Adaptive prediction of abrasive impacting pressure effectiveness in strengthen jet grinding using NSAE-ANFIS
Adaptive prediction of abrasive impacting pressure effectiveness in strengthen jet grinding using NSAE-ANFIS
复制标题
使用 NSAE-ANFIS 自适应预测强化喷射磨削中的磨料冲击压力有效性
DOI：
10.1007/s00170-019-04734-7
复制
发表时间：
2020-01-02
影响因子：
3.4
通讯作者：
Liu，Changhong
中科院分区：
文献类型：
--
作者：
Liang，Zhongwei;Liu，Xiaochu;Liu，Changhong
强化喷射磨削是提高工业产品加工质量的关键。研究磨料射流冲击工件表面的压力有效性，对于了解射流磨削机理并为商业应用中合理调度其工作效率提供理论依据至关重要。提出了一种基于归一化稀疏自适应神经模糊推理系统（NSAE-ANFIS）的磨料冲击压力有效性自适应预测方法，用于强化射流磨削加工质量的识别。通过测量已加工表面的应力应变和计算磨料冲击的概率密度，NSAE-ANFIS的压力有效性指标的自适应预测，以帮助磨削策略的规划。在此基础上，进行了一系列有效性预测的结果比较和质量评价，并对其影响机理进行了探讨。结果表明，NSAE-ANFIS具有良好的预测能力，可建设性地用于提高强化喷射磨削加工效率和质量均匀性，同时便于加工进度管理。
Strengthen jet grinding is crucial to machining improvements of industrial products. It is essential to study the pressure effectiveness of abrasive jet impacting on workpiece surface, for understanding jet grinding mechanism and providing theoretical basis for rationally scheduling its working efficiency in commercial applications. An adaptive prediction method designed for abrasive impacting pressure effectiveness using NSAE-ANFIS (normalized sparse autoencoder-adaptive neural fuzzy inference system) is carried out to identify the machining quality of strengthen jet grinding in various conditions. Through measuring the stress strain of machined surface and the calculating probability density of abrasive impacting, NSAE-ANFIS is presented for the adaptive prediction of pressure effectiveness indexes to help in the planning of grinding strategy. Based on these achievements, a set of result comparisons and quality evaluations of effectiveness prediction are made, and its influence mechanism could be discussed accordingly, indicating that NSAE-ANFIS has an outstanding predictive capability and could be used constructively to improve the machining efficiency and quality uniformity for strengthen jet grinding, which facilitates the machining schedule management simultaneously.