The final shape of fiber-reinforced polymer (FRP) materials is usually given by machining. However, machining FRP materials is complex and difficult. Appropriate cutting tools and cutting parameters should be determined to overcome these difficulties. In this work, glass fiber-reinforced polymer (GFRP) materials with 60% and 68% fiber ratio, produced by pultrusion method, were machined. End of the milling, surface roughness (Ra), delamination damage factor (Fdd), sound and vibration results were analyzed. Experiments were carried out with Taguchi L16 mixed design and the results were analyzed by Taguchi, ANOVA and Pareto charts. In Taguchi and Pareto analyses, the most effective parameter for surface roughness and delamination damage factor was the feed rate, and the cutting velocity for sound and vibration. Different regression models have been tried. Linear regression was found as most suitable. The significance values of the regression models are 92.04% for surface roughness, 87.12% for delamination damage factor, 98.64% for sound and 73.27% for vibration.

中文翻译：

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拉挤法生产不同纤维比的玻璃钢复合材料槽铣表面质量测量及切削参数优化

纤维增强聚合物 (FRP) 材料的最终形状通常通过机械加工给出。然而，加工玻璃钢材料是复杂和困难的。应确定合适的切削刀具和切削参数以克服这些困难。在这项工作中，采用拉挤成型方法生产的纤维比例为 60% 和 68% 的玻璃纤维增​​强聚合物 (GFRP) 材料进行了加工。对铣削结束后的表面粗糙度（Ra）、分层损伤系数（Fdd）、声音和振动结果进行了分析。用 Taguchi L 进行实验16混合设计，结果采用田口、方差分析和帕累托图进行分析。在 Taguchi 和 Pareto 分析中，对表面粗糙度和分层损伤系数最有效的参数是进给速度，以及声音和振动的切削速度。已经尝试了不同的回归模型。线性回归被认为是最合适的。回归模型的显着性值为表面粗糙度为92.04%，分层损伤因子为87.12%，声音为98.64%，振动为73.27%。