...
首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >PREDICTION OF SURFACE ROUGHNESS AND APPLICATION OF RESPONSE SURFACE METHODOLOGY TO DEVELOP A MATHEMATICAL MODEL
【24h】

PREDICTION OF SURFACE ROUGHNESS AND APPLICATION OF RESPONSE SURFACE METHODOLOGY TO DEVELOP A MATHEMATICAL MODEL

机译:表面粗糙度的预测和响应表面方法在数学模型开发中的应用

获取原文

摘要

Ni-Cu-P coating was deposited on 99.99% pure Copper substrate electrolessly. The central composite design of experiment has been considered as the statistical analysis tool. The variation in surface roughness is studied by varying three parameters Ni-ion concentration, Cu-ion concentration and reducing agent concentration of the chemical bath. The surface roughness is considered as the response in studenta??s t test and it has been observed that the Ni –ion source and Cu-ion source significantly influence the surface roughness at 10% level of significance. Also all the main effects (Ni-ion source, Cu-ion source, reducing ion source) and the interaction of Ni-ion and reducing agent, significantly influence the surface roughness at 20% level of significance. A mathematical model has developed considering second order response surface methodology which further considers the main effects as well as the effects of interaction and the effects of curvatures.
机译:Ni-Cu-P涂层化学沉积在99.99%的纯铜基板上。实验的中央综合设计已被视为统计分析工具。通过改变化学镀液的镍离子浓度,铜离子浓度和还原剂浓度三个参数来研究表面粗糙度的变化。表面粗糙度被认为是学生的t检验中的响应,并且已经观察到,Ni-离子源和Cu-离子源以10%的显着性水平显着影响表面粗糙度。同样,所有主要影响(镍离子源,铜离子源,还原离子源)以及镍离子与还原剂的相互作用都会以20%的显着性水平显着影响表面粗糙度。考虑到二阶响应面方法,已经开发了一个数学模型,该方法进一步考虑了主要影响以及相互作用和曲率的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号