Auto Parts Cleanliness Evaluation

significance:

Since the last century, more and more manufacturers begin to understand the importance of cleanliness, but how to detect, testing has become a thorny issue standard quality inspection departments. Currently most of the machining industry, including automotive engine and ancillary plant cleanliness detection concept is not very strict, even if detection can also use more medical needles or overhead tanks and other manual mode operation, no special detection equipment, so that cleaning is not clean not completely impossible to the impurities present in relatively completely separated, so that the results can not have a high repeatability and reproducibility, and therefore can not have more accurate results. Some new entrants to the automotive industry supporting plants, and even has no concept of cleanliness, let alone do cleanliness detected.

For many industries, cleanliness control is equally important. With the automotive industry, these industries often occur many product life and reliability, reduce quality problems, the main crux of the problem also lies in the parts cleaning process without a net, the whole assembly time and mixed with a lot of dust and impurities. Therefore, to ensure product quality and reliability, they must also demanding clean parts. These industries include: engine, aerospace, semiconductor, data storage, medical equipment, communications, precision instruments, wear monitoring equipment, such as large-scale mining.

Test purposes:

Many product life and reliability of the automotive industry to reduce product quality problems often occur, which are the main crux of the problem lies in the parts cleaning process without a net, the whole assembly time and mixed with a lot of dust and impurities. Therefore, to ensure product quality and reliability, they must also demanding clean parts, and improve the quality of products, make products more competitive.

Test items:

Parts particle cleanliness testing

Cleanliness pollutant particle size analysis

Pollutants Component Analysis