Estimation of the Heat Strength in Laser Machinery through a Genetic Algorithm

碩士 === 國立高雄應用科技大學 === 模具工程系碩士班 === 101 === The traditional manufacturing process achieved the high accuracy and performance of workpiece. However, this machine is unable to work properly to high hardness material such as micro-parts. In recent years, the rapid development of the laser processing tec...

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Bibliographic Details
Main Authors: Jie-Hao Chang, 張介豪
Other Authors: Ching-Yu Yang
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/84710030065104617492
Description
Summary:碩士 === 國立高雄應用科技大學 === 模具工程系碩士班 === 101 === The traditional manufacturing process achieved the high accuracy and performance of workpiece. However, this machine is unable to work properly to high hardness material such as micro-parts. In recent years, the rapid development of the laser processing technology has gradually replaced the traditional processing techniques. Comparing the conventional machining processing, the laser processing technology is not affected by the wear tool and the friction during processing because of its non-contact property. Moreover, the laser processing technology has many advantages such as high energy density, quick fabrication, high precision and low cost and non-pollution. During laser processing, the surface of work piece will be melted and gasified due to the adsorption of energy from laser beam. The size of heat zone decides the precision of the laser processing. Thus, this research used a simulation analysis combing with the experimental data to investigate the input heat strength in the process. The result is used to discuss the size of the heat zone for the manufacturing. The purpose of this research is to investigate the input heat strength in the Laser processing. In the first part, the experimental temperature measurement was conducted by using thermocouple wire at the some positions inside the model. In the second part, a simulation by computer code is used to simulate the heat transfer of laser processing. The measured temperature from the experiment is used to compare with the simulation results in this research.