基于RSM的空心立铣刀多学科多目标优化设计

赵洪锋; 单忠德; 刘丰; 臧勇

doi:10.3969/j.issn.0258-2724.2015.04.025

基于RSM的空心立铣刀多学科多目标优化设计

doi: 10.3969/j.issn.0258-2724.2015.04.025

赵洪锋^1,2,
单忠德^1, ,,
刘丰¹,
臧勇²

基金项目:

国家科技重大专项资助项目(2012ZX04007011)

详细信息

作者简介:
赵洪锋(1988-),男,博士研究生,研究方向为无模砂型数字化制造技术及装备,E-mail:zhaohongfengbj@163.com

通讯作者:
单忠德(1970-),男,研究员,博士生导师,研究方向为数字化绿色制造技术及智能装备,E-mail:shanzd@cam.com.cn

计量
- 文章访问数: 834
- HTML全文浏览量: 54
- PDF下载量: 277
- 被引次数: 0
出版历程
- 收稿日期: 2015-03-17
- 刊出日期: 2015-08-25

Multidisciplinary Multi-objective Optimization Design of Hollow End Mill Based on Response Surface Method

摘要

摘要: 为了解决无模砂型数字化切削加工过程中不易及时排除砂屑问题,基于气力输送原理设计了一种气动排屑空心立铣刀.首先,结合仿真分析和响应面法,建立了空心立铣刀的多学科多目标优化模型,以获得空心立铣刀的良好静动力学性能和气动排砂性能;其次,采用第二代非支配解排序遗传算法(NSGA-II)得到Pareto优化解集;最后,通过仿真和加工实验验证了优化结果的可靠性.Parero优化结果与初始设计相比,刀尖相对工件总变形量平均减小0.1%,一阶固有频率平均提高0.8%,型腔出口平均风速平均提高10.2%,提高了空心立铣刀综合性能.
- 空心立铣刀 /
- 响应面法 /
- 多学科多目标优化 /
- 遗传算法
Abstract: In order to deal with the difficulty of removing sand chips in digitally machining sand molds without pattern with dry cutting, a hollow end mill was designed that can remove sand chips by pneumatic conveying. First, combined with simulation analysis and response surface method, a multidisciplinary multi-objective optimal model of hollow end mill was established to achieve good static and dynamic performance and good removing chips performance. Then, the Pareto optimal solutions were obtained using non-dominated Sorting Genetic Algorithm II (NSGA-II). Finally, the reliability of optimization results was verified by the simulation and experiments. The Pareto optimal results, compared with the initial design, show that the total deformation of tool nose relative to work piece reduces 0.1% on average, the first-order natural frequency increases averagely 0.8%, and the average wind velocity at the outlet of sand mold cavity increases averagely 10.2%, improving the overall performance of hollow end mill.
- hollow end mill /
- response surface method /
- multidisciplinary multi-objective optimization /
- genetic algorithm

HTML全文

参考文献(45)

中国机械工程学会. 中国机械工程技术路线图

[M]. 北京:中国科学技术出版社,2011: 50-56.

SHAN Zhongde, LIU Feng, ZHAN Li, et al. Research on patternless casting CNC manufacturing technology and development of the equipment

SHAN Zhongde, QIN Shaoyan, LIU Qian, et al. Key manufacturing technology equipment for energy saving and emissions reduction in mechanical equipment industry

谢云龙,徐志锋,张永才,等. 精密砂型数控铣削加工技术研究进展

[J]. Advanced Materials Research, 2010, 97-101: 4036-4041.

LI Anhai, ZHAO Jun, PEI Zhiqiang, et al. Simulation-based solid carbide end mill design and geometry optimization

CHI H C, YUNG C W, BEAN Y L. The optimal design of micro end mill for milling SKD61 tool steel

[J]. International Journal of Precision Engineering and Manufacturing, 2012, 13(7): 1095-1100.

MENG Chaofan, LIU Xianli, JI Wei, et al. Cutting edge mathematical model for ellipsoidal end mill

[J]. 铸造,2014,60(8): 795-800. XIE Yunlong, XU Zhifeng, ZHANG Yongcai, et al. Research progress of precision sand CNC milling technology

皇攀凌. 面向钛合金铣削的变齿距立铣刀研究

[J]. Foundry, 2014, 60(8): 795-800.

GUAN Yanjin, BAI Xue, LIU Mujuan, et al. 3D preform design in forging process based on quasi-quipotential field and response surface methods

隋允康,宇惠平. 响应面方法的改进及其对工程优化的应用

YOU Wei, KONG Minxiu,,SUN Lining, et al. Optimal design of dynamic and control performance for planar manipulator

[J]. The International Journal of Advanced Manufacturing Technology, 2014, 71(9/10/11/12): 1889-1900.

姜衡,管贻生,邱志成,等. 基于响应面法的立式加工中心动静态多目标优化

[J]. The International Journal of Advanced Manufacturing Technology, 2013, 68(1/2/3/4): 165-173.

彭康,李夕兵,彭述权,等,基于响应面法的海下框架式采场结构优化选择

ZHAO Chen, LI Haoying, SHI Hongshi, et al. Flow field analysis and response surface research on the rotor in dry powder inhaler

[J]. Materials Science Forum, 2014, 800-801: 495-500.

李林书,蒋梅胜,何也能,等. 空气引射提高风力灭火机风速的分析与试验

LANZAFAME R, MAURO S, MESSINA M. Wind turbine CFD modeling using a correlation-based transitional model

DEB K, AGRAWAL S, PRATAP A, et al. A fast elitist non-dominated sorting genetic algorithm for multi-objective optimization: NSGA-Ⅱ

[D]. 济南:山东大学,2011.

杨明,苏标,孙志杰,等. 随机OD需求下的多目标离散交通网络设计模型与算法

SENTHILKUMAR C,GANESAN G, KARTHIKEYAN R. Parametric optimization of electrochemical machining of Al/15% SiCp composites using NSGA-Ⅱ

[J]. Procedia Engineering, 2014, 81: 468-473.

SHARON R, KUMUDINIDEVI R P, BHARATHIDASANB S G, et al. Coordinated controller design of grid connected DFIG based wind turbine using response surface methodology and NSGA Ⅱ

[M]. 北京:科学出版社,2010: 4-14.

[J]. Journal of Central South University, 2012, 19: 108-116.

[J]. 机械工程学报,2011,47(11): 125-133. JIANG Heng, GUAN Yisheng, QIU Zhicheng, et al. Dynamic and static multi-objective optimization of a vertical machining center based on response surface method

[J]. Chinese Journal of Mechanical Engineering, 2011, 47(11): 125-133.

[J]. 中南大学学报:自然科学版,2011,42(8): 2417-2422. PENG Kang, LI Xibing, PENG Shuquan, et al. Optimization of frame stope structure parameters based on response surface method in under-sea mining

[J]. Journal of Central South University: Science and Technology, 2011, 42(8): 2417-2422.

[J]. Advanced Materials Research, 2014, 983: 242-245.

[J]. 农业工程学报,2014,30(1): 55-62. LI Linshu, JIANG Meisheng, He Yeneng, et al. Analysis and experiment on air-ejecting for improving wind speed of pneumatic extinguisher

[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(1): 55-62.

[J]. Renewable Energy, 2013, 52: 31-39.

[M]. Berlin Heidelberg: Springer, 2000: 849-858.

[J]. 西南交通大学学报,2014,49(1): 119-125. YANG Ming, SU Biao, SUN Zhijie, et al. Model and algorithm of multi-objective discrete transportation network design under stochastic demand among OD pairs

[J]. Journal of Southwest Jiaotong University, 2014, 49(1): 119-125.

[J]. Transactions of Nonferrous Metals Society of China, 2011, 21: 2294-2300.

[J]. Sustainable Energy Technologies and Assessments, 2014, 8: 120-130.

施引文献

附加材料(0)

访问统计