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Surface Roughness Optimization on Steel Fiber Reinforced Geopolymer Fly Ash by CNC Milling Operation

机译:CNC铣削运行钢纤维增强地质聚合物粉煤灰的表面粗糙度优化

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Geopolymer is a material that has been widely used in engineering applications particularly in construction industry because its friendliness to environment. This time, our work tries to explore the potential use of geopolymer in machining process. However, limited machining activity reported on geopolymer fly ash. Hence, this study attempt to find the best combination of machining parameters suitable for steel fiber reinforced geopolymer fly ash and the most significant parameter influencing the output evaluated which is surface roughness. The machining parameters involved are cutting speed, feed rate and depth of cut. Orthogonal arrays by using L_9 of Taguchi method, Signal-to-Noise ratio (S/N Ratio) and analysis of variance (ANOVA) employed in investigating the best combination machining parameters and the parameters contribution to surface roughness. The best combination parameters obtained is 50 m/min of cutting speed, 0.12 mm/rev of feed rate and 0.4 mm of depth of cut. From the analysis, the average surface roughness recorded is 2.193 μm that is the least and the best surface roughness obtained. The most significant contributing factor affecting the surface roughness of steel fiber reinforced geopolymer fly ash is cutting speed with 68.97 % of contribution.
机译:Geo聚物是一种在工程应用中被广泛用于建筑行业的材料,因为它对环境友好。这次,我们的工作试图探讨盖聚合物在加工过程中的潜在使用。然而,有限的加工活性在地缘聚合物粉煤灰报告。因此,本研究试图找到适合于钢纤维增强地质聚合物飞灰的加工参数的最佳组合,以及影响其表面粗糙度的输出的最重要参数。涉及的加工参数是切割速度,进料速率和切割深度。通过使用Taguchi方法的L_9的正交阵列,参考信噪比(S / N比)和用于研究最佳组合加工参数的方差(ANOVA)和参数对表面粗糙度的贡献。所获得的最佳组合参数为50米/分钟的切割速度,进给速度为0.12毫米/重,切割深度0.4毫米。从分析中,记录的平均表面粗糙度为2.193μm,所以获得的最小表面粗糙度。影响钢纤维增强地质聚合物粉煤灰表面粗糙度的最重要的贡献因素是贡献68.97%的切割速度。

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