In this study, response surface methodology and desirability function approach (DFA) were used to optimise the vulcanisation process of elastomeric bearings to obtain better quality products. For this purpose, compressive stiffness and vertical deflection under maximum load were determined as response variables with a target at 198 kN/mm and 3.46 mm, respectively, in accordance with customer’s request. Time, temperature and pressure were considered as control variables of the process. Experimental combinations were determined using Box–Behnken design and two repetitions were made in each combination. The experimental design was randomised for removing bias and other uncontrollable sources of extraneous variation. As a result of the statistical analysis, linear, quadratic, and interaction effects of factors on response variables were obtained. For simultaneous optimisation of multiple responses, the DFA was used and optimum factor levels were obtained. Finally, the optimum conditions were verified by confirmation experiments.

中文翻译：

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使用响应面法和期望函数法优化弹性轴承的硫化工艺

在这项研究中，响应面方法和合意函数法（DFA）用于优化弹性体轴承的硫化过程，以获得质量更好的产品。为此，根据客户要求，将最大载荷下的抗压刚度和垂直挠度确定为响应变量，目标分别为198 kN / mm和3.46 mm。时间，温度和压力被认为是该过程的控制变量。实验组合使用Box–Behnken设计确定，每个组合重复两次。实验设计是随机的，以消除偏差和其他不可控制的外部变化源。统计分析的结果是，获得了因素对响应变量的线性，二次和交互作用。为了同时优化多个响应，使用了DFA并获得了最佳因子水平。最后，通过确认实验验证了最佳条件。