本論文主要建立一活塞環與汽缸壁之摩擦潤滑性能分析及參數研究之流程，主要使用50W雷射雕刻機對試件進行紋理技術，針對雕刻參數設計進行探討，分別為加工次數及線間距，並且測量其粗糙度、表面微觀、磨耗率及硬度值，分別得出最佳之加工次數4次及線間距0.01mm，並且使用此兩種參數進行雷射紋理設計。
文中以雷射雕刻機對不鏽鋼304之試件表面進行雷射紋理技術，主要探討陰陽刻雕刻手法及各參數對摩擦潤滑之影響。表面紋理技術使試件表面產生不同的紋理，搭配撞擊實驗量測滑行距離及使用數值分析軟體進行流場分析。依照所建立之流程，本研究提出四種不同參數分別為深度、大小、形狀及密度，最後使用田口實驗法搭配各參數組合進行分析及實驗，經田口優化法結果顯示，不論是陰刻或陽刻，圖形深度及圖形分佈密度影響皆最為顯著，陽刻之摩擦係數優於無紋理約79.01%，陰刻則為32.38%；實驗方面，陽刻優於無紋理88.45%，陰刻則為59.9%。從以上優化結果可得知，經表面紋理及搭配正確參數後，皆能有效提升摩擦潤滑性能。

This thesis is mainly to establish a process of friction lubricating performance analysis and parameter research of a piston ring and cylinder wall, mainly using 50W laser engraving machine to texture the test piece. Carrying out research on the design of engraving parameters, respectively engraving times and line spacing, and measuring the roughness, surface microscopic , abrasion rate and hardness value respectively get the best engraving times 4 times and line spacing 0.01mm, and use these two parameters for laser texture design.
In this research, laser engraving technology is applied to the surface of the stainless steel 304 specimen by laser engraving machine, mainly to discuss the effect of Yin and Yan carving and various parameters on the friction and lubrication. The surface texture technology produces different textures on the surface of the specimen, measures the sliding distance with the impact test and uses numerical analysis software to analyze the flow field.
According to the established process, this study proposes four different parameters for depth, size, shape and density. Finally, the Taguchi experiment method is used to analyze and experiment with each parameter combination. The results of the Taguchi optimization method show that whether it is Yin carving or Yang carving, the influence of density and area density is the most significant. The friction coefficient of Yan carving is about 79.01% better than that of non-textured, while Yin carving is better than 32.38%. In terms of experiment, the Yan carving is 88.45% better than that non-textured, while Yin carving is better than 59.9%. It can be seen from the above optimization results that after the surface texture and the correct parameters are matched, the friction and lubrication performance can be effectively improved.

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