﻿ 基于田口方法的汽车仪表板杂物箱把手结构优化 Optimization of Structure of Auto Instrument Panel Glove Box Knob Based on Taguchi Method

Mechanical Engineering and Technology
Vol.06 No.02(2017), Article ID:21173,12 pages
10.12677/MET.2017.62025

Optimization of Structure of Auto Instrument Panel Glove Box Knob Based on Taguchi Method

Xinxing Shi1, Dongbo Guan2*, Lianli Jia1, Guang Mu1

1Changchun Faway Adient Automotive System Co. Ltd., Changchun Jilin

2Jilin University Material Science and Engineering Institute, Changchun Jilin

Received: Jun. 9th, 2017; accepted: Jun. 24th, 2017; published: Jun. 28th, 2017

ABSTRACT

In order to study the optimal structure of glove box knob for meeting heavy load test, with Taguchi Method and finite model software HYPERMESH 13.0 and LS-DYNA, the ideal function, noise factors and control factors are defined, inside/outside orthogonal array and static stress finite model are established. By analyzing signal-to-noise ratio (S/N, which is the ratio of useful function/harmful function to knob heavy load test) and property value(y, which is the maximal force value that knob can bear), the key factors and optimal combination are found. The analyzing result is 364N which is bigger than 245N. The heavy load stress increases by 62%. The robustness of structure of knob increases by 79%.

Keywords:Taguchi Method, Glove Box Knob, Robust Design, Heavy Load Strength, Simulation

1长春富维安道拓汽车饰件系统有限公司，吉林 长春

2吉林大学材料科学与工程学院，吉林 长春

1. 引言

2. 设计方法

2.1. 设计程序

2.2. 设计目标

2.3. 研究范围

Figure 1. Procedure of Taguchi parameter design

Figure 2. Procedure of Taguchi parameter design

Figure 3. Parts of Glove box knob assembly

2.4. 理想功能和信号策略

(1)

2.5. 噪音因素水平表

1) 外噪音，由于环境因素和使用条件的波动或变化，引起特性值的波动。例如，温度、湿度、位置等。

2) 内噪音，由于在储存或使用过程中，随着时间的推移，发生材料变质、劣化现象而引起特性值的波动。例如，电器产品绝缘材料的老化等。

3) 产品间噪音，在相同生产条件下，生产制造出来的一批产品，由于人、机、料、法、环的变化，引起质量特性值的波动。

Table 1. Physical and functional domain of glove box knob

Figure 4. Diagram of ideal function

2.6. 可控因素水平表

2.7. 开始实验/收集数据

2.8. 数据结果及分析

Table 2. Noise factors

Table 3. Control factors

(2)

(3)

(4)

2.9. 预测及验证

Figure 5. Diagram of noise factors

Figure 6. FEA model and result

Table 4. Taguchi orthogonal table

Table 5. Test results

Table 6. Characteristic value and S/N

(5)

(6)

(7)

(8)

Table 7. Control factors characteristic value

Table 8. Control factors S/N

Figure 7. Response plot of control factors characteristic value

Figure 8. Response plot of control factors S/N value

Figure 9. Optimal combination FEA model and result

(9)

(10)

(11)

(12)

(13)

(14)

3. 结论

(1) 通过田口方法对影响杂物箱把手重载荷强度的因素水平进行仿真实验设计与求解，定量化地建立了不同因素水平与重载荷强度的关系。

(2) 找出汽车仪表板杂物箱把手优化设计的关键影响因素和优化组合A1 (把手打开时，把手与把手支座的后部间隙0 mm)，B2 (把手打开时，转轴部位间隙1.5 mm)，C3 (把手限位杆与把手支座的配合面宽度7 mm)，D1 (把手长度42 mm)，E2 (把手B面设计十字交叉筋)，F3 (转轴部位壁厚2.7 mm)，G3 (转

Table 9. Comparison original design and optimization design

(3) 通过对预测的验证，确认预测结果准确可信，因此可以使用本文的数据和插值方法，对不同造型的把手结构进行快速的强度计算，以快速判断新的设计能否满足重载荷强度要求。

Optimization of Structure of Auto Instrument Panel Glove Box Knob Based on Taguchi Method[J]. 机械工程与技术, 2017, 06(02): 187-198. http://dx.doi.org/10.12677/MET.2017.62025

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