[1]林宇,邵辉,胡伟石,等.石材桥切机自动化加工过程的图形分析与路径优化[J].华侨大学学报(自然科学版),2018,39(4):485-488.[doi:10.11830/ISSN.1000-5013.201609023]
　LIN Yu,SHAO Hui,HU Weishi,et al.Graphic Analyzing and Path Optimization of Automatic Machining Process in Stone Bridge Cutting Machine[J].Journal of Huaqiao University(Natural Science),2018,39(4):485-488.[doi:10.11830/ISSN.1000-5013.201609023]
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石材桥切机自动化加工过程的图形分析与路径优化()
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《华侨大学学报（自然科学版）》[ISSN:1000-5013/CN:35-1079/N]

卷:
第39卷
期数:
2018年第4期
页码:
485-488
栏目:
出版日期:
2018-07-18

文章信息/Info

Title:
Graphic Analyzing and Path Optimization of Automatic Machining Process in Stone Bridge Cutting Machine
文章编号:
1000-5013(2018)04-0485-04
作者:
林宇1; 2;  邵辉1; 2;  胡伟石3;  罗继亮1; 2;  晏来成1; 2;  黄吉祥4
1. 华侨大学 信息科学与工程学院, 福建 厦门 361021;2. 福建省电机控制与系统优化调度工程技术研究中心, 福建 厦门 361021;3. 华侨大学 实验室与设备管理处, 福建 厦门 361021;4. 华侨大学 制造工程研究院, 福建 厦门 361021
Author(s):
LIN Yu1; 2;  SHAO Hui1; 2;  HU Weishi3;  LUO Jiliang1; 2;  YAN Laicheng1; 2;  HUANG Jixiang4
1. College of Information Science and Engineering, Huaqiao University, Xiamen 361021, China; 2. Fujian Engineering Research Center of Motor Control and System Optimal Schedule, Xiamen 361021, China; 3. Laboratory and Equipment Management Department, Huaqiao University, Xiamen 361021, China; 4. Institute of Manufacturing Engineering, Huaqiao University, Xiamen 361021, China
关键词:
路径优化;  石材桥切机;  控制系统;  DXF图形文件;  遗传算法
Keywords:
path optimization;  stone bridge cutting machine;  control system;  DXF graphics file;  genetic algorithm
分类号:
TP18;TG659
DOI:
10.11830/ISSN.1000-5013.201609023
文献标志码:
A
摘要:
针对石材桥式切割机加工石料过程中的加工路径优化问题,基于C#设计一套控制系统.该控制系统通过解析绘图交换格式(DXF)图形文件中的多个图形元素获取数据信息,并利用数据信息针对复杂图形设计方案进行加工路径优化,以加工完所有图形轮廓的路径最短为目标.根据优化目标将其简化为多点之间的路径优化,应用遗传算法对各点数据信息进行遗传编码求得次优切割路径.最后,通过一个复杂工件的切割路径规划说明该方法的可行性和有效性.
Abstract:
A control system was designed based on C# for solving the problem of optimizing machining path of stone bridge cutting machine. The data information of graphic multi-elements was obtained by analyzing drawing exchange format(DXF)graphics files in the system. Furthermore, using these data information the cutting path of complicated machining process was optimized with the objective that the cutting path should be shortest for machining all the graphic contours. And according to the optimization objective, it was reduced to the problem of path optimization among points, which obtains the suboptimal cutting path by genetic algorithm. At last, the proposed strategy was verified by a complicated graphic machining process. The optimized path has demonstrated the feasibility and validity of proposed method.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2016-09-18
通信作者: 邵辉(1973-),女,副教授,博士,主要从事机器人控制、运动规划、智能控制、非线性系统LPV建模的研究.E-mail:shaohuihu11@163.com.
基金项目: 福建省科技计划项目(2015H0026); 教育部第48批留学回国人员科研启动项目(2014年度); 福建省泉州市科技计划项目(2017T001)
更新日期/Last Update: 2018-07-20