用田口法测试强度和对巴塔科的拟合

Akhmad Sutoni
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引用次数: 3

摘要

制砖过程有两个非常关键的特性/临界质量(CTQ),即抗压强度和吸水率。对于质量特性,抗压强度值越大越好(越高越好)。在吸水性方面,质量特征越小越好(越小越好)。用作建筑材料的砖的质量必须具有良好的质量,能够保持现有建筑物的强度。质量问题是生产的水的抗压强度和吸收性必须符合SNI(印尼国家标准)的要求。WS公司生产的混凝土块质量不太好。砖易碎。本研究采用的方法为田口法。最佳水平因素设置为因素A(搅拌时间),因素B(压力),因素C(水),因素D(干燥)和因素E(砂和石灰的组成)。其中,对抗压强度和吸水率影响最大、占主导地位的最优因子设置水平因子为因子E(砂和石灰的组成)。抗压强度因子E(砂和石灰组成)等级2为1:1 .25,吸收因子E(砂和石灰组成)等级1为1:1 .5。为验证本试验设计研究结果,经最优水平设置后,得到的抗压强度和吸水率质量损失函数百分比提高51.91%,损失函数百分比降低78.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Uji Kuat Tekan dan Daya Serap pada Batako dengan Menggunakan Metode Taguchi
The brick making process has two very critical characteristics / Critical To Quality (CTQ) , namely compressive strength and water absorption. For the quality characteristics of the compressive strength the greater the value, the better (Higher The Better). As for the absorption of water the quality characteristics are getting smaller, the better (Smaller The Better). The quality of the brick used as building material must have good quality that can maintain the strength of existing buildings. The quality in question is the compressive strength and absorbency of water produced must be in accordance with the requirements of SNI (Indonesian National Standard). The WS companies produce concrete blocks which have not good quality. The bricks are brittle. The method used in this study is the Taguchi method. Optimal Level Factor setting is Factor A (duration of stirring), Factor B (Pressure), Factor C (Water), Factor D (Drying) and Factor E (Composition of Sand and Lime). Where the optimal factor setting level factor that is most influential and dominant in compressive strength and water absorption is factor E (composition of sand and lime). For compressive strength factor E (sand and lime composition) level 2, 1: 0.25 and for absorption factor E (composition of sand and lime) level 1, 1: 0.5. and to confirm the results of this experimental design study, a percentage of Quality Loss Function of compressive strength and water absorption was obtained after the optimal level setting had a quality increase of 51.91% and a decrease in the Loss function of 78.5%.
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