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Статті в журналах з теми "System of the automated programming CNC machines"
Fatriyana, Maya. "CNC PROGRAM AND PROGRAMMING OF CNC MACHINE." Journal of Mechanical Science and Engineering 7, no. 1 (October 7, 2020): 019–23. http://dx.doi.org/10.36706/jmse.v7i1.37.
Повний текст джерелаNazarov, Mihail, Evgeny Kiselev, and Aleksey Popovich. "Using of machine parts abstract elements in nc-programs developing for the cnc machines." MATEC Web of Conferences 224 (2018): 04002. http://dx.doi.org/10.1051/matecconf/201822404002.
Повний текст джерелаLi, Qiang, Li Li Yi, Shi Long Wang, and Jie Zhou. "Coupled Motion Control and Adjustment in Automatic Programming System of CNC Hobbing Machines." Applied Mechanics and Materials 86 (August 2011): 552–55. http://dx.doi.org/10.4028/www.scientific.net/amm.86.552.
Повний текст джерелаAverchenkov, Andrey, Inna Koloshkina, and Sergey Sheptunov. "Development and Optimization of Control Programs for 2.5-Coordinate Milling of Three-Dimensional Workpieces on CNC Machines." MATEC Web of Conferences 346 (2021): 01009. http://dx.doi.org/10.1051/matecconf/202134601009.
Повний текст джерелаZahoranský, Robert. "Supervisory Level of Managing of Automated Assembly Workplace." Applied Mechanics and Materials 282 (January 2013): 182–89. http://dx.doi.org/10.4028/www.scientific.net/amm.282.182.
Повний текст джерелаPereverzev, Pavel P., Aleksandra V. Akintseva, Masar K. Alsigar, and Dmitrii V. Ardashev. "Designing optimal automatic cycles of round grinding based on the synthesis of digital twin technologies and dynamic programming method." Mechanical Sciences 10, no. 1 (July 1, 2019): 331–41. http://dx.doi.org/10.5194/ms-10-331-2019.
Повний текст джерелаYudachev, S. S., S. S. ,. Sitnikov, N. A. ,. Gordienko, and P. A. Monakhov. "Operation description and creating an analog VGA output on the debugging board when making programs for CNC machines." Glavnyj mekhanik (Chief Mechanic), no. 2 (January 18, 2022): 88–99. http://dx.doi.org/10.33920/pro-2-2202-01.
Повний текст джерелаКриживець, Євген Олександрович, Олег Борисович Ківіренко та Володимир Вікторович Комбаров. "АВТОМАТИЗОВАНЕ ВИРОБНИЦТВО ВІДВОДІВ СКЛОПЛАСТИКОВИХ ТРУБОПРОВОДІВ". Aerospace technic and technology, № 4 (31 серпня 2019): 101–9. http://dx.doi.org/10.32620/aktt.2019.4.16.
Повний текст джерелаCao, Shu Kun, Shang Wei Yang, Xiu Sheng Chen, Gui Cong Wang, and Wei Wei Song. "Milling Machine Design Based on Open CNC System." Applied Mechanics and Materials 52-54 (March 2011): 887–92. http://dx.doi.org/10.4028/www.scientific.net/amm.52-54.887.
Повний текст джерелаMartinova, Liliya I., and Nikolay N. Fokin. "An approach to creation of a unified system of programming CNC machines in the dialog mode." MATEC Web of Conferences 224 (2018): 01101. http://dx.doi.org/10.1051/matecconf/201822401101.
Повний текст джерелаДисертації з теми "System of the automated programming CNC machines"
Чамата, Сергій Миколайович. "Технологічне забезпечення шліфування оправок станів холодної прокатки труб". Doctoral thesis, Київ, 2015. https://ela.kpi.ua/handle/123456789/13928.
Повний текст джерелаSun, Wei-Heng, and 孫偉恆. "Development of an Automated Tool Condition Monitoring System Based on the Machine Vision Method for the Inspection of Tools Used in CNC Turning Machines." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/289yb6.
Повний текст джерела國立臺北科技大學
機電整合研究所
105
This study proposes a method for the online tool condition monitoring of the tools used for the cutting processes in computer numerically controlled (CNC) turning machines. Through this study, we have developed a device for online tool condition monitoring based on the machine vision/image capture method. One of the key features of the image capture device developed through this study is that it will not be affected by contamination from the cutting environment. Wear and tear of machine tools can typically be classified into four categories: fracture, built-up edge, chipping, and severe wear of the insert tip condition of the external turning tools. Methods for inspection of wear and tear used in the past relied on manual inspection of the tool insert or on statistical data analysis of cutting history. However, these methods were unable to effectively enhance the production efficiency of automated turning manufacturing. By leveraging the rapid advances in software, hardware devices, and technology for enabling machine vision in recent years, we have developed an automated online inspection system for tool condition monitoring, which can provide information regarding wear and tear in real time without the need for manual intervention, thereby improving production efficiency. To overcome the impact of contamination in the cutting environment on the image capture device and the tool images it records and to improve the robustness of the tool condition inspection method, we performed detailed analyses using four different images. The images captured include the tool wear exposure image, the tool flank exposure image, the tool wear feature image, and the tool flank feature image. For the tool wear features that cannot be inspected easily, we designed a light source device with an inbuilt capability for auto-modulation of light intensity. This helped maintain a similarity in luminance across different tool images captured, thereby enabling the selection of the appropriate wear feature image for analysis. An automated inspection of the condition of tools was conducted online using batch test samples provided by the manufacturer of the mechanical parts to verify the feasibility of applying the machine vision system developed in this study for actual monitoring of tools in the CNC turning machines. With the rapid growth in practical applications of robotized manufacturing cells (RMCs), this study also used the same method for the inspection of the RMCs by mounting the automated tool condition inspection module on the manipulator with six degrees of freedom, and by carrying out repeated inspections of the CNC turning tools for the manufacturing cell. Thus, we verified the stability and repeatability of the automated inspection system for the RMC and validated the robustness of the offset tool image captured using the machine vision device.
Частини книг з теми "System of the automated programming CNC machines"
Brownbill, Robert, Philip Silk, Peter Whiteside, Windo Hutabarat, and Harry Burroughes. "High-Load Titanium Drilling Using an Accurate Robotic Machining System." In IFIP Advances in Information and Communication Technology, 140–52. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72632-4_10.
Повний текст джерелаXu, Xun. "Program CNCs." In Integrating Advanced Computer-Aided Design, Manufacturing, and Numerical Control, 188–229. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-714-0.ch009.
Повний текст джерелаRuttico, Pierpaolo. "Innovative Construction Systems." In Additive Manufacturing, 25–51. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-5225-9624-0.ch002.
Повний текст джерелаRuttico, Pierpaolo. "Innovative Construction Systems." In Advances in Media, Entertainment, and the Arts, 354–79. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3993-3.ch017.
Повний текст джерелаAlmeida, Sergio, John P. T. Mo, Cees Bil, Songlin Ding, and Xiangzhi Wang. "Design of a Wire Cut EDM End-Effector with Strict Robotic Constraints." In Advances in Transdisciplinary Engineering. IOS Press, 2021. http://dx.doi.org/10.3233/atde210115.
Повний текст джерелаSelouani, S. A., T. H. Lê, Y. Benahmed, and D. O’Shaughnessy. "Enhanced Speech-Enabled Tools for Intelligent and Mobile E-Learning Applications." In Advances in Distance Education Technologies, 147–65. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-934-2.ch010.
Повний текст джерелаТези доповідей конференцій з теми "System of the automated programming CNC machines"
Han, Jiang, Xiao-qing Tian, Lian Xia, Fu-gen Li, Jie Cheng, and Bao Chen. "Key Technologies of Embedded Gear Machining CNC System." In ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/msec2013-1083.
Повний текст джерелаKurnool, Sirihari, and Cemil Bagci. "Elastodynamics of Horizontally Body-Guiding Cam-Driven Linkages Interacting With Robots, and Elastic Error Compensation for Robot Positioning." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/mech-1174.
Повний текст джерелаAhmad, Rafiq, and Peter Plapper. "Safe and Automated Tool-Path Generation for Multi-Axis Production Machines." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-36742.
Повний текст джерелаSang, Zhiqian, and Xun Xu. "Development of a Smart Computer Numerical Control System." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-65984.
Повний текст джерелаBuske, Scott E., and Tien-I. Liu. "Computer-Integrated Design and Manufacturing of Packaging Machines." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81874.
Повний текст джерелаChuang, Ho-Yu, and Jen-Yuan (James) Chang. "3D Surface Scanning for Smart Repair Manufacturing Application." In ASME 2020 29th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/isps2020-1910.
Повний текст джерелаJayaram, Uma, Sankar Jayaram, Robert Hutchison, and Trung Nguyen. "Back to the Future: Creating a New Generation of Design Engineers Competent in Both Modern Manufacturing Enterprise Systems and Traditional Hands On Manufacturing." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13656.
Повний текст джерелаTapoglou, Nikolaos, Jörn Mehnen, Michael Doukas, and Dimitris Mourtzis. "Optimal Machining Parameter Selection Based on Real-Time Machine Monitoring Using IEC 61499 Function Blocks for Use in a Cloud Manufacturing Environment: A Case Study for Face Milling." In ASME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/msec2014-4022.
Повний текст джерелаLim, T., J. Corney, J. M. Ritchie, and B. J. Davies. "RPBloX Rapid Prototyping: More Than Just Layers." In ASME 2002 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/detc2002/dfm-34165.
Повний текст джерелаAtluru, Sri, Amit Deshpande, Sam Huang, and Ron Pieper. "PneuViz: MTConnect Compliant Compressed Air Monitoring Application." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7389.
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