scholarly journals Implementation of Real-Time Machining Process Control Based on Fuzzy Logic in a New STEP-NC Compatible System

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Po Hu ◽  
Zhenyu Han ◽  
Yunzhong Fu ◽  
Hongya Fu

Implementing real-time machining process control at shop floor has great significance on raising the efficiency and quality of product manufacturing. A framework and implementation methods of real-time machining process control based on STEP-NC are presented in this paper. Data model compatible with ISO 14649 standard is built to transfer high-level real-time machining process control information between CAPP systems and CNC systems, in which EXPRESS language is used to define new STEP-NC entities. Methods for implementing real-time machining process control at shop floor are studied and realized on an open STEP-NC controller, which is developed using object-oriented, multithread, and shared memory technologies conjunctively. Cutting force at specific direction of machining feature in side mill is chosen to be controlled object, and a fuzzy control algorithm with self-adjusting factor is designed and embedded in the software CNC kernel of STEP-NC controller. Experiments are carried out to verify the proposed framework, STEP-NC data model, and implementation methods for real-time machining process control. The results of experiments prove that real-time machining process control tasks can be interpreted and executed correctly by the STEP-NC controller at shop floor, in which actual cutting force is kept around ideal value, whether axial cutting depth changes suddenly or continuously.

Author(s):  
Yaoyao F. Zhao ◽  
Xun W. Xu ◽  
Sheng Q. Xie ◽  
Tom R. Kramer ◽  
Fred M. Proctor ◽  
...  

Inspection is an essential part of the entire manufacturing chain providing measurement feedback to the process planning system. Fully automated machining requires automatic inspection process planning and real-time inspection results feedback. As inspection process planning is still based on G&M codes containing low-level information or vendor-specific bespoke routines, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards STEP and STEP-NC providing high-level product information for the entire manufacturing chain, it is achievable to combine machining and inspection process planning to generate optimal machining and inspection sequences with real-time measurement results feedback. This paper introduces an integrated process planning system architecture for combined machining and inspection. In order to provide real-time inspection feedback, On-Machine Inspection (OMI) is chosen to carry out inspection operations. Implementation of the proposed architecture has been partially carried out with a newly developed data model and interpreter software. A case study was carried out to test the feasibility of the proposed architecture.


Author(s):  
H Wu ◽  
H J Chen ◽  
P Meng ◽  
J G Yang

Cutting-force-induced errors are one of the major sources of error in numerical control (NC) machine tools. The error compensation technique is an effective way to improve the manufacturing accuracy of NC machine tools. Effective compensation relies on an accurate error model that can predict the errors exactly during the machining process. In the present paper a robust and accurate cutting-force-induced error model is built using a back-propagation (BP) neural network and a genetic algorithm (GA) for an NC twin-spindle lathe. The GA—BP neural network modelling technique not only enhances the prediction accuracy of the model but also reduces the training time of the BP neural network. A real-time compensation system of the cutting-force-induced error on the lathe is developed based on the cutting-force-induced error model. The errors were reduced by about 38 per cent after real-time compensation in a machining experiment.


2011 ◽  
Vol 223 ◽  
pp. 85-92 ◽  
Author(s):  
Balázs Tukora ◽  
Tibor Szalay

In this paper a new method for instantaneous cutting force prediction is presented, in case of sculptured surface milling. The method is executed in a highly parallel manner by the general purpose graphics processing unit (GPGPU). As opposed to the accustomed way, the geometric information of the work piece-cutter touching area is gained directly from the multi-dexel representation of the work-piece, which lets us compute the forces in real-time. Furthermore a new procedure is introduced for the determination of the cutting force coefficients on the basis of measured instantaneous or average orthogonal cutting forces. This method can determine the shear and ploughing coefficients even while the cutting geometry is continuously altering, e.g. in the course of multi-axis machining. In this way the cutting forces can be predicted during the machining process without a priori knowledge of the coefficients. The proposed methods are detailed and verified in case of ball-end milling, but the model also enables the applying of general-end cutters.


1996 ◽  
Vol 118 (4) ◽  
pp. 514-521 ◽  
Author(s):  
Y. Altintas¸ ◽  
W. K. Munasinghe

Modular integration of sensor based milling process monitoring and control functions to a proposed CNC system architecture is presented. Each sensor based process control algorithm resides in a dedicated processor in the AT bus with a modular software. The CNC system’s motion control module has been designed to accomodate rapid manipulation of feeds, cutting conditions and NC tool path which may be demanded by machining process control modules in real time. Modular integration of adaptive control of cutting forces, tool condition monitoring, chatter detection and suppression tasks are illustrated as examples. The process control and monitoring modules are serviced in the real-time multi-tasking environment within one millisecond time intervals without disturbing the position control system. The paper present constraints and guidelines in designing CNC systems which allow modular integration of user developed real time machining process control and monitoring applications.


2009 ◽  
Vol 16-19 ◽  
pp. 896-899 ◽  
Author(s):  
Jun Wang ◽  
Qi Lin Shu

In this paper, we present a conceptual framework for designing and implementing an intelligent CNC system. The architecture and functional modules are derived from requirement analysis, and they are designed to have a thinking capability before, during, and after the execution of the manufacturing task, so that the assigned task can be effectively executed while dealing with unexpected changes occurring on the shop floor. Also, the data model for supporting the architecture is addressed based on the STEP-NC data model or ISO 14649. The framework presented can be used as a paradigm for new generation intelligent STEP-compliant CNC.


Author(s):  
Yaoyao F. Zhao ◽  
Xun W. Xu ◽  
Sheng Q. Xie

Closed-Loop Manufacturing (CLM) techniques include machine tool self-checks, automated setups, tool measurement, in-process probing with process adjustment, on-machine final inspection, data collection and data analysis. All of these elements and more are utilized to collect data in a mostly automated fashion to subsequently correct and adjust undesired conditions that can affect part quality. Inspection process planning plays an essential part of CLM. As G&M codes that contains low-level information or vendor-specific bespoke routines is the primary programming language, inspection process planning is mostly isolated from machining process planning. With the development of new data model standards such as STEP and STEP-NC providing high-level product information for the entire manufacturing chain, it is conceivable that both machining and inspection process planning are considered hand-in-hand to generate optimal machining and inspection sequences with real-time measurement feedback for the CLM scenario. This paper introduces an reactive process planning system architecture that incorporates machining, inspection, and feedback. In order to provide real-time inspection feedback, On-Machine Measurement (OMM) is chosen to carry out inspection operations. Implementation of the proposed architecture has been partially carried out with newly developed data model and interpreter. A case study testified the feasibility of the proposed architecture.


2011 ◽  
Vol 66-68 ◽  
pp. 659-664
Author(s):  
Jie Li ◽  
Rui Feng Guo ◽  
Zhi Xiang Shao ◽  
Shang Bin Wang

After the virtual NC real-time machining process control technology is studied, we design the NC code interpreter using the pipeline control method of overlapped resources in this paper. In order to improve the availability of interpreter, the design adopts the function pointer array and expression evaluation algorithm. By using two methods, the scalability is enhanced. Also the versatility is improved by using keywords information table to some extent. The system achieves a straight line and arc of the trajectory interpolation by the digital sampling algorithm and makes the efficiency improved by using RCS communication mechanism, windows thread and timing mechanism.


1994 ◽  
Vol 04 (C4) ◽  
pp. C4-65-C4-68
Author(s):  
M. IGNATIEV ◽  
L. OKOROKOV ◽  
I. SMUROV ◽  
V. MARTINO ◽  
G. BERTOLON ◽  
...  

2015 ◽  
Vol 9 (4) ◽  
pp. 403-410 ◽  
Author(s):  
Tomoya Hida ◽  
◽  
Tetsuya Asano ◽  
Kazuhiro Nishita ◽  
Norio Sakai ◽  
...  

In recent years, 5-axis machine and multi-tasking machine have seen wide spread use. These tools can contribute to the enhancement of machining efficiency and precision. Conversely, their complex motion can cause numerous collision accidents between machines, tools, materials, and other parts. To prevent such accidents, it is now common to verify numerical control (NC) data using a machine motion simulator before performing the actual machining. However, the actual machining process is not always conducted in the expected manner. In some cases, the machining process is manually defined or altered, possibly causing a collision accident. In the present study, an online real-time collision free system was developed for the prevention of unexpected collisions. The effects of using this system are described in this article.


2010 ◽  
Vol 439-440 ◽  
pp. 1499-1504
Author(s):  
Ai Jing Fan ◽  
Ai Wan Fan

Computers widely used in the field of real time process control, and it's very necessary to pay more attention in the field. In this article, real-time data model, real-time data mining environment and the computing characteristics are analyzed .Based on investigating the development of a general purpose methodology for real-time data mining, we propose a novel supporting framework. The framework adopts a novel dynamic data mining process model.


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