A method for monitoring and diagnosing the circular trajectory error in micromilling

Santos, Bruna Castilho dos; Andrade, Gabriel de; Conte, Erik Gustavo Del

doi:10.1109/tla.2016.7816991

Cited by 4 publications

(2 citation statements)

References 8 publications

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“…The data monitored by the trellis encoder is used to draft a method for implementing an experimental plan for monitoring and predicting positioning errors. 23 Panda et al have developed and implemented an Integrated Data Acquisition (DAQ) device system based on Monitoring and Data Acquisition (SCADA)/Human Machine Interface (HMI) for remote control and monitoring of fido technology standard (FTS). 24 Downey et al introduced a multisensor automatic data acquisition system with various sensors that measure acoustic emissions, cutting forces and vibrations mounted on the machine turret, and an automatic image acquisition system that can be used at each operation.…”

Section: Introductionmentioning

confidence: 99%

Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing

Guo

Sun

2020

International Journal of Advanced Robotic Systems

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Intelligent manufacturing as the development direction of the new generation manufacturing system has become a hot research topic. Computer numerical control (CNC) machine tools are the core manufacturing equipment in discrete manufacturing enterprises, collecting and monitoring the data is an important part of intelligent manufacturing workshops. It has a great significance to improve the production efficiency of enterprises and eliminate information islands. The purpose of this article is to solve the problems of data acquisition and monitoring of CNC machine tools in the manufacturing workshop of enterprises. This article uses FOCAS data acquisition method to research and develop the data acquisition and monitoring system of CNC machine tools in intelligent manufacturing workshop. The research results show that the equipment information model based on MTConnect protocol and FOCAS can solve the data acquisition and storage functions of CNC machine tools well. Using the object-oriented Petri net model, it can solve various uncertain factors in numerical control (NC) machining tasks and realize the monitoring function of CNC machining tasks in the workshop. Based on the NC program analysis, the calculation method of machining time in the NC program can determine the preventive maintenance cycle of the machine based on the machine fault information. Based on VS2013 development environment, Qt application framework and SQL Server 2012 database, the numerical control machine tool data acquisition and monitoring prototype system was developed, and the system was verified in the workshop to prove the effectiveness of the system.

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Section: Introductionmentioning

confidence: 99%

Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing

Guo

Sun

2020

International Journal of Advanced Robotic Systems

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“…So remaining useful life is seldom referred to as a performance indicator for machine tools. Machining precision is an important indicator for machine tools, such as positioning error [4], tool path error [5], and geometric accuracy [6]. However, it is difficult to measure those parameters of machining precision during short working time, and if the machining precision is lower than the specific value, we would treat it as one type of failures.…”

Section: Introductionmentioning

confidence: 99%

Reliability Modelling of CNC Machine Tools Based on the Improved Maximum Likelihood Estimation Method

Yang

Zhu

Chen

et al. 2018

Mathematical Problems in Engineering

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The existing standard reliability models for computerized numerical control (CNC) machine tools are not satisfactory and they fall short of predicting failure rates or lifetime of key functional parts of CNC machine tools. This is attributed to two reasons: the small sample size of failure data and a large truncated ratio of the censored failure data. Improved correction method (ICM), maximum likelihood estimation (MLE), and empirical maximum likelihood estimation (EMLE) are presented and compared with each other in this study. In order to improve the shortage of reliability models developed by the traditional methods, an improved maximum likelihood estimation method (IMLE) is proposed through enlarging censored failure data. Moreover, the correction factors of mean ratio to extend censored time are designed, by which the censored failure data can be close to the true time between failures (TBF). Furthermore, a solution method of correction factors considering amount of calculation is proposed to meet the requirements of calculation precision. Finally, verification by the orthogonal experiment is simulated to verify the proposed model. The verifying test results show that the proposed method can be applied in reliability modelling for not only CNC machine tools but also the key functional parts of CNC machine tools.

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Investigation of micromilled tool steel H13 using tungsten carbide micro-end mills

Thom

Uhlmann

Assis

et al. 2020

Int J Adv Manuf Technol

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A method for monitoring and diagnosing the circular trajectory error in micromilling

Cited by 4 publications

References 8 publications

Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing

Research and development of monitoring system and data monitoring system and data acquisition of CNC machine tool in intelligent manufacturing

Reliability Modelling of CNC Machine Tools Based on the Improved Maximum Likelihood Estimation Method

Investigation of micromilled tool steel H13 using tungsten carbide micro-end mills

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