Academic excellence in manufacturing engineering
Manufacturing Systems are inherently complex and interdisciplinary, and are normally analyzed in a piecewise fashion using experimental techniques which provide relatively little physical insight or theoritical methods brrowed from other disciplines (e.g., structural mechanics, control theory, etc.)...
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| Published in | Robotics and computer-integrated manufacturing Vol. 1; no. 3; pp. 417 - 421 |
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| Main Authors | , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
1984
|
| Online Access | Get full text |
| ISSN | 0736-5845 1879-2537 |
| DOI | 10.1016/0736-5845(84)90031-0 |
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| Abstract | Manufacturing Systems are inherently complex and interdisciplinary, and are normally analyzed in a piecewise fashion using experimental techniques which provide relatively little physical insight or theoritical methods brrowed from other disciplines (e.g., structural mechanics, control theory, etc.). For these reasons Manufacturing Engineering is often considered an unscientific and intuitive subject. With the increasing demand for manufacturing systems to operate at higher production rates without human intervention to reduce manufacturing costs, it is becoming increasingly important to develop scientifically based, general, and efficient analysis tools specifically tailored to the complex interdisciplinary problems encountered in Manufacturing Engineering. In addition to having direct practical benefits, such tools would stimulate academic interest in this field and help alleviate current academic and industrial personnel shortages in the manufacturing area.
This paper describes one such analysis tool, the Dynamic Data System (D.D.S.) methodology, which has been developed at the University of Wisconsin. The D.D.S. methodology combines time series and systems analysis concepts in a computer-based modeling strategy for obtaining a physically meaningfully model of a system directly from input and output data in the form of stochastic difference/differential equations. The methodology can be applied to forecasting, control, system identification, characterization, signature analysis, and design. The basic features of the methodology, representative applications to the on-line detection and suppression of chatter in turning and the active compensation for roundness errors in boring, and areas for future development are discussed. |
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| AbstractList | Manufacturing Systems are inherently complex and interdisciplinary, and are normally analyzed in a piecewise fashion using experimental techniques which provide relatively little physical insight or theoritical methods brrowed from other disciplines (e.g., structural mechanics, control theory, etc.). For these reasons Manufacturing Engineering is often considered an unscientific and intuitive subject. With the increasing demand for manufacturing systems to operate at higher production rates without human intervention to reduce manufacturing costs, it is becoming increasingly important to develop scientifically based, general, and efficient analysis tools specifically tailored to the complex interdisciplinary problems encountered in Manufacturing Engineering. In addition to having direct practical benefits, such tools would stimulate academic interest in this field and help alleviate current academic and industrial personnel shortages in the manufacturing area.
This paper describes one such analysis tool, the Dynamic Data System (D.D.S.) methodology, which has been developed at the University of Wisconsin. The D.D.S. methodology combines time series and systems analysis concepts in a computer-based modeling strategy for obtaining a physically meaningfully model of a system directly from input and output data in the form of stochastic difference/differential equations. The methodology can be applied to forecasting, control, system identification, characterization, signature analysis, and design. The basic features of the methodology, representative applications to the on-line detection and suppression of chatter in turning and the active compensation for roundness errors in boring, and areas for future development are discussed. |
| Author | Stephenson, D.A. Wu, S.M. |
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| Cites_doi | 10.1016/0020-7357(69)90013-4 10.1115/1.3439302 |
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| Copyright | 1984 |
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| References | Huang (BIB6) 1984 Eman, Wu (BIB5) 1980; 102 Rao, Wu (BIB13) 1981 Burney, Pandit, Wu (BIB2) 1976; 98 Box, G.E.P., Jenkins, G.M. Wiener (BIB17) 1949 rev. ed. Holden-Day, San Francisco. Kolmogorov (BIB9) 1941; 50 Pandit, Wu (BIB12) 1983 Stralkowski, DeVor, Wu (BIB14) 1969; 9 Yang, Hsieh, Wu (BIB19) 14–19 Nov., 1982 Burney, Pandit, Wu (BIB3) 1977; 99 Eman (BIB4) 1979 Kolmogorov (BIB8) 1941; 2 Kim, Eman, Wu (BIB7) 1983; 9 Lai (BIB10) 1984 Subramanian, DeVries, Wu (BIB15) 1976; 96 Wu (BIB18) 1977; 99B Moon (BIB11) 1984 Tsai, Eman, Wu (BIB16) 1983 Burney (10.1016/0736-5845(84)90031-0_BIB3) 1977; 99 Kolmogorov (10.1016/0736-5845(84)90031-0_BIB8) 1941; 2 Eman (10.1016/0736-5845(84)90031-0_BIB5) 1980; 102 Huang (10.1016/0736-5845(84)90031-0_BIB6) 1984 Kolmogorov (10.1016/0736-5845(84)90031-0_BIB9) 1941; 50 Wu (10.1016/0736-5845(84)90031-0_BIB18) 1977; 99B Kim (10.1016/0736-5845(84)90031-0_BIB7) 1983; 9 Pandit (10.1016/0736-5845(84)90031-0_BIB12) 1983 Wiener (10.1016/0736-5845(84)90031-0_BIB17) 1949 Yang (10.1016/0736-5845(84)90031-0_BIB19) 1982 Rao (10.1016/0736-5845(84)90031-0_BIB13) 1981 Stralkowski (10.1016/0736-5845(84)90031-0_BIB14) 1969; 9 10.1016/0736-5845(84)90031-0_BIB1 Burney (10.1016/0736-5845(84)90031-0_BIB2) 1976; 98 Tsai (10.1016/0736-5845(84)90031-0_BIB16) 1983 Moon (10.1016/0736-5845(84)90031-0_BIB11) 1984 Eman (10.1016/0736-5845(84)90031-0_BIB4) 1979 Lai (10.1016/0736-5845(84)90031-0_BIB10) 1984 Subramanian (10.1016/0736-5845(84)90031-0_BIB15) 1976; 96 |
| References_xml | – year: 1979 ident: BIB4 article-title: Machine tool system identification and forecasting control of chatter publication-title: Ph.D. thesis – reference: , rev. ed. Holden-Day, San Francisco. – year: 14–19 Nov., 1982 ident: BIB19 article-title: Adaptive Modeling and characterization for control of chatter publication-title: 103rd Winter Annual Meeting ASME – volume: 2 year: 1941 ident: BIB8 article-title: Stationary sequences in Hilbert space publication-title: Bull. Moscow Univ. – volume: 99 year: 1977 ident: BIB3 article-title: A new approach to the analysis of machine tool system stability under working conditions publication-title: J. Engng Indust. Trans. ASME, Series B – year: 1949 ident: BIB17 article-title: Extrapolation, Interpolation, and Smoothing of Stationary Time Series – year: 1984 ident: BIB10 article-title: Development of non-linear dynamic data system (NLDDS) for on-line machining vibratory system characterisation publication-title: Ph.D. thesis – volume: 9 start-page: 145 year: 1969 end-page: 163 ident: BIB14 article-title: Characterization of grinding wheel profiles by autoregressive-moving average models publication-title: Int. J. Mach. Tool Des. Res. – year: 1984 ident: BIB6 article-title: Forecasting compensatory control of roundness in boring publication-title: Ph.D. thesis – volume: 98 start-page: 585 year: 1976 end-page: 590 ident: BIB2 article-title: A stochastic approach to characterization of machine tool system dynamics under actual working conditions publication-title: J. Engng Indust., Trans. ASME, Series B – year: 1983 ident: BIB12 publication-title: Time Series and System Analysis with Applications – start-page: 399 year: 1983 end-page: 402 ident: BIB16 article-title: Chatter Suppression in Turning publication-title: Proceedings of NAMRC XI – reference: Box, G.E.P., Jenkins, G.M.: – volume: 9 start-page: 75 year: 1983 end-page: 81 ident: BIB7 article-title: Forecasting compensatory control of spindle error motion in cylindrical grinding publication-title: ASME, Statistics in Manufacturing, PED – year: 1984 ident: BIB11 article-title: Forecasting compensatory control of machining straightness publication-title: Ph.D. thesis – volume: 99B start-page: 708 year: 1977 end-page: 714 ident: BIB18 article-title: Dynamic data system—a new modeling technique publication-title: Trans. ASME, J. Engng Ind. – volume: 50 start-page: 3 year: 1941 ident: BIB9 article-title: Interpolation und Extraplation von Stationaren Zulfulligen Folgen publication-title: Bull. Acad. Nauk. USSR, Ser. Math. – year: 1981 ident: BIB13 article-title: Compensatory control of roundness error in cylindrical chuck grinding publication-title: Presented at the ASME Winter Annual Meeting – volume: 96 year: 1976 ident: BIB15 article-title: An investigation of computer control of machining chatter publication-title: J. Engng Indust. Trans. ASME, Series B – volume: 102 year: 1980 ident: BIB5 article-title: A feasibility study of on-line identification of chatter in turning operations publication-title: J. Engng Indust. – volume: 98 start-page: 585 year: 1976 ident: 10.1016/0736-5845(84)90031-0_BIB2 article-title: A stochastic approach to characterization of machine tool system dynamics under actual working conditions publication-title: J. Engng Indust., Trans. ASME, Series B – volume: 96 issue: No. 4 year: 1976 ident: 10.1016/0736-5845(84)90031-0_BIB15 article-title: An investigation of computer control of machining chatter publication-title: J. Engng Indust. Trans. ASME, Series B – start-page: 399 year: 1983 ident: 10.1016/0736-5845(84)90031-0_BIB16 article-title: Chatter Suppression in Turning – volume: 2 year: 1941 ident: 10.1016/0736-5845(84)90031-0_BIB8 article-title: Stationary sequences in Hilbert space publication-title: Bull. Moscow Univ. – year: 1982 ident: 10.1016/0736-5845(84)90031-0_BIB19 article-title: Adaptive Modeling and characterization for control of chatter – year: 1981 ident: 10.1016/0736-5845(84)90031-0_BIB13 article-title: Compensatory control of roundness error in cylindrical chuck grinding – year: 1949 ident: 10.1016/0736-5845(84)90031-0_BIB17 – year: 1979 ident: 10.1016/0736-5845(84)90031-0_BIB4 article-title: Machine tool system identification and forecasting control of chatter – year: 1984 ident: 10.1016/0736-5845(84)90031-0_BIB10 article-title: Development of non-linear dynamic data system (NLDDS) for on-line machining vibratory system characterisation – year: 1984 ident: 10.1016/0736-5845(84)90031-0_BIB11 article-title: Forecasting compensatory control of machining straightness – year: 1984 ident: 10.1016/0736-5845(84)90031-0_BIB6 article-title: Forecasting compensatory control of roundness in boring – volume: 9 start-page: 75 year: 1983 ident: 10.1016/0736-5845(84)90031-0_BIB7 article-title: Forecasting compensatory control of spindle error motion in cylindrical grinding publication-title: ASME, Statistics in Manufacturing, PED – year: 1983 ident: 10.1016/0736-5845(84)90031-0_BIB12 – volume: 99 year: 1977 ident: 10.1016/0736-5845(84)90031-0_BIB3 article-title: A new approach to the analysis of machine tool system stability under working conditions publication-title: J. Engng Indust. Trans. ASME, Series B – ident: 10.1016/0736-5845(84)90031-0_BIB1 – volume: 9 start-page: 145 year: 1969 ident: 10.1016/0736-5845(84)90031-0_BIB14 article-title: Characterization of grinding wheel profiles by autoregressive-moving average models publication-title: Int. J. Mach. Tool Des. Res. doi: 10.1016/0020-7357(69)90013-4 – volume: 102 year: 1980 ident: 10.1016/0736-5845(84)90031-0_BIB5 article-title: A feasibility study of on-line identification of chatter in turning operations publication-title: J. Engng Indust. – volume: 99B start-page: 708 year: 1977 ident: 10.1016/0736-5845(84)90031-0_BIB18 article-title: Dynamic data system—a new modeling technique publication-title: Trans. ASME, J. Engng Ind. doi: 10.1115/1.3439302 – volume: 50 start-page: 3 year: 1941 ident: 10.1016/0736-5845(84)90031-0_BIB9 article-title: Interpolation und Extraplation von Stationaren Zulfulligen Folgen publication-title: Bull. Acad. Nauk. USSR, Ser. Math. |
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