# Coupling material and mechanical design processes via computer model   calibration

**Authors:** Carl Ehrett, D. Andrew Brown, Evan Chodora, Christopher Kitchens, and, Sez Atamturktur

arXiv: 1907.09553 · 2020-01-14

## TL;DR

This paper presents a novel approach to integrate material and mechanical design processes by repurposing calibration techniques to align material properties with engineering performance targets, demonstrated on wind turbine blades.

## Contribution

It introduces a method to couple material and mechanical design via computer model calibration, enabling targeted material design with uncertainty quantification.

## Key findings

- Successful calibration of material settings to wind turbine blade performance
- Quantification of uncertainty in material and design parameters
- Bridging material and mechanical design processes

## Abstract

Computer model calibration typically operates by choosing parameter values in a computer model so that the model output faithfully predicts reality. By using performance targets in place of observed data, we show that calibration techniques can be repurposed to wed engineering and material design, two processes that are traditionally carried out separately. This allows materials to be designed with specific engineering targets in mind while quantifying the associated sources of uncertainty. We demonstrate our proposed approach by "calibrating" material design settings to performance targets for a wind turbine blade.

## Full text

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## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/1907.09553/full.md

## References

48 references — full list in the complete paper: https://tomesphere.com/paper/1907.09553/full.md

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Source: https://tomesphere.com/paper/1907.09553