Title :
Parameter Optimization Design for Touch Panel Laser Cutting Process
Author :
Su, Chao-Ton ; Hsiao, Yu-Hsiang ; Chang, Chia-Chin
Author_Institution :
Dept. of Ind. Eng. & Eng. Manage., Nat. Tsing Hua Univ., Hsinchu, Taiwan
fDate :
4/1/2012 12:00:00 AM
Abstract :
Cutting is an essential process in touch panel manufacturing, which concerns the effectiveness of whole touch panel manufacturing process and reliability of final application products. An alternative is laser cutting technology, which is expected to eclipse conventional cutting method in terms of cost and quality. The laser cutting quality of touch panel is determined by the appropriation of value settings of several parameters/factors involved in the complex laser cutting process. However, the parameter/factor adjusting method applied in practice mainly relies on the engineer´s experience and trial-and-error experiment, which are unsystematic and susceptible to inefficiency and ineffectiveness. This study proposes a procedure for parameter/factor optimization of the touch panel laser cutting process to obtain maximum cutting quality. The proposed optimization procedure is successfully applied in a real case of laser cutting for projected capacitive touch panel, a type of touch panels using capacitive technology; it gradually becomes mainstream in the newly emerged information appliance marketplace. Results reveal that defect rate of the laser cutting process decreases from 32.6% to 0.3% once the proposed procedure on this paper is implemented, and this achievement outperforms other optimization strategies.
Keywords :
capacitive sensors; design engineering; laser beam cutting; optimisation; quality control; reliability; touch sensitive screens; capacitive technology; capacitive touch panel; factor adjusting method; factor optimization; final application product reliability; information appliance marketplace; laser cutting quality; laser cutting technology; maximum cutting quality; parameter adjusting method; parameter optimization design; touch panel laser cutting process; trial-and-error experiment; whole touch panel manufacturing process; Genetic algorithms; Glass; Laser beam cutting; Laser beams; Optimization; Power lasers; Sensors; Genetic algorithm; laser cutting; neural network; parameter optimization; touch panel;
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2011.2176488