Method for evaluating rubber mixing process

Abstract

The invention belongs to the technical field of evaluation of rubber production and relates to a method for evaluating a rubber mixing process. The method comprises the following steps of: cutting rubber to be mixed into 25 sample wafers for use by conventional equipment, adopting a microscopy process, obtaining carbon black information by analyzing a rubber material image including carbon black; observing the sections of the rubber material sample wafers by a microscope; inputting the amplified section image into a computer by a digital imaging device; then converting a grey image into a black-and-white image by binaryzation by a threshold segmentation method, and achieving identification of a carbon black aggregate; then respectively selecting five different areas of each sample wafer to detect respectively; calculating mean radius of the carbon black aggregate in each area and the concentration in sizing material; and obtaining data of the sample wafers according to five detection results of each sample wafer, and then carrying out stability judgment. The method has the advantages that the principle is reliable, the process is simple and easily controlled, evaluation is accurate; the index is clear, and the application prospect is wide.

Description

Technical field: [0001] The invention belongs to the technical field of rubber production evaluation, and relates to a method for evaluating the rubber mixing process, in particular to a process method for evaluating the dispersion stability of carbon black in rubber during the rubber mixing process. Background technique: [0002] At present, fillers such as carbon black and silica are important reinforcing agents for rubber, and their dispersibility has a very important impact on the physical and mechanical properties and subsequent processing properties of the rubber. The degree of dispersion of carbon black (including reinforcing agents such as white carbon black) is related to many factors such as mixing method and mixing time. The change of carbon black will produce different mixing effects; the evaluation of carbon black dispersibility will help to study the influence of various process parameters on dispersibility, optimize the process flow, and also provide new mixin...

AI Technical Summary

Problems solved by technology

The hardware structure of the existing carbon black detection system is relatively complicated, the preparation and use operation costs are high, and the operation cost is large. The evaluation model realizes the quantitative evaluation of the dispersion of carbon black. This detection method detects a small rubber area, and the detection results can only reflect the local dispersion, and cannot evaluate the overall mixing state of carbon black in the rubber compound.

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