锻压技术

基于差分进化算法的叶片辊轧工艺参数优化

英文标题：Optimization on blade rolling process parameters based on differential evolution algorithm

作者：张瑜1 嵇子杰2 赵飞1

单位：（1.安阳工学院机械工程学院河南安阳 455000 2.辽宁工程技术大学机械工程学院辽宁阜新 123000）

分类号：TG337.1

出版年,卷(期):页码：2025,50(4):141-146

摘要：

摘要：针对因轧制工艺排布不合理而降低叶片表面质量的问题，采用单因素实验方法分析不同压下率ε、摩擦因数μ和轧制速度v等工艺参数对叶片表面性能的影响规律。采用正交实验方法建立叶片的表面粗糙度、硬度以及残余应力预测模型，并基于Design-Expert检验法验证预测模型的显著性。以表面粗糙度最小、硬度和残余应力最大为多目标函数，采用差分进化算法对不同轧制工艺进行了优化，获得叶片轧制工艺优化参数为ε=13%、μ=0.04、v=6 mm·s-1，对应的硬度值为329.8 HV、表面粗糙度为0.317 μm、残余应力为-738.5 MPa，该研究结果为叶片的轧制加工提供了数据支撑。

Abstract: For the problem of reducing the surface quality of blade due to unreasonable rolling process arrangement， the influences of different process parameters such as reduction rate ε， friction coefficient μ and rolling speed v on the surface performance of blade were analyzed by single factor experiment method.Then， the surface roughness， hardness and residual stress prediction model of blade were established by orthogonal experiment method， and the significance of the prediction model was verified based on Design-Expert test method. Furthermore， taking minimum surface roughness， maximum hardness and maximum residual stress as the multi-objective function， the different rolling processes were optimized by differential evolution algorithm， and the optimization parameters of rolling process for blade were obtained as ε=13%，μ=0.04，v=6 mm·s-1. The corresponding hardness was 329.8 HV， the surface roughness was 0.317 μm， and the residual stress was -738.5 MPa. Thus， the research results provide data support for the rolling processing of blade.

基金项目：

基金项目:河南省科技攻关项目（252102220083）；河南省高等学校重点科研项目（25A460018）；安阳市科技攻关项目（2023C01GX034）

作者简介：张瑜（1987-），男，博士，副教授

参考文献：

［1］陆彦良，吴永斌，黄联杰，等.TC6钛合金叶片形变热处理工艺
［J］.锻压技术，2024，49(11)：169-174.

Lu Y L，Wu Y B，Huang L J，et al .Deformation heat treatment process of TC6 titanium alloy blades
［J］. Forging & Stamping Technology，2024，49(11)：169-174.

［2］鲜超，史耀耀，蔺小军，等.百叶轮抛光航空发动机叶片残余应力建模
［J］.计算机集成制造系统，2021， 27(8): 2204-2214.

Xian C， Shi Y Y， Lin X J，et al.Residual stress model of polishing aero-engine blades with abrasive cloth wheel
［J］. Computer Integrated Manfacturing Systems， 2021，27(8):2204-2214.

［3］淮文博，史耀耀，杜羽寅，等.GH4169叶片表面粗糙度和残余应力的砂布轮抛光工艺参数区间优选
［J］.机械科学与技术，2021，40(5):721-726.

Huai W B， Shi Y Y， Du Y Y， et al. Optimization of polishing process parameters for surface roughness and residual stress of GH4169 blade with abrasive cloth wheel
［J］. Mechanical Science and Technology for Aerospace Engineering， 2021，40(5): 721-726.

［4］刘德，史耀耀，蔺小军，等.叶片抛光表面粗糙度与残余应力优化分析
［J］.计算机集成制造系统，2021， 27(5): 1328-1340.

Liu D， Shi Y Y， Lin X J， et al. Optimization analysis of surface roughness andresidual stress of polished aero-enginge blade
［J］.Computer Integrated Manfacturing Systems，2021， 27(5):1328-1340.

［5］崔金星，邓烁，彭艳，等.工业数据驱动的轧机振动预测和工艺优化
［J］.振动、测试与诊断，2022，42(1): 110-116， 198.

Cui J X， Deng S， Peng Y， et al.Rolling mill vibration prediction and process optimization driven by industrial data
［J］.Journal of Vibration，Measurement & Diagnosis，2022，42(1): 110-116，198.

［6］张华伟，王永喆，吴佳璐.基于灰色关联分析的轧制差厚板盒形件充液拉深成形工艺参数多目标优化
［J］.精密成形工程，2023，15(2):180-187.

Zhang H W， Wang Y Z， Wu J L. Multi-objective optimization of process parameters for tailor rolled blank box parts in hydro deep forming based on grey relation analysis
［J］.Journal of Netshape Forming Engineering， 2023，15(2):180-187.

［7］张欣，陈树宗，李旭，等.基于遗传算法的不锈钢冷连轧机轧制规程优化
［J］.钢铁，2023，58(7):99-105.

Zhang X， Chen S Z， Li X， et al. Optimization of tandem cold rolling schedule for stainless steel strip based on genetical gorithm
［J］. Iron and Steel， 2023，58(7):99-105.

［8］陈乐乐，胡德友，王振，等.7050铝合金非等厚带筋壁板压弯成形仿真分析与结构优化
［J］.锻压技术，2024，49(12):52-58.

Chen L L，Hu D Y，Wang Z，et al.Simulation analysis and structural optimization on bending forming of 7050 aluminum alloy non-equal thickness panel with ribs
［J］. Forging & Stamping Technology，2024，49(12)：52-58.

［9］戴南，余心宏，郭佳鑫，等.基于支持向量回归的叶片挤压出料温度预测研究
［J］.精密成形工程，2022，14(8): 13-19.

Dai N， Yu X H， Guo J X， et al. Prediction of discharge temperature for blade extrusion based on support vector regression
［J］.Journal of Netshape Forming Engineering， 2022，14(8): 13-19.

［10］孙杰，陈树宗，王云龙，等.冷连轧关键质量指标与轧制稳定性智能优化控制技术
［J］.钢铁研究学报，2022，34(12): 1387-1397.

Sun J， Chen S Z， Wang Y L， et al. Intelligent optimization control technology for key quality indexes and rolling stability of tandem cold rolling
［J］. Journal of Iron and Steel Research，2022，34(12):1387-1397.

［11］张殿华，孙杰，陈树宗，等.高精度薄带材冷连轧过程智能优化控制
［J］.钢铁研究学报，2019，31(2):180-189.

Zhang D H， Sun J， Chen S Z，et al. Intelligent optimization control of tandem cold rolling process for high precision thins trip
［J］. Journal of Iron and Steel Research，2019，31(2):180-189.

［12］曹丽茹，王晓强，王排岗，等.基于NSGAⅡ算法的超声滚挤压工艺参数优化
［J］. 塑性工程学报， 2022， 29(7): 19-25.

Cao L R，Wang X Q，Wang P G，et al. Optimization of ultrasonic roll extrusion process parameters based on NSGAⅡ algorithm
［J］. Journal of Plasticity Engineering， 2022， 29(7): 19-25.

［13］秦勤,罗斌,李长聪,等.皮尔格冷轧管机轧制过程工艺优化
［J］.中南大学学报(自然科学版),2023,54(12): 4711-4719.

Qin Q, Luo B, Li C C, et al. Process optimization of Pilger cold rolling
［J］. Journal of Central South University(Science and Technology), 2023, 54(12): 4711-4719.

［14］郝坤羽,金朝阳,陈思远,等.基于智能算法的C-Mn钢轧制工艺优化与性能预测
［J］.塑性工程学报,2022,29(7): 87-93.

Hao K Y, Jin Z Y, Chen S Y, et al. Rolling process optimization and performance prediction of C-Mn steel based on intelligent algorithm
［J］. Journal of Plasticity Engineering,2022,29 （7): 87-93.

［15］Li Y,Lei F. Robust multi-objective optimization of rolling schedule for tandem cold rolling based on evolutionary direction differential evolution algorithm
［J］. Journal of Iron and Steel Research(International), 2017, 24(8):795-802.

［16］张书荣.六辊可逆冷轧机全轧程轧制力预测的方法研究
［D］.西安:西安理工大学,2022.

Zhang S R. Research on Rolling Force Prediction Method of Six-high Reversible Cold Rolling mill
［D］. Xi′an: Xi′an University of Technology, 2022.

［17］张新彤,张成明,李立毅,等.电推进用高效轻质永磁同步电机的设计方法
［J］.机械工程学报,2023,59(8): 181-195.

Zhang X T, Zhang C M, Li L Y. et al. Design method of high efficiency lightweight permanent magnet synchronous motor for electric propulsion
［J］. Journal of Mechanical Engineering,2023, 59(8): 181-195.

［18］ Min S G, Sarlioglu B. 3-D performance analysis and multiobjective optimization of coreless-type PM linear synchronous motors
［J］. IEEE Transactions on Industrial Electronics, 2018,65(2): 1855-1864.

服务与反馈：

【文章下载】【加入收藏】