Influence of artificial aging on the lubricating ability of water miscible metalworking fluids View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02-25

AUTHORS

Benedikt Seidel, Daniel Meyer

ABSTRACT

The understanding of the complex aging processes of water miscible metalworking fluids and their effect on the performance in machining processes is of high relevance for the metalworking industry. Nevertheless, only little knowledge is available in this context. Due to the highly dynamic interactions in the complex ecosystem “metalworking fluid”, a distinct correlating of the aging process with the performance of the fluid in metalworking processes is hardly possible. Consequences of the aging process on physical, chemical and biological properties of the fluid have been described in several research works. These consequences comprise aspects such as the decrease of the pH-value, the increase of the droplet size, the presence of bacterial cells or the modification of the metalworking fluid composition. The novel approach of the presented work aims to investigate the individual influence of isolated aging aspects on the lubricity of metalworking fluids. Therefore, selected aging aspects were artificially varied separately from each other and evaluated in tribological experiments. It could be shown that the physical presence of bacterial cells as well as extracellular polymeric substances have positive influence on the lubricating ability while the pH-value has no effect and the droplet size only a slight influence on the fluids performance. The results reveal essential knowledge for the design of future monitoring and maintenance strategies for water miscible metalworking fluids. More... »

PAGES

1-11

References to SciGraph publications

Journal

TITLE

Production Engineering

ISSUE

N/A

VOLUME

N/A

Author Affiliations

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11740-019-00891-6

DOI

http://dx.doi.org/10.1007/s11740-019-00891-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112379041


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