Determination of composition of multicomponent alloys by decoding their densities if metals are not known?

Question

The density (Specific Gravity) is a valuable index of chemical composition of alloys. Although, one can calculate the composition of binary alloys of known metals from their densities (Specific Gravities) in straight forward manner, but for alloys having three or more constituents it leads to a mathematically untenable situation as we have more unknowns than the equations. The densities of such multi-component alloys are always associated to a large number of probable compositions. So, mathematically it is not possible to calculate all such probabilities and then to point out authentically with certainty as to which one particular composition does actually belong to the given alloy.



We are making an attempt to establish that the ‘Archimedean method’ still holds good and may be employed successfully to determine the compositions of multi-component alloys by decoding their densities into percent elemental compositions, even without prior knowledge of constituent metals. It further suggests that the densities of alloys hold the characteristic feature – the fingerprints of alloys which may be decoded for forecasting the presence of elements and their compositions in n-component alloys.



The software we have developed successfully decodes the densities of multi-component alloys into elemental percent composition without any prpor knowledge of constituent metals. It automatically detects the presence of the metals in given alloys by decoding their densities.We are making our sincere efforts to compare our theoretical data with experimental results.

May anyone help us financially or otherwise in order to complete this task?

Our findings are likely to publish in forthcoming issue of 'Material Letters' a journal of Elsevier Pblication. For more details regarding our findigs, one may visit the following link to view the abstract free of cost :



Theoretical optimisation of constitution of alloys by decoding their densities
Materials Letters, In Press, corrected Proof, Available online 7 November 2006
B.C. Rathore, Pratibha and Bharati

http://dx.doi.org/10.1016/j.matlet.2006.10.052



Your kind responses in this regard shall be highly appreciated.

Dr. B. C. Rathore

[e-mail]

Answer 1

The link gives no more details about the method than what you gave above. And even now the method is not convincing since there are some formidable theoretical problems in this approach.

Anyway, good luck.