International Journal on Interactive Design and Manufacturing (IJIDeM)

Erschienen in:

26.06.2024 | Original Article

An investigation of the effect of auxiliary pins on mechanical properties of friction stir welded AA2024-T351

verfasst von: Amir Ghiasvand, Soran Hassanifard, Mohammad Zehsaz, John William Grimaldo Guerrero, Hesamoddin A. Derazkola

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 9/2024

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Die Studie konzentriert sich auf die Auswirkungen von Hilfsstiften beim Rührreibschweißen (FSW) der Aluminiumlegierung AA2024-T351, einem hochfesten Werkstoff, der in der Luftfahrt- und Automobilindustrie eingesetzt wird. Es wird untersucht, wie unterschiedliche Werkzeuggeometrien, einschließlich einzelner und doppelter Hilfsstifte, mechanische Eigenschaften, Mikrostruktur und Härte beeinflussen. Die Forschung zeigt, dass Werkzeuge mit einem Hilfsstift Zugfestigkeit und Duktilität deutlich verbessern, während zwei Hilfsstifte zu unkontrolliertem Kunststofffluss und verminderten mechanischen Eigenschaften führen. Numerische Simulationen bestätigen die experimentellen Ergebnisse und zeigen, dass die Optimierung der Werkzeuggeometrie die Wärmeerzeugung und Materialmischung verbessern und zu stärkeren Schweißnähten führen kann. Die Studie kommt zu dem Schluss, dass Hilfsstifte FSW-Prozesse optimieren können, aber ihre Konstruktion und Positionierung sorgfältig kontrolliert werden muss, um Fehler zu vermeiden und die Schweißqualität zu maximieren.

KI-Generiert

Diese Zusammenfassung des Fachinhalts wurde mit Hilfe von KI generiert.

Vorheriger Artikel Coupled thermomechanical FE analysis of multi-pass welding in thick pipe

Nächster Artikel Newly applied practices to alleviate design uncertainty: a case study of a design scheme based on the DEMATEL–ANP–VIKOR theory

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Khoram, D., Elyasi, M., AghajaniDerazkola, H., Mirnia, M.J.: Effects of shear bond on quality of friction stir additive manufactured copper. Mater. Lett. 352, 135153 (2023). https://doi.org/10.1016/j.matlet.2023.135153CrossRef

Derazkola, H.A., Elyasi, M.: Cooling-assist friction stir welding: a case study on AA6068 aluminum alloy and copper joint. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. (2023). https://doi.org/10.1177/09544054231209779CrossRef

Manickam, S., Rajendran, C., Balasubramanian, V.: Investigation of FSSW parameters on shear fracture load of AA6061 and copper alloy joints. Heliyon 6, e04077 (2020). https://doi.org/10.1016/j.heliyon.2020.e04077CrossRef

Ghiasvand, A., Kazemi, M., Mahdipour Jalilian, M., Ahmadi, R.H.: Effects of tool offset, pin offset, and alloys position on maximum temperature in dissimilar FSW of AA6061 and AA5086. Int. J. Mech. Mater. Eng. 15, 6 (2020). https://doi.org/10.1186/s40712-020-00118-yCrossRef

Elyasi, M., Khoram, D., Aghajani Derazkola, H., Mirnia, M.J.: Effects of process parameters on properties of friction stir additive manufactured copper. Int. J. Adv. Manuf. Technol. (2023). https://doi.org/10.1007/s00170-023-11931-yCrossRef

Abdullah, M.E., Rohim, M., Nafea, M., Rohim, M., Mohammed, M.M., Derazkola, H.A.: Effects of partial-contact tool tilt angle on friction stir welded aa1050 aluminum joint properties. Materials (2023). https://doi.org/10.3390/ma16114091CrossRef

Abhilash, J., Apeksha, B.A.: Simulation of friction stir welding using thermo-mechanical coupled finite element method. IOP Conf. Ser. Mater. Sci. Eng. 455, 12113 (2018). https://doi.org/10.1088/1757-899X/455/1/012113CrossRef

Vijayakrishna, B., Mrudula, G., Sagar, Y., Prakash, P., Janaki, D.V., Satyanarayana, M.V.N.V.: Mechanical properties enhancement in friction stir processed AA2024 alloy through pin profile optimization. J. Inst. Eng. Ser. D (2024). https://doi.org/10.1007/s40033-024-00751-3CrossRef

Khalaf, H.I., Al-Sabur, R., Derazkola, H.A.: Effect of number of tool shoulders on the quality of steel to magnesium alloy dissimilar friction stir welds. Arch. Civ. Mech. Eng. 23, 125 (2023). https://doi.org/10.1007/s43452-023-00673-zCrossRef

10.

Elyasi, M., Taherian, J., Hosseinzadeh, M., Kubit, A., Derazkola, H.A.: The effect of pin thread on material flow and mechanical properties in friction stir welding of AA6068 and pure copper. Heliyon 9, e14752 (2023). https://doi.org/10.1016/j.heliyon.2023.e14752CrossRef

11.

Elangovan, K., Balasubramanian, V.: Influences of tool pin profile and tool shoulder diameter on the formation of friction stir processing zone in AA6061 aluminium alloy. Mater. Des. 29, 362–373 (2008). https://doi.org/10.1016/j.matdes.2007.01.030CrossRef

12.

Amini, S., Amiri, M.R.: Pin axis effects on forces in friction stir welding process. Int. J. Adv. Manuf. Technol. 78, 1795–1801 (2015). https://doi.org/10.1007/s00170-015-6785-zCrossRef

13.

Kumar, H., Prasad, R., Kumar, P.: Effect of tool pin eccentricity on microstructural and mechanical properties of friction stir processed copper. Vacuum 185, 110037 (2021). https://doi.org/10.1016/j.vacuum.2020.110037CrossRef

14.

Choudhary, A.K., Teja, P.J., Jain, R.: Enhancement of mechanical and microstructural properties of friction stir welded AA2024 by eccentric square tool pin. Mater. Chem. Phys. 311, 128550 (2024). https://doi.org/10.1016/j.matchemphys.2023.128550CrossRef

15.

Chen, Y., Wang, H., Wang, X., Ding, H., Zhao, J., Zhang, F., et al.: Influence of tool pin eccentricity on microstructural evolution and mechanical properties of friction stir processed Al-5052 alloy. Mater. Sci. Eng. A 739, 272–6 (2019). https://doi.org/10.1016/j.msea.2018.10.057CrossRef

16.

Yan, Y., Shen, Y., Zhang, W., Guan, W.: Effects of friction stir spot welding parameters on morphology and mechanical property of modified cast nylon 6 joints produced by double-pin tool. Int. J. Adv. Manuf. Technol. 92, 2511–2523 (2017). https://doi.org/10.1007/s00170-017-0306-1CrossRef

17.

Yan, Y., Shen, Y., Lan, B., Gao, J.: Influences of friction stir welding parameters on morphology and tensile strength of high density polyethylene lap joints produced by double-pin tool. J. Manuf. Process 28, 33–40 (2017). https://doi.org/10.1016/j.jmapro.2017.05.019CrossRef

18.

Akbari, M., Aliha, M.R.M., Keshavarz, S.M.E., Bonyadi, A.: Effect of tool parameters on mechanical properties, temperature, and force generation during FSW. Proc. Inst. Mech. Eng. Part L J. Mater. Des. Appl. 233, 1033–1043 (2019). https://doi.org/10.1177/1464420716681591CrossRef

19.

Kadian, A.K., Biswas, P.: Effect of tool pin profile on the material flow characteristics of AA6061. J. Manuf. Process. 26, 382–92 (2017). https://doi.org/10.1016/j.jmapro.2017.03.005CrossRef

20.

Shah, L.H., Guo, S., Walbridge, S., Gerlich, A.: Effect of tool eccentricity on the properties of friction stir welded AA6061 aluminum alloys. Manuf. Lett. 15, 14–17 (2018). https://doi.org/10.1016/j.mfglet.2017.12.019CrossRef

21.

Mao, Y., Ke, L., Liu, F., Liu, Q., Huang, C., Xing, L.: Effect of tool pin eccentricity on microstructure and mechanical properties in friction stir welded 7075 aluminum alloy thick plate. Mater. Des. 62, 334–43 (2014). https://doi.org/10.1016/j.matdes.2014.05.038CrossRef

22.

Amini, S., Amiri, M.R., Barani, A.: Investigation of the effect of tool geometry on friction stir welding of 5083-O aluminum alloy. Int. J. Adv. Manuf. Technol. 76, 255–261 (2015). https://doi.org/10.1007/s00170-014-6277-6CrossRef

23.

Hou, W., Shen, Y., Huang, G., Yan, Y., Guo, C., Li, J.: Dissimilar friction stir welding of aluminum alloys adopting a novel dual-pin tool: Microstructure evolution and mechanical properties. J. Manuf. Process. 36, 613–20 (2018). https://doi.org/10.1016/j.jmapro.2018.10.044CrossRef

24.

Giallanza, A., Parrinello, F., Ruggiero, V., Marannano, G.: Fatigue crack growth of new FML composites for light ship buildings under predominant mode II loading condition. Int. J. Interact. Des. Manuf. 14, 77–87 (2020). https://doi.org/10.1007/s12008-019-00617-zCrossRef

25.

Gogoi, S., Siddiqui, H.R., Banerjee, S., Kashyap, S., Kirtania, S., Bhadra, R.: Hall-Petch and Hollomon modeling for microalloyed 2219Al alloys under different thermo-mechanical treatments. Int. J. Interact. Des. Manuf. (2023). https://doi.org/10.1007/s12008-023-01313-9CrossRef

26.

Fratini, L., Buffa, G., Micari, F., Shivpuri, R.: On the material flow in FSW of T-joints: Influence of geometrical and tecnological parameters. Int. J. Adv. Manuf. Technol. 44, 570–578 (2009). https://doi.org/10.1007/s00170-008-1836-3CrossRef

27.

Li, Z., Chen, S., Meng, L., Gao, Y., Yang, Z., Shi, M., et al.: On the effects of high and ultra-high rotational speeds on the strength, corrosion resistance, and microstructure during friction stir welding of Al 6061–T6 and 316L SS alloys. Coatings (2021). https://doi.org/10.3390/coatings11121550CrossRef

28.

Sharma, S., Anitha, D., Chaturvedi, V., Vimal, J., Jayaswal, P., Saxena, K.K., et al.: MIG welding process parameter optimisation of AISI 1026 steel using Taguchi-TOPSIS method. Int. J. Interact. Des. Manuf. (2023). https://doi.org/10.1007/s12008-023-01528-wCrossRef

29.

Meyghani, B., Awang, M.B., Emamian, S.S., Mohd Nor, M.K.B., Pedapati, S.R.: A comparison of different finite element methods in the thermal analysis of friction stir welding (FSW). Metals (2017). https://doi.org/10.3390/met7100450CrossRef

30.

Al-Badour, F., Merah, N., Shuaib, A., Bazoune, A.: Coupled Eulerian Lagrangian finite element modeling of friction stir welding processes. J. Mater. Process. Technol. 213, 1433–1439 (2013). https://doi.org/10.1016/j.jmatprotec.2013.02.014CrossRef

31.

Saleem, W., Asad, M., Zain-ul-abdein, M., Ijaz, H., Mabrouki, T.: Numerical investigations of optimum turning parameters—AA2024-T351 aluminum alloy. Mach. Sci. Technol. 20, 634–654 (2016). https://doi.org/10.1080/10910344.2016.1224019CrossRef

32.

Kouadri, S., Necib, K., Atlati, S., Haddag, B., Nouari, M.: Quantification of the chip segmentation in metal machining: application to machining the aeronautical aluminium alloy AA2024-T351 with cemented carbide tools WC–Co. Int. J. Mach. Tools Manuf. 64, 102–13 (2013). https://doi.org/10.1016/j.ijmachtools.2012.08.006CrossRef

33.

Johnson, G.R., Cook, W.H.: Fracture characteristics of three metals subjected to various strains, strain rates, temperatures and pressures. Eng. Fract. Mech. 21, 31–48 (1985). https://doi.org/10.1016/0013-7944(85)90052-9CrossRef

34.

Sajed, M., Guerrero, J.W.G., Derazkola, H.A.: A literature survey on electrical-current-assisted friction stir welding. Appl. Sci. 13, 1563 (2023). https://doi.org/10.3390/app13031563CrossRef

35.

Fan, G., Tomków, J., Abdullah, M.E., Derazkola, H.A.: Investigation on polypropylene friction stir joint: effects of tool tilt angle on heat flux, material flow and defect formation. J. Mater. Res. Technol. 23, 715–29 (2023). https://doi.org/10.1016/j.jmrt.2023.01.028CrossRef

36.

Khalaf, H.I., Al-Sabur, R., Demiral, M., Tomków, J., Łabanowski, J., Abdullah, M.E., et al.: The effects of pin profile on HDPE thermomechanical phenomena during FSW. Polymers 14, 4632 (2022). https://doi.org/10.3390/polym14214632CrossRef

37.

Aghajani Derazkola, H., Kordani, N., Mohammadi, A.R.: Investigation of joining mechanism of electrical-assist friction stir joining between polyethylene (PE) and 316 stainless steel. Arch Civ Mech Eng 22, 199 (2022). https://doi.org/10.1007/s43452-022-00524-3CrossRef

38.

Al-Badour, F., Merah, N., Shuaib, A., Bazoune, A.: Thermo-mechanical finite element model of friction stir welding of dissimilar alloys. Int. J. Adv. Manuf. Technol. 72, 607–617 (2014). https://doi.org/10.1007/s00170-014-5680-3CrossRef

39.

Aziz, S.B., Dewan, M.W., Huggett, D.J., Wahab, M.A., Okeil, A.M., Liao, T.W.: Impact of friction stir welding (FSW) process parameters on thermal modeling and heat generation of aluminum alloy joints. Acta Metall. Sin. 29, 869–83 (2016). https://doi.org/10.1007/s40195-016-0466-2CrossRef

40.

Di Bella, G., Favaloro, F., Borsellino, C.: Effect of process parameters on friction stir welded joints between dissimilar aluminum alloys: a review. Metals (2023). https://doi.org/10.3390/met13071176CrossRef

41.

Khalaf, H.I., Al-sabur, R., Abdullah, M.E., Kubit, A., Derazkola, H.A.: Effects of underwater friction stir welding heat generation on residual stress of AA6068-T6 aluminum alloy. Materials (2022). https://doi.org/10.3390/ma15062223CrossRef

42.

Raj, A., Pratap Kumar, J., MelwinRego, A., Sunit, Rout I.: Optimization of friction stir welding parameters during joining of AA3103 and AA7075 aluminium alloys using Taguchi method. Mater. Today Proc. 46, 7733–9 (2021). https://doi.org/10.1016/j.matpr.2021.02.246CrossRef

43.

Kumar, A.K., Surya, M.S., Venkataramaiah, P.: Performance evaluation of machine learning based-classifiers in friction stir welding of Aa6061-T6 alloy. Int. J. Interact. Des. Manuf. 17, 469–472 (2023). https://doi.org/10.1007/s12008-022-00904-2CrossRef

44.

Reddy, M.S., Vinothkumar, M.: Friction stir welding parameters optimization of naval grade AA5083 alloy: RSM. Int. J. Interact Des. Manuf. (2023). https://doi.org/10.1007/s12008-023-01410-9CrossRef

45.

Derazkola, H.A., Khodabakhshi, F., Gerlich, A.P.: Fabrication of a nanostructured high strength steel tube by friction-forging tubular additive manufacturing (FFTAM) technology. J. Manuf. Process. 58, 724–735 (2020). https://doi.org/10.1016/j.jmapro.2020.08.070CrossRef

46.

Derazkola, H.A., Khodabakhshi, F.: A novel fed friction-stir (FFS) technology for nanocomposite joining. Sci. Technol. Weld. Join. 25, 89–100 (2020). https://doi.org/10.1080/13621718.2019.1631534CrossRef

47.

Derazkola, H.A., Eyvazian, A., Simchi, A.: Modeling and experimental validation of material flow during FSW of polycarbonate. Mater. Today Commun. (2020). https://doi.org/10.1016/j.mtcomm.2019.100796CrossRef

48.

Eyvazian, A., Hamouda, A.M., Aghajani Derazkola, H., Elyasi, M.: Study on the effects of tool tile angle, offset and plunge depth on friction stir welding of poly(methyl methacrylate) T-joint. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 234, 773–787 (2020). https://doi.org/10.1177/0954405419889180CrossRef

49.

Eyvazian, A., Hamouda, A., Tarlochan, F., Derazkola, H.A., Khodabakhshi, F.: Simulation and experimental study of underwater dissimilar friction-stir welding between aluminium and steel. J. Mater. Res. Technol. 9, 3767–3781 (2020). https://doi.org/10.1016/j.jmrt.2020.02.003CrossRef

50.

Khodabakhshi, F., Derazkola, H.A., Gerlich, A.P.: Monte Carlo simulation of grain refinement during friction stir processing. J. Mater. Sci. 55, 13438–13456 (2020). https://doi.org/10.1007/s10853-020-04963-2CrossRef

51.

Talebizadehsardari, P., Musharavati, F., Khan, A., Sebaey, T.A., Eyvaziana, A., Derazkola, H.A.: Underwater friction stir welding of Al-Mg alloy: Thermo-mechanical modeling and validation. Mater. Today Commun. 26, 101965 (2021). https://doi.org/10.1016/j.mtcomm.2020.101965CrossRef

52.

Dakarapu, S.R., Karri, S.R., Shaik, A.K., Maddili, P.C., Chinta, N.D.: Optimization of process parameters for improvement of joint strength of dissimilar aluminum alloys by friction stir welding with an activated flux of titanium diboride. Int. J. Interact. Des. Manuf. (2024). https://doi.org/10.1007/s12008-024-01787-1CrossRef

53.

Aghajani Derazkola, H., Simchi, A.: Processing and characterizations of polycarbonate/alumina nanocomposites by additive powder fed friction stir processing. Thin-Walled Struct. 157, 107086 (2020). https://doi.org/10.1016/j.tws.2020.107086CrossRef

54.

Derazkola, H.A., Khodabakhshi, F., Gerlich, A.P.: Friction-forging tubular additive manufacturing (FFTAM): A new route of solid-state layer-upon-layer metal deposition. J Mater Res Technol 9, 15273–15285 (2020). https://doi.org/10.1016/j.jmrt.2020.10.105CrossRef

55.

Das, H., Reza-E-Rabby, M., Whalen, S.A., Upadhyay, P., Grant, G.J.: Impact of backing plate and thermal boundary conditions for high-speed friction stir welding of 25 mm thick aluminum alloy 7175–T79. Int. J. Precis. Eng. Manuf. Technol. (2024). https://doi.org/10.1007/s40684-024-00607-xCrossRef

56.

Xu, X., Zhang, C., Derazkola, H.A., Demiral, M., Zain, A.M., Khan, A.: UFSW tool pin profile effects on properties of aluminium-steel joint. Vacuum 192, 110460 (2021). https://doi.org/10.1016/j.vacuum.2021.110460CrossRef

57.

Memon, S., Fydrych, D., Fernandez, A.C., Derazkola, H.A., Derazkola, H.A.: Effects of fsw tool plunge depth on properties of an al-mg-si alloy t-joint: Thermomechanical modeling and experimental evaluation. Materials (2021). https://doi.org/10.3390/ma14164754CrossRef

58.

Aghajani Derazkola, H., Garcia, E., Elyasi, M.: Underwater friction stir welding of PC: experimental study and thermo-mechanical modelling. J. Manuf. Process. 65, 161–173 (2021). https://doi.org/10.1016/j.jmapro.2021.03.034CrossRef

Titel: An investigation of the effect of auxiliary pins on mechanical properties of friction stir welded AA2024-T351
verfasst von: Amir Ghiasvand
Soran Hassanifard
Mohammad Zehsaz
John William Grimaldo Guerrero
Hesamoddin A. Derazkola
Publikationsdatum: 26.06.2024
Verlag: Springer Paris
Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 9/2024
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI: https://doi.org/10.1007/s12008-024-01962-4

Newly applied practices to alleviate design uncertainty: a case study of a design scheme based on the DEMATEL–ANP–VIKOR theory

Original Article

Integrated fuzzy AHP and fuzzy TOPSIS for multi response optimization in incremental forming process

Original Paper

Optimization of TIG welding process parameters on chrome alloy steel using Box–Behnken method

Original Paper

Stretch flangeability analysis of heat treated dual phase steel alloy sheet

Original Paper

A comparative study of machine learning algorithms in the prediction of bead geometry in wire-arc additive manufacturing

Original Paper

Simplified optimal design of NU202 cylindrical roller bearing and validation through GA

Original Paper

Premium Partner

Bildnachweise

Rittal/© Rittal, NTT Data/© NTT Data, Wildix/© Wildix, Ceyoniq Technology GmbH/© Ceyoniq Technology GmbH, arvato Systems GmbH/© arvato Systems GmbH, Ninox Software GmbH/© Ninox Software GmbH, Everyday Software S.L./© Everyday Software S.L., Redgate/© Redgate, CELONIS Labs GmbH, DC-Datacenter-Group GmbH/© DC-Datacenter-Group GmbH, all for one/© all for one, G Data CyberDefense/© G Data CyberDefense, FAST LTA/© FAST LTA, Vendosoft/© Vendosoft, Kumavision/© Kumavision, Noriis Network AG/© Noriis Network AG, WSW Software GmbH/© WSW Software GmbH, tts GmbH/© tts GmbH

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Newly applied practices to alleviate design uncertainty: a case study of a design scheme based on the DEMATEL–ANP–VIKOR theory

Integrated fuzzy AHP and fuzzy TOPSIS for multi response optimization in incremental forming process

Optimization of TIG welding process parameters on chrome alloy steel using Box–Behnken method

Stretch flangeability analysis of heat treated dual phase steel alloy sheet

A comparative study of machine learning algorithms in the prediction of bead geometry in wire-arc additive manufacturing

Simplified optimal design of NU202 cylindrical roller bearing and validation through GA