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Design of Experiment. A Study on the R elationship between the Factors and Glue V iscosity. Ning Wenxin , Gao Eryang , Lin Yuxin , Wan Mingchao, Yan Yan. Content. Engineering Background & Preparation Experiment Introduction Literature Review. Design Methodologies Factor Analysis
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Design of Experiment A Study on the Relationship between the Factors and Glue Viscosity NingWenxin, GaoEryang, Lin Yuxin, Wan Mingchao, Yan Yan
Content • Engineering Background & Preparation • Experiment Introduction • Literature Review • Design Methodologies • Factor Analysis • Design Matrix • Experiment Procedures • Analytical Procedures • Conclusions
Background Glue plays an important role in daily life. It is not to exaggerate that without glue, one will not work efficiently.
Objective The experiment aims at figuring out the impact of different factors to glue viscosity.
Literature Review • Component analysis • PVA is indispensable in viscosity. • However, the effect of PVA is impacted by temperature, time, humidityand etc.
Literature Review • Standard of office glue • Temperature, humidity, contact surface, time, concentration of glue will all affect the viscosity of glue. • 《中华人民共和国轻工行业标准.2011》
Factor Analysis • Environment and people are hard to control precisely, so blocking such factors will lead to a better result. • As surface roughness of wall and coated plank are obviously distinct, choose them to be two conditions.
Factor Analysis • Preliminary experiments • Concentration, 66.6%is the lower bound of viscosity. • Viscous force doubles when processing time increases from 3min to 7min. • Force doubleswhen surface area changes from 50% to 100%.
Experiment Procedure Clean the surface Apply the glue evenly Position the hook Wait for some time Add weight until the hook fall down
ANOVA • Time • Area • Roughness • Time*Area* • Concentration
Regression Force = 268.13 + 38.75×time + 55.62×area + 1.87×concentration - 79.37×roughness + 23.75×time×area×concentration
References [1] 中华人民共和国工业和信息化部. 中华人民共和国轻工行业标准 [Z]. 2011. [2] 百度百科.聚乙烯醇 [OL]. 2013. <http://baike.baidu.com/view/333383.htm#14_6> [3]Wang Kaibo. Full factorial design. 2013.
Thank you Q&A