## Optimization of fixture layouts of glass laser optics using multiple kernel regression |

Applied Optics, Vol. 53, Issue 14, pp. 2988-2997 (2014)

http://dx.doi.org/10.1364/AO.53.002988

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### Abstract

We aim to build an integrated fixturing model to describe the structural properties and thermal properties of the support frame of glass laser optics. Therefore, (a) a near global optimal set of clamps can be computed to minimize the surface shape error of the glass laser optic based on the proposed model, and (b) a desired surface shape error can be obtained by adjusting the clamping forces under various environmental temperatures based on the model. To construct the model, we develop a new multiple kernel learning method and call it multiple kernel support vector functional regression. The proposed method uses two layer regressions to group and order the data sources by the weights of the kernels and the factors of the layers. Because of that, the influences of the clamps and the temperature can be evaluated by grouping them into different layers.

© 2014 Optical Society of America

**OCIS Codes**

(220.4880) Optical design and fabrication : Optomechanics

(220.1080) Optical design and fabrication : Active or adaptive optics

**ToC Category:**

Optical Design and Fabrication

**History**

Original Manuscript: January 28, 2014

Revised Manuscript: March 27, 2014

Manuscript Accepted: March 28, 2014

Published: May 5, 2014

**Citation**

Jianhua Su, Enhua Cao, and Hong Qiao, "Optimization of fixture layouts of glass laser optics using multiple kernel regression," Appl. Opt. **53**, 2988-2997 (2014)

http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-53-14-2988

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