Artificial neural network based tool wear estimation on dry hard turning processes of AISI4140 steel using coated carbide tool
نویسندگان
چکیده
منابع مشابه
Predictions of Tool Wear in Hard Turning of AISI4140 Steel through Artificial Neural Network, Fuzzy Logic and Regression Models
The tool wear is an unavoidable phenomenon when using coated carbide tools during hard turning of hardened steels. This work focuses on the prediction of tool wear using regression analysis and artificial neural network (ANN).The work piece taken into consideration is AISI4140 steel hardened to 47 HRC. The models are developed from the results of experiments, which are carried out based on De...
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Hard turning with cubic boron nitride (CBN) tools has been proven to be more effective and efficient than traditional grinding operations in machining hardened steels. However, rapid tool wear is still one of the major hurdles affecting the wide implementation of hard turning in industry. Better prediction of the CBN tool wear progression helps to optimize cutting conditions and/or tool geometr...
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ژورنال
عنوان ژورنال: Bulletin of the Polish Academy of Sciences Technical Sciences
سال: 2017
ISSN: 2300-1917
DOI: 10.1515/bpasts-2017-0060