| 학회 | 한국화학공학회 |
| 학술대회 | 2016년 봄 (04/27 ~ 04/29, 부산 BEXCO) |
| 권호 | 22권 1호, p.207 |
| 발표분야 | 공정시스템 |
| 제목 | Prediction of liqiud viscosity using SVRC-SQPR model |
| 초록 | Viscosity is an important transport property used in engineering design for transportation and processing of fluids. Although experimental determination of Viscosity of liquid remains option, It requires significant time and cost investment. Also, In case of toxic material, it is hard to do a experiment. Current liquid viscosity models, which utilize traditional physical properties as inputs, are limited by their narrow range of applicability and/or by poor suitability for generalization. Further, recent quantitative structure-property relations (QSPR) model.In this study, To overcome the drawbacks of conventional QSPR models, an approach that involves the use of QSPR methodology to generalize the model parameters of the developed SVRC (Scaled variable reduced coordinate) model was proposed. By Using SVRC model, We can do precise prediction of liquid viscosity. The Scaled-Variable-Reduced-Coordinate (SVRC) framework was used to correlate the available data for the saturation properties under consideration. Quantitative Structure-Property Relationships (QSPR) was used to generalize the SVRC model parameters. |
| 저자 | 이성민, 양대륙 |
| 소속 | 고려대 |
| 키워드 | 공정모델링 |
| 원문파일 | 초록 보기 |
