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.

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.

A Physical Machining Accuracy Predicting Model in Turning

2007 ◽  
Vol 329 ◽  
pp. 675-680 ◽  
Author(s):  
Sheng Fang Zhang ◽  
Zhi Hua Sha ◽  
Ren Ke Kang
Keyword(s):  
Manufacturing Process ◽  
Physical State ◽  
Cutting Parameters ◽  
Machining Process ◽  
Work Piece ◽  
Machining Accuracy ◽  
Predicting Model ◽  
Machining Precision ◽  
Machining Errors ◽  
Process System

During the Machining process of a part, along with the generation of new surfaces, various machining errors are produced. These machining errors depend on the characteristic of the manufacturing process system, as there are so many undetermined factors in the process system, it is very difficult to determine the machining accuracy of the workpiece. To the operator, the final accuracy of the part is very ambiguous, he can only consider the shape of the workpiece, and machining accuracy always be controlled by selecting different sets of cutting parameters. So the machining process is always time-consuming and costly. Therefore, it is very necessary to establish the accuracy predicting model to the workpiece. In this paper, According to the characteristic of turning, tool nose is abstracted into a “tangential point”, “three instantaneous centers” method is presented to get the reality shape of the workpiece. Using this method, and with the demarcating the errors in process system, the workpiece shaping model including multi-error is established. The model can not only describe the physical state of the workpiece, but also calculate the machining accuracy of the workpiece conveniently. In this paper, ‘three instantaneous centers’ method is developed to get a workpiece reality shape in turning. Using this method, the workpiece shaping model including multi-error is established. The model can not only describe the physical state of the work-piece, but also calculate the machining precision of the work-piece online.

Study on Workpiece Machining Precision PID Control Model in Closed-Loop Manufacturing Systems

2009 ◽  
Vol 419-420 ◽  
pp. 469-472 ◽  
Author(s):  
Jun Lu ◽  
Yu Mei Huang ◽  
Wen Wen Li ◽  
Yang Liu ◽  
Hua Zhong
Keyword(s):  
Pid Control ◽  
Error Compensation ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Closed Loop ◽  
Theoretical Foundation ◽  
Control Model ◽  
Machining Precision ◽  
Processing Error

In this paper, a new concept named “Closed-loop Manufacturing System” (CLMS) is proposed. The Workpiece Machining Precision PID Control Model (WMPPCM) is outlined firstly, in which PID model expressions are structured and the role of proportion, integration, differential adjustment are analyzed. Then, the experimental method of WMPPCM is established to verify the feasibility and validity of this model. In the experiment, WMPPCM could be utilized to estimate the trend of processing error so as to conduct the adjustment before production. It is also proved that WMPPCM in CLMS has a significant effect on error compensation, which builds up the theoretical foundation for paper research on CLMS in terms of WMPPCM.

Bayesian approach to measurement scheme analysis in multistation machining systems

2003 ◽  
Vol 217 (8) ◽  
pp. 1117-1130 ◽  
Author(s):  
D Djurdjanovic ◽  
J Ni
Keyword(s):  
Bayesian Approach ◽  
Machining Process ◽  
Machining Processes ◽  
Machining Errors ◽  
Machining System ◽  
Stream Of Variation ◽  
Linear State ◽  
Dimensional Errors ◽  
Scheme Analysis

Different measurement schemes in multistation machining systems carry different amounts of information about the root causes of dimensional machining errors. The choice of a measurement strategy in a multistation machining system is therefore crucial for subsequent successful identification of the machining error root causes. Recent advances in the linear state-space modelling of dimensional errors in multistation machining processes facilitate a formal and systematic characterization of measurement schemes. In this paper, the stream-of-variation methodology is employed to characterize various measurement schemes quantitatively in multistation machining systems using the Bayesian approach in statistics. Application of these methods is demonstrated in the characterization of measurement schemes in the machining process used for machining of an automotive cylinder head.

scholarly journals High-Precision Machining Method of Weak-Stiffness Mirror Based on Fast Tool Servo Error Compensation Strategy

Micromachines ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 607
Author(s):  
Zelong Li ◽  
Yifan Dai ◽  
Chaoliang Guan ◽  
Jiahao Yong ◽  
Zizhou Sun ◽  
...  
Keyword(s):  
High Precision ◽  
Error Compensation ◽  
Machining Process ◽  
Precision Machining ◽  
Fast Tool Servo ◽  
Compensation Strategy ◽  
Machined Surface ◽  
Theoretical Simulation ◽  
Machining Errors ◽  
Cutting Error

Weak-stiffness mirrors are widely used in various fields such as aerospace and optoelectronic information. However, it is difficult to achieve micron-level precision machining because weak-stiffness mirrors are hard to clamp and are prone to deformation. The machining errors of these mirrors are randomly distributed and non-rotationally symmetric, which is difficult to overcome by common machining methods. Based on the fast tool servo system, this paper proposes a high-precision machining method for weak-stiffness mirrors. Firstly, the clamping error and cutting error compensation strategy is obtained by analyzing the changing process of the mirror surface morphology. Then, by combining real-time monitoring and theoretical simulation, the elastic deformation of the weak-stiffness mirror is accurately extracted to achieve the compensation of the clamping error, and the compensation of the cutting error is achieved by iterative machining. Finally, a weak-stiffness mirror with a thickness of 2.5 mm was machined twice, and the experimental process produced a clamping error with a peak to valley (PV) value of 5.2 µm and a cutting error with a PV value of 1.6 µm. The final machined surface after compensation had a PV value of 0.7 µm. The experimental results showed that the compensation strategy proposed in this paper overcomes the clamping error of the weak-stiffness mirror and significantly reduces cutting errors during the machining process, achieving the high precision machining of a weak-stiffness mirror.

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.

Measuring Dynamic Sales Impacts of LBA Using Wireless Communication Technology

2013 ◽  
Vol 662 ◽  
pp. 896-901
Author(s):  
Zong Jin Liu ◽  
Yang Yang ◽  
Zheng Fang ◽  
Yan Yan Xu
Keyword(s):  
Wireless Communication ◽  
Error Correction ◽  
Communication Technology ◽  
Dynamic Error ◽  
Rapid Development ◽  
Vector Autoregressive ◽  
Vector Error Correction ◽  
Vector Error ◽  
Equilibrium Relationship

Because of rapid development of wireless communication technology, there is an increasing adoption of mobile advertising, such as location based advertising (LBA). To what extent can LBA improve advertising effectiveness is an important topic in the field of wireless communication technology research. Most researches quantify long term impacts of advertisings by VAR (Vector Autoregressive) model. However, compared to VAR model, VECM (Vector Error Correction Model) is a better method in that it allows one to estimate both a long-term equilibrium relationship and a short-term dynamic error correction process. In this study, we employ VECM to explore LBA’s (Location Based Advertising) and PUA’s (Pop-up Advertising) sales impact in both short and long terms. The developed VECM reveals that LBA’s sales impact is about more than2 times as big as PUA’s in short dynamic term and nearly 6 times bigger than PUA’s in long equilibrium term. These findings add to advertising and VECM literatures. These results can give managers more confident to apply wireless communication technology to advertising.

Development of STEP-NC Based Machining System for Machining Process Information Flow

2013 ◽  
Vol 315 ◽  
pp. 278-282
Author(s):  
Noordiana Kassim ◽  
Yusri Yusof ◽  
Mahmod Abd Hakim Mohamad ◽  
Mohd Najib Janon ◽  
Rafizah Mohd Hanifa
Keyword(s):  
Information Flow ◽  
Machining Process ◽  
Planning System ◽  
Specific Information ◽  
Cad Model ◽  
Machining Feature ◽  
Process Planning System ◽  
Depth Study ◽  
Cad Cam ◽  
Machining System

To realize the STEP-NC based machining system, it is necessary to perform machining feature extraction, generating machine-specific information, and creating a relationship between STEP-NC entities. A process planning system of a STEP-NC information flow that starts with constructing a machining feature from a CAD model will be developed. In this paper, a further in-depth study of the implementation and adaptation of STEP-NC in manufacturing is studied. This study will help to understand how the data from CAD/CAM can be converted into STEP-NC codes and the machining process will be based on the STEP-NC codes generated.

Experimental study on cutting factors of multi-layer machining for large aerospace thin-walled structural parts

2021 ◽  
pp. 095440892110403
Author(s):  
Hangzhuo Yu ◽  
Han Zhong ◽  
Yong Chen ◽  
Lei Lin ◽  
Jing Shi ◽  
...  
Keyword(s):  
Coordinate System ◽  
Experimental Method ◽  
Cutting Parameters ◽  
Machining Process ◽  
Machining Error ◽  
Machining Errors ◽  
Inner Surface ◽  
Thin Walled ◽  
Optimal Cutting Parameters ◽  
Cutting Path

Large aerospace thin-walled structures will produce deformation and vibration in the machining process, which will cause machining error. In this paper, a cutting experimental method based on multi-layer machining is proposed to analyze the influence of cutting tool, cutting path, and cutting parameters on machining error in order to obtain the optimal cutting variables. Firstly, aiming at the situation that the inner surface of the workpiece deviates from the design basis, the laser scanning method is used to obtain the actual shape of the inner surface, and the method of feature alignment is designed to realize the unification of the measurement coordinate system and machining coordinate system. Secondly, a series of cutting experiments are used to obtain the machining errors of wall thickness under different cutting tools, cutting paths, and cutting parameters, and the variation of machining errors is analyzed. Thirdly, a machining error prediction model is established to realize the prediction of machining error, and the multi-objective optimization method is used to optimize the cutting parameters. Finally, a machining test was carried out to validate the proposed cutting experimental method and the optimal cutting parameters.

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