Automotive parts inspection - non-standard inspection fixture solutions
Inspection fixtures are an indispensable component of the automotive, electronic product processing and other industries. It is our mission to provide these industries with high-standard and high-specification precision sensors that match the standardized inspection fixture tools.
Automobile inspection fixtures are customized tools based on the various components of the automobile according to high specifications and high standards. With the rapid development of the automotive industry, automotive inspection fixtures have become an indispensable component of automobiles. High-precision detection sensors are widely used in glass detection, bearing detection, interior parts detection, lamp detection and other fields.
The main body of the automotive inspection fixture is the main frame of the inspection fixture, including the base (reference surface), body surface and mounting part of the inspection fixture. Generally speaking, the base and body surface use epoxy resin or aluminum.
Automobile inspection fixture manufacturing can be divided into aluminum parts, iron parts or resins. Considering the usual maintenance and service life, we should perform regular maintenance.
When designing automotive inspection fixtures, it is necessary to consider more from the operating space, portability, and the relevance of some body parts of the inspection fixture, and provide high-standard and high-specification automotive inspection fixtures for automobile manufacturers, which improves the overall quality and service life of the automobile.
Problem: The measurement efficiency and accuracy of traditional inspection tools are low, and the requirements for the dimensional accuracy of automobile parts are constantly increasing.
Body dimensional accuracy control is a key technology for automobile manufacturers. Whether it is "2 mm engineering" or "6 sigma management", its essence is inseparable from the data-based inspection and monitoring system. Through modeling and analysis of manufacturing process inspection data, the source of manufacturing dimensional deviation of the body and parts is controlled to ensure the stability of manufacturing and ultimately improve the assembly accuracy of the whole vehicle. However, manual measuring tools are generally used for inspection at present, which has low measurement efficiency and large manual measurement errors. In addition, the use of "go and no-go gauges" for measurement makes it impossible to obtain specific values. The errors in measurement efficiency and manual inspection make it difficult to conduct statistical analysis of system data, affecting the improvement of vehicle quality.
The contradiction between the generally low manufacturing accuracy of inspection tools and the continuous improvement of vehicle accuracy is becoming more and more prominent. The current manufacturing accuracy of inspection tools is still at the manufacturing accuracy level of -0.1~+0.05 mm for positioning holes, ±0.1 mm for inspection module manufacturing accuracy, and ±0.15 mm for inspection module manufacturing accuracy. Correspondingly, the quality accuracy requirements of the whole vehicle are getting higher and higher. The accuracy requirements of large interior parts assembly are ≤1 mm, the dimensional accuracy requirements of structural injection parts have reached 0.5 mm, and the key matching requirements can reach 0.3 mm. The current traditional processing costs in my country are also very high.
Solution: Intelligent inspection fixtures improve the work efficiency and measurement accuracy of inspection
Intelligent inspection fixtures are based on traditional inspection fixtures, and add automatic measurement mechanisms. Combined with the information processing system, they automatically generate part inspection reports and data analysis reports, which improves measurement efficiency, reduces manual measurement errors, avoids errors in data processing and analysis, and improves the accuracy of inspection reports and measurement efficiency. Automatic statistical analysis and comparison of online processing product inspection data can identify the conformity, stability, and consistency of measurement data dimensions. Design alarm rules for abnormal dimensional fluctuations and abnormal change trends in the program to achieve preventive alarms for production lines, avoid unqualified products, batch manufacturing, and continued deterioration of production lines, and minimize the loss of inspection fixture quality.
