Development of a software-tool based on a statistical model for predicting exposure during MAG/MIG welding

Status:

ongoing

Aims:

In metalworking trades and industry, welding by hand is still the most important connection technique today. The activity can be associated with various health hazardous exposures. Welding fumes as a complex mixture of substances have been classified by the International Agency for Research on Cancer (IARC) as carcinogenic to humans.

This project aims to develop a software tool for estimating the exposure to alveolar welding fumes and metals during metal active gas (MAG/MIG) welding.

Activities/Methods:

By analyzing hazardous substance measurement data from the WELDOX study using statistical models, it was possible to quantify the influence of certain process parameters on exposure. On this basis, a more complex model for a more accurate estimation of inhalation exposure to welding fumes will be developed using a broader database. First of all, the most important modifying factors are to be identified for this purpose, which should be taken into account in a successive extension of the model.

Results:

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