A statistical optimization model for the erosive wear of organic coatings due to blast-cleaning with copper slag and steel grit

The paper is concerned with statistical investigations into the removal of organic protective coating systems from steel substrates through compressed air blast-cleaning. A tribological system for solid particle erosion is derived. Response parameters involve cleaning rate and grit consumption, and the results are statistically interpreted based on Design of Experiments (DoE) and Analysis of Variance (ANOVA). Four factors are varied, namely static air pressure, nozzle diameter, grit size, and valve opening degree. Two grit materials, steel grit and copper slag, are considered. The cleaning rate increases when air pressure and nozzle diameter (for copper slag) increase, and when grit size decreases. Valve opening degree and nozzle diameter (for steel grit) exhibit a more complex behaviour with optimum values for maximum cleaning rates. The effects of the factors depend strongly on the grit type. Whereas air pressure is the only significant factor for steel grit, nozzle diameter, air pressure and valve opening degree are extremely significant factors for copper slag. Grit size is insignificant for both grit types. Values for the optimum grit flow rates are lower for steel grit (40-50%) compared with copper slag (75%). A four-parameter full quadratic regression model is found to be capable of statistically describing the relationships in the scope of the evaluation effort. An optimization procedure for steel grit, based on a Desirability Function Approach, delivers a set of optimum factor combinations.

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    合作方式:技术开发

    联 系 人:周老师

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    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

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    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

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    成果名称:低表面能涂层

    合作方式:技术开发

    联 系 人:周老师

    联系电话:13321314106

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