A cloud based feature recognition system to support collaborative and adaptive process planning

Arivazhagan Anbalagan; Sheng Wang; Li Weidong

doi:10.1115/MSEC2014-4088

A cloud based feature recognition system to support collaborative and adaptive process planning

Arivazhagan Anbalagan^*, Sheng Wang, Li Weidong

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 'patternstrings' 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	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
Publisher	American Society of Mechanical Engineers (ASME)
Volume	1
ISBN (Print)	9780791845806
DOIs	https://doi.org/10.1115/MSEC2014-4088
Publication status	Published - 2014
Externally published	Yes
Event	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 Duration: 09 Jun 2014 → 13 Jun 2014

Conference

Conference	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
Country/Territory	United States
City	Detroit
Period	09/06/2014 → 13/06/2014

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

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., & Weidong, L. (2014). A cloud based feature recognition system to support collaborative and adaptive process planning. In 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 (Vol. 1). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/MSEC2014-4088

Anbalagan, Arivazhagan ; Wang, Sheng ; Weidong, Li. / A cloud based feature recognition system to support collaborative and adaptive process planning. 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. Vol. 1 American Society of Mechanical Engineers (ASME), 2014.

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title = "A cloud based feature recognition system to support collaborative and adaptive process planning",

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 'patternstrings' 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.",

author = "Arivazhagan Anbalagan and Sheng Wang and Li Weidong",

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publisher = "American Society of Mechanical Engineers (ASME)",

address = "United States",

note = "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 ; Conference date: 09-06-2014 Through 13-06-2014",

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Anbalagan, A, Wang, S & Weidong, L 2014, A cloud based feature recognition system to support collaborative and adaptive process planning. in 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. vol. 1, American Society of Mechanical Engineers (ASME), 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, 09/06/2014. https://doi.org/10.1115/MSEC2014-4088

A cloud based feature recognition system to support collaborative and adaptive process planning. / Anbalagan, Arivazhagan; Wang, Sheng; Weidong, Li.
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. Vol. 1 American Society of Mechanical Engineers (ASME), 2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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 'patternstrings' 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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Anbalagan A, Wang S, Weidong L. A cloud based feature recognition system to support collaborative and adaptive process planning. In 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. Vol. 1. American Society of Mechanical Engineers (ASME). 2014 doi: 10.1115/MSEC2014-4088

A cloud based feature recognition system to support collaborative and adaptive process planning

Abstract

Conference

ASJC Scopus subject areas

UN SDGs

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