基于RSM的电铸自支撑金刚石-镍复合膜参数优化

发布时间：2019-04-01 11:18

【摘要】：目的为提高电铸自支撑金刚石-镍复合膜的生产品质,研究一种改进的响应曲面模型,对电铸工艺的多响应参数进行优化选择。方法以电铸自支撑金刚石-镍复合膜沉积工艺参数为研究对象。在逐步回归的基础上,利用响应曲面法构建因子与响应间回归模型,通过试验设计的分析方法解释、分析、检验模型的优劣。以响应预测能力指数为权重,加权得到综合回归模型,将多响应参数优化转换为单响应参数优化,使参数优化结果优先优化预测能力强的响应,改善工艺参数整体优化效果。最后,以综合回归模型为目标函数,利用有约束最小化函数法在区间范围内搜索最优参数组合,并给出参数改进的方向。结果利用有约束最小化函数法搜索得到的最优参数组合为:金刚石含量16 g/L、阴极电流密度0.6 A/dm2、沉积时间1.5 h。通过试验设计的分析方法给出参数进一步改进的方向:在金刚石含量大于16 g/L、阴极电流密度小于0.6A/dm2、沉积时间小于1.5 h的区域内增加试验设计,以得到更优参数组合。结论将质量工具、质量改进方法及统计分析方法等运用到材料制备工艺中,能够提高最优工艺参数选择的有效性,减少试验设计的盲目性,以及达到参数全局最优的可能性。
[Abstract]:In order to improve the production quality of electroforming self-supporting diamond-nickel composite film, an improved response surface model was studied, and the multi-response parameters of electroforming process were optimized. Methods the deposition parameters of electroforming self-supporting diamond-nickel composite film were studied. On the basis of stepwise regression, the regression model between factor and response is constructed by response surface method. The model is explained, analyzed and tested by the analytical method of experimental design. Taking response prediction ability index as weight, the synthetic regression model is obtained by weighting. The multi-response parameter optimization is converted into single response parameter optimization, which makes the optimization result of parameter optimization give priority to the response with strong prediction ability, and improves the overall optimization effect of process parameters. Finally, taking the synthetic regression model as the objective function, the constrained minimization function method is used to search the optimal parameter combination in the interval range, and the direction of parameter improvement is given. Results the optimal parameters obtained by the constrained minimization function method were as follows: Diamond content 16 g / L, cathode current density 0.6 A 路m ~ 2, deposition time 1.5 h, diamond content 16 g / L, cathodic current density 0.6 A ~ (m ~ 2), deposition time 1.5 h. According to the analysis method of the experimental design, the direction of further improvement of the parameters is given: increasing the experimental design in the region where the diamond content is greater than 16 g / L, the cathode current density is less than 0.6 A / m ~ 2, and the deposition time is less than 1.5 h. In order to obtain better parameter combination. Conclusion the application of quality tools, quality improvement methods and statistical analysis methods to the material preparation process can improve the effectiveness of the optimal process parameter selection, reduce the blindness of the experimental design and the possibility of achieving the global optimization of the parameters.
【作者单位】：郑州航空工业管理学院管理工程学院;
【基金】：国家自然科学基金项目(U1404702) 航空科学基金项目(2014ZG55021) 河南省科技攻关计划项目(162102210083) 郑州航空工业管理学院研究生教育创新计划基金(2016CX015)~~
【分类号】：TG174.44

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