| MECHANICAL ENGINEERING |
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Research progress on the thermomechanical coupling behavior and numerical simulations of rotary friction welding |
| XIE Jiaqi1,2, ZHANG Han1,2,3, ZHU Zhiming1,2 |
1. Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China;
2. Key Laboratory for Advanced Materials Processing Technology of Ministry of Education, Tsinghua University, Beijing 100084, China;
3. The 32555th Unit of the People's Liberation Army of China, Guangzhou 510730, China |
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Abstract [Significance] Rotary friction welding (RFW) is an extensively studied and applied solid-state welding method that can achieve high-quality welding between similar or dissimilar materials. RFW involves complex thermal, mechanical, and metallurgical processes, with heat generation occurring due to intense thermomechanical coupling. The stress and temperature histories at the friction interface considerably affect the microstructure evolution and mechanical properties of welded joints. Consequently, a primary focus of RFW research is deeply exploring the mechanisms and processes of thermomechanical coupling, obtaining the stress and temperature histories during welding to guide process-parameter selection and welded-joint-microstructure regulation. However, because of high-speed rotation and substantial plastic deformation during RFW, the temperature evolution and plastic deformation at the welding interface cannot be directly measured experimentally. Thus, mathematical models must be developed to study RFW. Currently, numerical simulation has become the predominant method for RFW theoretical research. With the development of computational technology, various numerical simulation methods have emerged, further elucidating the evolution laws of various physical fields during RFW and supporting theoretical research on the thermomechanical coupling behavior of RFW. [Progress] This paper reviews the research progress on the thermomechanical coupling behavior and numerical simulation technologies of RFW. It encompasses the theoretical underpinnings of the friction behavior of RFW, the development of heat-generation models, and the discussion of prevalent analytical and numerical methods for calculating temperature and stress fields during RFW. The proposal and research on RFW have a long history, resulting in the establishment of three friction-behavior theories: slide, stick, and slide-tick friction theories. These theories have informed the development of various thermomechanical coupling heat-generation models as well as material models. Analytical methods directly employ the thermomechanical coupling model to compute analytical solutions for the temperature and stress fields. These methods offer high computational efficiency and provide intuitive insights into heat generation and transfer processes, as well as material flow and deformation characteristics during RFW. However, analytical methods have challenges, such as their reliance on one-dimensional assumptions and simplified boundary conditions. Different stages of friction require distinct mathematical physics equations, complicating the achievement of coherent calculations for the entire welding process. Meanwhile, numerical simulation methods are more various, mainly including thermal conduction numerical models and the finite element method (FEM). As a mainstream numerical simulation method, the FEM can simulate material flow models and friction models, extending from two-dimensional to three-dimensional analyses. This allows for the obtainment of detailed information on temperature, stress and strain fields, residual stress distribution after welding, interface contact, and joint formation during RFW. In addition, the FEM can be effectively integrated with other simulation and prediction methods, such as microstructure evolution simulations and neural networks, offering comprehensive guidance for welded-joint-microstructure regulation and process-parameter selection. [Conclusions and Prospects] Presently, the simulation accuracy of RFW highly depends on material parameters and boundary condition settings, and the prediction capability of simulation models remains limited. Therefore, further research on welding mechanisms and the introduction of various computational methods to enhance the efficiency and accuracy of numerical simulation technologies while reducing computational costs represent current challenges and developmental directions for RFW simulations.
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| Keywords
rotary friction welding
thermomechanical coupling
numerical simulation
finite element method
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Issue Date: 22 November 2024
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[1] MAALEKIAN M. Friction welding: Critical assessment of literature[J]. Science and Technology of Welding and Joining, 2007, 12(8): 738-759.
[2] LI P, JIANG Y, WANG S, et al. Effect of post-weld heat treatment on inhomogeneity of mechanical properties and corrosion behavior of rotary friction welded 2024 aluminum alloy joint[J]. Journal of Manufacturing Processes, 2022, 75: 1012-1022.
[3] AHMED S A, HASANABADI M F, KUMAR A V. Joining of ceramic to metal by friction welding process: A review[J]. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2021, 235(7): 1723-1736.
[4] NU H T M, LOC N H, MINH L P. Influence of the rotary friction welding parameters on the microhardness and joint strength of Ti6Al4V alloys[J]. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 2021, 235(5): 795-805.
[5] GHARI H, TAHERIZADEH A, SADEGHIAN B, et al. Metallurgical characteristics of aluminum-steel joints manufactured by rotary friction welding: A review and statistical analysis[J]. Journal of Materials Research and Technology, 2024, 30: 2520-2550.
[6] ARZOUR F Z, AMARA M, SULEIMAN R K, et al. Thermomechanical effect on the properties of stainless steels using rotative friction welding: An experimental study on 304L and 316L grades[J]. The International Journal of Advanced Manufacturing Technology, 2023, 129(9-10): 3849-3861.
[7] BUFFA G, FRATINI L. Strategies for numerical simulation of linear friction welding of metals: A review[J]. Production Engineering, 2017, 11(3): 221-235.
[8] 傅莉, 杜随更. 摩擦焊接过程数值模拟技术研究进展[J]. 焊接学报, 2001, 22(5): 87-92. FU L, DU S G. Advance of research on the numerical simulation of friction welding process[J]. Transactions of the China Welding Institution, 2001, 22(5): 87-92. (in Chinese)
[9] KIMURA M, SEO K, KUSAKA M, et al. Observation of joining phenomena in friction stage and improving friction welding method[J]. JSME International Journal Series A: Solid Mechanics and Material Engineering, 2003, 46(3): 384-390.
[10] 金峰, 熊江涛, 石俊秒, 等. GH4169旋转摩擦焊飞边成形机理研究[J]. 材料导报, 2020, 34(10): 10144-10149. JIN F, XIONG J T, SHI J M, et al. Flash formation mechanism during rotary friction welding of GH4169 superalloy[J]. Materials Reports, 2020, 34(10): 10144-10149. (in Chinese)
[11] HEALY J J, MCMULLAN D J, BAHRANI A S. Analysis of frictional phenomena in friction welding of mild steel[J]. Wear, 1976, 37(2): 265-278.
[12] BOWDEN F P, TABOR D. The seizure of metals[J]. Proceedings of the Institution of Mechanical Engineers, 1949, 160(1): 380-383.
[13] HASEGAWA M, IEDA T. Effects of friction welding conditions on initial joining phenomena[J]. Welding International, 1999, 13(9): 701-711.
[14] KIMURA M, CHOJI M, KUSAKA M, et al. Effect of friction welding conditions and aging treatment on mechanical properties of A7075-T6 aluminum alloy friction joints[J]. Science and Technology of Welding and Joining, 2005, 10(4): 406-412.
[15] MOAL A, MASSONI E. Finite element simulation of the inertia welding of two similar parts[J]. Engineering Computations, 1995, 12(6): 497-512.
[16] MAALEKIAN M, KOZESCHNIK E, BRANTNER H P, et al. Comparative analysis of heat generation in friction welding of steel bars[J]. Acta Materialia, 2008, 56(12): 2843-2855.
[17] SINGH S K, CHATTOPADHYAY K, PHANIKUMAR G, et al. Experimental and numerical studies on friction welding of thixocast A356 aluminum alloy[J]. Acta Materialia, 2014, 73: 177-185.
[18] 李京龙, 李洵, 张昊, 等. 摩擦焊产热基础问题探讨[J]. 航空制造技术, 2015, 58(20): 42-46. LI J L, LI X, ZHANG H, et al. Discussion of heat generation in friction welding[J]. Aeronautical Manufacturing Technology, 2015, 58(20): 42-46. (in Chinese)
[19] WANG G L, LI J L, XIONG J T, et al. Study on the friction interface evolution during rotary friction welding of tube[J]. Journal of Adhesion Science and Technology, 2019, 33(10): 1033-1046.
[20] 李鹏. 旋转摩擦焊热源演变及接头成形机制[D]. 西安: 西北工业大学, 2015. LI P. Heat source evolution and joint formation in rotary friction welding process[D]. Xi’an: Northwestern Polytechnical University, 2015. (in Chinese)
[21] RYKALIN N N, PUGIN A I, VASIL’EVA V A. The heating and cooling of rods butt welded by the friction process[J]. Welding Production, 1959, 6: 42-52.
[22] VILL V I. Friction welding of metals[M]. New York: American Welding Society, 1962.
[23] 才荫先, 孙松涛, 朱桂芝, 等. 摩擦焊加热过程中变形层和高温区的扩展过程[J]. 焊接学报, 1984, 5(2): 61-68. CAI Y X, SUN S T, ZHU G Z, et al. The widening process of the deformation layer and the high temperature area in friction welding[J]. Transactions of the China Welding Institution, 1984, 5(2): 61-68. (in Chinese)
[24] CROSSLAND B. Friction welding[J]. Contemporary Physics, 1971, 12(6): 559-574.
[25] BALASUBRAMANIAN V, LI Y L, STOTLER T, et al. A new friction law for the modelling of continuous drive friction welding: Applications to 1045 steel welds[J]. Materials and Manufacturing Processes, 1999, 14(6): 845-860.
[26] ZHANG Q Z, ZHANG L W, LIU W W, et al. 3D rigid viscoplastic FE modelling of continuous drive friction welding process[J]. Science and Technology of Welding and Joining, 2006, 11(6): 737-743.
[27] LI W Y, WANG F F. Modeling of continuous drive friction welding of mild steel[J]. Materials Science and Engineering: A, 2011, 528(18): 5921-5926.
[28] TANG T X, SHI Q Y, LEI B W, et al. Transition of interfacial friction regime and its influence on thermal responses in rotary friction welding of SUS304 stainless steel: A fully coupled transient thermomechanical analysis[J]. Journal of Manufacturing Processes, 2022, 82: 403-414.
[29] DOEGE E, BEHRENS B A. Handbuch umformtechnik: Grundlagen, technologien, maschinen[M]. 2nd ed. Berlin: Springer, 2010.
[30] MENDEZ P F, TELLO K E, LIENERT T J. Scaling of coupled heat transfer and plastic deformation around the pin in friction stir welding[J]. Acta Materialia, 2010, 58(18): 6012-6026.
[31] XIONG J T, LI J L, WEI Y N, et al. An analytical model of steady-state continuous drive friction welding[J]. Acta Materialia, 2013, 61(5): 1662-1675.
[32] LI P, LI J L, DONG H G. Analytical description of heat generation and temperature field during the initial stage of rotary friction welding[J]. Journal of Manufacturing Processes, 2017, 25: 181-184.
[33] FRANCIS A, CRAINE R E. On a model for frictioning stage in friction welding of thin tubes[J]. International Journal of Heat and Mass Transfer, 1985, 28(9): 1747-1755.
[34] BERGSTRÖM J. Linear viscoelasticity[M]//BERGSTRÖM J. Mechanics of solid polymers. Amsterdam: William Andrew Publishing, 2015: 309-351.
[35] 刘欣, 李强锋, 汪志刚, 等. 低合金微碳钢的热变形行为及本构方程[J]. 有色金属科学与工程, 2018, 9(4): 53-59. LIU X, LI Q F, WANG Z G, et al. Hot deformation behavior and constitutive equation of low alloy micro-carbon steel[J]. Nonferrous Metals Science and Engineering, 2018, 9(4): 53-59. (in Chinese)
[36] SELLARS C M, MCTEGART W J. On the mechanism of hot deformation[J]. Acta Metallurgica, 1966, 14(9): 1136-1138.
[37] AKBARI M, ASADI P, SADOWSKI T. A review on friction stir welding/processing: Numerical modeling[J]. Materials, 2023, 16(17): 5890.
[38] WANG G L, LI J L, XIONG J T, et al. A heat flux model for rotary friction welding of 304 stainless steel[J]. Materials Research Express, 2019, 6(2): 026558.
[39] CHENG C J. Transient temperature distribution during friction welding of two similar materials in tubular form[J]. Welding Journal, 1962, 41(12): 542-550.
[40] WANG K K, NAGAPPAN P. Transient temperature distribution in inertia welding of steels[J]. Welding Journal, 1970, 49(9): 419-426.
[41] VILL V I. Energy distribution in the friction welding of steel bars[J]. Welding Production, 1959, 10: 31-41.
[42] BOUARROUDJ E O, CHIKH S, ABDI S, et al. Thermal analysis during a rotational friction welding[J]. Applied Thermal Engineering, 2017, 110: 1543-1553.
[43] SŁUAŻU ALEC A. Thermal effects in friction welding[J]. International Journal of Mechanical Sciences, 1990, 32(6): 467-478.
[44] CHEN W L, YANG Y C, CHU S S. Estimation of heat generation at the interface of cylindrical bars during friction process[J]. Applied Thermal Engineering, 2009, 29(2-3): 351-357.
[45] 陈豪龙, 柳占立. 基于数据驱动模型求解热传导反问题[J]. 计算力学学报, 2021, 38(3): 272-279. CHEN H L, LIU Z L. Solving the inverse heat conduction problem based on data driven model[J]. Chinese Journal of Computational Mechanics, 2021, 38(3): 272-279. (in Chinese)
[46] GONÇALVES C V, CARVALHO S R, GUIMARÃES G. Application of optimization techniques and the enthalpy method to solve a 3D-inverse problem during a TIG welding process[J]. Applied Thermal Engineering, 2010, 30(16): 2396-2402.
[47] 杨晨, GROSS U. 基于热传导逆问题方法预测材料热物性参数[J]. 化工学报, 2005, 56(12): 2415-2420. YANG C, GROSS U. Estimation of thermal properties based on inverse heat conduction method[J]. CIESC Journal, 2005, 56(12): 2415-2420. (in Chinese)
[48] WU X Y. Finite element simulation of linear friction welding[J]. Advanced Materials Research, 2011, 411: 126-129.
[49] TASHKANDI M A. Finite element modeling of continuous drive friction welding of Al6061 alloy[J]. Materials Science—Poland, 2021, 39(1): 1-14.
[50] ASIF M M, SHRIKRISHANA K A, SATHIYA P. Finite element modelling and characterization of friction welding on UNS S31803 duplex stainless steel joints[J]. Engineering Science and Technology, An International Journal, 2015, 18(4): 704-712.
[51] 张全忠, 张立文, 刘伟伟, 等. 连续驱动摩擦焊接过程的三维与二维数值模拟对比分析[J]. 焊接学报, 2006, 27(10): 105-108. ZHANG Q Z, ZHANG L W, LIU W W, et al. Comparison of 3D and 2D numerical simulation of continuous-drive friction welding process[J]. Transactions of the China Welding Institution, 2006, 27(10): 105-108. (in Chinese)
[52] LEI B W, SHI Q Y, YANG L K, et al. Evolution of interfacial contact during low pressure rotary friction welding: A finite element analysis[J]. Journal of Manufacturing Processes, 2020, 56: 643-655.
[53] KESSLER M, HARTL R, FUCHS A, et al. Simulation of rotary friction welding using a viscoelastic Maxwell model[J]. Science and Technology of Welding and Joining, 2021, 26(1): 68-74.
[54] ZHANG H, XIE J Q, LI C A, et al. Modelling and numerical analysis for rotatory friction welding of U75V steel rails[J/OL]. Proceedings of the Institution of Mechanical Engineers, Part L: Journal of Materials: Design and Applications, 2024. DOI: 10.1177/14644207241242019.
[55] MATTIE A A, EZDEEN S Y, KHIDHIR G I. Optimization of parameters in rotary friction welding process of dissimilar austenitic and ferritic stainless steel using finite element analysis[J/OL]. Advances in Mechanical Engineering, 2023, 15(7). DOI: 10.1177/16878132231186015.
[56] 张昌青, 师文辰, 罗德春, 等. 锥形端面对铝/钢连续驱动摩擦焊温度场的数值模拟研究[J]. 材料导报, 2022, 36(15): 21040043. ZHANG C Q, SHI W C, LUO D C, et al. Numerical simulation study on temperature field of continuous drive friction welding of aluminum/steel with conical terminal[J]. Materials Reports, 2022, 36(15): 21040043. (in Chinese)
[57] WEN Q, LI W Y, GAO Y J, et al. Numerical simulation and experimental investigation of band patterns in bobbin tool friction stir welding of aluminum alloy[J]. The International Journal of Advanced Manufacturing Technology, 2019, 100(9): 2679-2687.
[58] HANNACHI N, KHALFALLAH A, LEITÃO C, et al. Comparison between ALE and CEL finite element formulations to simulate friction stir spot welding[M]//BOURAOUI T, BENAMEUR T, MEZLINI S, et al. Advances in mechanical engineering and mechanics II. Cham: Springer, 2021: 277-284.
[59] VAIRIS A, FROST M. Modelling the linear friction welding of titanium blocks[J]. Materials Science and Engineering: A, 2000, 292(1): 8-17.
[60] ŁUKASZEWICZ A. Nonlinear numerical model of friction heating during rotary friction welding[J]. Journal of Friction and Wear, 2018, 39(6): 476-482.
[61] HEPPNER E, SASAKI T, TROMMER F, et al. Model development for numerical analysis of the bonding strength for friction welded lightweight structures[J]. Finite Elements in Analysis and Design, 2024, 229: 104063.
[62] NIE L F, ZHANG L W, ZHU Z, et al. Microstructure evolution modeling of FGH96 superalloy during inertia friction welding process[J]. Finite Elements in Analysis and Design, 2014, 80: 63-68.
[63] 李伟, 楚志兵, 王环珠, 等. 三维微观组织模拟及其表征分析技术的研究进展[J]. 功能材料, 2020, 51(1): 1035-1042. LI W, CHU Z B, WANG H Z, et al. Research progress of three dimensional microstructure simulation and characterization analysis technology[J]. Journal of Functional Materials, 2020, 51(1): 1035-1042. (in Chinese)
[64] REYES L A, GARZA C, DELGADO M, et al. Cellular automata modeling for rotary friction welding of Inconel 718[J]. Materials and Manufacturing Processes, 2022, 37(8): 877-885.
[65] MAALEKIAN M, CERJAK H. Thermal-phase transformation modelling and neural network analysis of friction welding of non-circular eutectoid steel components[J]. Weld World, 2009, 53(3): R44-R51.
[66] LIU W, WANG F F, YANG X W, et al. Upset prediction in friction welding using radial basis function neural network[J]. Advances in Materials Science and Engineering, 2013, 2013: 196382.
[67] PALANIVEL R, DINAHARAN I, LAUBSCHER R F. Application of an artificial neural network model to predict the ultimate tensile strength of friction-welded titanium tubes[J]. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2019, 41(2): 111.
[68] KUNHIRUNBAWON S, SUWICHIEN N, JANTARASRICHA T. Friction welding parameter for AA6063 using ANFIS prediction[J]. The International Journal of Advanced Manufacturing Technology, 2023, 128(5): 2589-2597.
[69] CHIARANAI S, PITAKASO R, SETHANAN K, et al. Ensemble deep learning ultimate tensile strength classification model for weld seam of asymmetric friction stir welding[J]. Processes, 2023, 11(2): 434.
[70] LU X H, MA C, YANG B H, et al. Prediction of the tensile strength of friction stir welded joints based on one-dimensional convolutional neural network[J]. Journal of Intelligent & Fuzzy Systems, 2023, 45(2): 2279-2288. |
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2024,
Vol. 64
