Development and Application of Network Collaborative and Intelligent Ring Rolling Technology for High-end Equipment Large Rings

doi:10.3901/JME.260137

Abstract

Abstract: Large rings are widely used in high-end equipment such as aviation，aerospace and energy. They have many specifications，long manufacturing process and large batch changes. The process design，process measurement and control，and quality inspection of traditional ring rolling production are mainly dependent on manual experience，which will lead to poor process stability，large product quality fluctuation，high energy consumption and low efficiency. In order to meet the needs of high-qality，high-efficiency and low-carbon manufacturing of high-end equipment rings in China，the research on network collaborative and intelligent ring rolling technology for large-scale rings of high-end equipment was carried out. The key technologies such as digital intelligent process design，process measurement and control，quality inspection and network collaborative operation of multi-variety and variable-batch ring rolling were broken through. The computer-aided process design，process measurement and control，quality inspection system and design-manufacturing-detection integrated management and control platform for the whole process under the industrial network environment were developed. Several large-scale ring network collaborative intelligent ring rolling demonstration production lines were constructed，which promoted the upgrading of ring rolling production from manual-assisted semi-automatic mode to intelligent automation mode in China.

Key words: large rings, ring rolling, intelligent process design, intelligent measurement and control, intelligent detection, network collaboration

CLC Number:

TG331

DENG Jiadong, GUAN Shanyue, WANG Xiaokai, QIAN Dongsheng, LIU Chao, LIU Wei, HUA Lin. Development and Application of Network Collaborative and Intelligent Ring Rolling Technology for High-end Equipment Large Rings[J]. Journal of Mechanical Engineering, 2025, 62(6): 65-86.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.260137

http://www.cjmenet.com.cn/EN/Y2025/V62/I6/65

References

[1] 华林，黄兴高，朱春东. 环件轧制理论和技术[M]. 北京：机械工业出版社，2001.

HUA Lin，HUANG Xinggao，ZHU Chundong. Theory and technology of ring rolling[M]. Beijing：China Machine Press，2001.

[2] 兰箭，钱东升，邓加东，等. 高性能环类零件绿色智能轧制的研究进展[J]. 机械工程学报，2022，58(20)：186-197.

LAN Jian，QIAN Dongsheng，DENG Jiadong，et al. Development of green and intelligent rolling for high performance ring parts[J]. Journal of Mechanical Engineering，2022，58(20)：186-197.

[3] 华林，钱东升. 轴承环轧制成形理论和技术[J]. 机械工程学报，2014，50(16)：70-76.

HUA Lin，QIAN Dongsheng. Ring rolling forming theory and technology for bearing[J]. Journal of Mechanical Engineering，2014，50(16)：70-76.

[4] Qian D S，Deng J D，Hua L. Recent development of ring rolling theory and technique[J]. International Journal of Materials & Product Technology，2017，54(1-3)：65-87.

[5] 华林，钱东升，邓加东，等. 超大型环件轧制理论与技术[J]. 锻压技术，2018，43(7)：17-31.

HUA Lin，QIAN Dongsheng，DENG Jiadong，et al. Theory and technology of super-large ring rolling[J]. Forging & Stamping Technology，2018，43(7)：17-31.

[6] 郭良刚，邸伟佳，杨合，等. 难变形材料环件双向辗轧过程轧制曲线设计方法[J]. 机械工程学报，2014，50(16)：83-88.

GUO Lianggang，DI Wweijia，YANG He，et al. Design method of rolling curve during radial-axial ring rolling process for difficult-to-deform materials[J]. Journal of Mechanical Engineering，2014，50(16)：83-88.

[7] Liang L，Guo L G. Advanced feeding strategy driven by staged growth velocity for groove-section profiled ring rolling[J]. Journal of manufacturing processes，2022，81：907-921.

[8] Xie D，Wang Y，Ouyang Q，et al. Analytical calculation model for radial-axial coordinated feed strategy in large-scale flat ring rolling based on ultimate bending moment[J]. Journal of Materials Processing Technology，2023，319：118027.

[9] 徐立亮. 基于知识库和推理引擎的运载装备环形锻件成形工艺设计[D]. 武汉：武汉理工大学，2022.

XU Liliang. Forming process design of ring forgings for carrier equipment based on knowledge base and reasoning engine[D]. Wuhan：Wuhan University of Technology，2022.

[10] 赵博志，邓加东，钱东升，等. 面向大型环件径轴向稳定高效轧制的变形过程规划方法研究[J]. 塑性工程学报，2023，30(9)：9-16.

ZHAO Bozhi，DENG Jiadong，QIAN Dongsheng，et al. Research on radial-axial deformation process planning method for large ring rolling with stability and high efficiency[J]. Journal of Plasticity Engineering，2023，30(9)：9-16.

[11] 徐立亮，邓加东，胡志力，等. 基于机器学习的环形锻件轧制毛坯智能推演设计方法[J]. 塑性工程学报，2022，29(4)：23-29.

XU Liliang，DENG Jiadong，HU Zhili，et al. Intelligent deduction design method of ring forging blank based on machine learning[J]. Journal of Plasticity Engineering，2022，29(4)：23-29.

[12] 潘利波. 环件径轴向轧制变形规律与CAPP系统研究[D]. 武汉：武汉理工大学，2007.

PAN Libo. On deformation laws and CAPP system for radial-axial ring rolling[D]. Wuhan：Wuhan University of Technology，2007.

[13] 胡飘. 大型环件轧制生产过程工艺设计CAPP系统的研究与开发[D]. 武汉：武汉理工大学，2013.

HU Piao. Research and development of CAPP for the whole process design of large ring rolling production[D]. Wuhan：Wuhan University of Technology，2013.

[14] 甘洋洋. 径轴向环件轧制工艺优化与CAPP系统开发[D]. 济南：山东建筑大学，2013.

GAN Yangyang. Optimization of radial-axial ring rolling process and development of CAPP system[D]. Jinan：Shandong Jianzhu University，2013.

[15] 程奇林. 大型环件轧制工艺智能设计方法与CAPP系统开发[D]. 武汉：武汉理工大学，2020.

CHENG Qilin. Development of Intelligent Design Method for the Large Ring Rolling Process and CAPP System[D]. Wuhan：Wuhan University of Technology，2020.

[16] 高浩波，王保升，左健民，等.大型环件热态几何参数在线检测方法综述[J]. 机械设计与制造工程，2019，48(1)：93-96.

GAO Haobo，WANG Baosheng，ZUO Jianmin，et al. A review of online detection method for thermal geometric parameters of large rings[J]. Machine Design and Manufacturing Engineering，2019，48(1)：93-96.

[17] Zhang Y C ，Miao S ，Fu X B ，et al. Online measuring method of radial section line for ring forgings[J]. International Journal of Advanced Manufacturing Technology，2019，101(9)：3035-3046.

[18] Zhang Y，Zhang W，Fu X，et al. Research on outer diameter measurement method of ring forging based on standard deviation resampling[J]. The International Journal of Advanced Manufacturing Technology，2020，107(11)：4777-4784.

[19] 胡津，魏青轩，刘浩. 基于激光的非接触锻件直径在线测量的研究[J]. 大型铸锻件，2019(3)：50-51，54.

HU Jin，WEI Qingxuan，LIU Hao. Research on on-line measurement of non-contact forging based on laser[J]. Heavy Casting and Forging，2019(3)：50-51，54.

[20] 张玉存，王智愚，付献斌.基于点云精简的大型环锻件外形尺寸测量方法[J].计量学报，2023，44(7)：1027-1032.

ZHANG Yucun，WANG Zhiyu，FU Xianbin. Measurement method of large ring forgings based on point cloud simplification[J]. Acta Metrologica Sinica，2023，44(7)：1027-1032.

[21] 杨俊磊. 大型环件轧制过程变形状态多点复合精准测量方法与软件开发[D]. 武汉：武汉理工大学，2025.

YANG Junlei. Multi-point composite accurate measurement method and software development for the deformation state of large ring rolling process[D]. Wuhan：Wuhan University of Technology，2025.

[22] 汪小凯，董杰，华林，等.基于深度学习的热态环件轧制过程几何状态视觉测量方法[J]. 塑性工程学报，2022，29(11)：8-14.

WANG Xiaokai，Dong Jie，HUA Lin，et al. Visual measurement method of geometric state of hot ring rolling process based on deep learning[J]. Journal of Plasticity Engineering，2022，29(11)：8-14.

[23] 汪小凯，郑戈飞，黄康文，等. 基于多源信息融合的超大型环件轧制过程几何形状分阶段测量模型和方法研究[J]. 中国机械工程，2025，36(11)：2747-2756.

WANG Xiaokai，ZHENG Gefei，HUANG Kangwen，et al. Research on staged measurement model and method for geometric shape of super large ring forging process based on multi-source information fusion[J]. China Mechanical Engineering，2025，36(11)：2747-2756.

[24] Jenkouk V，Hirt G，Franzke M，et al. Finite element analysis of the ring rolling process with integrated closed-loop control[J].CIRP Annals，2012，61(1)：267-270.

[25] Guo L G，Yang H. Towards a steady forming condition for radial-axial ring rolling[J]. International Journal of Mechanical Sciences，2011，53(4)：286-299.

[26] Frischkorn J，Reese S. Modelling and simulation of process-integrated powder coating by radial axial rolling of rings[J]. Archive of Applied Mechanics，2012，82(2)：243-259.

[27] Lee K H，Ko D C，Kim D H，et al. Control method for centering rolls in radial-axial ring rolling Process[J]. International Journal of Precision Engineering and Manufacturing，2014，15(3)：535-544.

[28] Xu W J，Zhou X，Long J，et al. Feeding interval design considering multiconstraints in flat ring rolling process[J]. International Journal of Advanced Manufacturing Technology，2015，81(1-4)：219-229.

[29] Zhu X L，Dong L，Yang Y H，et al. Optimization on cooperative feed strategy for radial-axial ring rolling process of Inco718 alloy by RSM and FEM[J]. Chinese Journal of Aeronautics，2016，29(3)：831-842.

[30] 郭良刚，王凤琪，梁磊，等. 高性能环件辗轧成形智能仿真优化新思路与研究进展[J]. 精密成形工程，2017，9(4)：1-11.

GUO Lianggang，WANG Fengqi，LIANG Lei，et al. New idea and advances in intelligent simulation and optimization of high-performance ring rolling process[J]. Journal of Netshape Forming Engineering，2017，9(4)：1-11.

[31] 王雨，谢丹，何珞玉，等.大型异形环件径-轴向轧制芯辊运动自适应控制[J]. 塑性工程学报，2021，28(12)：81-89.

WANG Yu，XIE Dan，HE Luoyu，et al. Motion self-adaptive control of mandrel roll in radial-axial rolling for large profiled ring[J]. Journal of Plasticity Engineering，2021，28(12)：81-89.

[32] 羊冠立，钱东升，田汉，等. 基于表面平整度控制的超大型环件轧制曲线自优化方法研究[J]. 塑性工程学报，2025，32(1)：92-99.

YANG Guanli，QIAN Dongsheng，TIAN Han，et al. Study on self-optimized method of rolling curve based on surface flatness control for super large rings[J]. Journal of Plasticity Engineering，2025，32(1)：92-99.

[33] Hua L，Deng J D，Qian D S，et al. Modeling and application of ring stiffness condition for radial-axial ring rolling[J]. International Journal of Machine Tools & Manufacture，2016，110：66-79.

[34] 邓加东. 运载装备用大型环件轧制稳定性与组织演化规律研究[D]. 武汉：武汉理工大学，2017.

DENG Jiadong. Research on process stability and structural evolution law of radial-axial rolling for large vehicle ring[D]. Wuhan：Wuhan University of Technology，2017.

[35] 钱东升，田汉，邓加东. 面向极大尺度环件径-轴向稳定轧制的环件匀速长大状态精准闭环控制方法[J]. 机械工程学报，2023，59(10)：85-95.

QIAN Dongsheng，TIAN Han，DENG Jiadong. Towards extremely large-scale radial-axial ring rolling for constant ring growth state with accurate closed-loop control method[J]. Journal of Mechanical Engineering，2023，59(10)：85-95.

[36] 宁湘锦，汪小凯，华林，等. 超大型环件径轴向轧制过程稳定性与圆度自适应控制方法研究[J]. 中国机械工程，2022，33(11)：1353-1360.

NING Xiangjin，WANG Xiaokai，HUA Lin，et al. Research on stability and roundness adaptive control method of radial and axial ring rolling processes of super large rings[J]. China Mechanical Engineering，2022，33(11)：1353-1360.

[37] Zheng Y，Zhao X，Song S J，et al. Beam generating and sound field modeling of flexible phased arrays for inspecting complex geometric components[J]. Wave Motion，2020，94：102494.

[38] Zou Z Y，Qiu H A，Wang Z H，et al. An ultrasonic phased array method for detecting the internal defects in composite insulators by using the concave probe[J]. Ieee T Dielect El In.，2025，32：541-50.

[39] 罗忠兵，张松，钱恒奎，等. CFRP复杂几何结构区相控阵超声检测建模与声传播规律[J]. 复合材料学报. 2021，38：3672-81.

LUO Zhongbing，ZHANG Song，QIAN Hengkui，et al. Modelling and wave propagation behavior of phased array ultrasonic testing on carbon fiber reinforced plastics components with complex geometry[J]. Acta Materiae Compositae Sinica，2021，38：3672-81.

[40] 李一轩，汪小凯，董新宇，等. 轮毂轴承滚道成形缺陷超声相控阵检测技术[J]. 塑性工程学报，2022，29(11)：61-66.

LI Yixuan，WANG Xiaokai，DONG Xinyu，et al. Ultrasonic phased array detection technology of forming defects of wheel hub bearing raceway[J]. Journal of Plasticity Engineering，2022，29(11)：61-66.

[41] 黄鑫章，陈振华，李喆，王红源，赵玉琦，卢超. 铸造不锈钢机匣R角区域的水浸超声相控阵检测技术[J]. 电子测量与仪器学报. 2024，38：16-23.

HUANG Xinzhang，CHEN Zhenhua，LI Zhe，WANG Hongyuan，ZHAO Yuqi，LU Chao. Ultrasonic water immersion phased array detection technology in R angle area of cast stainless steel casing[J]. Journal of Electronic Measurement and Instrumentation，2024，38：16-23.

[42] 吕涛，刘芳，刘畅，董德秀，张伟红，蔡桂喜. GH907合金机匣锻环的超声衰减性能与其组织的关系[J]. 材料研究学报，2024，38：14-22.

Lü Tao，LIU Fang，LIU Chang，DONG Dexiu，ZHANG Weihong，CAI Guixi. Influence of microstructure on ultrasonic attenuation of forged GH907 alloy ring for aero engine turbine casing[J]. Chinese Journal of Materials Research，2024，38：14-22.

[43] Guan S Y，Wang X K，Hua L，et al. Ultrasonic phased array inspection of aeroengine casing ring forgings using adaptive filtering and angle gain compensation algorithm[J]. Applied Acoustics，2022，195：108833.

[44] Guan SY，Hua L，Wang X K，et al. Ultrasonic TFM imaging inspection of large complex rings using defect quantitative evaluation mappings[J]. Nondestruct Test Eva，2025，40(8)：3377-3398.

[45] Zhao W D，Chen F，Huang H C，et al. A new steel defect detection algorithm based on deep learning[J]. Comput Intel Neurosc，2021，2021(1)：5592878.

[46] Posilovic L，Medak D，Milkovic F，et al. Deep learning-based anomaly detection from ultrasonic images[J]. Ultrasonics，2022，124：106737.

[47] Medak D，Posilovic L，Subasic M，et al. DefectDet：A deep learning architecture for detection of defects with extreme aspect ratios in ultrasonic images[J]. Neurocomputing. 2022，473：107-15.

[48] 汪小凯，蒋秋月，关山月，等. 基于深度学习的TC4钛合金零件微小缺陷超声相控阵检测图像降噪方法研究[J]. 航空制造技术，2023，66(22)：46-52.

WANG Xiaokai，JIANG Qiuyue，GUAN Shanyue，et al. Research on ultrasonic phased array images denoising method for micro defect detection of TC4 titanium alloy parts based on deep learning[J]. Aeronautical Manufacturing Technology，2023，66(22)：46-52.

[49] GUAN S，WANG X，HUA L，et al. Automated detection of multi-type defects of ultrasonic TFM images for aeroengine casing rings with complex sections based on deep learning[J]. Chinese J Aeronaut，2025，38(8)： 103379.

[50] 关山月，汪小凯，华林，等. 航空机匣环件曲面结构超声全聚焦检测与缺陷定量方法[J]. 中国机械工程，2023，34(8)：892-898.

GUAN Shanyue，WANG Xiaokai，HUA Lin，et al. Ultrasonic TFM inspection and quantitative method of defects for curved surface structures of aeroengine casing rings[J]. China Mechanical Engineering，2023，34(8)：892-898.

[51] 汪小凯，关山月，蒋秋月，等. 大型轴承套圈超声相控阵曲面自适应聚焦与多通道自动化检测方法[J]. 轴承，2024(11)：109-111

WANG Xiaokai，GUAN Shanyue，JIANG Qiuyue，et al. Adaptive focusing and multi-channel automated detection method for ultrasonic phased array curved surface of large size bearing rings[J]. Bearing，2024(11)：109-111.

[52] Ma H J ，Huang X N ，Hu Z ，et al. Multi-objective production scheduling optimization and management control system of complex aerospace components：A review[J].The International Journal of Advanced Manufacturing Technology，2023，127：4973-4993.