NDLI: A Virtual Testing Framework for Engineering Product Development

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Byung, C. Jung Byeng, D. Youn Kim, Ji Sun
Copyright Year	2012
Abstract	Virtual testing is a new engineering development trend to design, evaluate, and test new engineered products. This research proposes a virtual testing framework for new product development using three successive steps: (i) statistical model calibration, (ii) hypothesis test for validity check and (iii) virtual qualification. Statistical model calibration first improves the predictive capability of a computational model over a calibration domain. Next, the hypothesis test is performed under limited observed data to see if a calibrated model is sufficiently predictive for virtual testing of a new design. A u-pooling metric is employed for the hypothesis test to measure the degree of mismatch between predicted and observed results while considering uncertainty in the u-pooling metric due to the lack of experimental data. The calibrated model can be rejected only when the measured metric of the calibrated model strongly suggest that the null hypothesis—the calibrated model is valid—is false. If the null hypothesis is accepted, the virtual qualification process can be executed with a qualified model for new product developments. The qualification process builds a design decision matrix to aid in rational decision-making on the product developments. A computational model of a tire tread block was used to demonstrate the effectiveness of the proposed framework.
Sponsorship	Design Engineering Division Computers and Information in Engineering Division
Starting Page	1179
Ending Page	1186
Page Count	8
File Format	PDF
ISBN	9780791845028
DOI	10.1115/DETC2012-70530
Volume Number	Volume 3: 38th Design Automation Conference, Parts A and B
Conference Proceedings	ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2012-08-12
Publisher Place	Chicago, Illinois, USA
Access Restriction	Subscribed
Subject Keyword	Design Uncertainty Decision making Product development Calibration Tire tread Testing
Content Type	Text
Resource Type	Article

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