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Robust thermal error modeling and compensation for CNC machine tools.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Robust thermal error modeling and compensation for CNC machine tools./
Author:	Zhu, Jie.
Description:	1 online resource (169 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 70-12, Section: B.
Contained By:	Dissertations Abstracts International70-12B.
Subject:	Mechanical engineering. -
Online resource:	click for full text (PQDT)
ISBN:	9780549817079

Robust thermal error modeling and compensation for CNC machine tools.
Zhu, Jie.

Robust thermal error modeling and compensation for CNC machine tools. - 1 online resource (169 pages)

Source: Dissertations Abstracts International, Volume: 70-12, Section: B.

Thesis (Ph.D.)--University of Michigan, 2008.

Includes bibliographical references

The importance of machine tool accuracy has been well recognized in both industry and academia due to the increased demands for products with higher accuracy and tighter tolerances. Thermal errors are one of the most significant factors affecting the machine tool accuracy. Error compensation has been widely used to reduce the thermal errors, the robustness of the thermal error models, however, still needs to be improvement. Currently, five-axis machine tools are becoming more important and extensively utilized in industry. In this regard, the geometric errors of rotary axis must be properly measured and corrected to assure the accuracy of five-axis machining. Thermal error model, relating temperature variations to thermal errors, is the core of an effective thermal error compensation strategy. Thermal modal analysis, unveiling the essence of thermo-elastic process, is explored for the determination of temperature sensor placement based on the finite element analysis and eigen analysis. The significant thermal modes are reserved through thermal mode extraction and truncation. Thermal error models are thus derived based on the temperature variations collected from the specified temperature sensors. The robustness of the derived models is investigated in terms of linear extrapolation and frequency sensitivity. Numerical simulation and experiments are conducted to illustrate the existence of thermal modes and validate the robustness of the thermal error models. Thermal loop analysis is developed for the thermal error compensation of an entire machine tool. A machine tool is first decomposed into several thermal links along an identified thermal loop. For each thermal link, the thermal modal analysis is carried out for the derivation of thermal error model. These thermal links are finally reassembled for the thermal error prediction of the entire machine tool. The whole procedures including thermal loop analysis, thermal modal analysis and thermal error modeling, are applied to an EDM machine to verify the effectiveness of this method. The thermal loop analysis mitigates the inaccurate modeling of machine joints, and extensively facilitates the utilization of the finite element method in the thermal error modeling and compensation. In addition, this methodology provides a potential framework toward the modular machine tool design. Calibration of rotary axis of five-axis machine tools is usually time-consuming and laborious by using laser interferometer or autocollimator systems; in addition, not all the error components can be measured. The Telescopic Magnetic Ball Bar is explored to estimate error components induced by the rotational motion of a rotary axis. The calibration algorithm is developed based on the rigorous mathematical derivation. The setup errors, including parameter variation and eccentricity, have been accounted for through the numerical simulation, enabling the practical utilization of this method. Error pattern of each error component is separately generated, graphically illustrating the feasibility of the calibration algorithm. Experiments are conducted to illustrate the calibration procedures. This approach shows the advantages of easy setup and quick assessment.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9780549817079Subjects--Topical Terms:

557493
Mechanical engineering.
Subjects--Index Terms:

CNC machine toolsIndex Terms--Genre/Form:

554714
Electronic books.

Robust thermal error modeling and compensation for CNC machine tools.
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500 $a Advisor: Ni, Jun;Shih, Albert J.
502 $a Thesis (Ph.D.)--University of Michigan, 2008.
504 $a Includes bibliographical references
520 $a The importance of machine tool accuracy has been well recognized in both industry and academia due to the increased demands for products with higher accuracy and tighter tolerances. Thermal errors are one of the most significant factors affecting the machine tool accuracy. Error compensation has been widely used to reduce the thermal errors, the robustness of the thermal error models, however, still needs to be improvement. Currently, five-axis machine tools are becoming more important and extensively utilized in industry. In this regard, the geometric errors of rotary axis must be properly measured and corrected to assure the accuracy of five-axis machining. Thermal error model, relating temperature variations to thermal errors, is the core of an effective thermal error compensation strategy. Thermal modal analysis, unveiling the essence of thermo-elastic process, is explored for the determination of temperature sensor placement based on the finite element analysis and eigen analysis. The significant thermal modes are reserved through thermal mode extraction and truncation. Thermal error models are thus derived based on the temperature variations collected from the specified temperature sensors. The robustness of the derived models is investigated in terms of linear extrapolation and frequency sensitivity. Numerical simulation and experiments are conducted to illustrate the existence of thermal modes and validate the robustness of the thermal error models. Thermal loop analysis is developed for the thermal error compensation of an entire machine tool. A machine tool is first decomposed into several thermal links along an identified thermal loop. For each thermal link, the thermal modal analysis is carried out for the derivation of thermal error model. These thermal links are finally reassembled for the thermal error prediction of the entire machine tool. The whole procedures including thermal loop analysis, thermal modal analysis and thermal error modeling, are applied to an EDM machine to verify the effectiveness of this method. The thermal loop analysis mitigates the inaccurate modeling of machine joints, and extensively facilitates the utilization of the finite element method in the thermal error modeling and compensation. In addition, this methodology provides a potential framework toward the modular machine tool design. Calibration of rotary axis of five-axis machine tools is usually time-consuming and laborious by using laser interferometer or autocollimator systems; in addition, not all the error components can be measured. The Telescopic Magnetic Ball Bar is explored to estimate error components induced by the rotational motion of a rotary axis. The calibration algorithm is developed based on the rigorous mathematical derivation. The setup errors, including parameter variation and eccentricity, have been accounted for through the numerical simulation, enabling the practical utilization of this method. Error pattern of each error component is separately generated, graphically illustrating the feasibility of the calibration algorithm. Experiments are conducted to illustrate the calibration procedures. This approach shows the advantages of easy setup and quick assessment.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
653 $a CNC machine tools
653 $a Error compensation
653 $a Machine accuracy
653 $a Machine tools
653 $a Thermal error
653 $a Thermal loop
653 $a Thermal modal analysis
655 7 $a Electronic books. $2 local $3 554714
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710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Michigan. $3 845400
773 0 $t Dissertations Abstracts International $g 70-12B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3329013 $z click for full text (PQDT)