In the last decade,3D printing,especially fused deposition modeling(FDM),has revolutionized manufacturing with intricate designs.Traditional 3-axis FDM printers face challenges with complex geometries,but 5-axis versi...In the last decade,3D printing,especially fused deposition modeling(FDM),has revolutionized manufacturing with intricate designs.Traditional 3-axis FDM printers face challenges with complex geometries,but 5-axis versions offer more design freedom.However,it requires specialized strategies.This research presents a model for 5-axis FDM printers using Bézier curves with an algorithm to enhance print quality.The result shows significant accuracy improvements,especially for curve-based tasks.In addition,this study deepens the understanding of 5-axis FDM technology,setting a solid basis for further research and potentially refining manufacturing methods.展开更多
This study proposes a graphical user interface(GUI) based on an enhanced bacterial foraging optimization(EBFO) to find the optimal locations and sizing parameters of multi-type DFACTS in large-scale distribution syste...This study proposes a graphical user interface(GUI) based on an enhanced bacterial foraging optimization(EBFO) to find the optimal locations and sizing parameters of multi-type DFACTS in large-scale distribution systems.The proposed GUI based toolbox,allows the user to choose between single and multiple DFACTS allocations,followed by the type and number of them to be allocated.The EBFO is then applied to obtain optimal locations and ratings of the single and multiple DFACTS.This is found to be faster and provides more accurate results compared to the usual PSO and BFO.Results obtained with MATLAB/Simulink simulations are compared with PSO,BFO and enhanced BFO.It reveals that enhanced BFO shows quick convergence to reach the desired solution there by yielding superior solution quality.Simulation results concluded that the EBFO based multiple DFACTS allocation using DSSSC,APC and DSTATCOM is preferable to reduce power losses,improve load balancing and enhance voltage deviation index to 70%,38% and 132% respectively and also it can improve loading factor without additional power loss.展开更多
Levulinic acid（LA） has been identified as a promising green,biomass derived platform chemical.Response surface analysis（RSA） with a four-factor-five-level central composite design（CCD） was applied to optimize th...Levulinic acid（LA） has been identified as a promising green,biomass derived platform chemical.Response surface analysis（RSA） with a four-factor-five-level central composite design（CCD） was applied to optimize the hydrolysis conditions for the conversion of bamboo（Phyllostachys Praecox f.preveynalis） shoot shell（BSS） to LA catalyzed with ionic liquid [C4mim]HSO4.The effects of four main reaction parameters including temperature,time,C[C4mim]HSO4（initial [C4mim]HSO4 concentration） and XBSS（initial BSS intake） on the hydrolysis reaction for yield of LA were analyzed.A quadratic equation model for yield of LA was established and fitted to the data with an R2 of 0.9868,and effects of main factors and their corresponding relationships were obtained with RSA.Model validation and results of CCD showed good correspondence between actual and predicted values.The analysis of variance（ANOVA） of the results indicated that the yield of LA in the range studied was significantly（P＆lt;0.05） affected by the four factors.The optimized reaction conditions were as follows：temperature of 145 ℃,time of 103.8 min,C[C4mim]HSO4 of 0.9 mol.L-1 and XBSS of 2.04%（by mass）,respectively.A high yield [（71±0.41）%（by mol）,triplicate experiment] was obtained at the optimum conditions of temperature of 145 ℃,time of 104 min,C[C4mim]HSO4 of 0.9 mol.L-1 and XBSS of 2%（by mass）,which obtained from the real experiments,concurred with the model prediction [73.8%（by mol） based on available C6 sugars in BSS or 17.9%（by mass） based on the mass of BSS],indicating that the model was adequate for the hydrolysis process.展开更多
Bengal gram on germination has high nutritive value in terms of protein, fibre and minerals yet it has very low shelf life at room temperature, hence to enhance the shelf life of germinated Bengal gram, a value added ...Bengal gram on germination has high nutritive value in terms of protein, fibre and minerals yet it has very low shelf life at room temperature, hence to enhance the shelf life of germinated Bengal gram, a value added product can be developed in the form of Pickle with vinegar, oil and salt as preservatives. To optimize the quantity of ingredients to be added, Response Surface Methodology was used. Statistical software Stat-Ease was used for statistical and graphical analysis of the experimental data. It was found that the sensory scores were 7.2, 8.4, 7.8 ＆ 7.7 for color, flavor, texture and overall acceptability corresponding to optimum conditions.展开更多
The response surface methodology （Box-behnken design） was acknowledged for the production of optimized protein enriched pasta. Studied responses （protein, overall acceptability, hue angle and hardness） resulted to...The response surface methodology （Box-behnken design） was acknowledged for the production of optimized protein enriched pasta. Studied responses （protein, overall acceptability, hue angle and hardness） resulted to high protein pasta. The optima were at 12.5%,5 mung bean, 10% whey protein concentrate and 6% egg albumen in combination. Best combination of protein source and their respective level for high protein pasta on the quality evaluation basis were mung bean （15%） ＋ whey protein concentrate （10%）; mung bean （15%） ＋ egg albumen （6%）; mung bean （15%） ＋ whey protein concentrate （10%） ＋ egg albumen （6%）. Hue angle and Hardness remained within acceptable range. Model adequacy was supported with lack of fit test. Enriched protein pasta had excellent cooking and sensory quality during storage period of 4 months. ERH value ranged from 34-36 per cent had supported the results. Rheological properties and good storage behaviour （4 months） had also enhanced the quality of optimized protein enriched pasta. Enriched pasta was rated excellent by 70 per cent of the consumers in mass acceptability trials.展开更多
Response surface methodology (RSM) is used to optimize the medium of Tetraselmis sp.-1 which is cell fused microalgae capable of growing under mixotrophic condition. Empirical models are developed to describe the rela...Response surface methodology (RSM) is used to optimize the medium of Tetraselmis sp.-1 which is cell fused microalgae capable of growing under mixotrophic condition. Empirical models are developed to describe the relationships between the operating variables (glucose, urea, sodium dehydrogenate phosphate, sodium chloride) and responses (cell density). Statistical analysis indicates that glucose and urea have significant effects on the microalgae cell density, but other two factors (sodium dehydrogenate phosphate, sodium chloride) have no obvious effect. The path of steepest ascent is used to approach the optimal region of medium composition. Optimal cell density (2.638 g dry weight/L) was reached when the operating conditions were glucose concentration (30.75 %), urea concentration (0.440 g/L), sodium dehydrogenate phosphate (15 mg/L) and sodium chloride (28 g/L).展开更多
基金supported by the Na-tional Natural Science Foundation of China(Nos.51575266,52075258)。
文摘In the last decade,3D printing,especially fused deposition modeling(FDM),has revolutionized manufacturing with intricate designs.Traditional 3-axis FDM printers face challenges with complex geometries,but 5-axis versions offer more design freedom.However,it requires specialized strategies.This research presents a model for 5-axis FDM printers using Bézier curves with an algorithm to enhance print quality.The result shows significant accuracy improvements,especially for curve-based tasks.In addition,this study deepens the understanding of 5-axis FDM technology,setting a solid basis for further research and potentially refining manufacturing methods.
基金Project supported by Borujerd Branch,Islamic Azad University,Iran
文摘This study proposes a graphical user interface(GUI) based on an enhanced bacterial foraging optimization(EBFO) to find the optimal locations and sizing parameters of multi-type DFACTS in large-scale distribution systems.The proposed GUI based toolbox,allows the user to choose between single and multiple DFACTS allocations,followed by the type and number of them to be allocated.The EBFO is then applied to obtain optimal locations and ratings of the single and multiple DFACTS.This is found to be faster and provides more accurate results compared to the usual PSO and BFO.Results obtained with MATLAB/Simulink simulations are compared with PSO,BFO and enhanced BFO.It reveals that enhanced BFO shows quick convergence to reach the desired solution there by yielding superior solution quality.Simulation results concluded that the EBFO based multiple DFACTS allocation using DSSSC,APC and DSTATCOM is preferable to reduce power losses,improve load balancing and enhance voltage deviation index to 70%,38% and 132% respectively and also it can improve loading factor without additional power loss.
基金Supported by the National Natural Science Foundation of China（30940058,31170672）the Natural Science Foundation of Zhejiang Province of China（Y3110025）+1 种基金Key Laboratory for Physical Processing of Agricultural Products（JAPP2010-4）Key Laboratory of Exploitation and Preservation of Coastal Bio-resource（2010F30003）
文摘Levulinic acid（LA） has been identified as a promising green,biomass derived platform chemical.Response surface analysis（RSA） with a four-factor-five-level central composite design（CCD） was applied to optimize the hydrolysis conditions for the conversion of bamboo（Phyllostachys Praecox f.preveynalis） shoot shell（BSS） to LA catalyzed with ionic liquid [C4mim]HSO4.The effects of four main reaction parameters including temperature,time,C[C4mim]HSO4（initial [C4mim]HSO4 concentration） and XBSS（initial BSS intake） on the hydrolysis reaction for yield of LA were analyzed.A quadratic equation model for yield of LA was established and fitted to the data with an R2 of 0.9868,and effects of main factors and their corresponding relationships were obtained with RSA.Model validation and results of CCD showed good correspondence between actual and predicted values.The analysis of variance（ANOVA） of the results indicated that the yield of LA in the range studied was significantly（P＆lt;0.05） affected by the four factors.The optimized reaction conditions were as follows：temperature of 145 ℃,time of 103.8 min,C[C4mim]HSO4 of 0.9 mol.L-1 and XBSS of 2.04%（by mass）,respectively.A high yield [（71±0.41）%（by mol）,triplicate experiment] was obtained at the optimum conditions of temperature of 145 ℃,time of 104 min,C[C4mim]HSO4 of 0.9 mol.L-1 and XBSS of 2%（by mass）,which obtained from the real experiments,concurred with the model prediction [73.8%（by mol） based on available C6 sugars in BSS or 17.9%（by mass） based on the mass of BSS],indicating that the model was adequate for the hydrolysis process.
文摘Bengal gram on germination has high nutritive value in terms of protein, fibre and minerals yet it has very low shelf life at room temperature, hence to enhance the shelf life of germinated Bengal gram, a value added product can be developed in the form of Pickle with vinegar, oil and salt as preservatives. To optimize the quantity of ingredients to be added, Response Surface Methodology was used. Statistical software Stat-Ease was used for statistical and graphical analysis of the experimental data. It was found that the sensory scores were 7.2, 8.4, 7.8 ＆ 7.7 for color, flavor, texture and overall acceptability corresponding to optimum conditions.
文摘The response surface methodology （Box-behnken design） was acknowledged for the production of optimized protein enriched pasta. Studied responses （protein, overall acceptability, hue angle and hardness） resulted to high protein pasta. The optima were at 12.5%,5 mung bean, 10% whey protein concentrate and 6% egg albumen in combination. Best combination of protein source and their respective level for high protein pasta on the quality evaluation basis were mung bean （15%） ＋ whey protein concentrate （10%）; mung bean （15%） ＋ egg albumen （6%）; mung bean （15%） ＋ whey protein concentrate （10%） ＋ egg albumen （6%）. Hue angle and Hardness remained within acceptable range. Model adequacy was supported with lack of fit test. Enriched protein pasta had excellent cooking and sensory quality during storage period of 4 months. ERH value ranged from 34-36 per cent had supported the results. Rheological properties and good storage behaviour （4 months） had also enhanced the quality of optimized protein enriched pasta. Enriched pasta was rated excellent by 70 per cent of the consumers in mass acceptability trials.
文摘Response surface methodology (RSM) is used to optimize the medium of Tetraselmis sp.-1 which is cell fused microalgae capable of growing under mixotrophic condition. Empirical models are developed to describe the relationships between the operating variables (glucose, urea, sodium dehydrogenate phosphate, sodium chloride) and responses (cell density). Statistical analysis indicates that glucose and urea have significant effects on the microalgae cell density, but other two factors (sodium dehydrogenate phosphate, sodium chloride) have no obvious effect. The path of steepest ascent is used to approach the optimal region of medium composition. Optimal cell density (2.638 g dry weight/L) was reached when the operating conditions were glucose concentration (30.75 %), urea concentration (0.440 g/L), sodium dehydrogenate phosphate (15 mg/L) and sodium chloride (28 g/L).
