摘要
磨料水射流铣削技术柔性大、工艺参数复杂,其加工性能难以有效控制。针对这一问题,本文首先通过响应曲面法研究了磨料水射流铣削钛合金时典型工艺参数对铣削深度和表面粗糙度的影响,并采用传统回归方式建立了经验预测模型;其次在结合磨粒磨损理论、高斯轮廓模型和表面成形分析的基础上,进一步建立了铣削深度和表面粗糙度的半经验预测模型;然后利用实验数据进行了参数标定;最后通过实验验证和对比了两种模型。结果表明,两种预测模型的平均误差均小于15%,相比经验模型,半经验模型既可以解释参数影响和铣削机理,又可以保证预测的准确率和稳定性,对于控制铣削深度和表面质量具有重要价值。
Abrasive water jet milling technology has large flexibility and complex processing parameters,so its machining performance is difficult to effectively control.To solve this problem,firstly,the influence of the typical process parameters on the milling depth and surface roughness in abrasive water jet milling of titanium alloy is investigated with the response surface methodology(RSM).Then an empirical model is established with the traditional regression method.Secondly,a semi empirical model for milling depth and surface roughness is established in terms of the abrasive wear theory,Gaussian profile model and surface forming analysis.Thirdly,the coefficients are calibrated by using the experimental data.Eventually the two models are verified and compared with the experiments.The results show that the average error of the two prediction models is below 15%.Comparing with the empirical model,the semi empirical model can not only explain the influence of the parameters and milling mechanism,but also ensure the accuracy and stability of prediction,which is of great value for controlling the milling depth and surface quality.
作者
杜航
熊杰
陈炜
李登
巫世晶
DU Hang;XIONG Jie;CHEN Wei;LI Deng;WU Shijing(Hubei Key Laboratory of Waterjet Theory and New Technology,Wuhan University,Wuhan 430072,China)
出处
《机械科学与技术》
CSCD
北大核心
2023年第7期1063-1069,共7页
Mechanical Science and Technology for Aerospace Engineering
基金
国家自然科学基金项目(51805188)。
关键词
磨料水射流铣削
钛合金
预测模型
磨粒磨损理论
高斯轮廓
abrasive water jet milling
titanium alloy
prediction model
abrasive wear theory
gaussian profile
