计算机集成制造系统 ›› 2017, Vol. 23 ›› Issue (第12): 2708-2718.DOI: 10.13196/j.cims.2017.12.017

• 产品创新开发技术 • 上一篇    下一篇

砂布轮抛光叶片表面粗糙度预测与参数优化

淮文博,史耀耀+,唐虹,蔺小军,张溦   

  1. 西北工业大学现代设计与集成制造技术教育部重点实验室
  • 出版日期:2017-12-31 发布日期:2017-12-31
  • 基金资助:
    国家科技重大专项资助项目(2015ZX040041003)。

Surface roughness prediction and processing parameters optimization in abrasive cloth wheel polishing process for blade

  • Online:2017-12-31 Published:2017-12-31
  • Supported by:
    Project supported by the National Science and Technology Major Projects,Chian(No.2015ZX04001003).

摘要: 为降低航空发动机叶片表面粗糙度,提高叶片表面完整性和力学性能,分析了砂布轮柔性抛光工艺参数;通过单因素试验分析了砂布轮抛光工艺参数对表面粗糙度的影响规律,并确定了抛光工艺参数的优化范围;利用正交中心组合试验结果和多元二次回归方法建立了粗糙度预测模型,采用方差分析和参差分析验证了预测模型的显著性;利用预测模型得到了每个因素的优化水平,建立了工艺参数的响应面;通过响应面获得了优化的工艺参数;最后,用优化的抛光工艺参数进行叶片抛光试验,结果证明所建立的预测模型和优化的工艺参数能够显著提高叶片抛光表面质量。

关键词: 砂布轮, 航空发动机叶片, 抛光, 粗糙度, 预测模型

Abstract: To reduce surface roughness and improve surface integrity and mechanical property of aviation engine blade,the polishing parameters of abrasive cloth wheel were carried out.Influence rules of abrasive cloth wheel polishing parameters on surface roughness were analyzed by single-factor experiments,and the optimal range of each polishing process parameters were determined.Roughness prediction model was established by using orthogonal central combination test and multiple quadratic regression method.The significance of prediction model was verified with variance and residual analyses.The optimal level of each factor was obtained through prediction model,and the response surfaces of polishing parameters were obtained.The optimized process parameters were obtained by analyzing the response surfaces.The optimum process parameters were applied to make the  blade polishing test,and the test results showed that the prediction model and the optimized process parameters could significantly improve the polishing quality of the blade.

Key words: abrasive cloth wheel, aviation engine blade, polishing, roughness, prediction model

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