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• W4385627270 abstract "On-machine measurement (OMM) with a touch-trigger probe has been proved to be a promising technology for machining error identification and compensation without involving re-fixturing positioning errors. Sampling strategy is therefore crucial for accurate and efficient surface inspection. Existing sampling strategies generally distribute sample points only based on the information of the design surface. The sample points might be insufficient in defect areas, causing the reconstructed surface could not represent the actual surface well. In this paper, an intelligent sampling strategy for freeform surfaces is proposed. First, real-time interactive communication between the personal computer and the machine tool computer numerical control (CNC) system is realized by constructing a TCP/IP-based shared folder. Through the shared folder, the sample point planning and OMM inspection are alternately conducted until the predetermined limitation is satisfied. Then, based on two proposed novel sampling criteria, the actual surface information (all the points that have been inspected) is also taken into consideration during the sample point planning. The proposed strategy can optimize the distribution of sample points and automatically set more sample points in the defect. The feasibility and advantages of the proposed strategy are verified by the simulation and experiment. For the tested free-form surface, the maximum reconstruction error is reduced by 68.8% and 79.8% respectively compared with the uniform and adaptive strategies, when the number of sample points is all set as 196." @default.
• W4385627270 created "2023-08-08" @default.
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• W4385627270 date "2023-01-01" @default.
• W4385627270 modified "2023-10-15" @default.
• W4385627270 title "Intelligent Sampling Strategy for Freeform Surfaces Based on On-Machine Measurement Through Real-Time Interactive Communication" @default.
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• W4385627270 doi "https://doi.org/10.1109/tim.2023.3302388" @default.
• W4385627270 hasPublicationYear "2023" @default.
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