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Tytuł artykułu

FMECA analysis of thermal deburring machine EXTRUDE HONE TEM P-350

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study investigates FMECA analysis and its potential use in improving the reliability and maintenance of the thermal deburring machine in a manufacturing company located in Slovakia. In the beginning, an overview of the FMEA/FMECA methods and their utilization for increased reliability are discussed. As a practical solution, the deburring machine EXTRUDE HONE TEM P-350 was chosen. Functions of its systems and components, thermal deburring process, its characteristics and in practice application are described. Maintenance policy in the company and the current state of maintenance of the machine are also presented. In addition, the study includes failure analysis which evaluates the riskiest systems of the machine. One element, hydraulic unit, is a subject for the FMECA analysis which envisions the assessment of the current failure modes using risk priority number (RPN) and proposals of prevention and detection action reducing the level of RPN. The final section focuses on influencing and improving maintenance and summarizing the potential benefits of FMECA Analysis for company and machine operation.
Rocznik
Strony
9--16
Opis fizyczny
Bibliogr. 19 poz., rys., tab.
Twórcy
  • University of Zilina, Faculty of Mechanical Engineering
  • University of Zilina, Faculty of Mechanical Engineering
  • University of Zilina, Faculty of Mechanical Engineering
autor
  • Danfoss Power Solutions, a.s., Považská Bystrica, Slovakia
Bibliografia
  • 1. Adamkiewicz, A. & Fydrych, J. (2013) Application of risk analysis in maintenance of ship power system elements. Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie 36(108) z. 2, pp. 5–12.
  • 2. Blatnický, M., Dižo J. & Blatnická, M. (2018) Transport machine design for adaptive gripping of automotive industry products. Transport Means – Proceedings of the International Conference 2018, Lithuania, Trakai, pp. 26.
  • 3. Chybowski, L. & Matuszak, Z. (2004) Basics of Qualitative and Quantitative Analysis of the Fault Tree Method. Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie 1(73).
  • 4. Famfulik, J., Richtar, M., Rehak, R., Smiraus, J., Dresler, P., Fusek, M. & Mikova, J. (2020) Application of hardware reliability calculation procedures according to ISO 26262 standard. Quality and Reliability Engineering International, doi:10.1002/qre.2625.
  • 5. Galliková, J., Poprocký, R. & Volna, P. (2016) Implementation of FMEA method in maintenance of semi-trailer combination. Diagnostyka 17, 4, pp. 85–92.
  • 6. Gupta, G. & Mishra, R.P. (2017) A Failure Mode Effect and Criticality Analysis of Conventional Milling Machine Using Fuzzy Logic: Case Study of RCM. Quality and Reliability Engineering International 33, 2, pp. 347–356.
  • 7. Harpster, R. & Rama, S. (2018) Risk Based PLM for Tooling and Machinery Design and Manufacturing. Proceedings Annual Reliability and Maintainability Symposium.
  • 8. Hussain, Z. & Jan, H. (2019) Establishing simulation model for optimizing efficiency of CNC machine using reliability-centered maintenance approach. International Journal of Modeling, Simulation, and Scientific Computing 10, 6, 1950034.
  • 9. Janak, L., Stetina, J., Fiala, Z. & Hadas, Z. (2016) Quantities and sensors for machine tool spindle condition monitoring. MM Science Journal, pp. 1648–1653, doi:10.17973/ MMSJ.2016_12_2016204.
  • 10. Kašiar, Ľ., Zvolenský, P., Barta, D., Bavlna, L. & Drozdziel, P. (2016) Diagnostics of electric motor of locomotive series 757. Diagnostyka 17, 3, pp. 95–101.
  • 11. Ostadi, B. & Masouleh, M.S. (2019) Application of FEMA and RPN techniques for man-machine analysis in Tobacco Company. Cogent Engineering 6, 1, doi:10.1080/23311916 .2019.1640101.
  • 12. Pačaiova, H. & Nagyová, A. (2015) Risk assessment methodology in SMES. 15th International Multidisciplinary Scientific Geoconference (SGEM), Albena, Bulgaria, pp. 769– 782.
  • 13. Paprocka, I. (2018) The model of maintenance planning and production scheduling for maximising robustness. International Journal of Production Research 57, 14, pp. 4480–4501.
  • 14. RA-006-013-1A (1966) Office of Manned Space Flight – Apollo Program: Procedure for Failure Mode, Effects, and Criticality Analysis (FMECA).
  • 15. Rakyta, M., Fusko, M., Herčko, J., Závodská, Ľ. & Zrnić, N. (2016) Proactive approach to smart maintenance and logistics as an auxiliary and service processes in a company. Journal of Applied Engineering Science 14, 4, pp. 433–442.
  • 16. Šaderová, J. (2016) Allocation of distribution warehouse as one option for transport costs reduction. Theoretical and Empirical Researches in Urban Management 11, 3, pp. 36–46.
  • 17. Straka, M., Rosová, A., Lenort, R., Besta, P. & Šaderová, J. (2018) Principles of computer simulation design for the needs of improvement of the raw materials combined transport system. Acta Montanistica Slovaca 23, 2, pp. 163–174.
  • 18. Tannady, H., Gunawan, E., Nurprihatin, F. & Wilujeng, F.R. (2019) Process improvement to reduce waste in the biggest instant noodle manufacturing company in South East Asia. Journal of Applied Engineering Science 17, 2, pp. 203–212.
  • 19. Ťavoda, P., Kováč, J. & Łukaszczyk, Z. (2018) Reliability Analysis of Forest Machines Due to FMEA Method. Management Systems in Production Engineering 26, 4, pp. 200–206.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-828f1c63-4a8a-498d-87cd-301eaa304ddd
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