Prediksi Keadaan Tegangan Sisa Dekat Permukaan untuk Benda Uji yang Dibulatkan Keras Menggunakan Model Nonlinier Berbasis Data
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Abstract
Advantageous near surface residual stress states, being of crucial importance for performance f components, can already be established by adequate machining strategies avoiding cost intensive post treatments. In the present work, residual stress and integral width distributions in hard-turned specimens (AISI 6150) are characterized in dependence of processing pa ameters and workpiece hardness. In order to provide a basis for robust control schemes, experimental results are analyzed using various data driven methods. It is revealed that sophisticated approaches such as Takagi-Sugeno multi-models accurately predict process- property relationships and eventually outperform standard approaches such as multiple linear regression.
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References
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