金屬材料雷射加工特性之研究

Research on Property of Laser Machining on Metal Materials

紀政宏(Jheng-Hong Ji)

指導教授 ： 許坤明

國立虎尾科技大學/工程學院/機械與電腦輔助工程系碩士班/碩士(2015年)

https://doi.org/10.6827/NFU.2015.00019

摘要

本論文內容主要探討以雷射加工對金屬材質(不鏽鋼、鐵、鋁、黃銅、紅銅)進行加工時，利用各項加工參數對加工品質影響，包含雕刻速度、功率強度、脈衝頻率、解析度和雕刻次數，對金屬加工時較佳參數可提供資料參考，提升加工效率，減少生產成本。
本研究使用田口法直交表 因子進行實驗，分別求最小粗糙度和最大移除率品質，依實驗所得之結果計算出信號雜訊比，透過信號雜訊比、回應表及回應圖分析，再經過變異數分析，分析貢獻度和因子對品質影響的程度。
在不同種類的金屬下，表面移除率與功率強度成正比；在雷射解析度500DPI 以上，雷射解析度愈大，表面粗糙度就愈大；銅金屬是高反射率金屬，也有很好的傳熱導體，不容易吸收光能，表面熔化較不易；雷射雕刻速度慢，可得刻深的效果。

關鍵字

雷射加工 ； 金屬材料 ； 田口最佳化

並列摘要

In the present study, the researchers used a laser engraver to process different metal materials (stainless steel, iron, aluminum, brass, and copper) to elucidate the influences that various processing parameters have on processing quality. These parameters include engraving speed, power intensity, impulse frequency, and number of engravings. The more favorable parameters for metal processing can serve as a reference for improving processing efficiency and reducing production costs.
The researchers adopted the factors of a Taguchi Orthogonal Table for testing to independently determine minimum coarseness and maximum removal rate (MRR). The results obtained in the present study were then used to calculate the S/N ratio of the various specimens. By analyzing the S/N ratios, response tables, and response charts, as well as performing an ANOVA, the researchers determined contribution and the degree of influence that the various factors had on quality.
Among the different metal types, surface MRR manifested a positive correlation with power intensity. At a laser resolution of over 500 DPI, surface coarseness increased concurrently with an increase in laser resolution. The copper and brass specimens were highly reflective and were favorable heat conductors. Thus, their dampened light absorption capability rendered the surfaces of these specimens more resistant to melting. Moreover, the depth of engravings increased concurrently with a reduction in engraving speed.

並列關鍵字

Laser processning ； metal materials ； Taguchi Optimization

參考文獻

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