Abstract
In this paper methods from the meta- or surrogate modeling literature are used to build models for predicting the response of a reconfigurable mould system. The proposed methods are difference methods constructed from the methods kriging and proper orthogonal decomposition (POD) together with a spline-based coarse model. Four different models, namely kriging and POD with kriging of the coefficients in global and local variants, are compared in terms of accuracy and numerical efficiency on data sets of different sizes. It is shown that the POD methods are vastly superior for the treated problem.
Original language | English |
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Title of host publication | Advanced Manufacturing |
Volume | 2B-2015 |
Publisher | American Society of Mechanical Engineers |
Publication date | 1 Jan 2015 |
ISBN (Electronic) | 9780791857366 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Event | ASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015 - Houston, United States Duration: 13 Nov 2015 → 19 Nov 2015 |
Conference
Conference | ASME 2015 International Mechanical Engineering Congress and Exposition, IMECE 2015 |
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Country/Territory | United States |
City | Houston |
Period | 13/11/2015 → 19/11/2015 |
Sponsor | American Society of Mechanical Engineers (ASME) |