scholarly journals Anticipating hyperthermic efficiency of magnetic colloids using a semi-empirical model: a tool to help medical decisions

2017 ◽  
Vol 19 (10) ◽  
pp. 7176-7187 ◽  
Author(s):  
M. B. Fernández van Raap ◽  
D. F. Coral ◽  
S. Yu ◽  
G. A. Muñoz ◽  
F. H. Sánchez ◽  
...  
Keyword(s):  
Empirical Model ◽  
Heat Dissipation ◽  
Magnetic Hyperthermia ◽  
Empirical Modeling ◽  
Medical Decisions ◽  
Clinical Cancer ◽  
Magnetic Colloids ◽  
Semi Empirical

Semi-empirical modeling of small nanoparticle heat dissipation helps the designing of medical decisions for clinical cancer magnetic hyperthermia.

Theoretical and Empiriical Modeling of the Rheology of Fresh Cement Pastes

1992 ◽  
Vol 289 ◽  
Author(s):  
Gebran N. Karam
Keyword(s):  
Experimental Investigation ◽  
Rheological Properties ◽  
Empirical Model ◽  
General Framework ◽  
Theoretical Modeling ◽  
Empirical Modeling ◽  
Rheological Characteristics ◽  
Concentrated Suspensions ◽  
Cement Pastes ◽  
Semi Empirical

AbstractThe most important property of cements and concretes after strength is the workability, which is controlled by the rheological characteristics of the mix. Theoretical modeling having proved complicated and in some cases mathematically untractable, cement specialists have concentrated on empirical based models for the last two decades. The major theoretical contributions to date on the properties of colloidal and concentrated suspensions are summarized and a general framework for theoretical modeling of cement viscosity is established. The empirical modeling and the experimental investigation of the rheological properties of fresh cements are reviewed and discussed. A semi-empirical model is proposed and its validity tested in the interpretation of some published experimental results.

Semi-empirical modeling and optimization of process parameters on overcut during MFAPM-EDM of Al6061 alloy

2021 ◽  
pp. 095440892110158
Author(s):  
Arun Kumar Rouniyar ◽  
Pragya Shandilya
Keyword(s):  
Magnetic Field ◽  
Process Parameters ◽  
Empirical Model ◽  
Discharge Current ◽  
Desirability Function ◽  
Experimental Results ◽  
Empirical Modeling ◽  
Machining Process ◽  
Optimum Process ◽  
Semi Empirical

Magnetic field assisted powder mixed electrical discharge machining (MFAPM-EDM) process is a hybrid process machining process which improves the machining characteristics and stability of process using assistive magnetic field and dielectric admixed powder. In this article, study on overcut has been performed on MFAPM-EDM machined Aluminium 6061 alloy. Discharge current, powder concentration, pulse on duration, pulse off duration, and magnetic field strength as process parameters have been varied during experimentation. Box Behnken design approach was employed for experimental design to carry out the experiments. Suitable Semi-empirical model was formulated using dimensional analysis for predicting the overcut. The empirical model developed was also compared with RSM model and was found better in predicting the response. Optimum process parameters for minimal overcut was conducted desirability function approach of RSM. Experimental results divulged discharge current as the most important parameters for overcut as compared to other process parameters on account of higher F-value. Confirmatory experiments revealed good correlation between optimum and experimental results.

scholarly journals A Semi-Empirical Model for Predicting Frost Properties

Processes ◽  
2021 ◽  
Vol 9 (3) ◽  
pp. 412
Author(s):  
Shao-Ming Li ◽  
Kai-Shing Yang ◽  
Chi-Chuan Wang
Keyword(s):  
Thermal Conductivity ◽  
Linear Programming ◽  
Numerical Model ◽  
Empirical Model ◽  
Quantitative Method ◽  
Predictive Ability ◽  
Dimensionless Temperature ◽  
Crystal Shape ◽  
Proposed Model ◽  
Semi Empirical

In this study, a quantitative method for classifying the frost geometry is first proposed to substantiate a numerical model in predicting frost properties like density, thickness, and thermal conductivity. This method can recognize the crystal shape via linear programming of the existing map for frost morphology. By using this method, the frost conditions can be taken into account in a model to obtain the corresponding frost properties like thermal conductivity, frost thickness, and density for specific frost crystal. It is found that the developed model can predict the frost properties more accurately than the existing correlations. Specifically, the proposed model can identify the corresponding frost shape by a dimensionless temperature and the surface temperature. Moreover, by adopting the frost identification into the numerical model, the frost thickness can also be predicted satisfactorily. The proposed calculation method not only shows better predictive ability with thermal conductivities, but also gives good predictions for density and is especially accurate when the frost density is lower than 125 kg/m3. Yet, the predictive ability for frost density is improved by 24% when compared to the most accurate correlation available.

scholarly journals Extrapolability and limitations of a semi-empirical model for the simulation of volumetric expanders

2017 ◽  
Vol 129 ◽  
pp. 315-322 ◽  
Author(s):  
Olivier Dumont ◽  
Rémi Dickes ◽  
Vincent Lemort
Keyword(s):  
Empirical Model ◽  
Semi Empirical
Sign in / Sign up

Export Citation Format

Share Document