A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning

Arivazhagan Anbalagan; Sheng Wang; Weidong Li

doi:10.1115/MSEC2014-4088

A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning

Arivazhagan Anbalagan, Sheng Wang, Weidong Li

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

4 Citations (Scopus)

Abstract

This paper presents a Cloud Based Feature Recognition Module (CB-FRM) developed to support Collaborative and Adaptive Process Planning for Sustainable Manufacturing Environments. In the work, the CB-FRM is developed for a Cloud-based environment and based on an innovative ‘pattern-strings’ feature recognition concept. The Cloud system is designed in a light client and heavy server architecture, where the ‘pattern-strings’-based feature recognition approach is developed and deployed. Through recognized ‘pattern-strings’, the feature recognition process is able to extract the complete information of features with its location in the plane. The detailed information of the features is then shared in a developed Cloud environment for the downstream process planning activities. The implementation aspect is explained with the help of a sample industrial part by emphasizing the importance of Cloud manufacturing environment with process planning activities.

Original language	English
Title of host publication	SME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference
Publisher	ASME
Pages	V001T04A024
Volume	1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing
ISBN (Print)	978-0-7918-4580-6
DOIs	https://doi.org/10.1115/MSEC2014-4088
Publication status	Published - 2014

Bibliographical note

This conference paper is not available on the repository. The paper was given at the ASME 2014 International Manufacturing Science and Engineering Conference, MSEC 2014 Collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference; Detroit; United States; 9 June 2014 through 13 June 2014

Keywords

Adaptive process
Cloud-based
Feature recognition

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1115/MSEC2014-4088

Cite this

Anbalagan, A., Wang, S., & Li, W. (2014). A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning. In SME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference (Vol. 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, pp. V001T04A024). ASME. https://doi.org/10.1115/MSEC2014-4088

A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning. / Anbalagan, Arivazhagan; Wang, Sheng; Li, Weidong.

SME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Vol. 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing ASME, 2014. p. V001T04A024.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

Anbalagan, A, Wang, S & Li, W 2014, A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning. in SME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. vol. 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing, ASME, pp. V001T04A024. https://doi.org/10.1115/MSEC2014-4088

Anbalagan A, Wang S, Li W. A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning. In SME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Vol. 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing. ASME. 2014. p. V001T04A024 https://doi.org/10.1115/MSEC2014-4088

Anbalagan, Arivazhagan ; Wang, Sheng ; Li, Weidong. / A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning. SME 2014 International Manufacturing Science and Engineering Conference collocated with the JSME 2014 International Conference on Materials and Processing and the 42nd North American Manufacturing Research Conference. Vol. 1: Materials; Micro and Nano Technologies; Properties, Applications and Systems; Sustainable Manufacturing ASME, 2014. pp. V001T04A024

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abstract = "This paper presents a Cloud Based Feature Recognition Module (CB-FRM) developed to support Collaborative and Adaptive Process Planning for Sustainable Manufacturing Environments. In the work, the CB-FRM is developed for a Cloud-based environment and based on an innovative {\textquoteleft}pattern-strings{\textquoteright} feature recognition concept. The Cloud system is designed in a light client and heavy server architecture, where the {\textquoteleft}pattern-strings{\textquoteright}-based feature recognition approach is developed and deployed. Through recognized {\textquoteleft}pattern-strings{\textquoteright}, the feature recognition process is able to extract the complete information of features with its location in the plane. The detailed information of the features is then shared in a developed Cloud environment for the downstream process planning activities. The implementation aspect is explained with the help of a sample industrial part by emphasizing the importance of Cloud manufacturing environment with process planning activities.",

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AB - This paper presents a Cloud Based Feature Recognition Module (CB-FRM) developed to support Collaborative and Adaptive Process Planning for Sustainable Manufacturing Environments. In the work, the CB-FRM is developed for a Cloud-based environment and based on an innovative ‘pattern-strings’ feature recognition concept. The Cloud system is designed in a light client and heavy server architecture, where the ‘pattern-strings’-based feature recognition approach is developed and deployed. Through recognized ‘pattern-strings’, the feature recognition process is able to extract the complete information of features with its location in the plane. The detailed information of the features is then shared in a developed Cloud environment for the downstream process planning activities. The implementation aspect is explained with the help of a sample industrial part by emphasizing the importance of Cloud manufacturing environment with process planning activities.

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A Cloud Based Feature Recognition System to Support Collaborative and Adaptive Process Planning

Abstract

Bibliographical note

Keywords

UN SDGs

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Cite this