数控加工切学参数优化分析外国文献原稿.pdf

1、Advanced CNC system with in-process feed-rate optimisation Firman Ridwan a,b, Xun Xua,n aDepartment of Mechanical Engineering, University of Auckland, Auckland 1142, New Zealand bFaculty of Mechanical Engineering, Andalas University, Padang, 17163, Indonesia a r t i c l e i n f o Article history: Re

2、ceived 8 December 2011 Received in revised form 31 March 2012 Accepted 29 April 2012 Available online 17 June 2012 Keywords: Computer numerical control (CNC) STEP-NC Feed-rate optimisation Monitoring Fuzzy control a b s t r a c t Tight quality requirements and stringent customer demands are the main

3、 thrust behind the develop- ment of new generation machine tool controllers that are more universal, adaptable and interoperable. The development of some international standards such as STEP and STEP-NC presents a vision for intelligent CNC machining. Implementation of STEP-NC enabled Machine Condit

4、ion Monitoring (MCM) is presented in this paper. The system allows optimisation during machining in order to shorten machining time and increase product quality. In the system, an optiSTEP-NC, an AECopt controller and a Knowledge-Based Evaluation (KBE) module have been developed. The aim of the opti

5、STEP-NC system is to perform initial feed-rate optimisation based on STEP-NC data to assist process planners in assigning appropriate machining parameters. AECopt acts as a connector between the process planner and machining environment with the intention to provide adaptive and automatic in-process

6、 machining optimisation. KBE based-MTConnect is responsible for obtaining machining know-how. Optimisation is performed before, during or after machining operations, based on the data collected and monitored such as machining vibration, acceleration and jerk, cutting power and feed-rate. they collec

7、tively act as the backbone of the communica- tion standard. The device is referred to components such as controller, sensors and machine tool that are responsible for providing the monitored data. These data are acquired by data acquisition system and gathered by an Adapter. The Adapter is responsib

8、le for communicating and streaming it to the Agent in a standard format. The data acquisition process acts as the devices Application Programming Interface (API), with which the Adapter would communicate. The Agent then accepts the data requests from a Client application, which then returns the data

9、 in XML format. The client can then extract the data from the document and display it to the user. These data can be evaluated for more meaningful output by taking the current condition of the machine tool. 3.3.2. Data acquisition and analysis Since STEP-NC provides a rich data modelling method for

10、describing machining data, compared with a conventional NC code structure, the machining know-how under the STEP-NC system can thus be preserved for the entire product development cycle. STEP-NC is a high-level data model and its execution also requires more specifi c machining data. The KBE system

11、is responsible for three tasks: data recording, visualisation and evaluation. First, the data streamed through MTConnect is recorded in a database which can be accessed at 1. Adaptive and Manual Switch button 2. Feed Gao, Robert x (eds.)1st edition., Hardcover isbn: 978-1-84628-268-3 (2006) 5582. 2

12、Zhao F, Habeeb S, Xu X. Research into integrated design and manufacturing based on STEP. International Journal of Advanced Manufacturing Technology 2009;44(56):606624. 3 Suh SH, Chung DH, Lee BE, Cho JH, Cheon SU, Hong HD, Lee HS. Developing an integrated STEPcompliant CNC prototype. Journal of Manu

13、facturing Systems 2002;21:350362. Fig. 7. STFT representation of vibration analysis. F. Ridwan, X. Xu / Robotics and Computer-Integrated Manufacturing 29 (2013) 122019 4 Xu X, He Q. Striving for a total integration of CAD, CAPP, CAM and CNC. Robotics and Computer-Integrated Manufacturing 2004;20:101

14、109. 5 Maeder W, Nguyen J, Richard VK, and Stark J. Standardisation of the manufacturing process: the IMS STEP-NC project, IPL (National Network of Competence on Integrated Production and Logistics) Net Workshop, Saas Fee, Switzerland (2002). 6 ISO-TC184/SC1/WG7, Automation systems and integration,

15、/http:/www.iso. org/iso/standards_development/technical_committees/list_of_iso_technical_ committees/iso_technical_committee.htm?commid=54110S. 7 Wang H, Xu X, Tedford JD. An adaptable CNC system based on STEP-NC and function blocks. International Journal of Production Research 2007;45: 38093829. 8

16、Xu X. Integrating advanced computer-aided design, manufacturing, and numerical control: principles and implementations. New York: Information Science Reference IGI global; 2009. 9 Ridwan F, Xu X, Liu G. A framework for machining optimisation based on STEP-NC. Journal of Intelligent Manufacturing 201

17、2;23(3):423441. 10 Maryland-Metrics, Surface roughness tables (1998). 11 Kramer TR, Proctor F, Xu X, Michaloski JL. Run-time interpretation of STEP- NC: implementation and performance. International Journal of Computer Integrated Manufacturing 2006;19:495507. 12 Liu Y, Guo X, Li W, Yamazaki K, Kashi

18、hara K, Fujishima M. An intelligent NC program processor for CNC system of machine tools. Robotics and Computer- Integrated Manufacturing 2007;23:160169. 13 Proctor F, Michaloski J, Kramer T, A methodology for integrating sensor feedback in machine tool controllers, Robot Systems Division, National Institute of Standards and Technology Technolog