Self-adapted ultrasonic detector for online flaw detection for train wheel

Abstract

The invention discloses a self-adapted ultrasonic detector for online train wheel flaw detection. In the invention, a probe array consists of more than two transversal rows of probes or two inner and outer longitudinal columns of probes, and the probes are arranged in a mode that: bi-crystal probes and small-angle mono-crystal probes are alternatively arranged in the inner column, bi-crystal probes and large-angle mono-crystal probes are alternatively arranged in the outer column and the bi-crystal probes of the inner and outer columns are not arranged in the same row; inductive sensors and ejector pins of the inductive sensors are arranged on the inner sides of probes of which the probe bases are in the inner column; the vertical heights of the ejector pins are greater than the heights of the probes in the inner column, the centers of the ejector pins and the centers of the inner-column and outer-column probes in the same row are all positioned on the same transverse line and the inductive sensors are connected with a control device. The detector can implement automatic online detection of full areas of a rim and a spoke of the train wheel accurately and reliably.

Description

technical field [0001] The invention relates to an adaptive ultrasonic detection device for on-line flaw detection of train wheels. Background technique [0002] At present, the flaw detection of train wheels generally adopts a manual detection method, which uses a single probe to manually move back and forth on the wheel tread to complete the detection of most areas. The types of defects detected by it are limited, the efficiency is low, and due to manual operation, the detection error is large, resulting in poor stability and poor repeatability. There is also an online automatic flaw detection device for train wheels. The probe lacks a small-angle probe and cannot detect deep-seated defects, and the trigger device and the probe are linked, resulting in low measurement accuracy and easy false triggering. The contact surface of the probe is always kept horizontal, and it is incompatible with the movement. Poor followability when the wheel tread is in contact, resulting in p...

AI Technical Summary

Problems solved by technology

The types of defects detected by it are limited, the efficiency is low, and due to manual operation, the detection error is large, resulting in poor stability and poor repeatability

There is also an online automatic flaw detection device for train wheels. The probe lacks a small-angle probe and cannot detect deep-seated defects, and the trigger device and the probe are linked, resulting in low measurement accuracy and easy false triggering. The contact surface of the probe is always kept horizontal, and it is incompatible with the movement. Poor followability when the wheel tread is in contact, resulting in poor coupling between the wheel and the probe

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