Predictive Modeling and Parameter Optimization of Cutting Forces During Orbital Drilling
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Abstract:
To optimize cutting control parameters and provide scientific evidence for controlling cutting forces, cutting force modeling and cutting control parameter optimization are researched with one tool adopted to orbital drill holes in aluminum alloy 6061. Firstly, four cutting control parameters(tool rotation speed, tool revolution speed, axial feeding pitch and tool revolution radius) and affecting cutting forces are identified after orbital drilling kinematics analysis. Secondly, hybrid level orthogonal experiment method is utilized in modeling experiment. By nonlinear regression analysis, two quadratic prediction models for axial and radial forces are established, where the above four control parameters are used as input variables. Then, model accuracy and cutting control parameters are analyzed.Upon axial and radial forces models, two optimal combinations of cutting control parameters are obtained for processing a 13 mm hole, corresponding to the minimum axial force and the radial force respectively. Finally, each optimal combination is applied in verification experiment. The verification experiment results of cutting force are in good agreement with prediction model, which confirms accracy of the research method in practical production.
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Project Supported:
the National Natural Science Foundation of China (50975141); the Aviation Science Fund (20091652018,2010352005); the National Science and Technology Major Project of the Ministry of Science and Technology of China ( 2012ZX04003031-4).
Shan Yicai. Predictive Modeling and Parameter Optimization of Cutting Forces During Orbital Drilling[J]. Transactions of Nanjing University of Aeronautics & Astronautics,2014,31(5):521-529