Optimization of Plastic Induction Welding Parameters Based on Temperature Field Simulation

GUO Sai; HONG Shaoliang; SHEN Xianfu; SUN Zhiqiang; FAN Yongshun; NING Jianyong

doi:10.7512/j.issn.1001-2303.2024.06.06

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Optimization of Plastic Induction Welding Parameters Based on Temperature Field Simulation
Vol. 54, Issue 6, Pages: 30-38(2024)
Published： 25 June 2024 ，
DOI： 10.7512/j.issn.1001-2303.2024.06.06
稿件说明：

移动端阅览

郭塞，洪少良，沈先福，等.基于温度场仿真的塑料感应焊接工艺参数优化［J］.电焊机，2024，54（6）：30-38.

GUO Sai, HONG Shaoliang, SHEN Xianfu, et al.Optimization of Plastic Induction Welding Parameters Based on Temperature Field Simulation[J].Electric Welding Machine, 2024, 54(6): 30-38.
郭塞，洪少良，沈先福，等.基于温度场仿真的塑料感应焊接工艺参数优化［J］.电焊机，2024，54（6）：30-38. DOI： 10.7512/j.issn.1001-2303.2024.06.06.

GUO Sai, HONG Shaoliang, SHEN Xianfu, et al.Optimization of Plastic Induction Welding Parameters Based on Temperature Field Simulation[J].Electric Welding Machine, 2024, 54(6): 30-38. DOI： 10.7512/j.issn.1001-2303.2024.06.06.

摘要

特种热塑性工程塑料的应用对高端制造领域的轻量化、高性能化和环保化起着极其重要的作用。为了研究塑料与金属的感应焊接过程，更好地理解该过程中不同工艺参数对焊接金属表面温度的影响，并探索最适合的塑料感应焊接工艺参数，利用有限元仿真软件ANSYS Maxwell进行电磁场模拟，采用中心复合设计方法完成塑料感应焊接工艺参数方案设计，再通过该有限元仿真软件求解出相应的金属表面温度。基于多元非线性理论，建立了电流强度、电流频率、焊接间隙与金属表面平均温度之间的多元非线性回归模型。采用逐步回归的迭代策略，分析了各工艺参数以及各工艺参数交互作用对金属表面平均温度的影响程度。结果表明：二次拟合模型具有最佳的拟合度，决定系数R

=0.956；电流强度是对金属表面平均温度影响最大的主效应，电流强度与焊接间隙的交互作用是影响金属表面平均温度的主要交互效应；基于

该二次拟合模型，在该有限元仿真软件上进行了工艺参数优化并预测了多组最佳工艺参数组合，其仿真试验结果与回归分析结果误差在7%以内，说明该二次拟合模型预测结果准确可靠。相关理论和方法可为塑料在汽车、船舶、航空、航天等高端制造领域的应用提供参考。

Abstract

The application of special thermoplastic engineering plastics promotes high-end manufacturing advancing towards light weight

high-performance

and environmental protection. To study the induction welding process between plastics and metals

better understand the influence of different parameters on the surface temperature of welded metals

and explore the most suitable parameters for plastic induction welding

the finite element analysis software ANSYS Maxwell was adopted for electromagnetic field simulation

the central composite design method was employed to design the parameters for plastic induction welding

then the temperature of the corresponding metal surface was solved through the finite element analysis software. Based on the multivariate nonlinear theory

an iterative strategy of stepwise regression was adopted in the multivariate nonlinear regression model to analyze the impact of current intensity

current frequency

welding gap and their interactions on the average temperature of the metal surface. The results indicated that the quadratic model had the best fit with a determination coefficient of R

=0.956. The current intensity was the principal effect that had the greatest impact on the average temperature of the metal surface. The interaction between the current intensity and welding gap was the main interactive effect that affected the average temperature of the metal surface. Based on the quadratic model

multiple optimal parameter combinations were predicted and then verified through the finite element analysis software. The deviation between the simulation experiment results and regression analysis results was within 7%

indicating a high accuracy and reliability of the quadratic model. The theories and methods related to this study provided a solid reference for the application of plastics

in manufacturing fields such as automobiles

ships

aviation

and aerospace.

关键词

塑料感应焊接温度场仿真中心复合设计工艺参数优化响应面法

Keywords

plastic induction weldingtemperature field simulationcentral composite designparameter optimizationresponse surface method

references

YEH R Y，HEU R Q. Application of porous oxide layer in plastic/metal direct adhesion by injection molding［J］. Journal of Adhesion Science & Technology，2015，29（150）：1617-1627.

李勇俊，雷飞，刘启明，等. 考虑考虑结构、材料和工艺要求的复合材料Ｂ柱优化［J］. 汽车工程， 2017， 39（8）：968-976.

LI Y J，LEI F，LIU Q M，et al. Optimization of composite B-pillar with considerations of structures， materials and processes requirements［J］. Automotive Engineering，2017，39（8）：968-976.

YAN Y，MAO Y，LI B，et al. Machinability of the thermoplastic polymers：peek，PI and PMMA［J］. Polymers，2020，13（1）：69.

ZHANG L，LIN Z，ZHOU Q，et al. PEEK modified PLA shape memory blends：towards enhanced mechanical and deformation properties［J］. Frontiers of Materials Science，2020，14（2）：177-187.

陈涛，曾俊伟，段利斌，等. 单搭接结构胶接头连接效率的影响因素分析［J］. 汽车工程，2016，38（8）：1030-1036.

CHEN T，ZENG J W，DUAN L B，et al. A study on the factors affecting the connection efficiency of single lap structural adhesion joint［J］. Automotive Engineering，2016，38（8）：1030-1036.

李永兵，马运五，楼铭，等. 轻量化多材料汽车车身连接技术进展［J］. 机械工程学报，2016，54（24）：1-23.

LI Y B，MA Y W，LOU M，et al. Advances in welding and joining processes of multi-material lightweight car body［J］. Journal of Mechanical Engineering，2016，54（24）：1-23.

郁志勇，王希靖，朱福良. ABS塑料加压感应焊接工艺［J］. 电焊机，2016，46（10）：73-76.

YU Z Y，WANG X J，ZHU F L. ABS plastic pressurized induction welding process［J］. Electric Welding Machine，2016，46（10）：73-76.

GOUIN O，DUBE M，FERNANDEZV V I. Modeling and experimental investigation of induction welding of thermoplastic composites and comparison with other welding processes［J］. Journal of Composite Materials，2016，50（21）：2895-2910.

FARAHANIR D，JANIER M，DUBE M. Conductive films of silver nanoparticles as novel susceptors for induction welding of thermoplastic composites［J］. Nanotechnology，2018，29（12）：125701.

WANG F，MA W，ZHAN X，et al. Comparative study on the morphology and mechanical strength of induction welding joint of polyetheretherketone under different currents［J］. Polymer Engineering & Science，2020，60（11）：2908-2917.

陈魁. 试验设计与分析［M］. 北京：清华大学出版社， 2006.

马润波，董丽虹，王海斗，等. 基于中心复合设计的热喷涂层接触疲劳寿命预测研究［J］. 兵工学报，2017，38（3）：561-567.

MA R B，DONG L H，WANG H D，et al. Research on contact fatigue life prediction of thermally sprayed coating based on central composite design［J］. Acta Armamentarii，2017，38（3）：561-567.

IMANIAN M E，BIGLARI F R. Modeling and prediction of surface roughness and dimensional accuracy in SLS 3D printing of PVA/CB composite using the central composite design［J］.Journal of Manufacturing Processes，2022，75：154-169.

徐勇，尹阔，夏亮亮，等. 面向航空铝合金薄壁深腔构件的冲击液压成形工艺优化［J］. 航空学报，2021，42（10）：524831.

XU Y，YIN K，XIA L L，et al. Optimization of impact hydroforming process for aeronautical components of aluminium alloy sheets with thin wall and deep cavity［J］. Acta Aeronautica et Astronautica Sinica，2021，42（10）：524831.

SHARIFI H S，ZABIHZADEH M，GHORBANI M. The application of response surface methodology on the synthesis of conductive polyaniline/cellulosic fiber nanocomposites［J］.Carbohydrate Polymers，2018，194：384-394.

DE OLIVEIRA L G，DE PAIVA A P，DA SILVA CAMPOS P H，et al. Prediction capability of Pareto optimal solutions： a multi-criteria optimization strategy based on model capability ratios［J］. Precision Engineering，2019，59：185-210.

DOUGLAS C M. Design and analysis of experiments［M］. John Wiley & Sons Ltd， 2001.

SOOD A K，OHDAR R K，MAHAPATRA S S. Experimental investigation and empirical modelling of FDM process for compressive strength improvement［J］.Journal of Advanced Research，2012，3（1）：81-90.

SVETLIZKY D，ZHENG B L，STEINBERG D M. The influence of laser directed energy deposition （DED） processing parameters for Al5083 studied by central composite design［J］. Journal of Materials Research and Technology，2022，17：3157-3171.

HRON R，KADLEC M，RUZEK R. Effect of the test procedure and thermoplastic composite resin type on the curved beam strength［J］. Materials （Basel， Switzerland），2021，14（2）：352.

AHMED S，BHOWMIK S. Interpenetrating polymer network adhesive bonding of PEEK to titanium for aerospace application［J］. Journal of Polymer Engineering，2019，39（1）：1-9.

张婷. 高性能热塑性复合材料在大型客机结构件上的应用［J］. 航空制造技术，2013，435（15）：32-35.

ZHANG T. Applications of high performance thermoplastic composites for commercial airplane structural component［J］. Aeronautical Manufacturing Technology，2013，435（15）：32-35.

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