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Автор Lin, Tsung-Hung
Автор Hung, Shih-Yu
Автор Yang, Hsiharng
Автор Chao, Ching-Kong
Дата выпуска 2007-03-01
dc.description A systematic approach to achieve a LRHH (low roughness and high hardness) electroforming process is developed in this study. Because electroformed molds with low roughness and high hardness are required for microlens array fabrication using the LIGA-like process, the invented Ni–Co alloy-pressurized electroforming process is used to fabricate a metallic micro-mold for microlens array molding. The electrolyte parameters such as Co content, current density, brightener content, pH value and temperature will be examined with respect to roughness and hardness. An artificial neural network (ANN) is used to construct a system model that accurately predicts the responses for arbitrary parameter settings. A genetic algorithm (GA) is applied to minimize the surface roughness and improve the micro-mold hardness. The results show that the micro-mold surface roughness and hardness could be significantly improved using the ANN/GA approach. A LRHH electroforming process is carried out using parameter design to improve the surface morphology and increase the service life of the micro-mold during the forming process.
Формат application.pdf
Издатель Institute of Physics Publishing
Копирайт 2007 IOP Publishing Ltd
Название Fabrication of a microlens array electroformed mold with low roughness and high hardness
Тип paper
DOI 10.1088/0960-1317/17/3/001
Electronic ISSN 1361-6439
Print ISSN 0960-1317
Журнал Journal of Micromechanics and Microengineering
Том 17
Первая страница 419
Последняя страница 425
Последняя страница 425
Аффилиация Lin, Tsung-Hung; Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Sec. 4 Keelung Rd., Taipei 106, Taiwan
Аффилиация Hung, Shih-Yu; Department of Automation Engineering, Nan Kai Institute of Technology, 568 Chung Cheng Rd., Tsaotun, Nantou 542, Taiwan
Аффилиация Yang, Hsiharng; Institute of Precision Engineering, National Chung Hsing University, 250 Kuo kuang Rd, Taichung 402, Taiwan
Аффилиация Chao, Ching-Kong; Department of Mechanical Engineering, National Taiwan University of Science and Technology, 43 Sec. 4 Keelung Rd., Taipei 106, Taiwan
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