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- W2362206898 abstract "Based on the culstering regression analysis theory,this paper studied the optimization of temperature sensor positions on gear hobbing machine,the thermal sources were cut down from 11 to 4 and the optimized selection of temperature variables was fulfilled.According to least squares theory,the four selected measurement points were used for regression analysis and the thermal error model was presented.Finally,the compensation model was tested using Y3150K hobbing machine.The result shows that the method not only improve the gear machining accuracy and the robustness of thermal error modeling but(also) save the time and cost." @default.
- W2362206898 created "2016-06-24" @default.
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- W2362206898 date "2008-01-01" @default.
- W2362206898 modified "2023-09-24" @default.
- W2362206898 title "Application of Clustering Regression Analysis to Thermal Error Modeling of Gear Hobbing Machine" @default.
- W2362206898 hasPublicationYear "2008" @default.
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