The Process Quality Control Method Based on Coupling Machining Sensor Network
To monitor the dynamic changes of process quality and reduce the quality fluctuation in machining process, a process quality control method based on coupling machining sensor network (CMSN) is proposed to improve product quality. The advantage of CMSN is to combine the complex network with sensor te...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2014-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2014/213040 |
| _version_ | 1797712155231911936 |
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| author | Liping Zhao Guangzhou Diao Yiyong Yao |
| author_facet | Liping Zhao Guangzhou Diao Yiyong Yao |
| author_sort | Liping Zhao |
| collection | DOAJ |
| description | To monitor the dynamic changes of process quality and reduce the quality fluctuation in machining process, a process quality control method based on coupling machining sensor network (CMSN) is proposed to improve product quality. The advantage of CMSN is to combine the complex network with sensor technology. The purpose of this paper is to explore influence of coupling relationships between machining errors on the product quality by analyzing the stability of CMSN. Firstly, the mapping rules between machining process and network elements are provided to construct the topological model of CMSN. Next some performance indices of sensor nodes are defined and calculated to explore the self-organization stability of CMSN so that the appropriate sensor configuration can be selected to ensure the local stability of machining process. On this basis, the whole stability of CMSN is investigated by analyzing the nodes coupling so that the error accumulations are analyzed to improve product quality. Finally, a case study is provided to verify the feasibility of proposed method, in which Monte Carlo simulation is used to produce required quality data. The whole stability of CMSN for blade machining is discussed. It is expected that the proposed method can provide some guidance for machining process. |
| first_indexed | 2024-03-12T07:17:36Z |
| format | Article |
| id | doaj.art-d7f68afc83e5449da87bb24b2e489d2d |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T07:17:36Z |
| publishDate | 2014-05-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-d7f68afc83e5449da87bb24b2e489d2d2023-09-02T22:42:53ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772014-05-011010.1155/2014/213040213040The Process Quality Control Method Based on Coupling Machining Sensor NetworkLiping Zhao0Guangzhou Diao1Yiyong Yao2 State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, ChinaTo monitor the dynamic changes of process quality and reduce the quality fluctuation in machining process, a process quality control method based on coupling machining sensor network (CMSN) is proposed to improve product quality. The advantage of CMSN is to combine the complex network with sensor technology. The purpose of this paper is to explore influence of coupling relationships between machining errors on the product quality by analyzing the stability of CMSN. Firstly, the mapping rules between machining process and network elements are provided to construct the topological model of CMSN. Next some performance indices of sensor nodes are defined and calculated to explore the self-organization stability of CMSN so that the appropriate sensor configuration can be selected to ensure the local stability of machining process. On this basis, the whole stability of CMSN is investigated by analyzing the nodes coupling so that the error accumulations are analyzed to improve product quality. Finally, a case study is provided to verify the feasibility of proposed method, in which Monte Carlo simulation is used to produce required quality data. The whole stability of CMSN for blade machining is discussed. It is expected that the proposed method can provide some guidance for machining process.https://doi.org/10.1155/2014/213040 |
| spellingShingle | Liping Zhao Guangzhou Diao Yiyong Yao The Process Quality Control Method Based on Coupling Machining Sensor Network International Journal of Distributed Sensor Networks |
| title | The Process Quality Control Method Based on Coupling Machining Sensor Network |
| title_full | The Process Quality Control Method Based on Coupling Machining Sensor Network |
| title_fullStr | The Process Quality Control Method Based on Coupling Machining Sensor Network |
| title_full_unstemmed | The Process Quality Control Method Based on Coupling Machining Sensor Network |
| title_short | The Process Quality Control Method Based on Coupling Machining Sensor Network |
| title_sort | process quality control method based on coupling machining sensor network |
| url | https://doi.org/10.1155/2014/213040 |
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