上海交通大学学报 ›› 2025, Vol. 59 ›› Issue (8): 1156-1168.doi: 10.16183/j.cnki.jsjtu.2023.511
收稿日期:
2023-10-10
修回日期:
2023-11-30
接受日期:
2023-12-04
出版日期:
2025-08-28
发布日期:
2025-08-26
通讯作者:
刘顺
E-mail:shunliu@sjtu.edu.cn
作者简介:
杜雪明(2000—),博士生,从事航发环形薄壁件多工序误差传递累积机理研究.
基金资助:
DU Xueming, XIANG Yang, LIU Shun(), JIN Sun
Received:
2023-10-10
Revised:
2023-11-30
Accepted:
2023-12-04
Online:
2025-08-28
Published:
2025-08-26
Contact:
LIU Shun
E-mail:shunliu@sjtu.edu.cn
摘要:
在航空发动机机匣类零件自动化组线升级改造中,零点定位系统和辅助找正台等新设备的引入显著提升了生产效率,但同时也加剧了多工序加工中的系统误差累积.为降低新系统误差对加工精度的不利影响,研究了不确定性输入条件下找正系统的误差建模与精度优化方法.研究方法主要包括:首先,建立考虑零点定位系统子母盘装配差异的偏差分析模型,并采用K-S检验方法验证模型准确性;基于该模型,系统分析了多子盘-母盘互换过程中的精度损失规律.其次,创新性地提出基于输出分布差异与超差率差异的精度损失量化函数,通过对找正系统的基座结构进行优化,将系统精度损失由原先的11.53%降低至2.33%.同时,有效改善了由加工基准和定位基准不一致导致的工件径跳分布问题,其分布差异由 0.117 15 降至 0.039 54.本研究实现了零点装夹找正系统性能的显著提升,为产线的装夹定位精度分析和优化提供了理论支撑和实践指导.
中图分类号:
杜雪明, 向洋, 刘顺, 金隼. 机匣组线加工装夹找正系统误差建模与精度优化方法[J]. 上海交通大学学报, 2025, 59(8): 1156-1168.
DU Xueming, XIANG Yang, LIU Shun, JIN Sun. Modeling of Systematic Errors and Precision Optimization Methods for Workpiece Clamping and Alignment System in Aeroengine Gearbox Automated Line Machining[J]. Journal of Shanghai Jiao Tong University, 2025, 59(8): 1156-1168.
表3
实测数据
序号 | 测量值 | 序号 | 测量值 | 序号 | 测量值 | 序号 | 测量值 | 序号 | 测量值 |
---|---|---|---|---|---|---|---|---|---|
1 | 0.52 | 21 | 0.46 | 41 | 0.40 | 61 | 0.35 | 81 | 0.30 |
2 | 0.46 | 22 | 0.49 | 42 | 0.47 | 62 | 0.34 | 82 | 0.49 |
3 | 0.22 | 23 | 0.48 | 43 | 0.51 | 63 | 0.38 | 83 | 0.46 |
4 | 0.34 | 24 | 0.40 | 44 | 0.46 | 64 | 0.38 | 84 | 0.46 |
5 | 0.37 | 25 | 0.50 | 45 | 0.40 | 65 | 0.37 | 85 | 0.47 |
6 | 0.37 | 26 | 0.46 | 46 | 0.51 | 66 | 0.30 | 86 | 0.37 |
7 | 0.50 | 27 | 0.39 | 47 | 0.50 | 67 | 0.34 | 87 | 0.15 |
8 | 0.49 | 28 | 0.24 | 48 | 0.22 | 68 | 0.31 | 88 | 0.14 |
9 | 0.49 | 29 | 0.46 | 49 | 0.47 | 69 | 0.33 | 89 | 0.36 |
10 | 0.49 | 30 | 0.46 | 50 | 0.33 | 70 | 0.30 | 90 | 0.36 |
11 | 0.46 | 31 | 0.45 | 51 | 0.33 | 71 | 0.29 | 91 | 0.36 |
12 | 0.16 | 32 | 0.45 | 52 | 0.32 | 72 | 0.24 | 92 | 0.36 |
13 | 0.46 | 33 | 0.36 | 53 | 0.31 | 73 | 0.26 | 93 | 0.32 |
14 | 0.50 | 34 | 0.35 | 54 | 0.31 | 74 | 0.28 | 94 | 0.19 |
15 | 0.39 | 35 | 0.35 | 55 | 0.31 | 75 | 0.27 | 95 | 0.51 |
16 | 0.39 | 36 | 0.43 | 56 | 0.28 | 76 | 0.24 | 96 | 0.34 |
17 | 0.30 | 37 | 0.42 | 57 | 0.30 | 77 | 0.48 | 97 | 0.34 |
18 | 0.45 | 38 | 0.42 | 58 | 0.30 | 78 | 0.16 | 98 | 0.47 |
19 | 0.44 | 39 | 0.40 | 59 | 0.28 | 79 | 0.28 | 99 | 0.50 |
20 | 0.43 | 40 | 0.40 | 60 | 0.30 | 80 | 0.47 | 100 | 0.11 |
表6
多母盘装配偏差模型输入
序号 | 数值 | 分布 | 序号 | 数值 | 分布 | 序号 | 数值 | 分布 |
---|---|---|---|---|---|---|---|---|
t11 | ⌀0.4 | Normal | t20 | ⌀0.02 | Normal | e11 | 0.5 | Normal |
t12 | 0.012 | Normal | t21 | ⌀0.2 | Normal | e12 | 0.3 | Normal |
t13 | 0.012 | Normal | t22 | ⌀0.02 | Normal | e13 | 0.3 | Normal |
t14 | ⌀0.2 | Normal | t23 | 0.005 | Normal | e14 | 0.01 | Normal |
t15 | ⌀0.2 | Normal | t24 | 0.01 | Normal | e15 | 0.3 | Normal |
t16 | ⌀0.2 | Normal | t25 | ⌀0.02 | Normal | e16 | 0.1 | Normal |
t17 | 0.01 | Normal | t26 | ⌀0.2 | Normal | e17 | 0.3 | Normal |
t18 | 0.005 | Normal | t27 | 0.02 | Normal | e18 | 0.1 | Normal |
t19 | ⌀0.2 | Normal |
表7
母盘差异输入仿真结果
序号 | 名义值 | μ | σ | OOT/% | CP | CPK | LSL | USL | L3σ | H3σ |
---|---|---|---|---|---|---|---|---|---|---|
找正台/ | 0 | 0.229 | 0.079 1 | 2.81 | 0.811 | 0.536 | 0 | 0.4 | 0.037 | 0.701 |
机床/ | 0 | 0.295 | 0.091 6 | 12.69 | 0.708 | 0.310 | 0 | 0.4 | 0.052 | 0.821 |
找正台/ | 0 | 0.263 | 0.133 7 | 5.54 | 0.674 | 0.484 | 0 | 0.5 | 0.011 | 0.752 |
机床/ | 0 | 0.321 | 0.164 0 | 14.47 | 0.559 | 0.305 | 0 | 0.5 | 0.013 | 0.908 |
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