An empirical model for estimating density of multicomponent system based on limited data
| dc.contributor.author | Zhang G.-H.; Singh A.K.; Chou K.-C. | |
| dc.date.accessioned | 2025-05-24T09:58:20Z | |
| dc.description.abstract | In this article, an empirical model for calculating the density of multicomponent system has been proposed based on the assumption that the estimated results will be more accurate when the calculated composition point is close to the selected points. Distance criterion has been introduced to make it convenience to choose the nearest dots. Al2O3-CaO-MgO- SiO2 system is used to check the validity of this model, and the calculation results conclude that it can work in density estimation. | |
| dc.identifier.doi | https://doi.org/10.1515/HTMP.2009.28.5.309 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/23186 | |
| dc.relation.ispartofseries | High Temperature Materials and Processes | |
| dc.title | An empirical model for estimating density of multicomponent system based on limited data |