{
  "abstract": "Recommendation system and method for cutter and coating combination based on workpiece parameters are provided. The system comprises: an experiment module, configured for collecting machining performance data including cutter characteristic data and cutting performance data of workpiece; a prediction-model-establishment module, configured for establishing a performance-prediction model; a simulation module, configured for randomly combining parameters to generate individuals in an initial population, and inputting the individuals into the trained performance-prediction model to obtain data; a data-processing module, configured for processing the data to obtain a life-evaluation coefficient, a quality-evaluation coefficient, and a comprehensive evaluation coefficient; an iterative optimization module, configured for iteratively optimizing the initial population through a genetic algorithm based on minimization of the comprehensive evaluation coefficient; and extracting an optimal value of cutter parameters and an optimal value of coating parameters; and a recommendation module, configured for selecting an optimal combination and recommending to a user.",
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  "source_date": "2026-04-16",
  "source_id": "US-2026104697-A1",
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  "title": "Recommendation system and method for cutter and coating combination based on workpiece parameters",
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