scholarly journals Prediction of Abrasive Belt Wear Based on BP Neural Network

Machines ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 314
Author(s):  
Yuanxun Cao ◽  
Ji Zhao ◽  
Xingtian Qu ◽  
Xin Wang ◽  
Bowen Liu
Keyword(s):  
Neural Network ◽  
Wear Rate ◽  
Contact Pressure ◽  
Bp Neural Network ◽  
Abrasive Particle ◽  
Work Piece ◽  
Grinding Process ◽  
Belt Grinding ◽  
Abrasive Belt ◽  
Grinding Speed

Abrasive belt grinding is the key technology in high-end precision manufacturing field, but the working condition of abrasive particles on the surface of the belt will directly affect the quality and efficiency during processing. Aiming at the problem of the inability to monitor the wearing status of abrasive belt in real-time during the grinding process, and the challenge of time-consuming control while shutdown for detection, this paper proposes a method for predicating the wear of abrasive belt while the grinding process based on back-propagation (BP) neural network. First, experiments are carried out based on ultra-depth-of-field detection technology, and different parameter combinations are used to measure the degree of abrasive belt wear. Then the effects of different grinding speeds, different contact pressures, and different work piece materials on the abrasive belt wear rate are obtained. It can be concluded that the abrasive belt wear rate gradually increases as the grinding speed of the abrasive belt increases. With the increase of steel grade, the hardness of the steel structure increases, which intensifies the abrasive belt wear. As the contact pressure increases, the pressure on a single abrasive particle increases, which ultimately leads to increased wear. With the increase of contact pressure, the increase of the wear rate of materials with higher hardness is greater. By utilizing the artificial intelligence BP neural network method, 18 sets of experiment data are used for training BP neural network while 9 sets of data are used for verification, and the nonlinear mapping relationship between various process parameter combinations such as grinding speed, contact pressure, workpiece material, and wear rate is established to predict the wear degree of abrasive belt. Finally, the results of verification by examples show that the method proposed in this paper can fulfill the purpose of quickly and accurately predicting the degree of abrasive belt wear, which can be used for guiding the manufacturing processing, and greatly improving the processing efficiency.

Experiment and Surface Roughness Prediction Model for Ti-6Al-4V in Abrasive Belt Grinding

2016 ◽  
Vol 1136 ◽  
pp. 42-47 ◽  
Author(s):  
Ya Xiong Chen ◽  
Yun Huang ◽  
Gui Jian Xiao ◽  
Gui Lin Chen ◽  
Zhi Wu Liu ◽  
...  
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Great Influence ◽  
Grinding Force ◽  
Work Piece ◽  
Belt Grinding ◽  
Abrasive Belt ◽  
Belt Speed ◽  
Feeding Speed

In abrasive belt grinding, abrasive belt granularity, abrasive belt speed,feeding speed and grinding force have a great influence on the surface roughness. In order to predicate the surface roughness of Ti-6Al-4V,a response surface methodology are used to build the model to predict surface roughness,and the influence of various parameters on surface roughness was analysed. The research shows that with the abrasive belt granularity and abrasive belt speed increasing,the work piece surface roughness decreases;with the grinding force and feeding speed increasing,the work piece surface roughness increases. Through the test,the response surface methodology with high prediction accuracy,provides a theoretical basis for the reasonable selection of abrasive belt grinding parameters.

Research on the Key Technology of NC Abrasive Belt Grinding for the Leading and Trailing Edges of Aeroengine Blades

2012 ◽  
Vol 565 ◽  
pp. 76-81 ◽  
Author(s):  
Yun Huang ◽  
Xiao Xiao Ye ◽  
Ming De Zhang ◽  
Hong Wen Fang
Keyword(s):  
Control Method ◽  
Dimensional Accuracy ◽  
Pressure Control ◽  
Grinding Process ◽  
Belt Grinding ◽  
Key Technology ◽  
Abrasive Belt ◽  
Model Research ◽  
Trailing Edges ◽  
Blade Machining

This document provides an analysis of the structure characteristics and grinding process requirements of leading and trailing edges, and proposes a grinding process of leading and trailing edges, established a uneven grinding margin model, research the quantitative grinding pressure control method of uneven margin, as well as the error compensation technology of blade machining deformation, and experiments were carried out on the basis of theories above. The experimental results demonstrate that: after grinding, the edge roundness improved greatly, dimensional accuracy of edge radius can reach ±0.07mm.Compared with the traditional manual polishing method, the grinding quality improved significantly.

Investigation of the effect of abrasive belt constant force grinding based on mechanical decoupling tool system

2020 ◽  
pp. 095440542094937
Author(s):  
Guohong Xie ◽  
Ji Zhao ◽  
Xin Wang ◽  
Huan Liu ◽  
Yan Mu ◽  
...  
Keyword(s):  
Control System ◽  
Force Control ◽  
Normal Force ◽  
Decoupling Control ◽  
Grinding Process ◽  
Constant Force ◽  
Belt Grinding ◽  
Abrasive Belt ◽  
Coupling System ◽  
Mechanical Decoupling

In the abrasive belt grinding process, there are factors affecting the machining stability, efficiency, and quality. Based on the analysis of the grinding process, the normal force in the contact area between the abrasive belt and the workpiece is a major factor. By comparing constant force and non-constant force grinding, the results imply that keeping the grinding force constant will achieve desired material removal and better surface quality. The phenomenon of over- and under-cutting of the workpieces can also be avoided by a constant normal force. In this article, a controllable and flexible belt grinding mechanism accompanied with a mechanical decoupling control strategy is built and tested. Afterward, a detailed comparison is made between the traditional force-position coupling system and the proposed decoupling control system. The proposed control system suppresses the interference between the position and force control systems. The contact force is directly measured and controlled without detecting the position of other components in the tool system. The complexity of the control system is thereby reduced. Finally, several grinding experiments are carried out. The standard deviation and coefficient of variation of the measured normal force are kept within 0.25 and 0.02, respectively. The experiment results reveal that the mechanical decoupling system performs well in force control compared with the traditional force-position coupling system. In addition, the surface roughness Ra < 0.4 μm, the surface quality of the workpiece is improved significantly with the constant force controller.

scholarly journals Modelling of Material Removal in Abrasive Belt Grinding Process: A Regression Approach

Symmetry ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 99 ◽  
Author(s):  
Vigneashwara Pandiyan ◽  
Wahyu Caesarendra ◽  
Adam Glowacz ◽  
Tegoeh Tjahjowidodo
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Material Removal ◽  
Grit Size ◽  
Support Vector ◽  
Grinding Process ◽  
Belt Grinding ◽  
Abrasive Belt ◽  
Taguchi Design Of Experiments ◽  
Material Removal Model

This article explores the effects of parameters such as cutting speed, force, polymer wheel hardness, feed, and grit size in the abrasive belt grinding process to model material removal. The process has high uncertainty during the interaction between the abrasives and the underneath surface, therefore the theoretical material removal models developed in belt grinding involve assumptions. A conclusive material removal model can be developed in such a dynamic process involving multiple parameters using statistical regression techniques. Six different regression modelling methodologies, namely multiple linear regression, stepwise regression, artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), support vector regression (SVR) and random forests (RF) have been applied to the experimental data determined using the Taguchi design of experiments (DoE). The results obtained by the six models have been assessed and compared. All five models, except multiple linear regression, demonstrated a relatively low prediction error. Regarding the influence of the examined belt grinding parameters on the material removal, inference from some statistical models shows that the grit size has the most substantial effect. The proposed regression models can likely be applied for achieving desired material removal by defining process parameter levels without the need to conduct physical belt grinding experiments.

Prediction of Surface Quality and Parameter in Bearing Convex Raceway Finishing

2007 ◽  
Vol 24-25 ◽  
pp. 361-370
Author(s):  
Bin Tao ◽  
Xu Yue Wang ◽  
H.Z. Zhen ◽  
Wen Ji Xu
Keyword(s):  
Neural Network ◽  
Surface Quality ◽  
Bp Neural Network ◽  
Back Propagation ◽  
Processing Parameters ◽  
Machining Parameters ◽  
Belt Grinding ◽  
Linear Behavior ◽  
Non Linear ◽  
Hidden Layer

Electrochemical abrasive belt grinding (ECABG) technology, which has the advantage over conventional stone super-finishing, has been applied in bearing raceway super-finishing. However, the finishing effect of ECABG is dominated by many factors, which relationship is so complicated that appears non-linear behavior. Therefore, it is difficult to predict the finishing results and select the processing parameters in ECABG. In this paper, Back-Propagation (BP) neural network is proposed to solve this problem. The non-linear relationship of machining parameters was established based on the experimental data by applying one-hidden layer BP neural networks. The comparison between the calculated results of the BP neural network and experimental results under the corresponding conditions was carried out, and the results indicates that it is feasible to apply BP neural network in determining the processing parameters and forecasting the surface quality effects in ECABG.

Research of Surface Roughness of Fluid Piston Rod Based on the Abrasive Belt Grinding

2009 ◽  
Vol 416 ◽  
pp. 187-191
Author(s):  
Zhi Ming Lv ◽  
Yun Huang ◽  
Zhi Huang ◽  
Li Na Si
Keyword(s):  
Surface Roughness ◽  
Manufacturing Process ◽  
Research Result ◽  
Grinding Process ◽  
Experiment Research ◽  
Belt Grinding ◽  
Abrasive Belt ◽  
Grinding Parameters

The method of abrasive belt finishing slender piston rod was proposed in this paper, which based on low surface roughness weaknesses of low rigidity slender piston rod in the grinding process. And the ralation between the surface roughness and the grinding parameters was analyzed by the experiment research. The research result has a reasonably guidance for the actual manufacturing process.

Influencing Mechanism of Rubber Wheel on Contact Pressure and Metal Removal in Corrugated Rail Grinding by Abrasive Belt

2018 ◽  
Vol 140 (12) ◽  
Author(s):  
Wengang Fan ◽  
Yueming Liu ◽  
Xiaoyang Song ◽  
Jifa Cheng ◽  
Jianyong Li
Keyword(s):  
Contact Pressure ◽  
Metal Removal ◽  
Removal Rate ◽  
Boundary Curve ◽  
Theoretical Models ◽  
Belt Grinding ◽  
Railway Network ◽  
Abrasive Belt ◽  
Influencing Mechanism ◽  
Rail Grinding

Rail grinding has been widely recognized as an essential measure in routine maintenance of railway network in the world. Compared with other technologies, the emerging abrasive belt grinding process for direct rail maintenance rather than limited polishing finish has shown the convincing potential to improve metal removal rate and surface quality. However, the influencing mechanism of the rubber wheel on contact pressure and metal removal for the corrugated rails is yet unknown. This paper develops a contact pressure model to obtain the boundary curve and the stress distribution of the contact zone between the rubber wheel with concave peripheral surface and the rail surface with corrugation. Based on this, the metal removal model is subsequently established through the abrasive processing theory. Finite element (FE) simulations and grinding tests are finally implemented. Results confirm the above-mentioned theoretical models of contact pressure and metal removal and show the significant influences of the rubber wheel's feature on contact pressure and metal removal.

Research on Accuracy of Abrasive Belt Grinding

2011 ◽  
Vol 101-102 ◽  
pp. 1101-1104
Author(s):  
Hong Li
Keyword(s):  
High Efficiency ◽  
Research Result ◽  
Dimensional Accuracy ◽  
Grinding Process ◽  
Belt Grinding ◽  
Roundness Error ◽  
Factors Affecting ◽  
Abrasive Belt ◽  
Research Objects ◽  
Open Cycle

The experiment on slender shaft open-cycle belt grinding process is conducted in this paper. The research objects are dimensional accuracy and deviation from roundness error, the changes of which are emphasized after the belt grinding. And the factors affecting the working accuracy of the belt grinding are analyzed. Some measures for improving working accuracy of the belt grinding are put forward. Research result shows that by installing a belt grinding device on a lathe to grind the slender shafts can improve the accuracy with high efficiency.

Sign in / Sign up

Export Citation Format

Share Document