基于机器学习算法的切削加工

Machining based on machine learning algorithmAbstractIn recent years,such as "made in China 2025",the concept of "industry 4.0"hasgradually become the future direction of manufacturing industry,and with the hot riseof artificial intelligence in recent years,the relationship between intelligence andmanufacturing industry has become increasingly close.Under the premise of ensuringproduct quality,many researchers have begun to use machine learning to find out howto improve production efficiency and how to choose cutting parameters reasonably.Machine learning contains some important algorithms for improving productionefficiency and reducing manufacturing costs is an excellent way.In this paper,the commonly used algorithm of cutting parameter optimization isintroduced in detail,including the structure and principle of artificial neural network,and its implementation process is described.The principle and steps of geneticalgorithm are also introduced in detail.Secondly,after understanding the current cutting principle,this paper discusses it,including the main causes of machining deformation,as well as the main factorsaffecting the cutting force,which has a good reference for the establishment of theresearch content of this paper.Finally,the input and output layers and nodes are selected,including settingappropriate training function,learning rate,target accuracy and other networkparametersKeywords:Key words:machine learning;cutting;neural network;titaniumalloy turning