机械加工
表面粗糙度
数控
机械工程
表面光洁度
数控铣削
工程类
工程制图
材料科学
复合材料
作者
K Kannadasan,Damodar Reddy Edla,Manisha Yadav,Annushree Bablani
出处
期刊:IEEE Transactions on Instrumentation and Measurement
[Institute of Electrical and Electronics Engineers]
日期:2020-10-01
卷期号:69 (10): 7683-7694
被引量:13
标识
DOI:10.1109/tim.2020.2980599
摘要
Machinery is one of the major fields that impact the growth of the country. Computer numerical control (CNC) plays a vital role in manufacturing machining parts. Each product manufactured from CNC has its performance index requirements based on its usage. The performance indexes, such as surface roughness and geometric tolerances, are important for any CNC machined product. The performance index values are affected by several controllable and uncontrollable parameters, among which the controllable parameters can be tuned to get the desired performance index values. Hence, in this article, we proposed an intelligent prediction model to predict the performance index values, such as surface roughness and geometric tolerances, considering the controllable machining parameters as the input for the model. The experimental results show that the performance index can be predicted effectively with various CNC machining parameters. Therefore, the model can be useful for the manufacturers for achieving the desired performance index values.
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