scholarly journals Analysis of Aggregate Morphological Characteristics for Viscoelastic Properties of Asphalt Mixes Using Simplex Lattice Design

Materials ◽  
2018 ◽  
Vol 11 (10) ◽  
pp. 1908 ◽  
Author(s):  
Wensheng Wang ◽  
Yongchun Cheng ◽  
Guojin Tan ◽  
Jinglin Tao
Keyword(s):  
High Temperature ◽  
Viscoelastic Properties ◽  
Asphalt Mixture ◽  
Morphological Characteristics ◽  
River Sand ◽  
Asphalt Mixes ◽  
Coarse Aggregates ◽  
Lattice Design ◽  
Simplex Lattice Design ◽  
Simplex Lattice

Morphological characteristics of aggregates have direct impacts on performances of asphalt mixes. This paper aims to investigate the effects of the morphological characteristics of fine and coarse aggregates on the high-temperature viscoelastic properties of asphalt mortars and mixtures. For this purpose, an experimental proportion scheme was designed for asphalt mixes prepared with three different types of aggregates (basalt, andesite and pebble/river sand) based on the simplex lattice design (SLD) method. Three morphological parameters were chosen to characterize shape, angularity and texture of aggregates. Afterwards, the uniaxial compression creep test was conducted for asphalt mixes and the high-temperature viscoelastic properties were obtained based on Burgers model. The effects of fine and coarse aggregates on the viscoelastic properties are analyzed through asphalt mortars and mixtures, respectively. The results showed that aggregate morphological characteristics correlate with the high-temperature viscoelastic properties of asphalt mixes, especially for fine aggregates. Aggregates with complex morphological characteristics are conducive to improving the deformation recovery and anti-deformation of asphalt mixes. Furthermore, coarse aggregates can enhance the anti-deformation of asphalt mixture effectively due to its skeleton effect.

scholarly journals BAYESIAN APPROACH TO THE D-OPTIMAL FOR MIXTURE EXPERIMENTAL DESIGN

2019 ◽  
Vol 3 (2) ◽  
pp. 109
Author(s):  
Uqwatul Alma Wizsa
Keyword(s):  
Optimal Design ◽  
Quadratic Model ◽  
Model Parameters ◽  
Potential Term ◽  
Lattice Design ◽  
Simplex Lattice Design ◽  
Simplex Lattice ◽  
Mixture Experimental Design ◽  
Special Case ◽  
Experimental Region

A mixture experiment is a special case of response surface methodology in which the value of the components are proportions. In case there are constraints on the proportions, the experimental region can be not a simplex. The classical designs such as a simplex-lattice design or a simplex-centroid design, in some cases, cannot fit to the problem. In this case, optimal design come up as a solution. A D-optimal design is seeking a design in which minimizing the covariance of the model parameter.  Some model parameters are important and some of them are less important. As the priority of the parameters, the prior information of parameters is needed in advance. This brings to a Bayesian D-optimal design. This research was focus on a baking experiment in which consisted of three ingredients with lower bounds on the proportion of the ingredients. The assumption model was a quadratic model. Due to the priority of the model parameters, the Bayesian D-optimal design was used to solve the problem. A point-exchange algorithm was developed to find the optimal design. Nineteen candidates is used to choose twelve design points. It found that the potential term is feasible to the actual model and design points represent overall points in the design area.

OPTIMASI FORMULA EKSTRAK JAHE MERAH (Zingiber officinale) DENGAN METODE KEMPA LANGSUNG MENGGUNAKAN ANALISIS SIMPLEX LATTICE DESIGN

2017 ◽  
Vol 1 (1) ◽  
pp. 47
Author(s):  
Hayatus Sa'adah
Keyword(s):  
Dosage Form ◽  
Ethanol Extract ◽  
Zingiber Officinale ◽  
Disintegration Time ◽  
Lattice Design ◽  
Simplex Lattice Design ◽  
Optimum Proportion ◽  
Simplex Lattice ◽  
Red Ginger ◽  
Tablet Hardness

Processing of medicinal plants into the appropriate dosage form can ensure security during use. It is a motivation in making acceptable dosage form which is easy and convenient to use, especially the manufacture of ethanol extract red ginger tablets using a combination of starch 1500 and amprotab.The study begins with the manufacture of dry extract of red ginger. Optimization of making tablets using a combination of starch 1500 and disintegrator with simplex lattice design using three formulas is done by direct compaction method. Further testing on the tablet hardness, friability and disintegration time.The results showed starch 1500 has a greater influence increase hardness and disintegration time of tablets, as well as lowering the fragility of the tablet. While the interaction of starch 1500 and disintegrator has no effect on the physical tablet. The optimum proportion of the combination of starch 1500 and disintegrator meet the physical requirements of tablets with a ratio of 4: 6 with 7.99 kg hardness, the friability of 0.32% and disintegration time of 2.42 minutes

Application of Simplex Lattice Design in Formulation Development of Lozenges Containing Vernonia cinerea Extract for Smoking Cessation

2019 ◽  
Vol 819 ◽  
pp. 227-232
Author(s):  
Chaowalit Monton ◽  
Thanaporn Sangprapai ◽  
Narathip Mekwimonmas ◽  
Tinnapas Sawangsang ◽  
Natawat Chankana ◽  
...  
Keyword(s):  
Milk Powder ◽  
Angle Of Repose ◽  
Formulation Development ◽  
Disintegration Time ◽  
Powder Mixtures ◽  
Lattice Design ◽  
Simplex Lattice Design ◽  
Weight Variation ◽  
Simplex Lattice ◽  
Vernonia Cinerea

The aim of this work was to apply the simplex lattice design in the formulation development of lozenges containing Vernonia cinerea extract. The different ratios of three diluents; milk powder, xylitol, and inulin were investigated. The preformulation parameters of powder mixtures were evaluated. The compressed lozenges were evaluated for their weight variation, thickness, hardness, friability, and disintegration time. Results showed that the ratios of the three diluents affected the preformulation parameters. The angle of repose data revealed that all 12 powder mixtures had excellent flow property. The formulation containing milk powder had the highest values of Carr’s index and Hausner ratio, indicating the poor compressibility. While formulation containing inulin had the best compressibility. A formulation containing xylitol had the lowest moisture content. The compressed lozenges had a weight variation of less than 5%, a diameter of 1.5 mm, a thickness of 5-6 mm, and a hardness of 2-12 kP. The 8 of 12 formulations had friability of less than 1%. Use of milk powder provided the longest disintegration time. The desired properties of developed lozenge achieved when the medium amount of xylitol and inulin and low amount of milk powder were used. The optimal diluent ratio providing the weight variation not more than 5%, the hardness of 5-8 kP, friability not more than 1%, and disintegration time not more than 30 min was an equal weight ratio of milk powder, xylitol, and inulin.

Simulation analysis of the catalytic cracking process of biomass pyrolysis oil with mixed catalysts: Optimization using the simplex lattice design

2018 ◽  
Vol 42 (9) ◽  
pp. 2983-2996 ◽  
Author(s):  
Chawannat Jaroenkhasemmeesuk ◽  
Maria Elena Diego ◽  
Nakorn Tippayawong ◽  
Derek B. Ingham ◽  
Mohammed Pourkashanian
Keyword(s):  
Catalytic Cracking ◽  
Simulation Analysis ◽  
Pyrolysis Oil ◽  
Biomass Pyrolysis ◽  
Lattice Design ◽  
Simplex Lattice Design ◽  
Simplex Lattice ◽  
Cracking Process

Dissolution Enhancement of an Insoluble Drug by Physical Mixture with a Superdisintegrant: Optimization with a Simplex Lattice Design

1996 ◽  
Vol 1 (2) ◽  
pp. 159-164 ◽  
Author(s):  
Franca Ferrari ◽  
Moreno Bertoni ◽  
Cristina M. Bonferoni ◽  
Silvia Rossi ◽  
Carla Caramella ◽  
...  
Keyword(s):  
Physical Mixture ◽  
Dissolution Enhancement ◽  
Lattice Design ◽  
Simplex Lattice Design ◽  
Simplex Lattice
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