Error Compensation of a NC Machining System Based on a Dynamic Feedback Neural Network

2011 ◽  
Vol 52-54 ◽  
pp. 1890-1894 ◽  
Author(s):  
Huang Lin Zeng ◽  
Yong Sun ◽  
Xiao Hong Ren ◽  
Li Xin Liu
Keyword(s):  
Neural Network ◽  
Error Compensation ◽  
Nc Machining ◽  
Machining Process ◽  
Dynamic Feedback ◽  
Machining System ◽  
Nc Machine ◽  
Feedback Neural Network ◽  
Set Up ◽  
Errors Analysis

Machining error of a NC machining system is a kind of comprehensive error in dynamically machining process; especially it is of errors with non-linear characteristics. In this paper, we will set up a kind of model of comprehensive errors analysis for a NC machining system and present an error compensation for high-precision a NC machining system by a dynamic feedback neural network embedded in a NC machine tool. The results obtained shows that this approach can effectively improve compensation precision and real time of error compensation on machine tools.

Error Compensation on a NC-Machine Tool Based on Integrated Intelligent Computation

2011 ◽  
Vol 121-126 ◽  
pp. 1436-1442
Author(s):  
Huang Lin Zeng ◽  
Yong Sun ◽  
Xiao Hong Ren ◽  
Li Xin Liu
Keyword(s):  
Neural Network ◽  
Machine Tool ◽  
Error Compensation ◽  
Ant Colony Algorithm ◽  
Rough Set Theory ◽  
Dynamic Feedback ◽  
Standard Equipment ◽  
Nc Machine Tool ◽  
Nc Machine ◽  
Feedback Neural Network

This paper is a study of the application of integrated intelligent computation to solve the problems of error compensation for high-precision a NC machining system. The primary focus is on the development of integrated intelligent computation approach to get an error compensation system which is a dynamic feedback neural network embedded in a NC machine tool. Optimization of error measurement points of a NC machine tool is realized by way of application of error variable attribute reduction on rough set theory. A principal component analysis is used for data compression and feature extraction to reduce the input dimension of a dynamic feedback neural network and reduce training time of the network. Taking advantage of ant colony algorithm on training of a dynamic feedback neural network does the global search so that network can converge to get a global optimum. Positioning error caused in thermal deformation compensation capabilities were tested using industry standard equipment and procedures. The results obtained shows that this approach can effectively improve compensation precision and real time of error compensation on machine tools.

Application Analysis of Virtual Simulation Technology in NC Machining

2013 ◽  
Vol 579-580 ◽  
pp. 331-334
Author(s):  
Xiu Yang Hu ◽  
Yong Xiang Li ◽  
Hong Wang ◽  
Kai Long Huang
Keyword(s):  
Nc Machining ◽  
Simulation System ◽  
Virtual Simulation ◽  
Machining Process ◽  
Simulation Technology ◽  
Integrated Simulation ◽  
Virtual Machining ◽  
Machining Process Simulation ◽  
Machining System ◽  
Nc Machine

With the help of the computer simulation technology, the virtual machining simulation system of NC machine tool was built based on the integrated simulation module of the UG NX software. Through setting the NC machine parameter of the virtual machining system, the machining process simulation of the typical parts in virtual environment was completed, which implements the collision and interference checking in the process of NC machining and verifies the correctness of NC programs. Finally, the simulation results prove that the assembly modeling method of virtual simulation system for the NC machining is feasible, and the simulation of machining process can effectively determine the mutual interference problem of the machining system, which lays the foundation for effectively preventing the collision accident.

Error Model for Grinding of Noncoaxial Aspheric Based on Kinematics for Multi-Body System

2012 ◽  
Vol 482-484 ◽  
pp. 1184-1187 ◽  
Author(s):  
Chen Jiang ◽  
De Bao Guo ◽  
Hao Lin Li
Keyword(s):  
Error Compensation ◽  
Machining Process ◽  
Body System ◽  
Factors Affecting ◽  
System A ◽  
Machining System ◽  
Ultra Precision ◽  
Multi Body ◽  
Errors Analysis ◽  
Parallel Grinding

The error compensation is an essential issue for improving the accuracy of the machining process. To solve the error compensation for parallel grinding of the noncoaxial aspheric lens, a kinematics model of six-axis ultra-precision machining system has been developed in the present study. Based on the theory of multi-body system, a kinematics errors analysis is presented. The interpolation errors of the parallel grinding method are discussed according to the kinematics errors analysis. Simulation results show that the rotation errors of the grinding system are crucial factors affecting the accuracy of the machining process.

Based on the Nc Machining System Error Aspheric Analysis and Research

2011 ◽  
Vol 383-390 ◽  
pp. 7649-7653
Author(s):  
Hong Ying Wang ◽  
Xue Me Hu
Keyword(s):  
Error Compensation ◽  
Dynamic Error ◽  
Machining Process ◽  
System Error ◽  
Machining Precision ◽  
Processing Error ◽  
Machining Errors ◽  
Machining System ◽  
Forward Process

From the machining errors and static dynamic error influence two aspects are discussed in this paper, the analysis of machining process on the processing precision influence of error, puts forward process design. Long-term since, improving precision machine tool is through the two methods: error and avoid error compensation. Avoid error is a "hard", focusing on design and processing in the error may eliminate all stages. And error compensation in existing machine, can work environment to further improve the machining precision, it is a kind of economic effectively improve the machining precision of the method. For error analysis and calculation, the ultimate goal is to eliminate and reduce processing error, the improvement of the machining errors of classification in many ways. According to the machining process of the factors causing error to occur any regularity, processing error into system error and the random error, According to the nature of the changes with time, and can be divided into static error and dynamic error.

scholarly journals Regular Neural Network Based Machining Parameters Optimization Model Of NC Machine Tool

2018 ◽  
Vol 232 ◽  
pp. 01006
Author(s):  
Sanping Wang ◽  
Junwen Chen ◽  
Wei Yan
Keyword(s):  
Neural Network ◽  
Energy Efficiency ◽  
Energy Consumption ◽  
Machine Tool ◽  
Process Parameters ◽  
Machine Tools ◽  
Machining Process ◽  
Machining Parameters ◽  
Nc Machine Tool ◽  
Nc Machine

Energy consumption process is the basis for energy efficiency improvement of machine tools. Most of the existing researches focus on the static modelling of energy consumption of a machine tool; however, there are a few studies that paid attention to that how process parameters influence the energy consumption of machine tools during processing. It is noted that the process parameters can be selected to reduce energy consumption during machining processes without additional investment. In this paper, a characteristic energy consumption model for NC machine tool was proposed. Then, the mapping rule between process parameters and energy consumption of machine tool was studied, and the model was solved with the regular neural network (RNN). Finally, the result was verified with an experiment of milling the surface of aluminium block, which can effectively improve the energy efficiency of machine tool. The experiment results are shown that regular neural network is used to optimize the process parameters and process the same machining characteristics; we analyze the in machining process of machine tool based on the three cutting parameters, and then, a model of energy consumption. We employ to learn, and use this trained model to select optimal parameters.

An Industrial Robot System for Pocket Machining of Large Size Engine Cylinder Covers

2011 ◽  
Author(s):  
T. Y. Noh ◽  
C. W. Jung
Keyword(s):  
Industrial Robot ◽  
Machining Process ◽  
Robot System ◽  
Pocket Machining ◽  
Surface Machining ◽  
Large Size ◽  
Engine Cylinder ◽  
Machining System ◽  
Nc Machine ◽  
Overlay Welding

Inside of the cylinder cover for a large size engine, several specific areas are required to have endurable property for high temperature, high pressure and corrosion attack. For this purpose, the surface should be machined to the shape of a pocket and covered with inconel overlay welding. This paper represents the machining process using an industrial robot system, which can replace an expensive NC machine for the surface machining process. It also describes that how the robot generates its path from the CAD data and compensates its position with a laser distance sensor. The pocket machining system incorporating an industrial robot was successfully developed and can cover various engine types efficiently in this field.

Modelling and real-time compensation of cutting-force-induced error on a numerical control twin-spindle lathe

2009 ◽  
Vol 224 (4) ◽  
pp. 567-577 ◽  
Author(s):  
H Wu ◽  
H J Chen ◽  
P Meng ◽  
J G Yang
Keyword(s):  
Neural Network ◽  
Cutting Force ◽  
Real Time ◽  
Bp Neural Network ◽  
Machine Tools ◽  
Error Model ◽  
Numerical Control ◽  
Machining Process ◽  
Nc Machine ◽  
Nc Machine Tools

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.

The Development of Virtual Machining System Based on ACIS

2007 ◽  
Vol 10-12 ◽  
pp. 860-863
Author(s):  
J. Wu ◽  
Ying Xue Yao ◽  
J.G. Li
Keyword(s):  
Process Simulation ◽  
Manufacturing Industry ◽  
Machining Process ◽  
Virtual Machining ◽  
Nc Machine Tool ◽  
Machining Process Simulation ◽  
Machining System ◽  
Nc Machine ◽  
Swept Volume ◽  
High Degree

The NC machine tool is widely used in today's manufacturing industry. In this paper, a framework of the NC lathing dynamic simulation system is presented and the machining process simulation is developed based on the solid modeling method with ACIS geometric engine and 3D graphic display. The tool swept volume is designed and Boolean difference of the cutter swept volume with the raw stock in the system is calculated. The user or trainee can practice all operations, procedures and skills in complete safety, while maintaining a high degree of realism.

Approach to Machining Setup Process Planning of NC Machine Tools Based on Graph Theory

2012 ◽  
Vol 542-543 ◽  
pp. 1190-1195 ◽  
Author(s):  
Guo Zheng Zhang ◽  
Jiang Han ◽  
You Yu Liu
Keyword(s):  
Graph Theory ◽  
Process Planning ◽  
Machine Tools ◽  
Nc Machining ◽  
Numerical Control ◽  
Machining Process ◽  
Fixture Design ◽  
Nc Machine ◽  
Nc Machine Tools ◽  
Machining Process Planning

Setup datum of fixture design is an important factor of Numerical Control (NC) machining process planning. Using graph theory of FTG (Feature Tolerance relationship Graph) and DMG (Datum and Machining feature relationship Graph) technology, the feature relationship was proposed to construct a relational table of DMMT (Datum and Machining and Machine Tools) in NC machining setup process. The degree of graph as a discriminant evidence of the machining setup datum was given, so that the machining setup process planning was correctly designed. Combined with the capability of NC machine tools, the unit normal vector of feature facet between the feature datum and machining facet were multiplied to determine the fixture capability, which provide a reasonable proposal of machining setup process for multi-position rotation and multi-piece fixture design. Finally, a case study of machining setup process planning and multi-piece fixture equipment design from corporation was presented to verify the feasibility of the method that was based on the graph theory.

Method of Volumetric Error Compensation for 3-Axis NC Machine Tool

2012 ◽  
Vol 472-475 ◽  
pp. 2371-2376 ◽  
Author(s):  
Jin Dong Wang ◽  
Jun Jie Guo ◽  
Yu Fen Deng ◽  
Hai Tao Li
Keyword(s):  
Machine Tool ◽  
Error Compensation ◽  
Geometric Error ◽  
Machining Process ◽  
Laser Tracker ◽  
Machining Accuracy ◽  
Volumetric Error ◽  
Nc Machine Tool ◽  
Nc Machine ◽  
G Code

Error compensation is an effective method to improve the machining accuracy of NC machine tool. A laser tracker is used to rapidly and accurately detect the geometric error of NC machine tool in the paper. The machine tool is controlled to move on the preset path in the space, and a laser tracker is used to measure the motion trajectory of the machine tool. Each geometric error can be identified by error separation. Based on the error model of 3-axis machine tool, error compensation can be carried out by modifying the machining process (G code). Results of experiment show that, this measurement method is feasible, and modifying the G code for error compensation is also effective.

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