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Out-Of-Position Bead Geometry Prediction in Wire Arc Additive Manufacturing (WAAM) Using Fuzzy Logic-Based System

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Materials and parameters for conventional arc welding with the welding torch in vertical (PA) position are well known and investigated. However, apart from the ideal PA-position, not much is known about a deposition in so called ‘forced’ positions. This is becoming increasingly important in the case of particularly large components, as these can efficiently neither be clamped nor moved on a rotating and tilting table. More flexibility is achieved when the welding gun is moved as a tool on curvilinear paths to build up complex parts without necessary part movement. This link to the component surface means to leave the ideal vertical position. To make that possible, optimal parameters must be found for each angular position to enable high-quality and reliable build-up welding. In this work, a fuzzy logic-based system is designed based on set of experiments in single and double-layer weld beads structure using mild steel wire to predict the bead widths and heights for three different positions (Horizontal, Rising, and Falling torch movement). A comparison between the fuzzy and experimental values is studied. The averages of width mean error between experimental and fuzzy logic model values for the three positions were (1.3%) and (0.85%) for the single and double-layer weld beads, respectively. Averages of width mean error for the bead heights were (0.97%) and (0.73%) for the two structures. The current proposed study demonstrates a good agreement between the predicted fuzzy values and the experimental outcomes for the bead width and height.
Wydawca
Rocznik
Tom
Strony
46--53
Opis fizyczny
Bibliogr. 22 poz., rys., tab.
Twórcy
  • Production Engineering and Metallurgy Department University of Technology Baghdad, Iraq
  • Production Engineering and Metallurgy Department University of Technology Baghdad, Iraq
  • Salahaddin University Erbil, Iraq
  • Chair of Additive Manufacturing Institute of Machine Elements Engineering Design and Manufacturing TU Bergakademie Freiberg, Germany
  • Additive Manufacturing Institute of Machine Elements Engineering Design and Manufacturing TU Bergakademie Freiberg, Germany
  • Chair of Additive Manufacturing Institute of Machine Elements Engineering Design and Manufacturing TU Bergakademie Freiberg, Germany
Bibliografia
  • [1] S. Pattanayak, S.K. Sahoo, “Gas metal arc welding based additive manufacturing – a review,” CIRP Journal of Manufacturing Science and Technology, vol. 33, pp. 398–442, 2021.
  • [2] BS EN ISO/ASTM 52900:2017 Additive Manufacturing – General Principles – Terminology, BSI Standards Publication, 2017.
  • [3] C.R. Cunningham, J.M. Flynn, A. Shokrani, V. Dhokia, S.T. Newman, “Invited review article: Strategies and processes for high quality wire arc additive manufacturing,” Additive Manufacturing, vol. 22, pp. 672–686, 2018.
  • [4] L.P. Raut, R.V. Taiwade, “Wire Arc Additive Manufacturing: A Comprehensive Review and Research Directions,” Journal of Materials Engineering and Performance, vol. 30, pp. 4768–4791, 2021.
  • [5] M. Chaturvedi, E. Scutelnicu, C.C. Rusu, L.R. Mistodie, D. Mihailescu, A.V. Subbiah, “Wire Arc Additive Manufacturing: Review on Recent Findings and Challenges in Industrial Applications and Materials Characterization,” Metals, vol. 11, no. 6, p. 939, 2021.
  • [6] V.T. Le, D.S. Mai, T.K. Doan, H. Paris, “Wire and arc additive manufacturing of 308L stainless steel components: Optimization of processing parameters and material properties,” Engineering Science and Technology, an International Journal, vol. 24, no. 4, pp. 1015–1026, 2021.
  • [7] K.S. Derekar, “A review of wire arc additive manufacturing and advances in wire arc additive manufacturing of aluminium,” Materials Science and Technology, vol. 34, pp. 895–916, 2018.
  • [8] K. Treutler, V. Wesling, “The Current State of Research of Wire Arc Additive,” Applied Sciences, vol. 11, no. 18, p. 8619, 2021.
  • [9] B.A. Szost, S. Terzi, F. Martina, D. Boisselier, A. Prytuliak, T. Pirling, M. Hofmann, D.J. Jarvis, “A comparative study of additive manufacturing techniques: Residual stress and microstructural analysis of CLAD and WAAM printed Ti-6Al-4V components,” Materials & Design, vol. 89, pp. 559–567, 2016.
  • [10] T.A. Rodrigues, V. Duarte, R.M. Miranda, T.G. Santos, J.P. Oliveira, “Current Status and Perspectives on Wire and Arc Additive Manufacturing (WAAM),” Materials, vol. 12, no. 7, p. 1121, 2019.
  • [11] X. Chen, F. Kong, Y. Fu, X. Zhao, R. Li, G. Wang, H. Zhang, “A review on wire-arc additive manufacturing: typical defects, detection approaches, and multisensor data fusion-based model,” The International Journal of Advanced Manufacturing Technology, vol. 117, pp. 707–727, 2021.
  • [12] P. Wang, S. Hu, J. Shen, Y. Liang, “Characterization the contribution and limitation of the characteristic processing parameters in cold metal transfer deposition of an Al alloy,” Journal of Materials Processing Technology, vol. 245, pp. 122–133, 2017.
  • [13] B. Tomar, S. Shiva, “Cold metal transfer-based wire arc additive manufacturing,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 45, no. 3, p. 157, 2023.
  • [14] S. Selvi, A. Vishvaksenan, E. Rajasekar, “Cold metal transfer (CMT) technology – An overview,” Defence Technology, vol. 14, p. 28e44, 2018.
  • [15] D. Ding, Z. Pan, D. Cuiuri, H. Li, S. Duin, N. Larkin, “Bead modelling and Implementation of adaptive MAT path in wire and arc additive manufacturing,” Robotics and Computer-Integrated Manufacturing, vol. 39, pp. 32–42, 2016.
  • [16] A. Adebayo, X. Tonnellier, “Limiting Travel Speed in Additive Layer Manufacturing,” in Proceedings of the 9th International Conference on Trends in Welding Research, Chicago, Illinois, USA, 2012.
  • [15] S. Vijila, S. Ananthalakshmi, M. Kalaiselvi, P. Vijayan, V.S. Esther Pushpam, “Development of fuzzy rule based system for prediction of weld bead geometry,” in AIP Conference Proceedings, 2021.
  • [16] P. Hu, J. Huang, M. Zeng, “Application of fuzzy control method in gas metal arc welding,” International Journal of Advanced Manufacturing Technology, vol. 92, pp. 1769–1775, 2017.
  • [17] Y. Surender and D.K. Pratihar, “Fuzzy Logic-Based Techniques for Modeling the Correlation between the Weld Bead Dimension and the Process Parameters in MIG Welding,” International Journal of Manufacturing Engineering, 2013.
  • [18] K. Dąbrowski, K. Skrzypek, “Application of Fuzzy Analytic Hierarchy Process to Building Research Teams,” Management Systems in Production Engineering, vol. 21, no. 1, pp. 7–11, 2016.
  • [19] M.H. Al-Khafaji, “Development of Fuzzy Logic Model For Cutting Parameters Influence on The Cutting Force And The Chip Thickness Ratio During Turning Of Aluminum Alloy 1350-O,” The Iraqi Journal For Mechanical And Material Engineering, vol. 18, no. 1, pp. 110–124, 2018.
  • [20] K. Abd, K. Abhary, R. Marian, “Multi-objective optimisation of dynamic scheduling in robotic flexible assembly cells via fuzzy-based Taguchi approach,” Computers & Industrial Engineering, vol. 99, pp. 250–259, 2016.
  • [21] M.K. Oudah, M.Q. Sulttan, S.W. Shneen, “Fuzzy type 1 PID controllers design for TCP/AQM wireless networks,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 21, no. 1, pp. 118–127, 2021.
  • [22] T.J. Ross, Fuzzy Logic with Engineering Application, John Wiley & Sons, 2009.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-878c4916-3c78-495e-90dc-bbc2155d4db0
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