The Experts below are selected from a list of 294 Experts worldwide ranked by ideXlab platform

A. Tanioka - One of the best experts on this subject based on the ideXlab platform.

  • Predicting the Effect of Dissolved Salt on the Vapour-Liquid Equilibria for Alcohol-Water-Salt Systems
    Chemical Engineering Research and Design, 1999
    Co-Authors: T.-j. Chou, A. Tanioka
    Abstract:

    A method for the prediction of the Salting effect on the vapour-liquid equilibria of ternary alcohol-water-Salt systems is proposed. In the developed method, the nonidealities of the liquid phase are considered by employing Tan's modified Wilson model to describe the solvent-solvent interaction which can be obtained from the original Wilson model, and the solvent-Salt interaction which can be estimated by the contribution of ion-ion and solvent-ion interactions. The parameters required by the proposed method can be gained from the solvent-solvent interaction parameters in the liquid phase activity coefficient model and the vapour pressure data of the solvent-Salt system. No ternary parameter is required. The proposed method has been used to predict the VLE of 16 ternary alcohol-water-Salt systems, and the predicted results agree well with the experimental data reported in the literature. The overall mean absolute deviation of bubble point temperatures is 0.804 K, and that of the vapour phase compositions is 0.0289.

D.d. Walker - One of the best experts on this subject based on the ideXlab platform.

  • Solvent Extraction Batch Distribution Coefficients with Savannah River Site Dissolved Salt Cake
    2002
    Co-Authors: D.d. Walker
    Abstract:

    Researchers characterized high-level waste derived from Dissolved Salt cake from the Savannah River Site (SRS) tank farm and measured the cesium distribution coefficients (DCs) for extraction, scrub, and stripping steps of the caustic-side solvent extraction (CSSX) flowsheet. The measurements used two SRS high-level waste samples derived entirely or in part from Salt cake. The chemical compositions of both samples are reported. Dissolved Salt cake waste contained less Cs-137 and more dianions than is typical of supernate samples. Extraction, scrub, and strip DCs values for both samples exceeded process requirements and agreed well with model predictions. The results indicate no significant problems processing Dissolved Salt cake compared to supernate. During the course of testing, researchers observed sorption of cesium on glass sample vials containing strip solutions. The problem was detected in the material balance calculated for each organic/aqueous contact. Methods and recommendations for avoiding this problem are discussed.

  • SOLVENT EXTRACTION BATCH DISTRIBUTION COEFFICIENTS WITH SAVANNAH RIVER SITE Dissolved Salt CAKE
    2002
    Co-Authors: D.d. Walker
    Abstract:

    Researchers characterized high-level waste derived from Dissolved Salt cake from the Savannah River Site (SRS) tank farm and measured the cesium distribution coefficients (DCs) for extraction, scrub, and stripping steps of the caustic-side solvent extraction (CSSX) flowsheet. The measurements used two SRS high-level waste samples derived entirely or in part from Salt cake. The chemical compositions of both samples are reported. Dissolved Salt cake waste contained less Cs-137 and more dianions than is typical of supernate samples. Extraction and scrub DCs values for both samples exceeded process requirements and agreed well with model predictions. Strip DCs values for the Tank 46F sample also met process requirements. However, strip DCs values could not be calculated for the Tank 38H sample due to the poor material balance for Cs-137. Potential explanations for the poor material balance are discussed and additional work to determine the cause is described.

T.-j. Chou - One of the best experts on this subject based on the ideXlab platform.

  • Predicting the Effect of Dissolved Salt on the Vapour-Liquid Equilibria for Alcohol-Water-Salt Systems
    Chemical Engineering Research and Design, 1999
    Co-Authors: T.-j. Chou, A. Tanioka
    Abstract:

    A method for the prediction of the Salting effect on the vapour-liquid equilibria of ternary alcohol-water-Salt systems is proposed. In the developed method, the nonidealities of the liquid phase are considered by employing Tan's modified Wilson model to describe the solvent-solvent interaction which can be obtained from the original Wilson model, and the solvent-Salt interaction which can be estimated by the contribution of ion-ion and solvent-ion interactions. The parameters required by the proposed method can be gained from the solvent-solvent interaction parameters in the liquid phase activity coefficient model and the vapour pressure data of the solvent-Salt system. No ternary parameter is required. The proposed method has been used to predict the VLE of 16 ternary alcohol-water-Salt systems, and the predicted results agree well with the experimental data reported in the literature. The overall mean absolute deviation of bubble point temperatures is 0.804 K, and that of the vapour phase compositions is 0.0289.

Zaher Mundher Yaseen - One of the best experts on this subject based on the ideXlab platform.

  • total Dissolved Salt prediction using neurocomputing models case study of gypsum soil within iraq region
    IEEE Access, 2021
    Co-Authors: Neeraj Dhanraj Bokde, Zainab Hasan Ali, Maysam Th Alhadidi, Aitazaz A Farooque, Mehdi Jamei, Ali Al Maliki, Beste Hamiye Beyaztas, Hossam Faris, Zaher Mundher Yaseen
    Abstract:

    Quantification of the soil physicochemical properties is one of the essential process in the field of soil geo-science. In the current research, three types of machine learning (ML) models including support vector machine (SVM), random forest (RF), and gradient boosted decision tree (GBDT) were developed for Total Dissolved Salt (TDS) prediction over several locations in Iraq region. Various physicochemical soil properties were used as predictors for the TDS prediction. Four modeling scenarios are constructed based on the types of the associated soil input variables properties. The applied ML models were analyzed and discussed based on several statistical measures and graphical presentations. Based on the correlation analysis; Gypsum concentration, Sulfur trioxide ( $SO_{3}$ ), Chloride (Cl), and organic matter (OR) were the essential soil properties for the TDS concentration influence. The prediction results indicated that incorporating all the types of input variables including chemical, soil consistency limits, and soil sieve analysis attained the best prediction process. In quantitative terms, the SVM model attained the maximum coefficient of determination ( $R^{2}=0.849$ ) and minimum root mean square error (RMSE=3.882). Overall, the development of the ML models for the TDS of soil prediction provided a robust and reliable methodology that contributes to the soil geoscience field.

A. Thaller - One of the best experts on this subject based on the ideXlab platform.