Calculating subtool pressures by using genetic algorithms

Alberto Cordero-Dávila; Leonardo Téllez-Arriaga; Jorge González-Garcia; Carlos Ignacio Robledo-Sánchez; Jorge Cuautle-Cortéz; José de Jesús Díaz-Anzures; Luis Alberto Martinez-Medina

doi:10.1117/12.782664

14 November 2007 Calculating subtool pressures by using genetic algorithms

Alberto Cordero-Dávila, Leonardo Téllez-Arriaga, Jorge González-Garcia, Carlos Ignacio Robledo-Sánchez, Jorge Cuautle-Cortéz, José de Jesús Díaz-Anzures, Luis Alberto Martinez-Medina

Author Affiliations +

Proceedings Volume 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies; 672204 (2007) https://doi.org/10.1117/12.782664
Event: 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Large Mirrors and Telescopes, 2007, Chengdu, China

Abstract

An adaptive lens can be made from plastic and elastic material, its focal distance can be changed by appling radial forces at the lens border ring. To make these kind of lenses it is necessary to figure molds. However, these molds can not be figured by using rigid tools for rapid surfaces. Then we are developing a new technique based in a linear array of independent sub-tools. A linear tool consists of subtools, the pressures of each one can be regulated according to the measured surface errors. The pressures are given by weights put over each sub-tool. By using genetic algorithms the pressure values of each subtool have been calculated in order to obtain the optimal wear. They are shown numerical and experimental results for several axisymmetrical surfaces.

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Alberto Cordero-Dávila, Leonardo Téllez-Arriaga, Jorge González-Garcia, Carlos Ignacio Robledo-Sánchez, Jorge Cuautle-Cortéz, José de Jesús Díaz-Anzures, and Luis Alberto Martinez-Medina "Calculating subtool pressures by using genetic algorithms", Proc. SPIE 6722, 3rd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Advanced Optical Manufacturing Technologies, 672204 (14 November 2007); https://doi.org/10.1117/12.782664

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