scholarly journals Optimization of sorting efficiency of size grading machine using oscillating sieve with swing along width direction

2019 ◽  
Vol 293 ◽  
pp. 04003
Author(s):  
Thatchapol Chungcharoen ◽  
Warunee Limmun ◽  
Watcharapong Chanpaka ◽  
Naruebodee Srisang
Keyword(s):  
Quadratic Model ◽  
Optimum Operating ◽  
Coffee Bean ◽  
Width Direction ◽  
Sorting Efficiency ◽  
Inclined Angle ◽  
Green Coffee Bean ◽  
Central Composite ◽  
Size Grading ◽  
Good Agreement

Grading according to the sizes is an important value adding technique for Robusta green coffee bean. Mechanical grading can increase the sorting efficiency and the need for workers is decreased. Therefore, the sorting efficiency of size grading machine was optimized based on inclined angle and oscillating speed. The Response Surface Methodology (RSM) combined with central composite design (CCD) was applied in the optimization of the sorting efficiency of the machine. A quadratic model was suggested for the sorting efficiency of size grading machine. The results showed that the optimum operating parameters for size grading machine using oscillating sieve with swing along width direction were inclined angle of 5.06 degree and oscillating speed of 183.28 rpm with a sorting efficiency of 79.99%. The high correlation coefficient (R2 = 0.9676) indicated that the data predicted using RSM were in good agreement with the experimental results.

scholarly journals Optimization of Bi2O3, TiO2, and Sb2O3Doped ZnO-Based Low-Voltage Varistor Ceramic to Maximize Nonlinear Electrical Properties

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Masoumeh Dorraj ◽  
Azmi Zakaria ◽  
Yadollah Abdollahi ◽  
Mansor Hashim ◽  
Seyedehmaryam Moosavi
Keyword(s):  
Low Voltage ◽  
Quadratic Model ◽  
Molar Ratio ◽  
Sintering Process ◽  
Spinel Type ◽  
Factors Affecting ◽  
Milling Method ◽  
Level 3 ◽  
Central Composite ◽  
Good Agreement

In ZnO-based low voltage varistor, the two essential features of microstructure determining its nonlinear response are the formation Bi-enriched active grain boundaries as well as a controlled ZnO grain size by secondary spinel-type phases. Besides, the microstructure and phase composition are strongly affected by the dopant concentration during sintering process. In this study, the optimal dopant levels of Bi2O3, TiO2, and Sb2O3to achieve maximized nonlinear electrical property (alpha) were quantified by the response surface methodology (RSM). RSM was also used to understand the significance and interaction of the factors affecting the response. Variables were determined as the molar ratio of Bi2O3, TiO2, and Sb2O3. The alpha was chosen as response in the study. The 5-level-3-factor central composite design, with 20 runs, was used to conduct the experiments by ball milling method. A quadratic model was established as a functional relationship between three independent variables and alpha. According to the results, the optimum values of Bi2O3, TiO2, and Sb2O3were obtained 0.52, 0.50, and 0.30, respectively. Under optimal conditions the predicted alpha (9.47) was calculated using optimal coded values from the model and the theoretical value is in good agreement with the value (9.43) obtained by confirmation experiment.

scholarly journals Adaptive Shell Spherical Reflector Actuated with PVDF-TrFE Thin Film Strain Actuators

Actuators ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 7
Author(s):  
Kainan Wang ◽  
Thomas Godfroid ◽  
Damien Robert ◽  
André Preumont
Keyword(s):  
Thin Film ◽  
Active Material ◽  
Quadratic Model ◽  
Influence Functions ◽  
Regularization Technique ◽  
Thin Polymer ◽  
Optical Modes ◽  
Electrostrictive Material ◽  
Ill Conditioning ◽  
Good Agreement

This paper discusses the design and manufacturing of a thin polymer spherical adaptive reflector of diameter D=200 mm, controlled by an array of 25 independent electrodes arranged in a keystone configuration actuating a thin film of PVDF-TrFE in d31-mode. The 5 μm layer of electrostrictive material is spray-coated. The results of the present study confirm that the active material can be modelled by a unidirectional quadratic model and that excellent properties can be achieved if the material is properly annealed. The experimental influence functions of the control electrodes are determined by a quasi-static harmonic technique; they are in good agreement with the numerical simulations and their better circular symmetry indicates a clear improvement in the manufacturing process, as compared to a previous study. The low order optical modes can be reconstructed by combining the 25 influence functions; a regularization technique is used to alleviate the ill-conditioning of the Jacobian and allow to approximate the optical modes with reasonable voltages.

Kinetics and Equilibrium of Radioactive Metal Adsorption onto Sugarcane Bagasse Waste: Comparison of Batch and Column Adsorption Modes

2021 ◽  
Vol 235 (3) ◽  
pp. 281-294
Author(s):  
Abida Kausar ◽  
Haq Nawaz Bhatti ◽  
Munawar Iqbal
Keyword(s):  
Sugarcane Bagasse ◽  
Flow Rate ◽  
Breakthrough Curves ◽  
Quadratic Model ◽  
Waste Biomass ◽  
Initial Concentration ◽  
Bed Height ◽  
Column Adsorption ◽  
Central Composite ◽  
Bagasse Waste

Abstract Sugarcane bagasse waste biomass (SBWB) efficacy for the adsorption of Zr(IV) was investigated in batch and column modes. The process variables i.e. pH 1–4 (A), adsorbent dosage 0.0–0.3 g (B), and Zr(IV) ions initial concentration 25–200 mg/L (C) were studied. The experiments were run under central composite design (CCD) and data was analysed by response surface methodology (RSM) methodology. The factor A, B, C, AB interaction and square factor A2, C2 affected the Zr(IV) ions adsorption onto SBWB. The quadratic model fitted well to the adsorption data with high R2 values. The effect of bed height, flow rate and Zr(IV) ions initial concentration was also studied for column mode adsorption and efficiency was evaluated by breakthrough curves as well as Bed Depth Service and Thomas models. Bed height and Zr(IV) ions initial concentration enhanced the adsorption of capacity of Zr(IV) ions, whereas flow rate reduced the column efficiency.

scholarly journals Optimization of Supercritical Extraction Conditions of Senna Alata and Evaluation of Biological Activity

2018 ◽  
Vol 7 (3.11) ◽  
pp. 94
Author(s):  
Istikamah Subuki ◽  
Aiman Nabilah Abdul Malek ◽  
Saidatul Husni Saidin ◽  
Mazura Md. Pisar
Keyword(s):  
Crude Extract ◽  
Extraction Process ◽  
Quadratic Model ◽  
Total Flavonoids ◽  
Inhibition Activity ◽  
Backward Elimination ◽  
Total Flavonoids Content ◽  
Senna Alata ◽  
Central Composite ◽  
Experimental Runs

Supercritical fluid extraction (SFE) offer faster extraction process, decreased solvent usage and more selectivity on desired compounds. In this present study, the influence of pressure (100, 200 and 300 bar) and temperature (40, 50 and 60˚C) on the Senna alata crude yield were investigated with fixed supercritical carbon dioxide (SC-CO2) at the flow rate of 35 g/min. The parameters were optimised and modelled using response surface methodology (RSM) and central composite design (CCD). The analysis of variance (ANOVA) experimental design consists of 13 experimental runs with 5 replicates at the central points. Well-fitting quadratic model were successfully established for crude extract through backward elimination. The optimum crude extract yield pointed out by RSM was at the pressure of 300 bar and temperature 40˚C respectively. Extraction yields based on SC-CO2 varied in the range of 0.28 to 3.62%. The highest hyaluronidase inhibition activity and total flavonoids content obtained by S.alata crude extracts were 41.19% and 52.53% w/w, respectively. SC-CO2 proves to have great potential for extraction of yield, hyaluronidase inhibition activity and total flavonoids content for S.alata.  

Chlorogenic Acid: An Allergen in Green Coffee Bean

Nature ◽  
1961 ◽  
Vol 192 (4799) ◽  
pp. 241-243 ◽  
Author(s):  
S. O. FREEDMAN ◽  
J. KRUPEY ◽  
A. H. SEHON
Keyword(s):  
Chlorogenic Acid ◽  
Coffee Bean ◽  
Green Coffee ◽  
Green Coffee Bean

scholarly journals Phytochemical screening and HPLC- UV method quantiϐication of Flavonoids in Coffee Arabica green seeds

2020 ◽  
Vol 11 (SPL4) ◽  
pp. 1895-1904
Author(s):  
Bothiraj K V ◽  
Kalaivani P ◽  
Murugan K ◽  
Vanitha V
Keyword(s):  
Radical Scavenging Activity ◽  
Radical Scavenging ◽  
Biologically Active ◽  
Coffee Bean ◽  
Green Coffee ◽  
High Concentration ◽  
Antimitotic Activity ◽  
Wide Range ◽  
Anti Inflammatory ◽  
Green Coffee Bean

The green coffee bean is the most commonly used beverages in India and it is one of the most commercialised food products. They have a rich source of biologically active compounds that are important for human health. The coffee tree or a shrub belongs to the family Rubiaceae. Commercially available, two species of green coffee bean are Coffea Arabica and Coffea canephora. Cancer is the most important cause of death. Apart from cancer, quercetin can also prevent Osteoporosis. The phytochemicals present in the green coffee bean can be used as an alternate therapy for cancer due to its antimitotic activity and free radical scavenging activity. Total antioxidant shows IC50 value 45.81. Kaempferol is a potent antioxidant that can defence against free radicals and cure chronic diseases. Flavonoids are phenolic substances that act as an antioxidant, anti-inflammatory, anti-allergenic, antiviral and also have vasodilating actions. Green coffee bean shows a high concentration of Flavonoids in hydroethanolic extraction. The aim of this study is used to analyse the presence of Flavonoids in green coffee bean by using High-performance Liquid Chromatography (HPLC). Flavonoids are potent antioxidant that can bind to a protein. Flavonoids show a wide range of biological and pharmacological activities like anti-allergic, anti-inflammatory, anti-cancer and anti-microbial activity.

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