Modeling cutting machining process using symbolic regression

An analysis of a cutting machining process is made by manipulating equations generated by means of symbolic regression - . This regression approach can generate mathematical models of any process considering only measured data. Usually a mathematical model is preferred over other approaches like lin...

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Bibliographic Details
Published in:International journal of advanced manufacturing technology 2013-08, Vol.67 (9-12), p.2351-2366
Main Authors: Torres-Treviño, L. M., Escamilla, I., Gonzalez, B., Praga-Alejo, R., Pérez-Villanueva, P.
Format: Article
Language:English
Subjects:
CAE) and Design
Computer simulation
Computer-Aided Engineering (CAD
Cutting
Engineering
Industrial and Production Engineering
Machining
Mathematical models
Mechanical Engineering
Media Management
Neural networks
Optimization
Original Article
Parameters
Regression analysis
Roughness
Citations: Items that this one cites
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Summary:An analysis of a cutting machining process is made by manipulating equations generated by means of symbolic regression - . This regression approach can generate mathematical models of any process considering only measured data. Usually a mathematical model is preferred over other approaches like linear regression or neural networks. As a practical case, a cutting machining process of Titanium 6Al-4V is modeled considering the absence and existence of cooling. An analysis of the surface of response is made to visualize the effects of the machining parameters on roughness. These plots could be useful to establish the machining parameters when a desirable roughness is expected. On the other hand, the mathematical models can be useful for prediction, simulation and optimization.
ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-012-4655-5