Process-scheme-driven automatic construction of NC machining cell for aircraft structural parts
查看参考文献28篇
文摘
|
In order to enhance the NC programming efficiency and quality of aircraft structural parts (ASPs), an intelligent NC programming pattern driven by process schemes is presented. In this pattern, the NC machining cell is the minimal organizational structure in the technological process, consisting of an operation machining volume cell, and the type and parameters of the machining operation. After the machining cell construction, the final NC program can be easily obtained in a CAD/CAM system by instantiating the machining operation for each machining cell. Accordingly, how to automatically establish the machining cells is a key issue in intelligent NC programming. On the basis of the NC machining craft of ASP, the paper aims to make an in-depth research on this issue. Firstly, some new terms about the residual volume and the machinable volume are defined, and then, the technological process is modeled with a process scheme. Secondly, the approach to building the machining cells is introduced, in which real-time complement machining is mainly considered to avoid interference and overcutting. Thirdly, the implementing algorithm is designed and applied to the Intelligent NC Programming System of ASP. Finally, the developed algorithm is validated through two case studies. |
来源
|
Chinese Journal of Aeronautics
,2013,26(5):1324-1335 【核心库】
|
DOI
|
10.1016/j.cja.2013.07.035
|
关键词
|
Aircraft structural part (ASP)
;
Automatic programming
;
Machining cell
;
Process planning
;
Process scheme
;
Residual volume
|
地址
|
1.
School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191
2.
Shenyang Aircraft Industry (Group) Corporation Ltd., Shenyang, 110034
|
语种
|
英文 |
文献类型
|
研究性论文 |
ISSN
|
1000-9361 |
学科
|
航空 |
基金
|
supported by National Science and Technology Major Project
|
文献收藏号
|
CSCD:4957390
|
参考文献 共
28
共2页
|
1.
Vosniakos G. An intelligent software system for the automatic generation of NC programs from wireframe models of 2-1/2D mechanical parts.
Comput Integr Manuf Syst,1998,11(1/2):53-65
|
被引
1
次
|
|
|
|
2.
Miao H K. CAD-CAM integration using machining features.
Comput Integr Manuf Syst,2002,15(4):296-318
|
被引
1
次
|
|
|
|
3.
Hou M. Automatic tool path generation of a featurebased CAD/CAPP/CAM integrated system.
Int J Comput Integr Manuf,2006,19(4):350-358
|
被引
7
次
|
|
|
|
4.
Zhang L. A next generation NC machining system based on NC feature unit and real-time tool path generation.
Int J Adv Manuf Technol,2000,16:889-901
|
被引
2
次
|
|
|
|
5.
Berger U.
An approach for a knowledge-based NC programming systemICINCO 2008: Proceedings of the fifth international conference on informatics in control, automation and robotics,2008:120-126
|
被引
1
次
|
|
|
|
6.
Wang L. Enriched machining feature-based reasoning for generic machining process sequencing.
Int J Prod Res,2006,44(8):1479-1501
|
被引
3
次
|
|
|
|
7.
Abersek B. Expert system for designing and manufacturing of a gear box.
Expert Syst Appl,1996,11(3):397-405
|
被引
2
次
|
|
|
|
8.
Balic J. Intelligent tool path generation for milling of free surfaces using neural networks.
Int J Mach Tool Manuf,2002,42:1171-1179
|
被引
1
次
|
|
|
|
9.
Chen Y. Optimal cutter selection and machining plane determination for process planning and NC machining of complex surfaces.
J Manuf Syst,1998,17(5):371-388
|
被引
2
次
|
|
|
|
10.
D'Souza R M. Automated tool sequence selection for 3-axis machining of free-form pockets.
Comput Aided Des,2004,36(7):595-605
|
被引
6
次
|
|
|
|
11.
Jensen C G. Tool selection for five-axis curvature matched machining.
Comput Aided Des,2002,34(3):251-266
|
被引
8
次
|
|
|
|
12.
Ahmad Z. Applications of genetic algorithms in process planning: tool sequence selection for 2.5-axis pocket machining.
J Intell Manuf,2010,21(4):461-470
|
被引
2
次
|
|
|
|
13.
Makhe A. Polygon subdivision for pocket machining process planning.
Comput Ind Eng,2010,58(4):709-716
|
被引
1
次
|
|
|
|
14.
Deb S. A neural network based methodology for machining operations selection in computer-aided process planning for rotationally symmetrical parts.
J Intell Manuf,2006,17:557-569
|
被引
6
次
|
|
|
|
15.
Ming X G. Intelligent approaches to tolerance allocation and manufacturing operations selection in process planning.
J Mater Process Technol,2001,117:75-83
|
被引
4
次
|
|
|
|
16.
Liu Z. Sequencing of interacting prismatic machining features for process planning.
Comput Ind,2007,58(4):295-303
|
被引
2
次
|
|
|
|
17.
Kamhaw H N. Feature sequencing in the rapid design system using a genetic algorithm.
J Intell Manuf,1996,7:56-67
|
被引
1
次
|
|
|
|
18.
Jiang C X. Optimization operation sequence in CAPP using an ant colony algorithm based on constraint matrix.
Chin J Mech Eng,2009,20(18):2203-2206
|
被引
1
次
|
|
|
|
19.
Chen J. Setup planning using Hopfield net and simulated annealing.
Int J Prod Res,1998,36(4):981-1000
|
被引
5
次
|
|
|
|
20.
Li W D. Hybrid genetic algorithm and simulated annealing approach for the optimization of process plans for prismatic parts.
Int J Prod Res,2002,40(8):1899-1922
|
被引
19
次
|
|
|
|
|