Real-time monitoring method in metal friction wear self-repair process

Abstract

The invention discloses a real-time monitoring method in a metal friction wear self-repair process, belongs to the self-repair surface online monitoring technology field and relates to a method presenting the friction wear repair effect through measuring temperature change of a self-repair process. As self-repair occurs in the friction wear process, a self-repair state can be presented through temperature change. After irradiation of an infrared source, infrared light is reflected by a surface of a friction pair and arrives an infrared sensor through a filter and an optical element, the reflected light signal is converted by the infrared sensor into an electrical signal, processing is carried out through a computer, and a temperature change curve of the self-repair process is finally acquired. According to the method, non-contact measurement is employed, sampling frequency is up to 200kHz, measurement precision is high, the scope is proper, and an original temperature field is not destroyed. The method is advantaged in that the method is more visual and accurate compared with a spectrum analysis method and a contact resistance method, and professional measurement knowledge and experience are not required.

Description

technical field [0001] The invention belongs to the field of infrared monitoring, and in particular relates to a real-time monitoring method in the self-repairing process of metal friction and wear. Background technique [0002] In recent years, great progress has been made in the detection technology for self-repair of worn surface, but most of these technologies require multiple downtime inspections of equipment; some people use scanning electron microscope, energy spectrometer and nano-indentation instrument to analyze the morphology, elements and The analysis of microscopic mechanical properties is complicated and also requires the machine to stop production. The development of online detection technology in self-repair detection provides a new way for self-repair detection. Dalian Maritime University and other scholars use the contact resistance method to test the lubrication of the friction surface, but the test results do not have quantitative analysis ability and ca...

AI Technical Summary

Problems solved by technology

Dalian Maritime University and other scholars use the contact resistance method to test the lubrication of the friction surface, but the test results do not have quantitative analysis ability and cannot reflect the self-repair process; the accuracy of online oil monitoring is good, but there are also large errors, which cannot be expressed intuitively Self-healing surface; vibration and noise detection is sensitive to external environmental influences, and the current technology is not yet mature

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