Large volume metrology process model: measurability analysis with integration of metrology classification model and feature-based selection model
Cheng, C. H., Huo, D. H., Zhang, X., Dai, W. and Maropoulos, P. G., 2010. Large volume metrology process model: measurability analysis with integration of metrology classification model and feature-based selection model. In: Huang, G. Q., Mak, K. L. and Maropoulos, P. G., eds. Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Vol. 66. Springer, pp. 1013-1026. (Advances in Intelligent and Soft Computing)
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Aircraft manufacturing industries are looking for solutions in order to increase their productivity. One of the solutions is to apply the metrology systems during the production and assembly processes. Metrology Process Model (MPM) (Maropoulos et al, 2007) has been introduced which emphasises metrology applications with assembly planning, manufacturing processes and product designing. Measurability analysis is part of the MPM and the aim of this analysis is to check the feasibility for measuring the designed large scale components. Measurability Analysis has been integrated in order to provide an efficient matching system. Metrology database is structured by developing the Metrology Classification Model. Furthermore, the feature-based selection model is also explained. By combining two classification models, a novel approach and selection processes for integrated measurability analysis system (MAS) are introduced and such integrated MAS could provide much more meaningful matching results for the operators.
|Item Type||Book Sections|
|Creators||Cheng, C. H., Huo, D. H., Zhang, X., Dai, W. and Maropoulos, P. G.|
|Editors||Huang, G. Q., Mak, K. L. and Maropoulos, P. G.|
|Uncontrolled Keywords||measurability analysis, feature-based selection model, metrology classification model, process modelling, assembly planning|
|Departments||Faculty of Engineering & Design > Mechanical Engineering|
|Additional Information||6th International Conference on Digital Enterprise Technology Dec 14-16, 2009. Hong Kong, Peoples Rebulic of China|
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