1996 Fiscal Year Final Research Report Summary
Development of high precision coordinate measurement machine with internal monitoring and thermal deformation compensation capability
| Project/Area Number |
07555357
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| Research Category |
Grant-in-Aid for Scientific Research (A)
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| Allocation Type | Single-year Grants |
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| Section | 試験 |
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| Research Field |
機械工作・生産工学
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| Research Institution | The University of Tokyo |
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Principal Investigator |
NAGAO Takaaki The University of Tokyo, Faculty of Engineering, Professor, 大学院・工学系研究科, 教授 (80010685)
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| Co-Investigator(Kenkyū-buntansha) |
FUKUI Toyoharu Tokyo Seimitsu, Production Division, Measurement Group, Group Leader, 生産本部・汎用計測機器グループ, グループリーダ
NAKAO Masayuki The University of Tokyo, Faculty of Engineering, Associate professor, 大学院・工学系研究科, 助教授 (90242007)
HATAMURA Yotaro The University of Tokyo, Faculty of Engineering, Professor, 大学院・工学系研究科, 教授 (40010863)
MITSUISHI Mamoru The University of Tokyo, Faculty of Engineering, Associate Professor, 大学院・工学系研究科, 助教授 (90183110)
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| Project Period (FY) |
1995 – 1996
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| Keywords | Coordinate Measurement Machine / Thermal Deformation / Deformation Sensor / Variable Temperature Environment / Neural Network / Genetic Algorithm / On-One Site / Internal Monitoring |
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| Research Abstract |
To measure a mechanical part in high accuracy, a coordinate measurement machine (CMM) is generally located in the constant temperature room. However, it is rather difficult to locate a manufacturing tool in the constant temperature room. Therefore, clamp and unclamp sequences are repeated for machining and measurement. It reduces the machining accuracy. To overcome the problem, a coordinate measurement machine with high accuracy even in the variable temperature condition was developed in this research.
Ten deformation sensors were attached on the structure of the CMM.As the deformation sensor is made of super-invar material with very low thermal expansion, only the thermal distortion of the machine itself is measured without influence of the thermal changes in the environment or in the machine structure.
In the experiment the standard gauge was made using super-invar material. To compensate for the thermal deformation, a measurement space compensation matrix was prepared. Each element of the compensation matrix was calculated by a neural network integrated with genetic algorithm. The input to the neural network is the output from deformation sensors and temperature information of air and optical scales.
Edge length and angle between two edges were maintained less than 15% and 30%, respectively.
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Research Products
(14 results)
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[Publications] Mitsuishi, M., Okumura, T., Sugita, N., Nagao, T.and Hatamura, Y.: ""Development of a high precision machining center using neural network and genetic algorithm, "" J.JSME. vol.61, no.591, C. 4517-4522 (1995)
Description
「研究成果報告書概要(欧文)」より
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[Publications] Mitsuishi, M., Okumura, T., Sugita, N., Nagao, T.and Hatamura, Y.: ""Thermal Defoemation Compensation for a MC and a CMM Based on Internal Monitoring Using a Neural Network with a Genetic Algorithm, "" CIRP VII Workshop on Supervising and Diagnostics of Machining Systems-Thermal Behavior Inteliigent Diagnostics and Suoervising of Machining Systems Karpacz, Poland-. 66-78 (1996)
Description
「研究成果報告書概要(欧文)」より
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[Publications] Okumura, T., Mitsuishi, M., Nagao, T., Nakao, M., Fukui, T.and Yoshioka, H.: ""High precision coordinate measurement machine in variable temperature environment, "" Prepr.Jpn.Soc.Prec.Eng.(Autumn Meeting). 559-560 (1995)
Description
「研究成果報告書概要(欧文)」より
