THE SELECTION OF THE MOST SUITABLE BASE FOR ANTIFUNGAL SUPPOSITORIES USING HARRINGTON DESIRABILITY FUNCTION

2020 ◽  
Vol 22 (6) ◽  
pp. 74-78
Author(s):  
D.B. Ivanova ◽  
V.G. Salova ◽  
Zh.M. Kozlova
Keyword(s):  
Desirability Function ◽  
Selection Of

scholarly journals Development of nitazoxanide-loaded colon-targeted formulation for intestinal parasitic infections: centre composite design-based optimization and characterization

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Charu Bharti ◽  
Upendra Nagaich ◽  
Jaya Pandey ◽  
Suman Jain ◽  
Neha Jain
Keyword(s):  
Particle Size ◽  
Desirability Function ◽  
In Vitro Release ◽  
Entrapment Efficiency ◽  
In Vitro Drug Release ◽  
Release Studies ◽  
Percentage Yield ◽  
Vitro Release ◽  
Selection Of

Abstract Background The current investigation is focused on the development and characterization of Eudragit S100 coated nitazoxanide-loaded microbeads as colon-targeted system utilizing central composite design (CCD) and desirability function. The study initiated with the selection of a BCS class II drug nitazoxanide and its preformulation screening with excipients, selection of polymer and identification of concentration for CCD, selection of optimized formulation based on desirability function, and in vitro release studies in simulated gastric and colonic media and stability studies. A two-factor, three-level CCD was employed with two independent variables, i.e. X1 (chitosan % w/v) and X2 (sodium tripolyphosphate % w/v), and three dependent variables, i.e. Y1 (particle size in micrometres), Y2 (percentage yield) and Y3 (percent entrapment efficiency), were chosen. Additionally, surface morphology, mucoadhesion and in vitro drug release studies were also conducted. Result Chitosan concentration showing maximum entrapment and optimum particle size was selected to formulate chitosan beads. The polynomial equation and model graphs obtained from the Design-Expert were utilized to examine the effect of independent variables on responses. The effect of formulation composition was found to be significant (p ˂ 0.05). Based on the desirability function, the optimized formulation was found to have 910.14 μm ± 1.03 particle size, 91.84% ± 0.64 percentage yield and 84.75% ± 0.38 entrapment efficiency with a desirability of 0.961. Furthermore, the formulations were characterized for in vitro drug release in simulated colonic media (2% rat caecal content) and have shown a sustained release of ∼ 92% up to 24 h as compared to in vitro release in simulated gastric fluid. Conclusion The possibility of formulation in enhancing percentage yield and entrapment efficiency of nitazoxanide and the utilization of CCD helps to effectively integrate nitazoxanide microbeads into a potential pharmaceutical dosage form for sustained release.

Optimization of turn-milling process in roughing and finishing regimes: Trade-off between productivity, cutting force and surface integrity

2021 ◽  
pp. 095440892199851
Author(s):  
Ebrahim Hosseini ◽  
Shafiqur Rehman ◽  
Ashkan Alimoradi
Keyword(s):  
Cutting Force ◽  
Desirability Function ◽  
Milling Process ◽  
Machining Process ◽  
Hybrid Machining ◽  
Trade Off ◽  
Hybrid Machining Process ◽  
Process Factors ◽  
Turn Milling ◽  
Selection Of

Turn-milling is a hybrid machining process which used benefits of interrupted cutting for proceeding of round bars. However, number of controllable parameters in the hybrid process is numerous that makes optimizing the process complicated. In the present study, an optimization work has been proposed to investigate the trade-off between production rate and cutting force in roughing regime as well surface roughness and tensile residual stress in finishing regime. Number of 43 experiments based on response surface methodology was designed and carried out to gather required data for development of quadratic empirical models. Then, the adequacy and importance of process factors were analyzed using analysis of variances. Finally, desirability function was used to optimize the process in rough and finish machining regimes. The obtained results showed that selection of eccentricity and cutter speed at their maximum working range can effectively enhance the quality characteristics in both the roughing and finishing regimes.

Application of Taguchi Method to Optimization of Cutting Force and Temperature during Turning of Difficult to Cut Materials

2016 ◽  
Vol 686 ◽  
pp. 114-118 ◽  
Author(s):  
Grzegorz Struzikiewicz ◽  
Wojciech Zębala ◽  
Ksenia Rumian
Keyword(s):  
Taguchi Method ◽  
Cutting Force ◽  
Desirability Function ◽  
Optimal Solution ◽  
Regression Function ◽  
Function Optimization ◽  
Close Proximity ◽  
Optimal Setting ◽  
Steel Turning ◽  
Selection Of

The paper presents an analysis of the selection of the regression function in the optimization of steel turning using Taguchi method. The study attempts to investigate cutting force and temperature during turning of steel. Taguchi L16 (4) 2 orthogonal array has been applied for experimental design. S/N ratio and ANOVA analyses were performed to identify significant parameters influencing cutting force and temperature. Mathematical models for both response parameters i.e. cutting force and temperature roughness were obtained through regression analysis. The confirmation experiments carried out at optimal combination of parameters given by Taguchi’s analysis. The optimal solution provided by desirability function optimization was compared with the optimal setting of parameters given by Taguchi analysis. The optimization results provided by both techniques are in close proximity.

Application of Desirability Function Analysis and Utility Concept for Selection of Optimum Cutting Parameters in Turning Operation

2016 ◽  
Vol 15 (01) ◽  
pp. 1-11 ◽  
Author(s):  
B. Singaravel ◽  
T. Selvaraj
Keyword(s):  
Function Analysis ◽  
Removal Rate ◽  
Desirability Function ◽  
Cutting Parameters ◽  
Optimization Method ◽  
Relative Significance ◽  
Utility Concept ◽  
Coated Carbide ◽  
Desirability Function Analysis ◽  
Selection Of

Multi-objective optimization method is used to simultaneously maximize and minimize the various criteria involved in complex industrial problems. In the present work, the optimum combination of cutting parameters is estimated in the turning of EN25 steel with coated carbide tools by performing desirability function analysis and utility concept. The experiments were designed as per L18 Taguchi mixed level orthogonal array with each trial performed under different conditions. These methods are employed for minimization of cutting force, surface roughness and maximization of material removal rate. The optimized results are compared and utility concept gave good combination of input and output parameters. Finally, Analysis of Variance (ANOVA) on overall desirability and utility value was employed to identify the relative significance of factors in terms of their percentage contribution to the responses.

scholarly journals Complex selection of the best collection of chick-peaby method of multi-criterian optimization anh Harrington's reliable function

2019 ◽  
Vol 2019 (1) ◽  
pp. 81-88
Author(s):  
A.E. Titova
Keyword(s):  
Plant Height ◽  
Multicriteria Optimization ◽  
Comparative Evaluation ◽  
Oil Content ◽  
Desirability Function ◽  
Evaluation Criteria ◽  
Optimization Method ◽  
Plant Weight ◽  
Cicer Arietinum L ◽  
Selection Of

A comprehensive selection of the best collection sample of chickpeas by the method of multicriteria optimization and by the Harrington desirability function in seven varieties of chickpeas - Cicer arietinum L., C. Reticulatum Labizinsky., C. Judaicum Boiss., C. Bijugum K.N. Rech., C. Pinnatifidum Jaub., C. chorassinicum (Bge) M. Pop., C. yamashitae Kitam by the comparative evaluation of the alternatives by a set of the indicators of resistance to diseases and pests, the number of beans per plant, the number of grains in the bean, the number of grains per plant, the mass of grains per plant, the weight of 1000 grains, plant height, height of the lower bean, protein and oil content has been made. A set of evaluation criteria has been defined. The analysis of similar criteria at application of a method of multicriteria optimization (geometrical check of criteria) has been used. The importance of selections on a number of the indicators of productivity and adaptability to the environmental conditions for successful selection work in order to improve the economically valuable signs of chickpeas has been analyzed. Key words: complex selection, multicriteria optimization method, Harrington desirability function, plant height, lower bean attachment height, number of beans, number of grains per plant, weight of grain per plant, number of grains in a bean, weight of 1000 grains.

Analysys and Optimization of Exit Burr Size and Surface Roughness in Milling Using Desireability Function

2012 ◽  
Author(s):  
Seyed Ali Niknam ◽  
Rene Kamguem ◽  
Victor Songmene
Keyword(s):  
Surface Roughness ◽  
Desirability Function ◽  
Cutting Parameters ◽  
Burr Formation ◽  
Tool Geometry ◽  
Manufacturing Cost ◽  
Burr Size ◽  
Response Optimization ◽  
Exit Burr ◽  
Selection Of

The burr formation mechanism and surface quality highly depend on machining conditions. Improper selection of cutting parameters may cause tremendous manufacturing cost and low product quality. Proper selection of cutting parameters which simultaneously minimize burr size and surface roughness is therefore very important, as that would reduce the part finishing cost. This article aims to present an experimental study to evaluate parameters affecting the exit burr size (thickness and height) and surface roughness during milling of 6601-T6 aluminum alloy. Desirability function, Di(x), is then proposed for multiple response optimization. Optimum setting levels of process parameters are determined for simultaneous minimization of surface roughness and exit burr thickness and height. It was found that the changes in feed per tooth and tool geometry and coating have significant effects on variation of Di(x).

Application of Box–Behnken Design and Desirability function in the Optimization of Aceclofenac-Loaded Micropsonges for Topical Application

2021 ◽  
pp. 6295-6303
Author(s):  
Anjali Sharma ◽  
Guarve Kumar ◽  
Ranjit Singh
Keyword(s):  
Particle Size ◽  
Desirability Function ◽  
Spherical Shape ◽  
Entrapment Efficiency ◽  
Diffusion Method ◽  
Box Behnken Design ◽  
Diagnostic Plots ◽  
Level 3 ◽  
Selection Of ◽  
Polymer Ratio

Background: The aim of the present investigation was to develop optimized Aceclofenac-loaded microsponges using Box-Behnken design (BBD) and desirability function. Material and Method: Aceclofenac-loaded microsponges were developed using ethyl cellulose, ethanol and polyvinyl alcohol (PVA). Initially, a trial batch was developed using quasi-emulsion solvent diffusion method, and by optimizing the drug-polymer ratio. A 3-level, 3-factor BBD was used to investigate the effect of PVA, ethanol and stirring speed on particle size and entrapment efficiency (EE). The models used for the optimization were analyzed through ANOVA and diagnostic plots. Finally, the desirability function was used for the selection of optimized formulation composition. Results: A drug-polymer ratio of 1.5:1 was taken as optimized ratio for all the formulations. The developed microsponges were of the spherical shape having size and %EE in the range of 22.54±2.85 µm to 49.08±5.01 µm and 70.57±4.19% to 86.43±2.58 %, respectively. The amounts of PVA, ethanol and stirring speed were noted to have a significant impact on particle size and %EE. Finally, an optimized formulation (size-22.69 and %EE-86.42) was developed with a desirability value of 0.9967. Conclusion: The BBD is a valuable tool for the development of optimized microsponges with desired properties.

Application of desirability function based response surface methodology (DRSM) for investigating the plasma arc cutting process of sailhard steel

2018 ◽  
Vol 15 (4) ◽  
pp. 505-512 ◽  
Author(s):  
Deepak Kumar Naik ◽  
Kalipada Maity
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Desirability Function ◽  
Cutting Process ◽  
Plasma Arc ◽  
Content Type ◽  
Plasma Arc Cutting ◽  
Machining Parameter ◽  
Desirability Index ◽  
Selection Of

Purpose Plasma arc cutting (PAC) is extensively applicable for cutting the materials in faster speed with better accuracy in different manufacturing industries. The cutting of sailhard steel plate plays a great challenge in plasma arc cutting process. Design/methodology/approach In this investigation, a special abrasion-resistant steel known as sailhard of 20 mm thickness plate has been cut by PAC machine. Cutting current, stand-off distance, cutting speed and gas pressure were selected as cutting parameters. The corresponding responses focused for this study are material removal rate, kerf and chamfer. L30 orthogonal array based on a central composite design (CCD) of response surface methodology (RSM) was used to design the run of the experiment. For predicting and modeling of optimal cutting conditions, a hybrid approach of desirability function-based response surface methodology (DRSM) was acquainted. Findings The result of this study determines that desirability index (DI) was affected significantly with the machining parameter as well as their interaction. A confirmation test was carried out to analyze the degree of effectiveness of DRSM technique. Originality/value In PAC, the selection of process parameters and effect of that parameter on the output responses is of greater value because of the selection of best cutting condition.

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