基于灰色关联分析的35CrMoV钢活塞杆激光熔覆工艺参数优化

赵丹丹;焦锋

兵工学报 ›› 2018, Vol. 39 ›› Issue (10) : 2073-2080.

兵工学报 ›› 2018, Vol. 39 ›› Issue (10) : 2073-2080. DOI: 10.3969/j.issn.1000-1093.2018.10.022
研究简报

基于灰色关联分析的35CrMoV钢活塞杆激光熔覆工艺参数优化

  • 赵丹丹, 焦锋
作者信息 +

Optimization of Laser Cladding Process Parameters of 35CrMoV Piston Rod Based on Grey Correlation Analysis

  • ZHAO Dan-dan, JIAO Feng
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文章历史 +

摘要

为选取优化合理的激光熔覆工艺参数匹配,获得致密性好、耐磨性强的熔覆层,采用激光熔覆技术对基材为35CrMoV钢的已磨损表面进行修复试验。以激光扫描速度、激光熔覆功率、送粉速度为自变量,以正交试验数据为基础,基于灰色系统的理论模型对试验数据进行处理;通过层次分析法计算多目标权重,运用灰色关联理论,分别计算并得到各工艺参数对理想单目标值的关联系数及对多目标值的关联度;将单目标参数优化转换为综合工艺参数优化,获得了优化工艺参数组合:扫描线速度100 mm/s、送粉速度42.8 g/min、激光熔覆功率1.8 kW;通过试验对优化结果进行了检验,结果表明:在最优工艺参数条件下,熔覆层质量得到明显提高,特别是耐磨性相对提高了43%.

Abstract

The laser cladding technology for repairing the worn surface of substrate with 35CrMoV is studied to optimize reasonably the laser cladding process parameter and obtain the cladding layer with excellent compactness and stronger abrasion resistance. The experimental data are processed on the basis of the theoretical model of grey system and the orthogonal test data, of which the scanning speed, laser power and speed of powder delivery are variable. The analytic hierarchy method is used to calculate the multi-target weight, and the grey correlation theory is used to calculate the correlation coefficient of each process parameter for the ideal single target value and the correlation degree to the multiple target value. Single target parameter optimization is converted to the integrate parameter optimization. The scanning line speed is 100 mm/s, the powder delivery speed is 42.8 g/min,and the laser power is 1.8 kW. The optimized results are verified experimentaly. The research shows that, under the the condition of optimal process parameters, the quality of cladding layer is obviously improved, and the wear resistance is increased by 43%. Key

关键词

35CrMoV钢活塞杆 / 激光熔覆 / 工艺参数 / 磨损率 / 关联度

Key words

35CrMoVpistonrod / lasercladding / processparameter / wearrate / correlation

引用本文

导出引用
赵丹丹, 焦锋. 基于灰色关联分析的35CrMoV钢活塞杆激光熔覆工艺参数优化. 兵工学报. 2018, 39(10): 2073-2080 https://doi.org/10.3969/j.issn.1000-1093.2018.10.022
ZHAO Dan-dan, JIAO Feng. Optimization of Laser Cladding Process Parameters of 35CrMoV Piston Rod Based on Grey Correlation Analysis. Acta Armamentarii. 2018, 39(10): 2073-2080 https://doi.org/10.3969/j.issn.1000-1093.2018.10.022

基金

河南省基础前沿技术研究计划项目(152300410102)

参考文献



[1]杨洗陈, 阎毓禾. 转镜宽带激光熔覆的研究[J]. 应用激光, 1988, 8(6): 245-250.
YANG Xi-chen, YAN Yu-he. A wide-band laser cladding by rotative polygon mirror[J]. Applied Laser, 1988, 8(6): 245-250.(in Chinese)
[2]ZhouS F, Dai X Q, Zheng H Z. Microstructure and wear resis- tanceof fe-based wc coating by multi-track overlapping laser induction hybrid rapid cladding[J]. Optics & Laser Technology, 2012, 44(1):190-197.
[3]Yang Y L, Zhang D, Yan W, et al. Microstructure and wear properties of TiCN/Ti coatings on titanium alloy by laser cladding[J]. Opticsand Lasers in Engineering, 2010, 48(1): 119-124.
[4]杨胶溪, 靳延鹏, 张宁. 激光熔覆技术的应用现状与未来发展[J]. 金属加工, 2016(4):13-16.
YANG Jiao-xi, JIN Yan-peng, ZHANG Ning. Application status and future development of laser cladding technology[J]. Metal Processing, 2016(4):13-16.(in Chinese)
[5]邓聚龙. 灰色系统[M]. 北京:国防工业出版社, 1985.
DENG Ju-long. The grey system[M]. Beijing:National Defense Industry Press, 1985.(in Chinese)
[6]赵建社, 郁子欣, 周旭娇, 等. 基于灰色理论的钛合金电火花加工工艺参数优化试验[J]. 中国机械工程, 2015, 26(14):1877-1882.
ZHAO Jian-she, YU Zi-xin, ZHOU Xu-jiao, et al. Experiments of parameter optimization of EDM titanium alloy based on gray relation theory[J]. China Mechanical Engineering, 2015, 26(14):1877-1882. (in Chinese)
[7]潘浒, 赵剑峰, 刘云雷, 等. 激光熔覆修复镍基高温合金稀释率的可控性研究[J].中国激光, 2013, 40(4):0403007.
PAN Hu, ZHAO Jian-feng, LIU Yun-lei, et al. Control lability research on dilution ration of nickel-based superalloy by laser cladding reparation[J].Chinese Journal of Lasers, 2013,40(4):0403007.(in Chinese)
[8]宋建丽, 邓琦林, 葛志军, 等. 镍基合金激光快速成形裂纹控制技术[J]. 上海交通大学学报, 2006, 40(3):548-552.
SONG Jian-li, DENG Qi-lin, GE Zhi-jun, et al. The cracking control technology of laser rapid form in nickel-based alloys[J]. Journal of Shanghai Jiao Tong University, 2006, 40(3): 548-552. (in Chinese)
[9]舒服华. 基于灰色关联的磨料水射流石材切割工艺参数优化[J]. 石材, 2016, 9(3):4-9.
SHU Fu-hua. The parameters of cutting and cutting engineering of the abrasive water jet are optimized[J]. Stone, 2016, 9(3):4-9.(in Chinese)

[10]张军锋, 史耀耀, 蔺小军, 等. 基于灰色关联分析的叶片砂带抛光参数优化[J]. 计算机集成制造系统, 2017, 23(4):806-814.
ZHANG Jun-feng, SHI Yao-yao, LIN Xiao-jun, et al. Parameters optimization in belt polishing process of blade based on grey relational analysis[J]. Computer Integrated Manufacturing Systems, 2017, 23(4):806-814.(in Chinese)
[11]鄢春艳, 赖兴余, 詹春毅, 等. 基于灰色关联分析的微小孔振动钻削参数优化[J]. 机械设计与制造, 2015(12):19-22.
YAN Chun-yan, LAI Xing-yu, ZHAN Chun-yi. Parameters optimization on micro hole vibration drilling based on grey relational analysis[J]. Machinery Design & Manufacture, 2015(12):19-22.(in Chinese)
[12]顾雪平, 赵宝斌, 刘文轩. 结合多目标优化与灰色关联决策的负荷恢复方法[J]. 电力自动化设备, 2015, 35(9):6-13.
GU Xue-ping, ZHAO Bao-bin, LIU Wen-xuan. Load restoration based on multi-objective optimization and grey incidence decision-making[J]. Electric Power Automation Equipment, 2015, 35(9):6-13.(in Chinese)
[13]赵茂俞, 薛克敏, 李萍. 多目标质量的覆盖件成形工艺参数优化[J]. 机械工程学报, 2009, 45(8):276-282.
ZHAO Mao-yu, XUE Ke-min, LI Ping. Auto panel forming process parameters optimization of multi-objective quality[J]. Journal of Mechanical Engineering, 2009, 45(8): 276-282.(in Chinese)


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