Multi-weld Quality Optimization of Friction Stir Welding for Aluminium Flange Using the Grey-based Taguchi Method

• Autorzy: Sławomir Kłos , Marcin Chciuk
• Języki publikacji: EN

Abstrakty

EN

Predictive maintenance is one of the key aspects of Industry 4.0. The article presents the results of experimental tests of nitrogen purification filters in the installation of a low-pressure, metal processing device. The aim of the research was to develop a predictive algorithm for making decisions regarding the replacement of used filters, based on flow analysis and measurement of the pressure difference in front of and behind the tested filter. For the purposes of the research, a special test stand was constructed, which made it possible to determine the operating characteristics of three selected filters. Based on the tests carried out, the limit characteristics of the parameters measured were determined, identifying the need to replace filters in the gas installation.(original abstract)

Słowa kluczowe

EN

Gas emissions; Industry; Industry 4.0

PL

Emisja gazów; Przemysł; Przemysł 4.0

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2024
• Tom: 15
• Numer: nr 2
• Strony: 65--72

Twórcy

autor

Sławomir Kłos

• University of Zielona Góra

autor

Marcin Chciuk

• University of Zielona Góra

Bibliografia

• Alonso-Fariñas, B., Lupion, M., Rodriguez-Galan, M., &Martinez-Fernandez, J. (2013). New candle prototype for hot gas filtration industrial applications. Fuel, 114, 120-127. DOI: 10.1016/j.fuel.2012.12.054.
• Bulejko, P., Dohnal, M., Pospíšil, J., & Svěrák, T. (2018). Air filtration performance of symmetric polypropylene hollow-fibre membranes for nanoparticle removal. Separation and Purification Technology, 197, 122-128. DOI: 10.1016/j.seppur.2017.12.056.
• Cao, Q., Zanni-Merk, C., Samet, A., Reich, C., Beuvron, F. de B. de, Beckmann, A., & Giannetti, C. (2022). KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0. Robotics and Computer-Integrated Manufacturing, 74(October 2021), 102281. DOI: 10.1016/j.rcim.2021.102281.
• Gong, Y., Zou, D., Zhong, Z., & Xing, W. (2022). High-performance mullite fibrous ceramic filter enhanced by composite sintering aids for dust-laden gas filtration. Separation and Purification Technology, 292, 120967. DOI: 10.1016/j.seppur.2022.120967.
• Gouiaa-Mtibaa, A., Dellagi, S., Achour, Z., & Erray, W. (2018). Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance. Reliability Engineering and System Safety, 173 (November 2017), 1-11. DOI: 10.1016/j.ress.2017.12.020.
• Kłos, S., Patalas-Maliszewska, J., Piechowicz, Ł., & Wachowski, K. (2021). Analysis and predicting the Energy consumption of low-pressure carburising processes. Energies, 14(12). DOI: 10.3390/en14123699.
• Kłos, S., Patalas-Maliszewska, J., & Bazel, M. (2022). Analysis and prediction of leak detection in the low-pressure heat treatment of metal equipment. Operation and reliability, 24(4), 719-727. DOI: 10.17531/ein.2022.4.12.
• Kwon, M., Kim, J., & Kim, J. (2021). Photocatalytic activity and filtration performance of hybrid tio2- cellulose acetate nanofibers for air filter applications. Polymers, 13(8), 1-11. DOI: 10.3390/polym13081331.
• Laguardia, R., Piscini, A., Faggella, M., Gigliotti, R., Morelli, F., Braga, F., & Salvatore, W. (2017). Per- formance based earthquake assessment of an industrial gas filter structur e. COMPDYN 2017 - Proceedings of the 6th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering, 2, 4184-4193. DOI: 10.7712/120117.5715.18439.
• Lakshmi Priya Palla, G., & Kumar Pani, A. (2023). Independent component analysis application for fault detection in process industries: Literature review and an application case study for fault detection in multiphase flow systems. Measurement: Journal of the In ternational Measurement Confederation, 209 (November 2022), 112504. DOI: 10.1016/j.measurement.2023.112504
• Lin, R.-B., Xiang, S., Xing, H., Zhou, W., & Chen, B. (2019). Exploration of porous metal-organic frame-works for gas separation and purification. Coordination Chemistry Reviews, 378, 87-103. DOI: 10.1016/j.ccr.2017.09.027.
• Liu, J., Zhu, F., & Ma, X. (2018). Industrial Application of a Deep Purification Technology for Flue Gas Involving Phase-Transition Agglomeration and Dehumidification. Engineering, 4(3), 416-420. DOI: 10.1016/j.eng.2018.05.009.
• Lupión, M., Gutiérrez Ortiz, F. J., Navarrete, B., &Cortés, V.J. (2010). Assessment performance of high-temperature filtering elements. Fuel, 89(4), 848-854. DOI: 10.1016/j.fuel.2009.04.016.
• Ourya, I., & Abderafi, S. (2023). Clean technology selec-tion of hydrogen production on an industrial scale in Morocco. Results in Engineering, 17(November 2022), 100815. DOI: 10.1016/j.rineng.2022.100815.
• Ptak, T.J. (2017). 1 - Gas filtration. In P.J. Brown & C.L. Cox (Eds.), Fibrous Filter Media (pp. 3-26). Woodhead Publishing. DOI: 10.1016/B978-0-08-100573-6.00002-2.
• Tanabe, E.H., Barros, P.M., Rodrigues, K.B., & Aguiar, M.L. (2011). Experimental investigation of deposition and removal of particles during gas filtration with various fabric filters. Separation and Purification Technology, 80(2), 187-195. DOI: 10.1016/j.seppur.2011.04.031.
• Vu, H.C., Grall, A., Fouladirad, M., & Huynh, K.T. (2021). A predictive maintenance policy considering the market price volatility for deteriorating systems. Computers and Industrial Engineering, 162(September), 107686. DOI: 10.1016/j.cie.2021.107686.
• Yu, Y., Tao, Y., He, Y., & He, Y.-L. (2020). Structure optimization of granular bed filter for industrial flue gas filtration containing coagulative particles: An experimental and numerical study. Advanced Powder Technology, 31(6), 2244-2256. DOI: 10.1016/j.apt.2020.03.017.
• Zhang, Q., & Pinto, J. M. (2022). Energy-aware enterprise-wide optimization and clean energy in the industrial gas industry. Computers and Chemical Engineering, 165(June), 107927. DOI: 10.1016/j.compchemeng.2022.107927.

Identyfikatory

DOI

10.24425/mper.2024.151131