A new group contribution-based model for estimation of lower flammability limit of pure compounds was written by Gharagheizi, Farhad. And the article was included in Journal of Hazardous Materials in 2009.Reference of 763-69-9 The following contents are mentioned in the article:
In the present study, a new method is presented for estimation of lower flammability limit (LFL) of pure compounds This method is based on a combination of a group contribution method and neural networks. The parameters of the model are the occurrences of a new collection of 105 functional groups. Basing on these 105 functional groups, a feed forward neural network is presented to estimate the LFL of pure compounds The average absolute deviation error obtained over 1057 pure compounds is 4.62%. Therefore, the model is an accurate model and can be used to predict the LFL of a wide range of pure compounds This study involved multiple reactions and reactants, such as Ethyl 3-ethoxypropanoate (cas: 763-69-9Reference of 763-69-9).
Ethyl 3-ethoxypropanoate (cas: 763-69-9) belongs to esters. Esters perform as high-grade solvents for a broad array of plastics, plasticizers, resins, and lacquers, and are one of the largest classes of synthetic lubricants on the commercial market. Esters contain a carbonyl center, which gives rise to 120° C–C–O and O–C–O angles. Unlike amides, esters are structurally flexible functional groups because rotation about the C–O–C bonds has a low barrier. Their flexibility and low polarity is manifested in their physical properties; they tend to be less rigid (lower melting point) and more volatile (lower boiling point) than the corresponding amides. Reference of 763-69-9
Referemce:
Ester – Wikipedia,
Ester – an overview | ScienceDirect Topics