszczak, R. Dwornicka, J. Broncek, J. Pietraszek, The impact of laser processing parameters on the properties of electro-spark deposited coatings. Arch. Metall. Mater. 63 (2018) 809-816.
[18] N. Radek, K. Bartkowiak, Laser treatment of electro-spark coatings deposited in the carbon steel substrate with using nanostructured WC-Cu electrodes. Physics Procedia. 39 (2012) 295-301.
[19] J. Pietraszek, Response surface methodology at irregular grids based on Voronoi scheme with neural network approximator. In: Rutkowski L., Kacprzyk J. (eds) Neural Networks and Soft Computing. Advances in Soft Computing, vol 19. Physica, Heidelberg: 2003, 250-255.
[20] A. Gadek-Moszczak, History of stereology. Image Anal. Stereol. 36 (2017) 151-152.
[21] L. Wojnar, A. Gadek-Moszczak, J. Pietraszek, On the role of histomorphometric (stereological) microstructure parameters in the prediction of vertebrae compression strength. Image Analysis and Stereology 38 (2019) 63-73.
[22] D. C. Moreira., H. C. Furtado, J. S. Buarque, et al., Failure analysis of AISI 410 stainless-steel piston rod in spillway floodgate, Engineering Failure Analysis 97 (2019) 506-517.
[23] M. Moradi, H. Arabi., S. J. Nasab et al., A comparative study of laser surface hardening of AISI 410 and 420 martensitic stainless steels by using diode laser, Optics and Laser Technology 111 (2019) 347-357.
[24] T.S. Oliveira, E. S Silva, S. F Rodrigues et al., Softening Mechanisms of the AISI 410 Martensitic Stainless Steel Under Hot Torsion Simulation, Materials Research 20 (2) (2017) 395-406.
[25] J. Zheng, W. F. Xie, M. Viens et al., Design of an advanced automatic inspection system for aircraft parts based on fluorescent penetrant inspection analysis, Insight: Non-Destructive Testing and Condition Monitoring 57 (1) (2015) 18-24 and 34.
[26] D. Siwiec, A. Pacana, The use of quality management techniques to analyse the cluster of porosities on the turbine outlet nozzle, Production Engineering Archives 24 (2019) 33-36.
[27] E. Nedeliaková, V. Štefancová, M. P. Hranický, Implementation of six sigma methodology using DMAIC to achieve processes improvement in railway transport, Production Engineering Archives 23 (2019) 18-21.
[28] R. Ulewicz, M. Nowicka-Skowron, Total quality management in the practice of Polish metallurgical enterprises, METAL 2017 26th Int. Conf. on Metallurgy and Materials, Ostrava, Tanger, 2017, 2338-2343.
[29] N.J. Shipway, P. Huthwaite, M.J.S. Lowe, T.J. Barden, Performance Based Modifications of Random Forest to Perform Automated Defect Detection for Fluorescent Penetrant Inspection, Journal of Nondestructive Evaluation 38 (2) (2019) art. 37.
[30] J. Zheng, W. F. Xie, M. Viens, M. et al., Design of an advanced automatic inspection system for aircraft parts based on fluorescent penetrant inspection analysis, Insight: Non-Destructive Testing and Condition Monitoring 57 (1) (2015) 18-34.
[31] Lovejoy D., Penetrant testing. A practical guide. New York, Chapman & Hall, 1991.