A Simulation Method of Abrasive Flow Machining for Quality Control

Abstract

The invention relates to a simulation method for quality control of abrasive flow processing. Based on the simulation results, innovative introduction of different PH values, combined with different processing factors, selection of processing parameters through a uniform experimental design method, and abrasive grain flow processing In the flow machining experiment, the AFM factor table is firstly designed, and the specific steps are as follows: (1) selection of processing parameters; (2) analysis of AFM results; (3) optimization of AFM parameters; (4) Target optimization and model validation. The present invention designs the experimental route according to the factors selected in the simulation, and selects the experimental method before the experimental processing, selects the uniform experimental design method, obtains the mathematical model of surface roughness, abrasive physical properties and processing time, and performs experimental verification , which verifies the correctness of the simulation theory and the validity of the model, which is consistent with the goal to be achieved, and provides theoretical guidance for the actual production and processing of abrasive flow.

Description

technical field [0001] The invention relates to the technical field of mechanical processing and grinding, in particular to a simulation method for quality control of abrasive flow processing. Background technique [0002] In experimental research, it is often necessary to use the idea of ​​a uniform design method to select a better value through uniform dispersion, and then optimize the variables to obtain its objective function and then obtain the optimal condition. This experiment involves three roughness measurement methods, which have higher accuracy for the measured value, and the scanning electron microscope test is carried out, and the shape analysis of the workpiece before and after processing is carried out from the mesoscopic state. After different abrasive particle sizes, abrasive concentrations, and processing time that match the simulation, different acid-base abrasives are innovatively selected for processing analysis, and experimental processing analysis can ...

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Problems solved by technology

(1) "Uniform dispersion" allows each fully representative experimental point to be evenly distributed within the experimental range, and finally the correct index is obtained; (2) "Neatness and comparability" makes it easier to estimate the main effect and sum of each factor The partial interaction effect is more convenient for the analysis of the experimental results, and can analyze the influence of each factor on the index and the change rule of the index; while in the orthogonal design, in order to achieve "tidy and comparable", the experimental points are not sufficiently "uniform". Scattered", can only choose a large number of experimental points, at least one experiment (q is the number of levels of the factor), and the advantage of the uniform design idea is that it can still maximize the experimental range and the number of levels. The reduction of the number of experiments can be achieved only by 2 experiments equal to the number of factor levels, but it cannot achieve neat comparability, and the experimental results adopt the regression analysis method

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