Loading of the Manufacturing Systems Elements in the Process of Unsteady Mode Cutting and the Models of their Arrangement Deviations

2014 ◽  
Vol 682 ◽  
pp. 192-195 ◽  
Author(s):  
U.S. Putilova ◽  
Yu.I. Nekrasov ◽  
A.A. Lasukov
Keyword(s):  
Cutting Force ◽  
Machine Tools ◽  
Manufacturing Systems ◽  
Diagnostic System ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Cutting Force Components ◽  
On Line ◽  
Servo Drives ◽  
Force Components

To improve the treatment accuracy by on-line correction of the paths of the executive working parts (EWP) the authors study the processes of loading, deformation and arrangement deviation of the elements of the manufacturing systems (MS) under the changes of the cutting force components in the process of turning on machine-tools equipped with CNC systems of PCNC class. Estimation of the values of the technological components of the cutting force Px, Py, Pz is based on the phenomenon of arrangement deviation Δωi of the elements monitoring the servo drives of machine tools. To determine the compliance of the deviation magnitude Δwi with the technological components of the cutting force Px, Py a diagnostic subsystem was developed, involving the loading devices and dynamometric equipment. The diagnostic system is controlled through PCNC with the application of a specially developed hardware-software system. The data on changes in the values Px, Py and the respective changes in the attitude misalignment parameters in servo drives at various EWP minute feeds in CNC machine tools were determined by prior diagnosis of load characteristics servo drives, registered in the PCNC. So, the data of cutting force components Px, Py compliance with arrangement error ratios ΔωXп, ΔωZп. were established.

On-line wear estimation using neural networks

1998 ◽  
Vol 212 (2) ◽  
pp. 105-112 ◽  
Author(s):  
A Ghasempoor ◽  
T N Moore ◽  
J Jeswiet
Keyword(s):  
Neural Networks ◽  
Tool Wear ◽  
Cutting Force ◽  
Machining Parameters ◽  
Dynamic Neural Networks ◽  
Line Wear ◽  
Cutting Force Components ◽  
On Line ◽  
Force Components ◽  
Share Information

In this paper, a neural network based system for ‘on-line’ estimation of tool wear in turning operations is introduced. The system monitors the cutting force components and extracts the tool wear information from the changes occurring over the cutting process. A hierarchical structure using multilayered feedforward static and dynamic neural networks is used as a specialized subsystem, for each wear component to be monitored. These subsystems share information about the tool wear components they are monitoring and their error in estimating the cutting force components is used to update the dynamic neural networks. The adaptability property of neural networks ensures that changes in machining parameters can be accommodated. Simulation studies are undertaken using experimental data available from manufacturing literature. The results are promising and show good estimation ability.

Research of On-Line Monitoring Technology of Machining Accuracy of CNC Machine Tools

2013 ◽  
Vol 846-847 ◽  
pp. 268-273
Author(s):  
Rong Bo Shi ◽  
Zhi Ping Guo ◽  
Zhi Yong Song
Keyword(s):  
Neural Network ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Frequency Domain Method ◽  
Machining Accuracy ◽  
Cnc Machine ◽  
Monitoring Technology ◽  
The Neural Network ◽  
Network Identification ◽  
On Line

This paper analyzes CNC machine tools machining error sources, put forward a kind of on-line monitoring technology of CNC machine tools machining accuracy based on online neural network. Through the establishment of CNC machine tools condition monitoring platform, collection sensor signal of the key components of CNC machine tools, using time domain and frequency domain method of the original signal processing, extract the characteristic related to machining accuracy change, input to the neural network, identification the changes of machining accuracy. The experimental results show that, the on-line monitoring technology based on neural network, can identify the changes of machining accuracy.

Research on Ultrasonic-Assisted CNC Cutting of Honeycomb Cores Based on UG

2021 ◽  
Author(s):  
Dongfang Mu ◽  
Xiaoping Hu ◽  
Haofeng Yu ◽  
Baohua Yu
Keyword(s):  
Cutting Force ◽  
Process Planning ◽  
Machine Tools ◽  
Cnc Machine Tools ◽  
Ultrasonic Machining ◽  
Post Processing ◽  
Cnc Machine ◽  
Good Surface ◽  
Ultrasonic Assisted ◽  
Honeycomb Cores

Abstract Compared with traditional milling, ultrasonic-assisted cutting of honeycomb cores has the advantages of good surface quality and low cutting force. Because the ultrasonic cutter and chip shapes used in ultrasonic machining are significantly different from traditional machining methods. This study is based on UG CAM for process planning, which will be converted into codes that can be recognized by six-axis CNC machine tools through post-processing, and verify the feasibility through VERICUT simulation.

Research on the Cutting Force Induced Error Measurement Method of the CNC Machine Tools

2012 ◽  
Vol 220-223 ◽  
pp. 426-430
Author(s):  
Huan Lao Liu ◽  
Bao Yue Chen ◽  
Feng Liu ◽  
Guang Yu Tan
Keyword(s):  
Cutting Force ◽  
Machine Tools ◽  
Measurement Method ◽  
One Dimension ◽  
Cnc Machine Tools ◽  
Error Measurement ◽  
Cnc Machine ◽  
Working Process ◽  
Machine Error ◽  
Hard Cutting

The cutting force induced error has been more important as the hard cutting and hard cutting material used. This paper proposed the direct measurement method of cutting force induced error, which realized the corresponding directly of the cutting force and the value of error in the working process. According to the discrimination of machine error characteristics reflected by the different measuring methods, it puts forward to building the mixed error model based on the measuring technology of one dimension and two dimension. The results could provides the test data and theoretical basis for the mechanism of the processing performance affected by the dynamic behavior of machine tools.

A STEP Compliant Framework for Cutting Force Prediction for NC Turning Operations

2014 ◽  
Vol 889-890 ◽  
pp. 1009-1013
Author(s):  
Ri Liang Liu ◽  
Hai Guang Zhu
Keyword(s):  
Cutting Force ◽  
Machine Tools ◽  
New Technologies ◽  
Mechanistic Modeling ◽  
Numerical Control ◽  
Cnc Machine Tools ◽  
Prototype System ◽  
Cnc Machine ◽  
Turning Operations ◽  
Part Program

With STEP-NC (ISO 14649) being gradually accepted as new standard for programming computerized numerical control (CNC) machine tools, new technologies and computer systems in the design and manufacturing process chain are emerging, and conventional systems are reshaping, to support interoperable and intelligent manufacturing. This paper addresses issues and solutions for the adaptation. In the first place, a strategy for adapting legacy CNC turning machine tools to the emerging standard is presented. In the second place, the new data model is analyzed and a practical way to retrieve and extract manufacturing information from the STEP-NC part program for turning process is presented. In the third place a workable approach to calculating the cutting force and chip load in turning operations is presented based on the mechanistic modeling method. Finally the proposed approach is implemented in a prototype system and tested with an example STEP-NC program for turning, which shows not only the feasibility of the proposed approach for information extraction and process evaluation, but also the possibility of using simple transitional systems to bridge the gap between the sophisticated STEP-NC part program and conventional CNC machines.

scholarly journals Power-Based Estimation of Cutting Forces During Turning of Aluminium Biomass Ash Particulate Composite

2021 ◽  
Author(s):  
Emmanuella Emefe ◽  
Chigbogu Ozoegwu ◽  
Sylvester Edelugo
Keyword(s):  
Cutting Force ◽  
Cutting Forces ◽  
Base Material ◽  
Particulate Composite ◽  
Direct Drive ◽  
Cnc Machine ◽  
Biomass Ash ◽  
Force Coefficients ◽  
Cutting Force Components ◽  
Force Components

Abstract Aluminum-Biomass Ash Particulate Composite is a reinforced composite material of aluminum and biomass ash particles. The composite offers significant mechanical properties advantage and low-cost advantage because of the use of waste as the reinforcement material and as a result, it is gaining increased industrial attention because of the many advantages they offer over conventional Aluminium Matrix Composites. These materials are mostly accessed on the basis of their mechanical, microstructural and chemical properties with very limited interest on their machinability relative to the base material. The specific cutting force coefficients and cutting forces of the composite were estimated during CNC turning operations and the effects of reinforcement on the machinability responses were studied. In this work, power-based force estimation approach was adopted for this purpose for the first time. This approach is less expensive compared to the dynamometric approach since it relies on adapting existing equipment developed for other purposes. This was done by measuring the electric power of the direct-drive motors of the CNC machine during the turning process and the power measurements were analyzed to obtain the force coefficients. The cutting force components were observed to decrease as the percentage rice husk ash (RHA) reinforcement increased. This agrees with known results for the composite based on the dynamometric approach. Since the cutting force components decrease with increase in reinforcement, it can be deduced that increasing RHA in the Aluminium might reduce friction at the tool-chip interface and extend tool life, in other words, improving machinability. The composite therefore promises to be more cost effective than the base material in machinability terms.

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