一种利用自适应发射率模型补偿搅拌摩擦焊温度场的方法

doi:10.3969/j.issn.1000-1158.2024.07.10

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摘要针对目前搅拌摩擦焊温度场研究大多忽略热辐射作用或者采用固定发射率模型导致误差较大的问题,提出一种考虑粗糙表面的铝合金氧化膜生长过程的自适应发射率模型,对焊接温度场进行补偿研究。首先,考虑到搅拌摩擦焊过程中铝合金表面形貌的动态变化,采用二次曲面响应法确定焊接表面粗糙度及其与平均线单位长度平均值的交点数;随后,基于提出的自适应发射率,建立6061铝合金搅拌摩擦焊过程的完全耦合有限元模型进行数值模拟,并对模拟结果进行分析。结果表明:不同焊接条件下,基于自适应发射率模型所得结果与实验结果之间的最大绝对误差仅为11 K,表明采用自适应发射率的数值模型能够较好地再现焊接过程中的温度场,可为提高搅拌摩擦焊焊接质量提供支持。

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关键词 ：温度计量, 焊接温场;动态预测;温场补偿;自适应发射率;搅拌摩擦焊, 铝合金氧化膜

Abstract：Aiming at the problem that most of the current research on the temperature field of friction stir welding ignores the effect of thermal radiation or adopts the fixed emissivity model, which leads to large errors, an adaptive emissivity model considering the growth process of aluminum alloy oxide film on rough surface is proposed to compensate the welding temperature field. Firstly, considering the dynamic change of the surface morphology of aluminum alloy during friction stir welding, the quadratic surface response method was used to determine the welding surface roughness and the number of intersections with the average unit length of the average line. Subsequently, a fully coupled finite element model of 6061 aluminum alloy friction stir welding process was established based on the proposed adaptive emissivity, and the simulation results were analyzed. The results show that the maximum absolute error between the results obtained under different welding conditions and the experimental results is only 11K, which indicates that the numerical model with adaptive emissivity can well reproduce the temperature field in the welding process.

Key words： temperature measurement temperature field of welding dynamic prediction;compensate temperature field adaptive emissivity friction stir welding aluminum alloy oxide film

收稿日期: 2023-03-29 发布日期: 2024-07-04

PACS:

TB942

基金资助:河北省自然科学基金(E2022415005, E2021415003);中央引导地方科技发展资金项目(216Z1801G, 226Z1806G);河北省‘三三三人才工程’资助项目(A202101025)

作者简介: 张玉存(1969-),河北秦皇岛人,燕山大学电气工程学院教授,博士生导师,主要从事航空航天领域的智能制造与数字化测量研究。Email:zhangyc919@126.com

引用本文:

张玉存,徐子奇,李群. 一种利用自适应发射率模型补偿搅拌摩擦焊温度场的方法[J]. 计量学报, 2024, 45(7): 1007-1014.
ZHANG Yucun,XU Ziqi,LI Qun. A Method for Compensating the Temperature Field of Friction Stir Welding by Using Adaptive Emissivity. Acta Metrologica Sinica, 2024, 45(7): 1007-1014.

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http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2024.07.10 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2024/V45/I7/1007

［3］	张玉存, 崔妍, 付献斌, 等. 搅拌摩擦焊核心区温度在线检测方法［J］. 中国机械工程, 2019, 30(14): 1653-1657.
［4］	SEIDEL T U. The Development of a Friction Stir Welding Process Model Using Computational Fluid Dynamics ［D］. South Carolina : University of South Carolina, 2002.
［1］	NANDAN R, DEBROY T, BHADESHIA H K D H. Recent advances in friction-stir welding-process, weldment structure and properties ［J］. Progress in Materials Science, 2008, 53: 980-1023.
［6］	AZIZ S B, DEWAN M W, HUGGETT D J, et al. A Fully Coupled Thermomechanical Model of Friction Stir Welding (FSW) and Numerical Studies on Process Parameters of Lightweight Aluminum Alloy Joints ［J］. Journal of Metals, 2018, 31: 1-18.
［8］	LIU Q, LI W, ZHU L, et al. Temperature-dependent friction coefficient and its effect on modeling friction stir welding for aluminum alloys ［J］. Journal of Manufacturing Processes, 2022, 84: 1054-1063.
［21］	刘波, 郑伟, 李海洋,等. 等温黑体空腔积分发射率响应面法研究［J］. 计量学报, 2019, 40(4): 625-630.
	ZHANG Y C, CUI Y, FU X B, et al. Online temperature detection method for friction stir welding core area ［J］. China Mechanical Engineering, 2019, 30(14): 1653-1657.
［9］	ROBE H, CLAUDIN C, BERGHEAU J M, et al. R-ALE simulation of heat transfer during friction stir welding of an AA2XXX/AA7XXX joint on a large process window ［J］. International Journal of Mechanical Sciences, 2019, 155: 31-40.
［10］	ABBASI M, BAGHERI B, SHARIFI F. Simulation and experimental study of dynamic recrystallization process during friction stir vibration welding of magnesium alloys ［J］. Transactions of Nonferrous Metals Society of China, 2021, 31: 2626-2650.
［12］	YAN F, ZHANG Y C, FU X B, et al. A new calculating method of frictional heat and its application during Friction Stir Welding ［J］. Applied Thermal Engineering, 2019, 153: 250-263.
［13］	SU H, WU C S, PITTNER A, et al. Thermal energy generation and distribution in friction stir welding of aluminum alloys ［J］. Energy, 2014, 77: 720-731.
［16］	WENG K H, WEN C D. Effect of oxidation on aluminum alloys temperature prediction using multispectral radiation thermometry ［J］. International Journal of Heat & Mass Transfer, 2011, 54 (23-24): 4834-4843.
	SHEN J L, ZHANG Y C. The study on the measurement accuracy of non-steady state temperature field under different emissivity using infrared thermal image ［J］. Acta Metrologica Sinica, 2019, 40(5): 810-815.
［2］	HE X, GU F, BALL A. A review of numerical analysis of friction stir welding ［J］. Progress in Materials Science, 2014, 65: 1-66.
［11］	ZHAI M, WU C S, SU H. Influence of tool tilt angle on heat transfer and material flow in friction stir welding ［J］. Journal of Manufacturing Processes, 2020, 59: 98-112.
［18］	IUCHI T, FURUKAWA T, WADA S. Emissivity modeling of metals during the growth of oxide film and comparison of the model with experimental results ［J］. Applied Optics, 2003, 42: 2317-2326.
［19］	ZUO Y. Effect of process parameters on surface topography of friction stir welding ［J］. The International Journal of Advanced Manufacturing Technology, 2018, 98: 1807-1816.
［20］	BOULAHEM K, SALEM S B, BESSROUR J. Surface Roughness Model and Parametric Welding Optimization in Friction Stir Welded AA2017 Using Taguchi Method and Response Surface Methodology ［M］. Berlin:Springer International Publishing, 2015, 83-93.
	LIU B, ZHENG W, LI H Y, et al. Study on Isothermal Blackbody Cavity Integral Emissivity Response Surface Method ［J］. Acta Metrologica Sinica, 2019, 40(4): 625-630.
［24］	HOSSEINI M M, BASIRAT TABRIZI H, JALILI N. Thermal optimization of friction stir welding with simultaneous cooling using inverse approach ［J］. Applied Thermal Engineering, 2016, 108: 751-763.
	MI S T, ZHANG Y C,FU X B,et al. An Infrared Temperature Measurement Compensation Method Based on Emissivity Correction Model［J］. Acta Metrologica Sinica, 2024, 45(2): 164-169.
［5］	JIA H, WU K, SUN Y. Numerical and experimental study on the thermal process, material flow and welding defects during high-speed friction stir welding ［J］. Materials Today Communications, 2022, 31: 103526.
［7］	ANDRADE D G, LEITO C, DIALAMI N, et al. Modelling torque and temperature in friction stir welding of aluminium alloys ［J］. International Journal of Mechanical Sciences, 2020, 182(15): 105725.
［15］	WEN C D, MUDAWAR I. Modeling the effects of surface roughness on the emissivity of aluminum alloys ［J］. International Journal of Heat & Mass Transfer, 2006, 49: 4279-4289.
［17］	沈久利, 张玉存. 不同发射率下红外热图像的非稳态温度场测量研究［J］. 计量学报, 2019, 40(5): 810-815.
［23］	BRANNON R R, GOLDSTEIN R J. Emittance of oxide layers on a metal substrate ［J］. Heat Transfer, 1970, 92: 257-263.
［25］	米松涛,张玉存,付献斌,等. 基于发射率修正模型的红外测温补偿方法［J］.计量学报, 2024, 45(2): 164-169.
［14］	WEN C D, MUDAWAR I. Emissivity characteristics of polished aluminum alloy surfaces and assessment of multispectral radiation thermometry (MRT) emissivity models ［J］. International Journal of Heat & Mass Transfer, 2005, 48: 1316-1329.
［22］	ZHANG K, YU K, LIU Y, et al. Effect of surface oxidation on emissivity properties of pure aluminum in the near infrared region ［J］. Materials Research Express, 2017, 4(8): 086501.