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Title:The Effect of Chip Adsorption on Selective Depletion from a MultiComponent Synthetic Metalworking Fluid
Author(s):Eppert, Joseph J.; DeVor, Richard E.; Kapoor, Shiv G.; Rajagopalan, Nandakishore
Subject(s):Metalworking fluids
Abstract:Some metalworking fluids are designed to coat the surfaces of newly machined metal with rust inhibitors. At some point, these inhibitors are expected to become depleted in the metalworking fluid. How quickly does this happen and can the depletion be predicted by a model? ISTC researcher Kishore Rajagopalan and colleagues from the University of Illinois at Urbana-Champaign devised a predictive model and verified experimentally that the model does indeed accurately predict the inhibitor depletion. They also conducted a pilot study to show the predictive model in use in an industrial application and verified that other components in the metalworking fluid did not interfere with the adsorption of the inhibitor. With this technology, manufacturers can predict when inhibitor levels will be low and add fresh components to maintain optimum coating conditions in the metalworking fluid baths.
Issue Date:2003
Publisher:Champaign, IL : Illinois Sustainable Technology Center
Series/Report:Contaminants > Metalworking Fluids
Genre:Other
Data
Type:Other
Language:English
URI:http://hdl.handle.net/2142/103164
Date Available in IDEALS:2019-03-07
Related Item:http://doi.org/10.1115/1.1615794


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