Analysis of Quality based on the life of bearings mounted on an accelerated life test module

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Wilson Alejandro Huilca Alvarez
Cesar Daniel Arregui Toro

Abstract

The bearings are elements used in the industries, whose failure implies a great impact on the production of the entire manufacturing company. Its operation is vital for electromechanical equipment with rotating elements, either on shafts or in the bearings of industrial machines. The present study proposes the implementation of a quality control by means of an np-type diagram to SKF 6204-2RSH bearings, which will sometimes be elevated to high loads in an accelerated life test module reducing their useful life and taking samples of determined quantities of bearings determining the amount of defects per lot analyzed, with the aim of knowing if it is possible to determine the quality control of these elements by the number of defects. The results achieved with reduced frequency in the useful life of the bearings, showing the defects that can be quantified and recorded in the np tables, to later be analyzed in the characteristic quality control chart. After carrying out the analysis of the control graph, prudent wear of the 10 lots analyzed was observed with the exception of the number 7, which shows a lag of the central line and a surplus of the ranges, accessories along the lower line and exceeded respectively , leading the study to suppose that the bearings part of this lot could be rejected before its operation in the hypothetical case of entering production and manufacturing. It should be noted that in the present analysis there were lubrication factors that were not selected and that may be subject to future research focused on changes that may be surgical under changes in the conditions of the lubricant applied to the bearings.

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Huilca Alvarez, W. A., & Arregui Toro, C. D. (2020). Analysis of Quality based on the life of bearings mounted on an accelerated life test module. ConcienciaDigital, 3(2.1), 145-161. https://doi.org/10.33262/concienciadigital.v3i2.1.1228
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References

Aguilera Ramallo, R. (2010). Análisis de las pérdidas de potencia en rodamientos y poleas del sistema de corte de las KTP (Bachelor's thesis, Universidad de Holguín, Facultad de Ingeniería, Departamento de Ingeniería Mecánica.).
Budynas R, Nisbett K, Shigley J. (2015). Mechanical Engineering Design.. Nueva York, Estados Unidos. McGraw-Hill Education. [Online]. Available: https://goo.gl/1TivVq
Fortea C. (2019) .Técnicas de control de calidad en cirugía: Aplicación de las gráficas de control. Madrid, España. Cirugía Española,Volume 97, Pages 65-70.
Devore, J. L. (2008). Probabilidad y estadística para ingenierías y ciencias. Cengage Learning Editores.
Duluth G, Matthews P. (2013) Acoustic Fault Detection of Mechanical Systems with Active Noise Cancellation. Patent application number: 20130182865, recuperado de: http://www.faqs.org/patents/app/20130182865#ixzz3SDtPXKxL.
Flores M. y Obed D. (2017) Análisis de desgastes mecánicos por tribología para reducir costos de mantenimiento del motor de tractor sobre orugas D6T-Caterpillar. Huancayo Perú, Iniversidad Nacional del Centro de Perú
González Luna, B. V., & Quispe Saca, R. C. (2016). Comparación de la efectividad de las técnicas de ultrasonido pasivo y análisis de vibraciones en la detección de fallas incipientes en rodamientos (Bachelor's thesis, Escuela Superior Politécnica de Chimborazo).
Garza González, M. (2007). Modelo de indicadores de calidad en el ciclo de vida de proyectos inmobiliarios. Universitat Politècnica de Catalunya.
Hernández-Sampieri, R., Fernández-Collado, R., & Baptista-Lucio, P. (2017). Selección de la muestra.
Holmberg K. (2001). Reliability aspects of tribology. Tribology International. ResearchGate. vol. 34, nº 12, p. 2.
Medrano Z, Tello C, Sarduy J, Vera M. (2016). Nueva metodología de diagnóstico de fallas en rodamientos en una máquina síncrona mediante el procesamiento de señales vibro-acústicas empleando análisis de densidad de potencia. Ingeniería, Investigación y Tecnología Vol. 17, nº 1, p. 74. Recuperado de: http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-77432016000100073
Martínez Tabarez, Y. V., & Yoza Plúa, G. R. (2019). Implementación de sistemas administrativos y reestructuración de la planta del taller artesanal Dekormuebles en la ciudad de Guayaquil para el año 2018 (Bachelor's thesis, Universidad de Guayaquil Facultad de Ciencias Administrativas). • Norton R. (2013). Diseño de maquinaria: síntesis y análisis de máquinas y mecanismos. México DF. McGraw-Hill. [Online]. Available: https://goo.gl/fGK4tx • Nieto J. (2007). Elementos de máquinas. Área de Ingeniería Mecánica. Albacete España. Universidad de Castilla. [Online]. Available: https://goo.gl/4wkZpd
Sin M, Soong W, Ertugrul N (2003). Induction machine on-line condition monitoring and fault diagnosis-a survey. University of Adelaide. Recuperado de https://www.researchgate.net/publication/237105539_Induction_machine_on-line_condition_monitoring_and_fault_diagnosis_-_A_survey
Salinas E, Link J, Athanasiou K. (2019). The tribology of cartilage: Mechanisms, experimental techniques, and relevance to translational tissue engineering. Maryland, Estados Unidos. Clinical Biomechanics.
Sathwik C, Lugt P. (2020). Channeling behavior of lubricating greases in rolling bearings: Identification and characterization. Tribology International, 143, 106061.
Silva A, Andrianoely M, Manin L, Ayasamy S, Santini C, Besnier E, and Remond D (2018). Optimization of power losses in poly-v belt transmissions via genetic algorithm and dynamic programming,” Mechanism and Machine Theory, vol. 128, pp. 169–190, 2018. Disponible en https://doi.org/10.1016/j. mechmachtheory.2018.05.016
Suarez, C., Omar, H., & Estupinan Lopez, I. F. (2010). Deteccion De Fallas En Un Motor De Induccion Usando Analisis De Vibraciones Mecanicas Bajo Distintos Escenarios De Carga (Doctoral dissertation, Universidad Industrial de Santander, Escuela De Ing. Mecanica).
Yuanhang Ch, Gaoliang P, Zhiyu Zhu S. (2019). A novel deep learning method based on attention mechanism for bearing remaining useful life prediction. Applied Soft Computing ScinceDirect, Recuperado de: https://www.sciencedirect.com/science/article/pii/S1568494619307008.