scholarly journals Research on the peak prediction and intelligent computing of reversal error for the tilt feed system installed on the precision machine tools

2021 ◽  
Vol 2083 (4) ◽  
pp. 042023
Author(s):  
Bin Feng ◽  
ManZhi Yang ◽  
Meng Dang
Keyword(s):  
Prediction Method ◽  
Static Friction ◽  
Friction Torque ◽  
Good Prediction ◽  
Feed System ◽  
Intelligent Computing ◽  
Nc Machine Tool ◽  
Reversal Error ◽  
Nc Machine ◽  
Precision Machine Tools

Abstract To effectively predict the peak of reversal error of tilt feed system and reduce reversal error caused by friction and gravity components, a peak prediction method of reversal error for tilt feed system on the precision NC machine tool is proposed. According to the load, tilt angle, motion trajectory, maximum static friction torque and relevant dynamic characteristic information, the peak prediction formula of the reversal error for the tilt feed system is established by mathematical derivation based on the kinematics, dynamics and torque balance during the process of reversal. Thus, the peak of reversal error for the tilt feed system can be obtained. The experimental results show that this method can achieve a good prediction effect, and can predict the peak of reversal error before the machining. It provides a theoretical basis for the reversal error suppression.

Numerical Control Machine Tool Motion Simulation and Analysis of Parts of the Crawling Phenomenon

2014 ◽  
Vol 971-973 ◽  
pp. 592-595 ◽  
Author(s):  
Ming Yin ◽  
Wen Tong Cheng ◽  
Li Juan Bai ◽  
Lan Lan Guo
Keyword(s):  
Machine Tool ◽  
Numerical Control ◽  
Mechanical Transmission ◽  
Feed System ◽  
Control Machine Tool ◽  
Nc Machine Tool ◽  
Dynamic Friction Coefficient ◽  
Damped Oscillations ◽  
Nc Machine ◽  
Tool Motion

NC machine creeping failure usually occurs in the mechanical part and feed servo system of NC machine tool feed system, because of low speed creeping phenomenon often depends on the characteristics of mechanical transmission parts. Crawling is generally due to transmission of machine tool stiffness is insufficient, friction and dynamic friction coefficient difference and friction damped oscillations caused by too small. This paper establishes the physical model and the mathematical model, through theoretical analysis and numerical simulation of machine movement components that crawl main reason, put forward to prevent the moving parts of the main measures of creeping.

The Influence and Suppression of Nonlinear Friction

2013 ◽  
Vol 753-755 ◽  
pp. 1760-1763
Author(s):  
Jian Jun Yang ◽  
Qin Wu ◽  
Chun Li Lei ◽  
Rui Cheng Feng
Keyword(s):  
Machine Tool ◽  
Control Method ◽  
Nonlinear Friction ◽  
Feed System ◽  
Positioning Accuracy ◽  
Nc Machine Tool ◽  
Nc Machine ◽  
Main Factors ◽  
And Control

Direct at NC machine tool feed system, the article analyzed the influence of the nonlinear friction at each motion joint, and points out that the nonlinear friction are the main factors that influence the positioning accuracy of the feed system. The article have discussed the methods for effectively compensation and controlling of the nonlinear friction respectively from two aspects of flutter compensation and predictly controlling the nonlinear friction, and proved the correctness of the compensation and control method that is proposed in this paper.

Thermal Error Compensation on Boring & Milling Machining Center Feed System Based on PMAC

2014 ◽  
Vol 945-949 ◽  
pp. 1669-1672
Author(s):  
Jun Sun ◽  
Xing Liu ◽  
Zhi Xuan Li
Keyword(s):  
Real Time ◽  
Error Compensation ◽  
Tool Path ◽  
Thermal Error ◽  
Machining Accuracy ◽  
Feed System ◽  
Nc Machine Tool ◽  
Machining Center ◽  
Nc Machine ◽  
Processing Accuracy

Aiming to deal with thermal error of NC machine tool which can cause reduce of machining accuracy, this paper uses an external error compensation which interacts with NC controllers and PMAC multi-axis and then revises the tool path by adding the error tested in real-time by PMAC card. The processing accuracy is improved eventually. This method can compensate machine geometric errors and thermal errors in real-time. Comparing with other methods of error preventing, this method is more effective and affordable.

Analysis and Optimization Design of Self Magnetic-Suspension Permanent Magnet Linear Synchronous Motor

2011 ◽  
Vol 383-390 ◽  
pp. 4762-4767
Author(s):  
Wu Zhang ◽  
Yi Peng Lan ◽  
Feng Ge Zhang
Keyword(s):  
Permanent Magnet ◽  
Optimization Design ◽  
Synchronous Motor ◽  
Magnetic Suspension ◽  
Feed System ◽  
Nc Machine Tool ◽  
Linear Synchronous Motor ◽  
Nc Machine ◽  
Christoffel Transformation ◽  
The Magnetic Field

In order to eliminate the friction force of linear motor nc machine tool feed system and improve the machining precision, a new Self Magnetic-Suspension Permanent Magnet Linear Synchronous Motor(PMLSM)is putted forward in this paper, which can generate the suspending power by itself. In this paper, the magnetic field distribution is calculated by means of equivalent magnetizing current and Schwarz-christoffel transformation, and is further analyzed and verified by using Finite Element Method. Furthermore, the method of optimizating the length of the primary iron-cored is adopted to design the motor. The experimental results shows that self magnetic suspension -PMLSM can generate thrust and suspending force separately, and the thrust and suspending force are improved by applying optimized method.

Fuzzy Evaluation and Modeling of Positioning Error of NC Machine Tool Feed System

2014 ◽  
Vol 536-537 ◽  
pp. 1607-1611
Author(s):  
Ming De Duan ◽  
Jia Jia Gu ◽  
Kang Hua Liu ◽  
Xiao Xiao Ji ◽  
Yu Ping Wang
Keyword(s):  
Mathematical Model ◽  
Machine Tool ◽  
High Speed ◽  
Evaluation Method ◽  
Fuzzy Comprehensive Evaluation ◽  
Fuzzy Evaluation ◽  
Positioning Error ◽  
Feed System ◽  
Nc Machine Tool ◽  
Nc Machine

With the experimental data of positioning precision of high-speed precision NC machine tool, a linear mathematical model of positioning error is established. Based on gray model and Cauchy problem formula, a nonlinear mathematical model is also established. The two models are evaluated by fuzzy comprehensive evaluation method to find the optimal prediction model. Compensated with a selection of positioning error compensation model, the confidence interval of 0.95 of positioning error is less than 3μm, meets the design requirements of the machine tool.

scholarly journals Predicting drug–target interactions Based on the Ensemble Models of Multiple Feature Pairs

2021 ◽  
Vol 22 (12) ◽  
pp. 6598
Author(s):  
Cheng Wang ◽  
Jun Zhang ◽  
Peng Chen ◽  
Bing Wang
Keyword(s):  
Drug Target ◽  
Essential Feature ◽  
Characteristic Curve ◽  
Prediction Method ◽  
New Drugs ◽  
Good Prediction ◽  
Ensemble Model ◽  
Test Set ◽  
Multiple Feature ◽  
Validation Set

Backgroud: The prediction of drug–target interactions (DTIs) is of great significance in drug development. It is time-consuming and expensive in traditional experimental methods. Machine learning can reduce the cost of prediction and is limited by the characteristics of imbalanced datasets and problems of essential feature selection. Methods: The prediction method based on the Ensemble model of Multiple Feature Pairs (Ensemble-MFP) is introduced. Firstly, three negative sets are generated according to the Euclidean distance of three feature pairs. Then, the negative samples of the validation set/test set are randomly selected from the union set of the three negative sets in the validation set/test set. At the same time, the ensemble model with weight is optimized and applied to the test set. Results: The area under the receiver operating characteristic curve (area under ROC, AUC) in three out of four sub-datasets in gold standard datasets was more than 94.0% in the prediction of new drugs. The effectiveness of the proposed method is also shown with the comparison of state-of-the-art methods and demonstration of predicted drug–target pairs. Conclusion: The Ensemble-MFP can weigh the existing feature pairs and has a good prediction effect for general prediction on new drugs.

Model Research on Special Metal Cutting NC Machine Tool

2007 ◽  
Vol 10-12 ◽  
pp. 806-811
Author(s):  
Tong Zhao ◽  
P.Q. Ye ◽  
H. Zhang ◽  
X.K. Wang
Keyword(s):  
Machine Tool ◽  
Metal Cutting ◽  
Relation Module ◽  
Nc Machine Tool ◽  
Model Research ◽  
Unit Model ◽  
Proposed Model ◽  
Control Research ◽  
Function Unit ◽  
Nc Machine

In this paper the model of special metal cutting NC machine Tool is presented, which consists of a base module, an overall control module, particular functional modules as well as a relation module. Each module involved in aforementioned model will be composed by software, hardware and mechanical parts, so as to combine the convergence of the ideas of modularization and mechanical-electrical integration into current understanding of special NC machine tool through the proposed model. Specially, the relation module is introduced to deal with the linking among all the other modules. The presented model aims to broaden the perspective of machine designers intending to increase the efficiency in machine design. By giving the so-called function unit model a novel modeling approach is delivered to carry out control research of special metal cutting NC machine, which is followed by the formalization description method presented as a possible abstraction methodology towards the efficient description and identification of special metal cutting NC machine tool.

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