禹建丽,黄鸿琦,陈洪根.基于RSM的电铸自支撑金刚石-镍复合膜参数优化[J].表面技术,2017,46(5):83-87.
YU Jian-li,HUANG Hong-qi,CHEN Hong-gen.RSM-based Parameter Optimization of Electrotyping Free-standing Diamond-Nickel Composite Film[J].Surface Technology,2017,46(5):83-87 |
| 基于RSM的电铸自支撑金刚石-镍复合膜参数优化 |
| RSM-based Parameter Optimization of Electrotyping Free-standing Diamond-Nickel Composite Film |
| 投稿时间：2016-10-19 修订日期：2017-05-20 |
| DOI：10.16490/j.cnki.issn.1001-3660.2017.05.014 |
| 中文关键词: 多响应参数优化 响应曲面法 自支撑金刚石-镍复合膜 电铸 试验设计 有约束最小化函数法 |
| 英文关键词:multi-response parameters optimization response surface method free-standing diamond-nickel composite film electrotyping experiment design constrained minimization function method |
| 基金项目: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） |
|
|
|
|
| 摘要点击次数: |
| 全文下载次数: |
| 中文摘要: |
| 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0.6 A/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。 |
| 英文摘要: |
| The work aims to improve production quality of electrotyping free-standing diamond-nickel composite film, develop an improved response surface model and optimize multi-response parameters of electroforming process. Deposition process parameters of the electrotyping free-standing diamond - nickel composite film were regarded as object of study. On the basis of stepwise regression, regression model between factors and responses was built in response surface method. Its merits and demerits were explained, analyzed and inspected in the method of experimental design. Then, comprehensive regression model was obtained with response predict ability index as weight. Multi-response parameters optimization was converted to a single-response parameter optimization to make parameter optimization results preferentially optimize responses with strong predictive ability and improve overall optimization effects of process parameters. Finally, optimal parameter combination was searched in certain range in a constrained minimization function method with the comprehensive regression model as objective function, and the orientation of parameter improvement was given. The optimal parameter combination turned to be: diamond content of 16 g/L, cathode current density of 0.6 A/dm2 and deposition time of 1.5 h. The orientation of parameter improvement was given in the method of experiment design: additional experiment designs shall be performed in the area where diamond content was ＞16 g/L, cathode current density ＜0.6 A/dm2 and deposition time ＜1.5 h to get more optimal parameter combination. Quality tools, quality improvement method and statistical analysis method being applied to material preparation process can improve effectiveness of optimal process parameter selection, reduce the blindness of experiment design and achieve the possibility of a overall optimal parameters. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
| 关闭 |
渝公网安备 50010702501715号