Relevant bibliographies by topics / CNC control

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'CNC control'

Author: Grafiati
Published: 28 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "CNC control"

1

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.

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A programming to make parts are CNC Programming (Computer Numerical Control Programming) for machines. An NC program consists of a sequence of instructions that control the motion and automatic sequences of an NC Machine to perform a particular processing task. In a general sense, the term NC programming refers to the creation of control data for machining workpieces on NC and CNC machines. NC programming has a decisive influence on the cost-effectiveness and profitability of NC manufacturing. The selection of a programming system is mostly guided by the need for software that is suitable for the application at hand, readily available, and as universally applicable as possible.
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Zhang, Er Hong, and Hua Long Zhang. "Control System for Automatic Surface CNC Machining." Applied Mechanics and Materials 741 (March 2015): 768–71. http://dx.doi.org/10.4028/www.scientific.net/amm.741.768.

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CNC technology is mechanical movement with digital information and work process control technology, data processing is the reverse engineering of important technical aspects, which determines whether the subsequent model reconstruction process easy and accurate manner. In this paper, CNC machining complex surfaces feature full potential of existing CNC equipment, automatic control system designed to make CNC machining equipment to achieve higher processing speed, high precision machining, and CNC equipment in order to achieve high efficiency machining.
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Nugroho, Aji Brahma, M. A'an Auliq, and Muhammad Zulfikar Alrasyid. "Analisa Perbandingan Performansi Akurasi Mesin CNC (Computer Numerical Control) Router Berbasis Mach3 dan Arduino Uno Menggunakan Metode SQC (Statistical Quality Control)." Jurnal Teknik Elektro dan Komputasi (ELKOM) 2, no. 2 (September 24, 2020): 75–86. http://dx.doi.org/10.32528/elkom.v2i2.3464.

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Mesin CNC salah satu teknologi yang masih dikembangkan untuk peningkatan kegiatan produksi salah satunya mesin CNC 3 axis dengan fungsi milling. Pada umumnya kontrol utama mesin CNC menggunakan salah satu board dari platform resmi yaitu Mach3 dengan fitur yang sangat mendukung untuk fungsi sebuah mesin CNC salah satunya komunikasi paralel untuk menunjang kinerja mesin CNC tetap stabil, akan tetapi komputer dengan fitur komunikasi paralel umumnya tipe lama dengan spesifikasi rendah yang hanya bisa dijadikan sender dan tidak bisa digunakan untuk mendesain. Berdasarkan permasalahan tersebut maka diperlukan peningkatan efisiensi dalam memanfaatkan teknologi CNC yaitu dengan menggunakan platform yang bersifat open source dan menggunakan komunikasi serial untuk menjadikan teknologi CNC lebih fleksibel dalam hal pengoperasian dengan satu komputer dapat digunakan untuk mendesain dan sender. Arduino Uno salah satu platform yang bersifat open source yang dapat dimanfaatkan untuk menjadi kontrol utama mesin CNC. Hasil penelitian mesin CNC berbasis Arduino menunjukan bahwa penerapan komunikasi serial untuk pengoperasian mesin CNC memiliki perfomansi dan akurasi yang tidak jauh berbeda dengan mesin CNC yang menggunakan komunikasi serial. Dalam parameter jumlah objek yang dikerjakan sama Mach3 30 detik lebih cepat dengan akurasi kesalahan 0,05% dan Arduino 0,1%. Dalam parameter jumlah waktu yang sama yaitu 30 menit Mach3 menyelesaikan 8 objek dan objek ke - 9 hanya dikerjakan 25,6%, Arduino menyelesaikan 8 objek dan objek ke – 9 hanya 14,5%.
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Prianto, E., T. H. T. Maryadi, Sunomo, C. A. J. Malik, M. W. Purnomo, and O. M. Caecaria. "Mini CNC Design to Increase Students’ Programming and Control CNC Competencies." Journal of Physics: Conference Series 1413 (November 2019): 012006. http://dx.doi.org/10.1088/1742-6596/1413/1/012006.

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Sahin, Mehmet, Suleyman Yaldiz, Faruk Unsacar, Burak Yaldiz, Nikolaos Bilalis, Emmanuel Maravelakis, and Aristomenis Antoniadis. "Virtual Training Centre for Computer Numerical Control." International Journal of Computers Communications & Control 3, no. 2 (January 1, 2008): 196. http://dx.doi.org/10.15837/ijccc.2008.2.2387.

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It is a fact that virtual training has been a scope of interest for vocational training for a very long time. However, it needs more time to be more common in all specific training fields. Focusing on Computer Numerical Control (CNC) Training, new developments in the CNC machinery produce a continuous demand on enhancing the programming and technical capabilities of the involved personnel. Training on CNC should follow similar developments and in particular in their programming capabilities, automation they offer and their technical capabilities. Based on these main objectives a Virtual Training Center (VTC) for CNC has been developed and it is presented in this paper. The VTC is the main result of a multilateral Leonardo Da Vinci project witch aims to promote and reinforce Vocational Training in CNC Machines.
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ZHAO, GUOYONG, and YUGANG ZHAO. "MULTI-AXIS LINKED SERVO SYSTEM CONTOURING ERROR CONTROL APPROACH BASED ON NURBS CURVE INTERPOLATION." Journal of Advanced Manufacturing Systems 10, no. 01 (June 2011): 21–27. http://dx.doi.org/10.1142/s021968671100193x.

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The contouring precision of computer numerical control (CNC) machine tools relates to whether the dynamic performances among all the axes match or not. In general, the cross-coupled controller (CCC) is a more efficient approach to enhance contouring precision than single-axis servo controller. Note that the contouring error CCC can not be separated from pathway programming in multi-axis linked servo system. In order to obtain satisfied contouring precision, the CCC approach connected with non-uniform rational basis spline (NURBS) curve interpolation is researched in detail in the paper. Above all, an "arc approximation algorithm" contouring error computing model is developed, according to the real cutter positions from each axis feedback and the interpolation dots stored in the interpolation buffer. Then the contouring error correction quantity PI control and distribution algorithm is put forward by introducing a zoom coefficient. The contrast experimental results on the CNC experiment table show that the developed CCC approach can reduce contouring error and improve tracking performance further.
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Peng, Chong, Yu Jie Meng, and Li Yun Lan. "Study on Software Reliability of Numerical Control System." Applied Mechanics and Materials 278-280 (January 2013): 2085–89. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2085.

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With the rapid development of electronic components manufacturing technology and the application of reliability technology, the hardware reliability of the CNC system and servo drive system has been greatly improved. Currently, the performance and functionality of CNC system, which achieved gradually by the software instead of hardware, is becoming increasingly complex. However, very few researches on the reliability of CNC system software was presented. In this paper, the basic conceptions and important of CNC software reliability were discussed, and comparative analysis on the research status at domestic and abroad were studied from the view of theoretical research and engineering practice. Meanwhile, the paper collected field failure data on 30 CNC systems in six months, and reliability analysis was made based on the data.
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Dias, Nuno, Hugo Alvarinhas, André Quintã, and José Santos. "WEB ENABLED CNC MILLING MACHINE CONTROL." IFAC Proceedings Volumes 39, no. 3 (2006): 759–64. http://dx.doi.org/10.3182/20060517-3-fr-2903.00377.

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Serruys, Wim. "Adaptive Control in CNC Sheet Metal Processing." Key Engineering Materials 473 (March 2011): 13–20. http://dx.doi.org/10.4028/www.scientific.net/kem.473.13.

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Three different and complementary ways of adaptive control are presented, each working on a different time scale. All three of them are made possible due to evolutions and developments in CNC controls. The first and most popular way of adaptive control is adaptive process control. Since the process variables in sheet metal equipment change significantly in milliseconds, the control loop must also perform on a sub second time scale. The second adaptive loop is adaptive production control. Modern CNC controls know what they are manufacturing and talk with higher production software. Instead of just executing a planning that came top down, the CNC has enough knowledge of its environment that it can propose an intelligent job sequence and hence react more effectively on unforeseen situations. These adaptive loops perform on a time scale of hours and days. The third adaptive loop is adaptive resource control. To produce sheet metal parts, we need several kinds of resources: human resources, material, consumables, energy and equipment. CNC sheet metal equipment is a considerable investment. However most production managers do not know how effective their resources are being used. By applying the principles of overall equipment effectiveness, we can close the resource control loop. This loop performs on a time scale of weeks and months.
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Yu, Ying Liang, and Zai Dan Geng. "The Study on Application of Worm’s Numerical Control Machining." Key Engineering Materials 455 (December 2010): 594–98. http://dx.doi.org/10.4028/www.scientific.net/kem.455.594.

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One of the significant features of CNC technological superiority is in the practical applications, according to the necessary movement of processed parts required, we can use generating method to transform CNC machine tools and receive the desired results. This article discussed under the premise that lack of special equipment, transforming ordinary horizontal CNC milling to machine worm gear. The advantage of this numerical transformation approach is using the processing functions of thread and tapered thread instruction, skillfully translating into control of the CNC machining worm, expanding the CNC machining capabilities and the scope of practical application. Also apply the advantages of CNC technology, reduce or eliminate the accumulation of worm in the processing of pitch error which makes the worm processing precision and smoothness of worm drive better. This paper discussed the principles of numerical control transformation, transformation of milling machine structure and the conversion calculation of parameters in programming, analyzed the causes and processing effects of worm gear processing errors control and accuracy improving.
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Dissertations / Theses on the topic "CNC control"

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Kanburoglu, Furkan A. "Distributed Control System For Cnc Machine Tools." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610599/index.pdf.

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&ldquo
Numerically Controlled&rdquo
(NC) machine tools, which are automatically operated by encoded (digital) commands, are capable of machining components with quality and quantity. Manufacturing industry heavily depends on these machines. Many different control architectures have been adapted in today&rsquo
s CNC technology. Centralized control system is quite popular in industry due to its ease of implementation. If the number of controlled axes on a CNC machine tool (>
3), increases so does the computational burden on the central processors. Hence, more powerful processors are needed. An alternative architecture, which is not commonly used in CNC technology, is the decentralized (distributed) control. In this topology, the tasks handled by the distributed controllers that are interconnected to each other by a communication network. As the need arises, a new controller can be added easily to the network without augmenting the physical configuration. Despite its attractive features, this architecture has not been fully embraced by the CNC industry. Synchronization among the axes in the coordinated motion is proven to be quite challenging. In this thesis, alternative distributed controller architecture was proposed for CNC machine tools. It was implemented on a 3-axis CNC milling machine. Open-loop control performance was investigated under various conditions. Different communication protocols along with different physical communication interfaces and a number of controller hardware were devised. An industry-standard network (RS-485) was set up by interconnecting these distributed controllers. Different data transmission protocols were devised in order to establish appropriate communication methods. Also, computer software (a.k.a. graphical user interface), which can coordinate the interconnected controllers, interpret NC part programs and generate reference position data for each axis, was designed within the scope of this thesis.
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Vondrák, Jan. "Technologie CNC frézování." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2010. http://www.nusl.cz/ntk/nusl-228933.

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Common possibility analysis on milling machine, analysis possibility for programming in workshop oriented milling in system Sinumerik 840D ShopMill. Project alternative manufacturing technology including creation NC programme and technical economic valuation for part of Suspension globular screw in axis X.
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Kumar, Sanjeev. "STEP-NC Compliant process control for CNC manufacture." Thesis, University of Bath, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488894.

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Manufacturing firms strive to improve existing methods or develop new ideas to reduce production costs and lead time in order to rapidly provide quality assured parts to customers. Maintaining control over the processes involved in manufacturing is. therefore, vital. With the widespread use of CNCs in the industry, controlling their manufacturing processes has become pertinent.
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Rahaman, Mostafizur. "High speed motion control of CNC machince tools." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44797.

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High speed machining is a relatively new technology that has been applied to industries such as aerospace and die and mold making. By maximizing feedrates and cutting speeds of computer numerically controlled (CNC) machine tools, high levels of productivity are achieved. High speed machining requires rigid tool structures, stable spindles with high power and feed drives which can follow the desired tool trajectory. It is important to point out that both velocity and acceleration are physically constrained for any machine tool. However, the paths supplied by Computer Aided Design (CAD) systems do not take machine constraints into account. Thus, they usually provide very conservative (slow) part programs to this CNC machine, and the operator is then required to adjust the feedrates manually. This process is tedious, and attempts at providing improved preprocessors between the CAD system and the CNC tool have not been successful commercially, since there are too many unknown process parameters. As a result, realtime control techniques such as Cross Coupled Control (CCC), Zero Phase Error Tracking Control (ZPETC), or Realtime Feedrate Modulation (FM) have been studied in the literature. This thesis compares the performance of these traditional control techniques in their ability to reduce path error. It is shown that none of these algorithms are universally applicable to both corner tracking and circular interpolation, which are two of the most common challenges in high speed machining. The thesis then presents two new tracking algorithms that improve and combine the benefits of the existing algorithms. First, a new Linearized Cross Coupled Control (LCCC) algorithm is presented that is easier to implement than traditional CCC and improves the corner tracking capabilities. Then an algorithm termed Robust Tracking Control (RTC) is presented that combines LCCC with FM in order to further improve corner tracking performance and robustness towards multiple machining constraints. Experiments on a custom built x-y table show that RTC performs extremely well in both corner tracking and circular interpolation, even when multiple constraints such as current saturation and voltage saturation are present.
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Hau, Chuan-Shou. "Perspectives of computerized numerical control (CNC) machinists on the tasks of CNC machining technology in Taiwan /." The Ohio State University, 1995. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487863429095404.

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Krejčí, Jan. "CNC řízení frézky." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442459.

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This diploma thesis deals with rebuild of manual drill-mill machine BF20L into CNC mill machine, 3D model of that and eventual control using PLC. All axes are powered by stepper motors, with encoders, connected to control cards and industrial computer from company Beckhoff. For this control is made full switchboard, supplemented by electrical wiring diagram. Program control along with visualization is made in software TwinCAT 3. Drill-mill machine can be controlled manually or automatically by program.
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Moore, Robert Keith. "Computer aided programming of a CNC lathe." Thesis, University of British Columbia, 1985. http://hdl.handle.net/2429/25123.

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A software package and associated hardware have been developed which gives users of the ORAC CNC Training Lathe an easier and faster method of manufacturing on the lathe. The package, entitled ORACAP, uses the computing power of a mini-mainframe computer, a VAX 11/750, to assist in part design, program generation, program optimization, and program proving for the ORAC Lathe. The package is designed for users unfamiliar with computers such as students in an educational institute or workers in a production facility and uses command procedures to simplify the preparation and execution of the modules of the package. In addition to providing users with a valuable tool for manufacturing, ORACAP also gives users insight into the Computer Aided Design and Computer Aided Manufacturing methods used in industry, that is, it demonstrates the methods which allow production of a part from a very concise description of its geometry. Finally, ORACAP demonstrates the production advantages of a CAD/CAM system over conventional manufacturing methods for small to medium size batch production.
Applied Science, Faculty of
Mechanical Engineering, Department of
Graduate
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Statham, Craig G. "An open CNC interface for intelligent control of grinding." Thesis, Liverpool John Moores University, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313100.

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Thomas, David Andrew. "An adaptive control system for precision cylindrical grinding." Thesis, University of Liverpool, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243279.

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Ebrahimi, S. Morteza K. "Dynamic modelling and simulation of a CNC milling machine." Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287909.

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Books on the topic "CNC control"

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CNC machining. Tinley Park, Ill: The Goodheart-Willcox Company, 2008.

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Gizelbach, Richard. CNC machining. Tinley Park, Ill: The Goodheart-Willcox Company, 2009.

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Smid, Peter. CNC control setup for milling and turning: Mastering CNC control systems. New York: Industrial Press Inc., 2010.

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Smith, Graham T. CNC machining technology. London: Springer-Verlag, 1993.

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CNC machining technology. London: Springer-Verlag, 1993.

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Smith, Graham T. CNC machining technology. London: Springer-Verlag, 1993.

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Smith, Graham T. CNC machining technology. London: Springer-Verlag, 1993.

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CNC machining technology. London: Springer-Verlag, 1993.

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Gebauer, Klaus Peter. Fehlerfrüherkennung an CNC-Drehmaschinen. München: C. Hanser, 1992.

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Krar, Stephen F. CNC: Technology and programming. New York: Gregg Division, McGraw-Hill, 1990.

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Book chapters on the topic "CNC control"

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Mantovani, Edgardo. "DNC – Direct Numerical Control oder Distributed Numerical Control." In CNC-Handbuch, 665–82. München: Carl Hanser Verlag GmbH & Co. KG, 2020. http://dx.doi.org/10.3139/9783446465244.028.

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Mantovani, Edgardo. "DNC – Direct Numerical Control oder Distributed Numerical Control." In CNC-Handbuch, 667–85. München: Carl Hanser Verlag GmbH & Co. KG, 2017. http://dx.doi.org/10.3139/9783446452657.028.

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Mantovani, Edgardo. "DNC – Direct Numerical Control oder Distributed Numerical Control." In CNC-Handbuch 2015/2016, 617–35. München: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.3139/9783446443563.026.

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Mantovani, Edgardo. "DNC – Direct Numerical Control oder Distributed Numerical Control." In CNC-Handbuch 2013/14, 523–41. München: Carl Hanser Verlag GmbH & Co. KG, 2013. http://dx.doi.org/10.3139/9783446437180.023.

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Kumar, Sanjeev, and Stephen T. Newman. "Standardised Process Control System for CNC Manufacturing." In Springer Series in Advanced Manufacturing, 233–59. London: Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-739-4_11.

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Xiong, Jianqiao, Xiaosong Xiong, Xue Li, and Bin Yu. "The Research of CNC Communication Based on Industrial Ethernet." In Electrical Engineering and Control, 689–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21765-4_86.

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Kang, Jing, Chang Jian Feng, Hong Ying Hu, and Qiang Shao. "Grinding Process Fuzzy Control on CNC Tool Grinder." In Advances in Grinding and Abrasive Technology XIV, 528–32. Stafa: Trans Tech Publications Ltd., 2007. http://dx.doi.org/10.4028/0-87849-459-6.528.

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Qingsong, Xu, and Ai Changsheng. "The Research of CNC Grinder System with Online Detection." In 2011 International Conference in Electrics, Communication and Automatic Control Proceedings, 543–51. New York, NY: Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-8849-2_69.

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Rowe, W. B., X. Chen, A. Boyle, and D. R. Allanson. "Automatic Control of Dwell Time in CNC Plunge Grinding Operations." In Proceedings of the Thirty-Second International Matador Conference, 325–30. London: Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-14620-8_51.

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Huo, Meng You, Qin He Zhang, Jian Hua Zhang, and Xing Ai. "The Control System Construction of the Multifunctional Combined CNC Machine." In Advances in Machining & Manufacturing Technology VIII, 566–70. Stafa: Trans Tech Publications Ltd., 2006. http://dx.doi.org/10.4028/0-87849-999-7.566.

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Conference papers on the topic "CNC control"

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Gregoire, J. C. "Putting Intelligence In The CNC." In IECON '87: Industrial Applications of Control and Simulation, edited by Tom T. Hartley. SPIE, 1987. http://dx.doi.org/10.1117/12.942935.

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Khanna, Ankit, Ankit Kumar, Anupam Bhatnagar, Rajiv Tyagi, and Smriti Srivastava. "Low-cost production CNC system." In 2013 7th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2013. http://dx.doi.org/10.1109/isco.2013.6481210.

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Jurek, Martin, and Renata Wagnerova. "Mathematical Model of Real CNC Machine." In 2019 20th International Carpathian Control Conference (ICCC). IEEE, 2019. http://dx.doi.org/10.1109/carpathiancc.2019.8766023.

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Ivan, Martin, Martin Ernek, and Eva Miklovicova. "TwinCAT control of CNC machine over CoE." In 2019 22nd International Conference on Process Control (PC19). IEEE, 2019. http://dx.doi.org/10.1109/pc.2019.8815064.

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Rocha, Paulo, and Emilia Tostes. "Development of an Embedded CNC Control System." In 2018 13th IEEE International Conference on Industry Applications (INDUSCON). IEEE, 2018. http://dx.doi.org/10.1109/induscon.2018.8627296.

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Engkaninan, Anumat, and Chun-Liang Lin. "Adaptive cross coupling control for CNC machines." In 2015 International Automatic Control Conference (CACS). IEEE, 2015. http://dx.doi.org/10.1109/cacs.2015.7378373.

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Dong, Ning, and Hang Meng. "Optimal control of CNC machining tool movement." In 2016 2nd Workshop on Advanced Research and Technology in Industry Applications (WARTIA-16). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/wartia-16.2016.224.

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Venkatesh, S., R. Morihara, J. Michaloski, and F. Proctor. "Closed Loop CNC Manufacturing: Connecting the CNC to the Enterprise." In ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/detc2007-35760.

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Closed Loop manufacturing describes the use of feedback from a Computer Numerical Control (CNC) to the Enterprise Resource Planning (ERP) to help in business operations. Although conceptually simple, many obstacles make CNC-ERP connectivity difficult — incompatibilities of various generations of systems supplied by multiple vendors, differing personnel mindsets and objectives, and outright complexity of ERP. A long journey starts with a single step, and this paper describes a successful pilot project that detected scrap on a CNC during production of the Boeing 737 Leading Edge panels and then automatically entered a scrap reorder into the ERP Supply Chain Management (SCM) Reorder System. The pilot leveraged three major technologies, including open-architecture CNC, OLE for Process Control (OPC) integration technology, and supply chain Web Services. Overall, the pilot project successfully established that integration of CNC into SCM can be straightforward as we automated 90% of one manual step within the scrap Supply Chain Reorder process to impart a leaner manufacturing operation.
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Correa, Jorge, Nicholas Toombs, and Placid M. Ferreira. "Implementation of an Open-Architecture Control for CNC Systems Based on Open-Source Electronics." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-65964.

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Open control architectures have many advantages including increased computational resources and flexibility of reconfiguration of new manufacturing units. This paper proposes an open architecture for the control of CNC systems based on open source electronics. The software architecture in this paper is a component-based approach where each component has an independent finite state machine (FSM) model. The hardware architecture is a multiprocessor distributed controller, with different levels of processing, and adaptable for different hardware specifications. A discussion of the basic control algorithms, with examples of implementation to the open source platform Arduino, is presented as part of the methodology. Other results in this paper include the preliminary test of the control to a two-axis CNC stage and a mathematical model of the control-loop in Simulink. The architecture in this paper has the potential of transforming CNC in open source electronics from device-oriented systems to systems where users can design their controls for special purpose machines.
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Yeh, Syh-Shiuh, and Shin-Chun Su. "Design of NURBS Curve Fitting Process on CNC Machines." In 2007 American Control Conference. IEEE, 2007. http://dx.doi.org/10.1109/acc.2007.4282515.

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Reports on the topic "CNC control"

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Miller, D. J., and C. S. Loucks. An intelligent CNC machine control system architecture. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/399679.

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Horn, Karla J. CINC Control of Forces: An Analysis. Fort Belvoir, VA: Defense Technical Information Center, May 1999. http://dx.doi.org/10.21236/ada370717.

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Robinson, A., S. Kullerd, P. Schlunt, and M. Fogata. Corrosion-Control (CC) Program: SIMA Puget Sound. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada202920.

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Rutlin, Grant G. The Digital CINC: Changing Command and Control Organization Architectures for the Information Age. Fort Belvoir, VA: Defense Technical Information Center, February 2002. http://dx.doi.org/10.21236/ada401498.

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Duffy, P. PacketCable Security Ticket Control Sub-Option for the DHCP CableLabs Client Configuration (CCC) Option. RFC Editor, September 2003. http://dx.doi.org/10.17487/rfc3594.

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Askin, A., B. Buddemeier, M. Alai, and K. Yu. Centers for Disease Control and Prevention (CDC) Radiation Hazard Scale Data Product Review Feedback Report. Office of Scientific and Technical Information (OSTI), September 2017. http://dx.doi.org/10.2172/1399754.

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Schlunt, P., S. Kullerd, A. Robinson, and M. Fogata. Corrosion-Control (CC) Program: SIMA (Shore Intermediate Maintenance Activities) San Francisco. Fort Belvoir, VA: Defense Technical Information Center, April 1988. http://dx.doi.org/10.21236/ada202997.

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MAY, T. H. Interface Control Document Between the Tank Farm System and the Central Waste Complex (CWC) or the Low Level Burial Ground. Office of Scientific and Technical Information (OSTI), November 1999. http://dx.doi.org/10.2172/798653.

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Lanzara, Giulia, Lunwei Zhang, and Fu-Kuo Chang. Design of CNT Embedded Adhesive Film for Sensing, Control, and Reinforcement of PZT Actuator/Sensor Networks in Multifunctional Composites During Cure. Fort Belvoir, VA: Defense Technical Information Center, December 2010. http://dx.doi.org/10.21236/ada563591.

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Coutts, Lewis. Performance Oriented Packaging Testing of Container, SPARROW Guidance and Control Section, CNU-240/E for Packing Group II Solid Hazardous Materials. Fort Belvoir, VA: Defense Technical Information Center, November 1991. http://dx.doi.org/10.21236/ada242605.

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