General front axle fall detection device

Abstract

The invention discloses a general front axle fall detection device for detecting the fall size of a front axle of an automobile. The device comprises a rough detection device and a fine detection device, wherein a checkout console of the rough detection device is supported on the lower end face of the front axle, and a rough fall detection tool is clamped on the fist outer edge surface of the front axle; a checkout console of the fine detection device is supported on the lower end face of the front axle, and a fine fall detection tool passes through a fist hole of the front axle. The distance (fall) size between the center of the fist surface of the front axle after rough and fine processing and the surface of a plate spring is indirectly calculated by using a general tool such as a height gauge and the like. The invention provides a detection technique with strong universality and capability of detecting front axle fall of multiple varieties for front axle production, which can accurately measure the specific size of the fall, provide specific data for adjustment and effectively reduce waste products because the fall size is over-proof; the detection can be performed on production sites conveniently and quickly, the adjustment time of the detection tools in the detection process is reduced, and the labor intensity of detection is lightened; and the manufacturing cost of the detection tools is reduced, and the investment cost of the detection tools can be saved by tens of thousands of yuan every year.

Description

technical field [0001] The invention relates to an automobile front axle drop detection device which can conveniently detect the size of the front axle drop of various specifications. Background technique [0002] At present, the distance (drop) between the center of the fist surface and the leaf spring surface during the processing of the front axle of the automobile is mostly a special inspection tool, or a three-coordinate measuring instrument is used for detection. These two methods have a lot of inconvenience in the actual production process: the former is highly specific, and one inspection tool can only be used to detect the front axle drop of one specification. The cost has also increased, and it is far from being able to adapt to the increasing speed of new products. It can only qualitatively judge whether the processing size is qualified, but cannot accurately measure the specific value of the drop, and it is not convenient to adjust the size during processing; the...

AI Technical Summary

Problems solved by technology

These two methods have a lot of inconvenience in the actual production process: the former is highly specific, and one inspection tool can only be used to detect the front axle drop of one specification. The cost has also increased, and it is far from being able to adapt to the increasing speed of new products. It can only qualitatively judge whether the processing size is qualified, but cannot accurately measure the specific value of the drop, and it is not convenient to adjust the size during processing; the latter is due to the large initial investment. High maintenance costs and inconvenient testing, and the real-time testing of the production line cannot be realized, and the quality of parts cannot be monitored in real time, so it is not suitable for on-site production testing

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