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Journal articles on the topic 'Machine-tools'

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1

KAKINO, Yoshiaki. "Machine Tools." Journal of the Japan Society for Precision Engineering 75, no. 1 (2009): 80–81. http://dx.doi.org/10.2493/jjspe.75.80.

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2

TAKATA, Yoshiharu, and Akimitsu NAGAE. "History of Machine Tools and Museum of Machine Tools." Proceedings of Mechanical Engineering Congress, Japan 2020 (2020): S20105. http://dx.doi.org/10.1299/jsmemecj.2020.s20105.

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3

Corbett, J. "Smart machine tools." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 212, no. 3 (1998): 203–13. http://dx.doi.org/10.1243/0959651981539406.

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Improved manufacturing methods have become crucial factors in retaining global competitiveness for a wide range of products. This has led to the development of new automatic supervision techniques for use in smart machine tools. These are necessary because it is not possible to design and manufacture machine tool structures and systems with work zone areas of sufficient accuracy and repeatability to meet the improved performance requirements demanded by many modern manufacturing companies. The principal areas for automatic supervision of the machine tool are the tooling, appropriate machine el
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4

Moriwaki, Toshimichi. "Intelligent Machine Tools." Journal of the Society of Mechanical Engineers 96, no. 901 (1993): 1010–14. http://dx.doi.org/10.1299/jsmemag.96.901_1010.

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5

Landers, R. G., B. K. Min, and Y. Koren. "Reconfigurable Machine Tools." CIRP Annals 50, no. 1 (2001): 269–74. http://dx.doi.org/10.1016/s0007-8506(07)62120-9.

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6

Mpofu, Khumbulani. "Machine Morphology in Reconfigurable Machine Tools." IFAC Proceedings Volumes 45, no. 6 (2012): 391–98. http://dx.doi.org/10.3182/20120523-3-ro-2023.00389.

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7

ASAI, Hidekatsu. "Good Design of Machine Tools : Role of Design in Machine Tools." Journal of the Society of Mechanical Engineers 115, no. 1119 (2012): 90–92. http://dx.doi.org/10.1299/jsmemag.115.1119_90.

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8

Bauer, Joerg, Dominik Kern, Serdal Ayhan, et al. "Planar positioning stage for micro machining." Production Engineering 7 (July 3, 2013): 511–16. https://doi.org/10.1007/s11740-013-0474-2.

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The following article presents an approach for a novel positioning stage as basic component of a small machine tool. It is a parallelkinematic machine (BiGlide mechanism), which converts the linear motion of two linear axes into a planar motion. The novel features, which were identified to be crucial for the transition from conventional machine tools to small ones, are: compact and precise feed axes, backlash free motion transmission, and direct measurement of the tool-center-point position and the ability of additional fine positioning. The proposed implementations are: hydraulic feed units,
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9

Jóźwik, Jerzy. "Diagnostics of CNC machine tools spindle errors." Mechanik, no. 2 (February 2015): 127/197–127/210. http://dx.doi.org/10.17814/mechanik.2015.2.88.

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10

UENO, Shigeru. "On Machine Measuring System for Machine Tools." Journal of the Japan Society for Precision Engineering 75, no. 11 (2009): 1269–72. http://dx.doi.org/10.2493/jjspe.75.1269.

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11

Dostal, Pavel, Marek Sadilek, Jaroslav Dubsky, and Pavel Szkandera. "ACCURACY OF MACHINE TOOLS." MM Science Journal 2020, no. 1 (2020): 3832–36. http://dx.doi.org/10.17973/mmsj.2020_03_2019132.

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12

Maj, R., F. Modica, and G. Bianchi. "Machine Tools Mechatronic Analysis." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 220, no. 3 (2006): 345–53. http://dx.doi.org/10.1243/095440505x32733.

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High-speed machine tools show close interaction between the dynamic behaviour of the mechanical structure, drives, and numerical control. In order to support the designer of high-performance machines, a new analysis based on an integrated holistic mechatronic optimization technique is proposed and compared with the traditional approach. The proposed approach is applied to a three-axis milling machine for dies and mould production.
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13

UCHIYAMA, Kenji, and Yuji FURUKAWA. "Control of Machine Tools." Journal of the Society of Mechanical Engineers 103, no. 983 (2000): 695–98. http://dx.doi.org/10.1299/jsmemag.103.983_695.

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14

Tanaka, Katsutoshi. "Scraping and Machine Tools." Journal of the Society of Mechanical Engineers 103, no. 985 (2000): 789–91. http://dx.doi.org/10.1299/jsmemag.103.985_789.

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15

Živanović, Saša, Slobodan Tabaković, and Zoran Dimić. "Hybrid kinematic machine tools." Tehnika 79, no. 4 (2024): 445–50. http://dx.doi.org/10.5937/tehnika2404445z.

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Significant direction for the innovation and development of new machine tool is a developing a hybrid kinematic machine (HKM) which have the respective advantages of serial and parallel mechanism. This paper considers the developed domestic configurations of HKM. The paper presents the developed original HKM configurations in University of Belgrade Faculty of Mechanical Engineering and Faculty of Technical Science University of Novi Sad.
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16

ANDO, Tomoharu. "Smartmaintenance for machine tools." Proceedings of Mechanical Engineering Congress, Japan 2019 (2019): F25204. http://dx.doi.org/10.1299/jsmemecj.2019.f25204.

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17

Koren, Yoram. "Control of Machine Tools." Journal of Manufacturing Science and Engineering 119, no. 4B (1997): 749–55. http://dx.doi.org/10.1115/1.2836820.

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This paper reviews the progress in machine tool control during the last three decades. Three types of controls are discussed: (i) Servocontrol loops that control the individual axes of the machine, (ii) interpolators that coordinate the motion of several axes, and (iii) adaptive control that adjusts the cutting variables in real time to maximize system performance. We cover a selection of the most advanced techniques utilized in each of these types, and draw conclusions based on experimental results.
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18

Savinov, Yu I. "Diagnostics of machine tools." Russian Engineering Research 28, no. 12 (2008): 1224–30. http://dx.doi.org/10.3103/s1068798x08120150.

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19

Tugengol’d, A. K., V. P. Dimitrov, R. N. Voloshin, and L. V. Borisova. "Monitoring of machine tools." Russian Engineering Research 37, no. 8 (2017): 723–27. http://dx.doi.org/10.3103/s1068798x17080196.

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20

Denkena, Berend, Eberhard Abele, Christian Brecher, Marc-André Dittrich, Sami Kara, and Masahiko Mori. "Energy efficient machine tools." CIRP Annals 69, no. 2 (2020): 646–67. http://dx.doi.org/10.1016/j.cirp.2020.05.008.

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21

Kern, Dominik, Malte Roesner, Elisabeth Bauma, Wolfgang Seemann, Rolf Lammering, and Thomas Schuster. "Key features of flexure hinges used as rotational joints." Forschung im Ingenieurwesen 77 (October 23, 2013): 117–25. https://doi.org/10.1007/s10010-013-0169-z.

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This article is supposed to serve as a guide for the design of flexure hinges that act as rotational joints. Firstly, flexure hinges with concentrated and distributed compliance are reviewed. They can be modeled by linear beam theories or by the theory of Elastica, respectively. Secondly, the transition between these limit cases is investigated by finite element methods (FEM). A planar symmetric flexure hinge with a circular notch serves as an exemplary geometry. By extending the notch the compliance is distributed. The deflection curves and the kinetics of desired and parasitic motions are ch
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22

Kastberg, Peter, and Thomas Buch Andersson. "Machine Translation Tools - Tools of the Translator’s Trade." Communication & Language at Work 1, no. 1 (2012): 34. http://dx.doi.org/10.7146/claw.v1i1.7238.

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In this article three of the more common types of translation tools are presented, discussed and critically evaluated. The types of translation tools dealt with in this article are: Fully Automated Machine Translation (or FAMT), Human Aided Machine Translation (or HAMT) and Machine Aided Human Translation (or MAHT). The strengths and weaknesses of the different types of tools are discussed and evaluated by means of a number of examples. The article aims at two things: at presenting a sort of state of the art of what is commonly referred to as “machine translation” as well as at providing the r
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23

TAJIMA, TAKUJI. "Accuracy of ultraprecision machine tools." Journal of the Japan Society for Precision Engineering 52, no. 8 (1986): 1289–91. http://dx.doi.org/10.2493/jjspe.52.1289.

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24

MATSUMURA, YUTAKA. "Software environment for machine-tools." Journal of the Japan Society for Precision Engineering 52, no. 5 (1986): 805–7. http://dx.doi.org/10.2493/jjspe.52.805.

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25

Vesely, Jan, Jan Smolik, Pavel Rybar, et al. "SYNERGETIC DEVELOPMENT OF MACHINE TOOLS." MM Science Journal 2012, no. 01 (2012): 299–303. http://dx.doi.org/10.17973/mmsj.2012_03_201202.

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26

Martinova, L. I., and G. M. Martinov. "Prospects for CNC Machine Tools." Russian Engineering Research 39, no. 12 (2019): 1080–83. http://dx.doi.org/10.3103/s1068798x19120153.

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27

Jing, Huaijing. "Research on virtual machine tools." Chinese Journal of Mechanical Engineering (English Edition) 15, supp (2002): 139. http://dx.doi.org/10.3901/cjme.2002.supp.139.

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28

MATSUBARA, Atsushi. "Measurement Technologies for Machine tools." Journal of the Japan Society for Precision Engineering 83, no. 3 (2017): 191–94. http://dx.doi.org/10.2493/jjspe.83.191.

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29

KATADA, Kanji. "Construction Equipments and Machine Tools." JOURNAL OF THE JAPAN WELDING SOCIETY 77, no. 5 (2008): 490–92. http://dx.doi.org/10.2207/jjws.77.490.

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30

NAKAJIMA, Toru. "Construction Equipments and Machine Tools." JOURNAL OF THE JAPAN WELDING SOCIETY 79, no. 5 (2010): 488–89. http://dx.doi.org/10.2207/jjws.79.488.

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31

KATADA, Kanji. "Construction Equipments and Machine Tools." JOURNAL OF THE JAPAN WELDING SOCIETY 81, no. 5 (2012): 428–29. http://dx.doi.org/10.2207/jjws.81.428.

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32

Prodan, Dan, Anca Bucuresteanu, Tiberiu Dobrescu, and Adrian Motomancea. "Rotary Tables for Machine Tools." Applied Mechanics and Materials 841 (June 2016): 168–72. http://dx.doi.org/10.4028/www.scientific.net/amm.841.168.

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In this paper the authors present some theoretical and experimental research carried out during the manufacture of a rotary table for CNC machine-tools AF type. There are shown the calculation methods in static and dynamic conditions for the indexable rotary tables and also for those that operate as numerically controlled “B” axes. The calculation methods were tested by manufacturing several such tables intended for the machines belonging to AF(P)100-180 range.
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33

KOIVUNEN, V., and J. M. VEZIEN. "MACHINE VISION TOOLS FOR CAGD." International Journal of Pattern Recognition and Artificial Intelligence 10, no. 02 (1996): 165–82. http://dx.doi.org/10.1142/s0218001496000141.

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In this paper, the problem of constructing geometric models from data provided by 3-D imaging sensors is addressed. Such techniques allow for rapid modeling of sculptured free-form shapes and generation of geometric models for existing parts. In order for a complete data set to be obtained, multiple images, each from a different viewpoint, have to be merged. A technique stemming from the Iterative Closest Point (ICP) method for estimating the relative transformations among the viewpoints is developed. Computational solutions are provided for estimating shape from noisy sensory measurements usi
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34

HARRIS, C. G., J. H. WILLIAMS, and A. DAVIES. "Condition monitoring of machine tools." International Journal of Production Research 27, no. 9 (1989): 1445–64. http://dx.doi.org/10.1080/00207548908942633.

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35

FUJISHIMA, Makoto. "Safety Design for Machine Tools." Journal of the Society of Mechanical Engineers 110, no. 1067 (2007): 788–91. http://dx.doi.org/10.1299/jsmemag.110.1067_788.

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36

YAMAMOTO, Toru, and Hiroto YONEZU. "Manufacturing Education using Machine Tools." Journal of JSEE 72, no. 5 (2024): 5_111–5_116. http://dx.doi.org/10.4307/jsee.72.5_111.

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37

Zatarain, M., E. Lejardi, F. Egaña, and R. Bueno. "Modular Synthesis of Machine Tools." CIRP Annals 47, no. 1 (1998): 333–36. http://dx.doi.org/10.1016/s0007-8506(07)62845-5.

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38

Portman, V. T., and V. G. Shuster. "Layout errors of machine tools." International Journal of Machine Tools and Manufacture 37, no. 10 (1997): 1485–97. http://dx.doi.org/10.1016/s0890-6955(97)00015-1.

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39

Wulfsberg, Jens Peter, Alexander Verl, Karl-Heinz Wurst, Silka Grimske, Christoph Batke, and Tobias Heinze. "Modularity in small machine tools." Production Engineering 7, no. 5 (2013): 483–90. http://dx.doi.org/10.1007/s11740-013-0464-4.

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40

Faskhieva, Z. R., and R. M. Khusainov. "Rebuilding of heavy machine tools." IOP Conference Series: Materials Science and Engineering 570 (August 15, 2019): 012017. http://dx.doi.org/10.1088/1757-899x/570/1/012017.

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41

EBA, Kouji, and Koichi SAIJO. "Safety Standards for Machine Tools." Journal of the Japan Society for Precision Engineering 78, no. 7 (2012): 567–72. http://dx.doi.org/10.2493/jjspe.78.567.

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42

Shevchuk, S. A. "Cast iron in machine tools." Russian Engineering Research 28, no. 9 (2008): 901–3. http://dx.doi.org/10.3103/s1068798x08090153.

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43

Bazrov, B. M. "Modular design of machine tools." Russian Engineering Research 31, no. 11 (2011): 1084–86. http://dx.doi.org/10.3103/s1068798x11110049.

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44

Kudoyarov, R. G., V. N. Zharinov, V. L. Zinov, E. M. Durko, and R. R. Basharov. "Improving automatically controlled machine tools." Russian Engineering Research 32, no. 1 (2012): 85–89. http://dx.doi.org/10.3103/s1068798x12010169.

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45

Gribkov, A. A., A. A. Kornienko, and D. V. Zakharchenko. "Competitiveness of Russian machine tools." Russian Engineering Research 33, no. 6 (2013): 348–51. http://dx.doi.org/10.3103/s1068798x13060063.

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46

Palaščáková, Dominika, and Peter Demeč. "Virtual Analysis of Machine Tools." Acta Mechanica Slovaca 21, no. 4 (2017): 44–50. http://dx.doi.org/10.21496/ams.2017.036.

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47

Moon ,, Yong-Mo, and Sridhar Kota,. "Design of Reconfigurable Machine Tools." Journal of Manufacturing Science and Engineering 124, no. 2 (2002): 480–83. http://dx.doi.org/10.1115/1.1452748.

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In this paper, we present a systematic methodology for designing Reconfigurable Machine Tools (RMTs). The synthesis methodology takes as input a set of functional requirements—a set of process plans and generates a set of kinematically viable reconfigurable machine tools that meet the given design specifications. We present a mathematical framework for synthesis of machine tools using a library of building blocks. The framework is rooted in (a) graph theoretic methods of enumeration of alternate structural configurations and (b) screw theory that enables us to manipulate matrix representations
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48

Oda, Yohei, Makoto Fujishima, Yoshikazu Kawamura, and Morihiro Hideta. "Energy Reduction of Machine Tools." Key Engineering Materials 523-524 (November 2012): 985–90. http://dx.doi.org/10.4028/www.scientific.net/kem.523-524.985.

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Machine tools, which are used in factories for long hours and many years, have a great influence on power consumption of the factories. Therefore, reducing machine tool power consumption is one of the important subjects for today’s machine tool manufacturers. In this paper, we will report on our ongoing efforts to improve energy efficiency of machine tools.
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49

Singh, Ashutosh, Mohammad Asjad, and Piyush Gupta. "Reconfigurable machine tools: a perspective." Life Cycle Reliability and Safety Engineering 8, no. 4 (2019): 365–76. http://dx.doi.org/10.1007/s41872-019-00096-x.

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50

Neugebauer, R., B. Denkena, and K. Wegener. "Mechatronic Systems for Machine Tools." CIRP Annals 56, no. 2 (2007): 657–86. http://dx.doi.org/10.1016/j.cirp.2007.10.007.

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