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2025, 08, v.32 1-22
空间导管成形尺寸精度分析和控制方法研究进展与展望
基金项目(Foundation): 国家自然科学基金面上项目(52275502)
邮箱(Email): hdyu@sjtu.edu.cn;
DOI:
摘要:

导管作为火箭、飞机和船舶等装备的关键组成部分,其成形尺寸精度直接关系到装备的整体质量及服役稳定性与可靠性。建立精确的导管成形尺寸预测方法和有效的控制策略,对于提升导管系统的装配性能和装备的服役表现至关重要。首先,从导管的拓扑构型出发,探讨了导管空间构型的参数化表征方法,为尺寸精度分析提供了基础。然后,从几何特征、材料特性以及应用需求等多个维度系统地讨论了金属管材弯曲成形的主要方法,综述了现有的导管几何尺寸精度分析方法,涵盖了单弯管材成形回弹、伸长率、关键点偏移及整体多弯导管构型预测等内容。此外,探讨了无余量和有余量弯曲工艺中导管成形精度的控制与补偿方法。最后,针对航空航天及船海等领域中导管空间结构越来越复杂、装配精度要求不断增加的发展趋势,分析了导管整体成形尺寸精度预测与控制面临的挑战,并展望了未来研究的主要方向。

Abstract:

Pipes are critical components in aerospace, aviation and marine equipments, and its dimensional accuracy of forming directly affects the overall quality, service stability and reliability of the equipment. The establishment of accurate prediction methods and effective control strategies for pipe forming dimension is essential for improving the assembly performance of pipe systems and the service performance of equipment. Firstly, the parametric representation methods of pipe spatial configuration were discussed from the perspective of topological configuration of pipe, providing foundation for dimensional accuracy analysis. Then, metal pipe bending forming techniques were discussed systematically across multiple dimensions, including geometric dimension characteristics, material properties and application requirements. The existing analysis approaches for the geometric dimension accuracy of pipes were discussed, including the springback, elongation, key point deviation of single-bending pipe, and the configuration prediction of whole multi-bending pipe. Furthermore, the control and compensation methods for pipe forming accuracy were discussed for bending with and without allowance. Finally, the challenges in predicting and controlling overall pipe forming dimensional accuracy were analyzed, and future research directions were prospected aiming at the development tendency of increasing complexity of pipe spatial structures and the growing demand for assembly accuracy in aerospace, aviation and marine industries.

参考文献

[1] 张深.小直径厚壁管材变曲率弯曲回弹控制研究[D].西安:西北工业大学,2014.ZHANG Shen.Research on springback control in small diameter thick-walled pipe bending with varying curvature[D].Xi′an:Northwestern Polytechnical University,2014.

[2] WANG X,LIU J,LIU S,et al.An evaluation for tube assembly performance based on virtual fixtures[J].Advances in Mechanical Engineering,2017,9(12):1687814017739792.

[3] WU T,LIU J H,LIU S,et al.A measurement method of free-form tube based on multi-view vision for industrial assembly[J].Assembly Automation,2020,40(4):553-564.

[4] JIA M H,TANG C T,WANG W G.Spatial shape prediction of multi-bends metal tube bending[C]//IEEE International Conference on Computer Science and Automation Engineering.Shanghai,2011.DOI:10.1109/CSAE.2011.5952615.

[5] ZHAO H,XIA R,CHEN Y,et al.A fast conversion method of tube coordinates[J].Highlights in Science,Engineering and Technology,2022,15:16-21.

[6] CHEN K,ZHAO Y,LIU Y,et al.Optimization method for spatial route adjustment of multi-bends pipes considering assembly demands[J].Assembly Automation,2022,42(3):319-332.

[7] 李雁鹏,吴建军.非平面弯管成形过程的回弹补偿研究[J].锻压技术,2009,34(1):89-92.LI Yanpeng,WU Jianjun.Springback compensation in the non-planar pipe bending process[J].Forging & Stamping Technology,2009,34(1):89-92.

[8] 张深,吴建军.空间弯管的回弹预测[J].航空学报,2011,32(5):953-960.ZHANG Shen,WU Jianjun.Springback prediction in spatial pipe bending[J].Acta Aeronautica et Astronautica Sinica,2011,32(5):953-960.

[9] ZHANG S Y,FU M Y,WANG Z L,et al.Springback prediction model and its compensation method for the variable curvature metal tube bending forming[J].The International Journal of Advanced Manufacturing Technology,2021,112(11):3151-3165.

[10] 方鼎宇.面向弯曲补偿的空间变曲率金属管件回弹预测模型研究[D].杭州:浙江大学,2020.FANG Dingyu.Study on springback prediction model for spatially varying curvature metal pipe fittings oriented to bending compensation[D].Hangzhou:Zhejiang University,2020.

[11] WANG Z L,LIN Y C,QIU L M,et al.Spatial variable curvature metallic tube bending springback numerical approximation prediction and compensation method considering cross-section distortion defect[J].The International Journal of Advanced Manufacturing Technology,2022,118(5):1811-1827.

[12] WU J J,ZHANG Z K.An improved procedure for manufacture of 3D tubes with springback concerned in flexible bending process[J].Chinese Journal of Aeronautics,2021,34(11):267-276.

[13] WU J J,LIANG B,YANG J Z.Trajectory prediction of three-dimensional forming tube based on Kalman filter[J].The International Journal of Advanced Manufacturing Technology,2022,121(7):5235-5254.

[14] WANG Z L,XIANG Y Z,ZHANG S Y,et al.Physics-informed springback prediction of 3D aircraft tubes with six-axis free-bending manufacturing[J].Aerospace Science and Technology,2024,147:109022.

[15] 温彤.管材成形技术综述[J].机械设计与制造,2006,(11):77-79.WEN Tong.A review of pipe forming technology[J].Journal of Mechanical Design and Manufacturing,2006,(11):77-79.

[16] 王博怀.船用管件数控绕弯回弹及工艺研究[D].绵阳:西南科技大学,2018.WANG Bohuai.Research on CNC bending springback and process for ship pipes[D].Mianyang:Southwest University of Science and Technology,2018.

[17] SUN C,WANG Z L,ZHANG S Y,et al.Physical logic enhanced network for small-sample bi-layer metallic tubes bending springback prediction[J].Artificial Intelligence,2022.DOI:10.48550/arXiv.2209.09870.

[18] 毕勇.不锈钢薄壁管材弯曲行为预测及成形极限测量研究[D].长春:吉林大学,2023.BI Yong.Prediction of bending behavior and measurement of forming limits for thin-walled stainless steel tubes[D].Changchun:Jilin University,2023.

[19] 李文轩.钛合金管材自由弯曲成形工艺参数的优化研究[D].西安:西安工业大学,2024.LI Wenxuan.Optimization study on free bending process parameters for titanium alloy pipes[D].Xi′an:Xi′an University of Technology,2024.

[20] YANG Z,YU Y,WEI Y,et al.Crushing behavior of a thin-walled circular tube with internal gradient grooves fabricated by SLM 3D printing[J].Thin-Walled Structures,2017,111:1-8.

[21] ZHANG H,ZHONG W,HU Q,et al.Research and Implementation of Axial 3D Printing Method for PLA pipes[J].Applied Sciences,2020,10(13):4680.

[22] HOPKINS N,VAN VUUREN R J,BROOKS H.Additive manufacturing via tube extrusion (AMTEx)[J].Additive Manufacturing,2020,36:101606.

[23] JAFARI D,WITS W W,GEURTS B J.Metal 3D-printed wick structures for heat pipe application:Capillary performance analysis[J].Applied Thermal Engineering,2018,143:403-414.

[24] HENG L,HE Y,JUN M.Tube bending forming technologies:Advances and trends[M].NewYork:CRC Press,2018.

[25] AL-QURESHI H A.Elastic-plastic analysis of tube bending[J].International Journal of Machine Tools and Manufacture,1999,39(1):87-104.

[26] E D X,LIU Y.Springback and time-dependent springback of 1Cr18Ni9Ti stainless steel tubes under bending[J].Materials & Design,2010,31(3):1256-1261.

[27] 耿静.基于黏弹塑性模型的弯管回弹规律的研究[D].沈阳:沈阳工业大学,2019.GENG Jing.Study on springback behavior of pipe bending based on viscoelastic-plastic model[D].Shenyang:Shenyang University of Technology,2019.

[28] 贾美慧,唐承统.不锈钢管材弯曲成形回弹预测模型研究[J].北京理工大学学报,2012,32(9):910-914.JIA Meihui,TANG Chengtong.Research on springback prediction model in stainless steel pipe bending[J].Journal of Beijing Institute of Technology,2012,32(9):910-914.

[29] 苟毓俊.管材无芯弯曲理论及成形极限研究[D].太原:太原科技大学,2019.GOU Yujun.Study on the theory and forming limit of pipe bending without core[D].Taiyuan:Taiyuan University of Science and Technology,2019.

[30] MA J,LI H,FU M W.Modelling of springback in tube bending:A generalized analytical approach[J].International Journal of Mechanical Sciences,2021,204:106516.

[31] 刘婧瑶,唐承统,宁汝新.薄壁管纯弯曲塑性成形分析及回弹计算[J].塑性工程学报,2009,16(2):5-9,14.LIU Jingyao,TANG Chengtong,NING Ruxin.Analysis of pure bending plastic forming and springback calculation for thin-walled tubes[J].Journal of Plasticity Engineering,2009,16(2):5-9,14.

[32] ZHAN M,WANG Y,YANG H,et al.An analytic model for tube bending springback considering different parameter variations of Ti-alloy tubes[J].Journal of Materials Processing Technology,2016,236:123-137.

[33] 马俊.高强钛合金管热场辅助弯曲成形回弹建模与控制[D].西安:西北工业大学,2020.MA Jun.Modeling and control of springback in hot-field assisted bending of high-strength titanium alloy pipes[D].Xi′an:Northwestern Polytechnical University,2020.

[34] ZHAN M,XING L,GAO P F,et al.An analytical springback model for bending of welded tube considering the weld characteristics[J].International Journal of Mechanical Sciences,2019,150:594-609.

[35] 鄂大辛,郭学东,宁汝新.管材弯曲中应变中性层位移的分析[J].机械工程学报,2009,45(3):307-310.E Daxin,GUO Xuedong,NING Ruxin.Analysis of the strain neutral layer displacement in pipe bending[J].Journal of Mechanical Engineering,2009,45(3):307-310.

[36] 鄂大辛.金属管材弯曲理论及成形缺陷分析[M].北京:北京理工大学出版社,2016.E Daxin.Bending theory and forming defect analysis of metallic pipes[M].Beijing:Beijing Institute of Technology Press,2016.

[37] ENGEL B,HASSAN H R.Investigation of neutral axis shifting in rotary draw bending processes for tubes[J].Steel Research International,2014,85(7):1209-1214.

[38] 蔡伟.管材大曲率无芯弯曲过程中回弹机制的研究[D].太原:太原科技大学,2019.CAI Wei.Study on springback mechanism in large curvature pipe bending without core[D].Taiyuan:Taiyuan University of Science and Technology,2019.

[39] 万涛,方军,欧阳芳,等.基于弹性模量变化的管材绕弯截面畸变有限元分析[J].锻压技术,2024,49(3):52-59.WAN Tao,FANG Jun,OUYANG Fang,et al.Finite element analysis of cross-section distortion in pipe bending based on elastic modulus variation[J].Forging & Stamping Technology,2024,49(3):52-59.

[40] 方军.21-6-9高强不锈钢管数控绕弯成形规律研究[D].南京:南京航空航天大学,2015.FANG Jun.Research on CNC bending forming rules of 21-6-9 high-strength stainless steel tubes[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2015.

[41] ZHANG H,HU Y.Influence of pressure die′s boosting on forming quality in bending process of thin-walled tube[J].International Journal of Pressure Vessels and Piping,2022,196:104612.

[42] LI H,YANG H,ZHAN M,et al.Role of mandrel in NC precision bending process of thin-walled tube[J].International Journal of Machine Tools and Manufacture,2007,47(7):1164-1175.

[43] LI H,YANG H,SONG F F,et al.Springback characterization and behaviors of high-strength Ti-3Al-2.5V tube in cold rotary draw bending[J].Journal of Materials Processing Technology,2012,212(9):1973-1987.

[44] SONG F F,YANG H,LI H,et al.Springback prediction of thick-walled high-strength titanium tube bending[J].Chinese Journal of Aeronautics,2013,26(5):1336-1345.

[45] RAZALI N A,CHUNG S H,CHUNG W J,et al.Implicit elastoplastic finite element analysis of tube-bending with an emphasis on springback prediction[J].The International Journal of Advanced Manufacturing Technology,2022,120(9):6377-6391.

[46] LIU H,GAO J T,CHEN H J,et al.Method of simulation modeling and computing analysis for tube bending[J].Journal of Physics:Conference Series,2020,1635(1):012100.

[47] E D X,CHEN M F.Numerical solution of thin-walled tube bending springback with exponential hardening law[J].Steel Research International,2010,81(4):286-291.

[48] WANG L,WANG Z L,ZHANG S Y,et al.Springback prediction model of Ti-6Al-4V tube warm bending based on modified JC model considering variable temperature field[J].IOP Conference Series:Materials Science and Engineering,2022,1270(1):012048.

[49] FARHADI A,NAYEBI A.Springback analysis of thick-walled tubes under combined bending-torsion loading with consideration of nonlinear kinematic hardening[J].Production Engineering,2020,14(2):135-145.

[50] LI H,ZHANG L W,CHEN G Y,et al.Time-dependent springback of high strength titanium tubular materials:Experiment and modeling[J].Journal of Materials Processing Technology,2022,299:117354.

[51] FANG J,LU S Q,WANG K L,et al.Springback behaviors of high strength stainless steel tube after numerical control rotary draw bending[J].IOP Conference Series:Materials Science and Engineering,2018,423(1):012184.

[52] FANG J,OUYANG F,LU S Q,et al.Wall thinning behaviors of high strength 0Cr21Ni6Mn9N tube in numerical control bending considering variation of elastic modulus[J].Advances in Mechanical Engineering,2021,13(5):16878140211021241.

[53] LOU H Z,STELSON K A.Three-dimensional tube geometry control for rotary draw tube bending:Part 1—Bend angle and overall tube geometry control[J].Journal of Manufacturing Science & Engineering,2001,123(2):258-265.

[54] LOU H Z,STELSON K A.Three-dimensional tube geometry control for rotary draw tube bending:Part 2—Statistical tube tolerance analysis and adaptive bend correction[J].Journal of Manufacturing Science and Engineering,2001,123(2):266.DOI:10.1115/1.1351812.

[55] GHEORGHE A,LUCIAN L,MIOARA G F,et al.Investigations on springback of bent tubes using design of experiment and artificial neural networks[J].IFAC Proceedings Volumes,2007,40(18):331-336.

[56] SAFDARIAN R,KORD A.Experimental investigation of effective parameters in the tube rotary draw bending process[J].Materials Research Express,2019,6(6):066531.

[57] MAHDI M S,MOHAMMED A I.The effect of bending angle and radius on springback in tube bending according to geometric ratio[J].AIP Conference Proceedings,2024,3002(1):11.DOI:10.063/5.0205815.

[58] HUJARE P,CHAVAN U,HUJARE D,et al.Analysis of spring back error in pipe bending[C]//International Conference on Futuristic Advancements in Materials,Manufacturing and Thermal Sciences.Singapore,2024:369-382.

[59] E D X,HE H,LIU X,et al.Springback deformation in tube bending[J].International Journal of Minerals,Metallurgy and Materials,2009,16(2):177-183.

[60] MA J,YANG H,LI H,et al.Springback prediction of titanium tube bending considering Bauschinger effect and Young′s modulus variation[J].Journal of Physics:Conference Series,2016,734(3):032113.

[61] 王睿乾,潘林,李其橙,等.基于机器学习的航空发动机导管CNC弯曲回弹预测及补偿[J].塑性工程学报,2021,28(7):104-109.WANG Ruiqian,PAN Lin,LI Qicheng,et al.CNC bending springback prediction and compensation for aerospace engine conduits based on machine learning[J].Journal of Plasticity Engineering,2021,28(7):104-109.

[62] G?Rü? V,BAH?I M M,?EVIK M.Machine learning for the prediction of problems in steel tube bending process[J].Engineering Applications of Artificial Intelligence,2024,133:108584.

[63] 陈光耀,李恒,贺子芮,等.基于机器学习的管材弯曲回弹有效预测与补偿[J].中国机械工程,2020,31(22):2745-2752.CHEN Guangyao,LI Heng,HE Zirui,et al.Effective prediction and compensation of pipe springback based on machine learning[J].China Mechanical Engineering,2020,31(22):2745-2752.

[64] 王睿乾,潘林,童志远,等.航空发动机导管CNC弯曲回弹智能预测及补偿系统开发与应用[J].航空制造技术,2024,67(Z1):106-111.WANG Ruiqian,PAN Lin,TONG Zhiyuan,et al.Development and application of intelligent prediction and compensation system for springback of aero-engine pipes during CNC bending[J].Aeronautical Manufacturing Technology,2024,67(Z1):106-111.

[65] WANG C,WANG Z,ZHANG S,et al.Reinforced quantum-behaved particle swarm-optimized neural network for cross-sectional distortion prediction of novel variable-diameter-die-formed metal bent tubes[J].Journal of Computational Design and Engineering,2023,10(3):1060-1079.

[66] LI Z Y,WANG Z L,ZHANG S Y,et al.Springback active prediction-compensation framework:Difficult-to-manufacturing metal tubes intelligent bending based on alert collaborative sand cat swarm algorithm[J].The International Journal of Advanced Manufacturing Technology,2025,137(3):1683-1704.

[67] SUN C,WANG Z L,ZHANG S Y,et al.Digital-twin-enhanced metal tube bending forming real-time prediction method based on multi-source-input MTL[J].Structural and Multidisciplinary Optimization,2022,65(10):296.

[68] ZHOU H F,ZHANG S Y,QIU L M,et al.Springback angle prediction of circular metal tube considering the interference of cross-sectional distortion in mandrelless rotary draw bending[J].Science Progress,2021,104(1).DOI:10.1177/0036850420984303.

[69] SUN C,WANG Z L,ZHANG S Y,et al.Toward axial accuracy prediction and optimization of metal tube bending forming:A novel GRU-integrated Pb-NSGA-III optimization framework[J].Engineering Applications of Artificial Intelligence,2022,114:105193.

[70] XIANG Y,WANG Z,TAN L J,et al.Cross-sectional performance prediction of metal tubes bending with tangential variable boosting based on parameters-weight-adaptive CNN[J].Expert Systems with Applications,2024,237.DOI:10.1016/j.eswa.2023.121465.

[71] WANG Z L,WANG C C,ZHANG S Y,et al.Towards high-accuracy axial springback:Mesh-based simulation of metal tube bending via geometry/process-integrated graph neural networks[J].Expert Systems with Applications,2024,255:124577.

[72] LI H,YANG H,ZHAN M,et al.Deformation behaviors of thin-walled tube in rotary draw bending under push assistant loading conditions[J].Journal of Materials Processing Technology,2010,210(1):143-158.

[73] 何亚伟.复杂管件弯曲成型工艺参数计算及程序开发[D].大连:大连理工大学,2016.HE Yawei.Calculation of process parameters and program development for complex pipe bending[D].Dalian:Dalian University of Technology,2016.

[74] 钱峰,潘笑誉,何亚伟,等.船用弯管加工中回弹延伸的建模与实验分析[J].机械工程与自动化,2017,(5):7-9.QIAN Feng,PAN Xiaoyu,HE Yawei,et al.Modeling and experimental analysis of springback and elongation in ship bending[J].Mechanical Engineering and Automation,2017,(5):7-9.

[75] 邹双桂.无余量弯管工艺研究[D].上海:上海交通大学,2008.ZOU Shuanggui.Study on the process of pipe bending without allowance[D].Shanghai:Shanghai Jiao Tong University,2008.

[76] ZHANG H,HU Y.Research on the axial elongation and springback law of thick-walled tubes in cold bending forming[J].The International Journal of Advanced Manufacturing Technology,2022,120(1-2):669-689.

[77] 王永发,王惠苗,王露予,等.复杂结构导管先焊后弯工艺研究[J].航天制造技术,2019,(1):35-37,70.WANG Yongfa,WANG Huimiao,WANG Luyu,et al.Study on the welding followed by bending process of complex structure conduits[J].Aerospace Manufacturing Technology,2019,(1):35-37,70.

[78] 胡勇,王呈方.弯管工艺中回弹、伸长和成形半径的确定方法[J].锻压机械,1997,(1):35-37.

[79] 赵子义,王砚良,陈坛立,等.X5CrNi18-10管材弯曲回弹补偿与管材伸长量控制[J].价值工程,2020,39(3):151-152.ZHAO Ziyi,WANG Yanliang,CHEN Tanli,et al.Springback compensation and elongation control for X5CrNi18-10 pipe[J].Value Engineering,2020,39(3):151-152.

[80] GU R J,YANG H,ZHAN M,et al.Thin-walled aluminum alloy tube NC precision bending based on finite element simulation[J].Transactions of Nonferrous Metals Society of China,2006,16(S3):1251-1255.

[81] DAN W J,ZHANG W G.Springback angle and plastic elongation prediction of thin-walled tube bending by FEM[J].Applied Mechanics and Materials,2012,152:456-461.

[82] DONG L L,ZHAO W,HUANG Y,et al.The tensile armor behavior of unbonded flexible pipes close to end fitting under uniform bending[J].Marine Structures,2025,102:103761.

[83] LUKASSEN T V,GUNNARSSON E,KRENK S,et al.Tension-bending analysis of flexible pipe by a repeated unit cell finite element model[J].Marine Structures,2019,64:401-420.

[84] XU Y X,FANG P,BAI Y.Mechanical behavior of metallic strip flexible pipes during reeling operation[J].Marine Structures,2021,77:102942.

[85] 房涛.船舶管路先焊后弯工艺及应用[J].造船技术,2013,(1):36-41.FANG Tao.Process and application of pipe welding followed by bending in shipbuilding[J].Shipbuilding Technology,2013,(1):36-41.

[86] 谢岳城.空间大型弯曲圆钢管加工误差理论研究[D].杭州:浙江大学,2016.XIE Yuecheng.Theoretical study of processing errors in large curved circular steel pipes[D].Hangzhou:Zhejiang University,2016.

[87] 余觉,赵勇,牛书峰,等.直接线性化方法及其在液体火箭发动机管路装配中的应用[J].上海交通大学学报,2016,50(6):957-962.YU Jue,ZHAO Yong,NIU Shufeng,et al.Direct linearization method and its application in the assembly of pipelines of rocket engine[J].Journal of Shanghai Jiaotong University,2016,50(6):957-962.

[88] YU J,ZHAO Y,WANG H,et al.Tolerance analysis of mechanical assemblies based on the product of exponentials formula[J].Proceedings of the Institution of Mechanical Engineers,Part B:Journal of Engineering Manufacture,2018,232(14):2616-2626.

[89] 杜田,赵勇,宋建岭,等.基于指数积公式的空间管路装配偏差传递建模及分析[J].机械设计与研究,2020,36(4):128-132,137.DU Tian,ZHAO Yong,SONG Jianling,et al.Modeling and analysis of assembly deviation propagation in spatial piping based on exponential accumulation formula[J].Journal of Mechanical Design and Research,2020,36(4):128-132,137.

[90] 杜田.航天动力管路装配偏差传递建模与分析[D].上海:上海交通大学,2020.DU Tian.Modeling and analysis of assembly deviation propagation for aerospace power pipelines[D].Shanghai:Shanghai Jiao Tong University,2020.

[91] 陈坤勇.基于实测点云配准的空间管路优化设计方法研究[D].上海:上海交通大学,2022.CHEN Kunyong.Research on spatial pipeline optimization design method based on point cloud registration[D].Shanghai:Shanghai Jiao Tong University,2022.

[92] XUE X,LIAO J,VINCZE G,et al.Control strategy of twist springback for aluminium alloy hybrid thin-walled tube under mandrel-rotary draw bending[J].International Journal of Material Forming,2018,11(2):311-323.

[93] 谢媛媛,王华,徐振华,等.基于数值模拟的管材平面弯曲成形几何加工精度规律[J].精密成形工程,2023,15(3):173-180.XIE Yuanyuan,WANG Hua,XU Zhenhua,et al.Geometrical processing accuracy laws of pipe planar bending formed based on numerical simulation[J].Precision Forming Engineering,2023,15(3):173-180.

[94] ZHANG D,WANG Z,ZHANG S,et al.Bending process parameters optimization of the 316L tube with small R/D ratio:A physical prior knowledge based bayesian optimization approach[C]//Advances in Automation,Mechanical and Design Engineering.Cham,2023:291-304.

[95] 付颖,张昭,杨恒,等.高强小弯曲半径钛管热场辅助数控弯曲工艺参数确定性优化[J].塑性工程学报,2021,28(4):60-69.FU Ying,ZHANG Zhao,YANG Heng,et al.Optimization of process parameters for NC bending of high-strength titanium pipes with small bending radii assisted by heat fields[J].Journal of Plasticity Engineering,2021,28(4):60-69.

[96] ZHANG S,YUE Z M,XU A J,et al.A new strategy for springback compensation of spatial tube product in free bending technology[J].International Journal of Pressure Vessels and Piping,2024,212:105305.

[97] 岳婷,李万鹏,党琰.数字化制造技术在液体火箭发动机导管定制化加工中的应用[J].火箭推进,2022,48(5):93-100.YUE Ting,LI Wanpeng,DANG Yan.Application of digital manufacturing technology in customized processing of liquid rocket engine conduits[J].Rocket Propulsion,2022,48(5):93-100.

[98] QIAO B,ZHENG L,FANG W.A tube flexible assembly and welding system based on photogrammetry and robots[J].Frontiers in Manufacturing Engineering,2015,3(1):25-29.

[99] FANG Y,LI P,ZHEN X,et al.Modeling of adjustable bending pipe to compensate for pipe assembly production errors[J].Machines,2022,10(6):409-424.

[100] CHENG J,GU B,GAO C.Optimizing pipeline assembly:A novel model for predicting assembly pose considering clamp constraints[J].Robotic Intelligence and Automation,2024,44(6):922-934.

基本信息:

DOI:

中图分类号:TH161.1

引用信息:

[1]余海东,程嘉,高畅等.空间导管成形尺寸精度分析和控制方法研究进展与展望[J].塑性工程学报,2025,32(08):1-22.

基金信息:

国家自然科学基金面上项目(52275502)

引用

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