Wyniki wyszukiwania - Biblioteka Nauki

1

The Treatment of Hospital Wastewater Using Electrocoagulation Process – Analysis by Response Surface Methodology

100%

Salah Al-Shati A. , Alabboodi K. O. , Shamkhi H. A. , Abd Z. N. , Emeen S. I. M.

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2023

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tom Vol. 24, nr 1

260--276

EN

Electrocoagulation (EC) can be defined a method utilized to remove pollutants from wastewater by applying an electric current to sacrificial electrodes. Many experimental variables like NaCl content (0–4 g/l), current density (5–25 mA/cm2), time (30–90 mins), and pH (4–10) that influence the removal efficiency regarding COD were considered. In the presented research, three distinct configurations related to electrodes, i.e. Al-Al, Fe-Al, and Fe-Fe, have been utilized to determine which was the most effective. RSM depending on BBD was utilized for optimizing various operational parameters with regard to HWW by use of EC. Maximum COD removal (97.9%) was reached at Fe-Al electrodes, NaCl (3.2 g/l), current density (24.7 mA/cm2), time (81.7 mins), and pH (7.4). COD removal (91.3%) was achieved at the Al-Al electrodes, NaCl (3.8 g/l), current density(23.5 mA/cm2), time-86.3 min, and Ph (7.7). At the Fe-Fe electrodes, the removal of COD (89.5%) was obtained at NaCl (2.3 g/l), current density (24.6 mA/cm2), pH 8.5, and time (86.9 min). This indicates that EC could remove pollutants from different types of wastewaters under many operating parameters and with arrangements of electrodes.

2

The outline of the expert system for the design of experiment

89%

Dwornicka R. , Pietraszek J.

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tom Vol. 20

43--48

EN

The design of experiment (DoE) is a methodology originated from early 1920s when Fisher’s papers created the analysis of variance and first known experimental designs: latin squares. It is focused on a construction of empirical models based on measurements obtained from specifically structured and driven experiments. Its development resulted in the constitution of four distinctive branches recognized by the industry: factorials (full or fractional), Taguchi’s robust design, Shainin’s Red-X® and a response surface methodology (RSM). On one hand, the well-known success stories of this methodology implementations promise great benefits, while on other hand, the mathematical complexity of mathematical and statistical assumptions very often lead to improper use and wrong inferences. The possible solution to avoid such mistakes is the expert system supporting the design of experiments and subsequently the analysis of obtained data. The authors propose the outline of such system and provides the general analysis of the ontology and related inference rules.

3

An investigation of wire offset and surface morphology of Die Steel D-3 on Wire EDM by using RSM-CCD

89%

Hasan M. F. , Bharti P. K. , Rahim M. R. U.

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tom Vol. 27, Iss. 2

112--118

EN

The work investigated the effect on wire offset and surface morphology, with input process parameters as peak current, pulse on time, wire tension over Die Steel D3. Some of experiments were performed by using response surface methodology (RSM) as the design of experiment with central composite design (CCD) technique for the analysis. The ANOVA results annotate that the model is significant. Wire Tension and peak current are observed to have major impact on wire offset during machining operation and surface morphology. The scanning electron microscope (SEM) images confirmed that the thermal stresses produced during the machining of the workpiece resulted in the development of microcracks, craters and spherical module. Due to higher thermal gradient i.e., higher peak current and pulse on-time larger cracks and melted deposits were observed.

4

Predictive modeling and machining performance optimization during drilling of polymer nanocomposites reinforced by graphene oxide/carbon fiber

89%

Kumar J. , Verma R. K. , Mondal A. K.

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2020

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tom LXVII, nr 2

229--258

EN

This paper explores the parametric appraisal and machining performance optimization during drilling of polymer nanocomposites reinforced by graphene oxide/-carbon fiber. The consequences of drilling parameters like cutting velocity, feed, and weight % of graphene oxide on machining responses, namely surface roughness, thrust force, torque, delamination (In/Out) has been investigated. An integrated approach of a Combined Quality Loss concept, Weighted Principal Component Analysis (WPCA), and Taguchi theory is proposed for the evaluation of drilling efficiency. Response surface methodology was employed for drilling of samples using the titanium aluminum nitride tool. WPCA is used for aggregation of multi-response into a single objective function. Analysis of variance reveals that cutting velocity is the most influential factor trailed by feed and weight % of graphene oxide. The proposed approach predicts the outcomes of the developed model for an optimal set of parameters. It has been validated by a confirmatory test, which shows a satisfactory agreement with the actual data. The lower feed plays a vital role in surface finishing. At lower feed, the development of the defect and cracks are found less with an improved surface finish. The proposed module demonstrates the feasibility of controlling quality and productivity factors.

5

Optimization of Response Surface Methodology for Removal of Cadmium Ions from Wastewater using Low Cost Materials

75%

Mohammed R. A. , Abdulhasan M. J. , Raheem S. A. , Alwared A. I. , Mohammed N. A. , Kadhim R. F. , Al-Bayati A. D. J.

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2023

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tom Vol. 24, nr 8

146--156

EN

This study goal to the ability of using low cost materials representing thermestone and aluminum solid wastes in water filtration by using a pilot plant constructed in wastewater treatment plant to remove cadmium ions (Cd(II)). Response Surface Methodology (RSM) used to optimize the optimal parameters that affecting the performance of filter units, these parameters are time, Cd(II) concentration, and filtration rate. These optimized parameters were 9 hr., 5 ppm, 10 l/hr. with removal efficiency of Cd(II) for A-Filter, T-Filter, S-Filter, and A-T-S-Filter was 94%, 95%, 86.8% and 90%, respectively. The result shows that the T-filter has higher cadmium removal efficiency than A-filter, S-filter and S-T-A- filter. While A-filter has a higher removal efficiency of cadmium than the S-filter and S-T-A- filter. While the S-T-A- filter has higher efficiency than S- filter. The result obtained from RSM was good Agreement with the result of experiments. As a result, the optimized process in this paper can be widely utilized with high removal ratio of Cd(II) ions from wastewater samples.

6

Multiobjective Performance Investigation of CNT Coated HSS Tool Under the Response Surface Methodology Platform

75%

Manivannan C. , Velappan S. , Chenrayan V. , Manivannan C. , Velappan S. , Chenrayan V.

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nr 2

7

Designing Cement Mortars Modified with Cork and Rubber Waste Using Theory of the Experiment

75%

Dębska B. , Krasoń J. , Lichołai L.

Journal of Ecological Engineering

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2019

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tom Vol. 20, nr 9

121--130

EN

The article concerns the possibility of obtaining modified cement mortars and assessing their selected properties, i.e. bending and compressive strength, volume density of hardened mortars and water absorption. The modification consisted in a partial (0–50% vol.) substitution of sand by waste, crushed rubber, and cork. In the mortar design process, the theory of the experiment was used. The central composite design used available in the Statistica software package was response surface. This approach allowed to significantly reduce the number of experiments, reduce costs, and at the same time keep the maximum information about the mortars tested. The conducted research showed that waste materials can be an alternative to natural aggregates in the process of obtaining light mortars.

8

Investigation and Prediction of ECMM characteristics of Hardened Die Steel with Nanoparticle Added Electrolytes Using Hybrid Deep Neural Network

75%

Kanniyappan V. , Tamilperuvalathan S.

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tom Vol. 24, nr 4

7--22

EN

In our work, the process efficiency of the ECMM should be improved by using different combinations of nano-particles and added electrolytes. The superior aim of this work is to improve and predict the ECMM machining characteristics of die hardened steel, namely material removal rate (MRR), Tool wear rate (TWR) and Surface Roughness (Ra). The machining conditions are optimized using Response Surface Methodology (RSM) based on Box Behnken Design. The better Nano electrolyte is optimized using Deer Hunting Optimization (DHO) based on the machined outcomes, and the performances are predicted using a hybrid Deep Neural Network (DNN) based DHO. The hybrid DNN-DHO based predicted outcome of MRR is 0.361 mg/min, TWR is 0.272 mg/min and Ra is 2.511 μm. The validation results show that our proposed DNN-DHO model performed well and obtained above 0.99 regression for both training and validation of DNN-DHO, where the root mean square error ranges between 0.018 and 0.024.

9

Ability of Response Surface Methodology to Optimize Photocatalytic Degradation of Amoxicillin from Aqueous Solutions Using Immobilized TiO2/Sand

75%

Sulaiman F. A. , Alwared A. I.

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tom Vol. 23, nr 5

293--304

EN

The response surface method was applied to optimize operational factors in the solar photocatalytic process on the removal of Amoxicillin (AMOX) residues from aqueous solution using TiO2 immobilized on the sand as a catalyst. The results reveal that the degradation percentage of AMOX is 93.12%, when optimal conditions of pH=5, 75 mg/l of TiO2, 400 mg/l of H2O2, and 10 mg/l of AMOX concentration at 150 min irradiation time were used. Furthermore, the model’s expected response results have reasonable similarity with the actual data (R2 = 93.58%), demonstrating the efficiency of this method in making an accurate prediction. A second-order polynomial multiple regression model was used to evaluate the responses, which confirms that was a satisfactory adjustment with the achieved data through analysis of variance (R2 = 93.58%, R2adj = 91.48% and R2pred =89.68%). In addition, it is observed that the removal of undesirable compounds follows a pseudo-2nd order kinetic model with R2 = 0.9862. In conclusion, with the ease of usage of immobilized TiO2 and good photocatalytic efficiency, the findings showed the potential application to the antibiotics from an aqueous solution.

10

Wpływ przygotowania prób oleju rzepakowego na aktywność przeciwutleniającą

71%

Bartosiak M. , Szydłowska-Czerniak A.

Analityka : nauka i praktyka

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2017

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tom nr 1

32--38

PL

Wyznaczono optymalne parametry przygotowania prób rafinowanego oleju rzepakowego do oznaczania aktywności przeciwutleniającej, wykorzystując centralny plan kompozycyjny.

11

Sustainable production of an iron-eggshell nanocomposite and investigating its catalytic potential for phenol removal

71%

Mohammed N. A. , Saeed L. I. , Mhemid R. K. S.

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tom Vol. 30, nr 3

387--403

EN

The research conducted here will hopefully lead to the creation of a practical, inexpensive method for purging aqueous solutions of contaminating phenolic chemicals. A biosorbent system comprised of eggshells and iron was studied for its potential to effectively detoxify phenol. Both the eggshell and the iron systems were used in the preparation of the adsorbents in order to achieve the desired result of having the properties of both systems. Scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) were used for characterisation. Batch tests were conducted to evaluate the adsorption capacity of eggshells and iron under the influence of different operating parameters (shaking speed, pH, initial phenol content, and contact time). In the design-expert modelling, the optimisation conditions were found to be a pollutant concentration = 30.0 mg . L–1, pH of 3.00, adsorbent dose = 0.11 mg . L–1, shaking speed = 150 rpm, and time = 120 min for an phenol reduction rate of 94.4 % which it was extremely near to the experimentally value (96.6 %). The CCD modelling that was performed in the RSM verified the findings that were predicted. On the basis of laboratory results, the prediction proved accurate.

12

Energy absorption characteristics of thin-walled sinusoidal corrugated tube using RSM-CCD

71%

Rahim M. R. U. , Bharti P. K.

Production Engineering Archives

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2020

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tom Vol. 26, Iss. 4

144--153

EN

The axial crushing behaviour of tubes of different section shapes has been extensively investigated as they have an excellent energy absorption, but the thin walled corrugated tube structures have been designed to further improve their energy absorption performance. The study aims to analyze the effect of sinusoidal corrugations along cross section of the tube on peak force, energy absorption and specific energy absorption. In the present work the response surface methodology (RSM) using central composite design (CCD) has been used and simulation work is performed by using ANSYS workbench to explore the effects of geometrical parameters on the responses of constructing models.

13

Optimization of surface roughness for duplex brass alloy in EDM using response surface methodology

71%

Marichamy S. , Saravanan M. , Ravichandran M. , Stalin B.

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tom Vol. 21, nr 1

57--66

EN

In recent scenario, Duplex brass alloy have drawn many attention of researchers due to the properties such as excellent corrosive resistance, machinability, ductile and easy of fabrication. In present work, the alloy is fabricated by stir casting technique and the machinability was studied during Electric Discharge Machining. In this experiment the control parameters such as current, voltage, pulse on time and flushing pressure were considered to study the effect on Surface roughness (Ra). Response surface methodology (RSM) was used to design the experiment using Box - Behnken design (BBD). An attempt has been made to investigate find out the best optimal parameter for the machining the alloy. The response model has been validated with analysis of variance (ANOVA). Peak current was identified as the significant factor affecting the surface roughness during machining.

14

Optimization of process parameters in turning of magnesium AZ91D alloy for better surface finish using genetic algorithm

71%

Pradeep Kumar M. , Venkatesan R. , Manimurugan M.

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tom no. 43

54--62

EN

This research examined at the optimum cutting parameters for producing minimum surface roughness and maximum Material Removal Rate (MRR) when turning magnesium alloy AZ91D. Cutting speed (m/min), feed (mm/rev), and cut depth (mm) have all been considered in the experimental study. To find the best cutting parameters, Taguchi's technique and Response Surface Methodology (RSM), an evolutionary optimization techniques Genetic Algorithm (GA) and Non-dominated Sorting Genetic Algorithm-II (NSGA-II) were employed. GA gives better results of 34.04% lesser surface roughness and 15.2% higher MRR values when compared with Taguchi method. The most optimal values of surface roughness and MRR is received in multi objective optimization NSGA-II were 0.7341 µm and 9460 mm3/min for the cutting parameters cutting speed at 140.73m/min, feed rate at 0.06mm/min and 0.99mm depth of cut. Multi objective NSGA-II optimization provides several non-dominated points on Pareto Front model that can be utilized as decision making for choice among objectives.

15

Optimization of joining HDPE rods by continuous drive friction welding

63%

Tashkandi M. A. , Becheikh N. M.

Materials Science Poland

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2022

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tom Vol. 40, No. 2

240--256

EN

Continuous drive friction welding (CDFW) is a solid-state joining procedure that can be used to join various similar and dissimilar materials. High-density polyethylene (HDPE) is a thermoplastic that can replace many traditional materials. Utilizing experimental design procedures such as response surface method (RSM) is a reliable approach for determining the most significant process parameters and optimizing the desired responses. The current study employed an RSM experimental design to investigate the effects of the process parameters for welding HDPE rods using CDFW. The design evaluated the process parameters and three outcome responses: the maximum welding temperature, the axial shortening, and the tensile strength (TS). The combination of the three responses can allow achieving high-efficiency welds. The results showed that it was possible to achieve high-efficiency welds while maintaining axial shortening and controlling temperature. A TS >65% of the parent material's strength with an axial shortening of <3 mm was achieved.

16

A Novel Method for Optimizing Parameters influencing the Bearing Capacity of Geosynthetic Reinforced Sand Using RSM, ANN, and Multiobjective Genetic Algorithm

63%

Lafifi B. , Rouaiguia A. , Soltani E. A.

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tom Vol. 45, nr 2

174--196

EN

In this study, a novel method is proposed to optimize the reinforced parameters influencing the bearing capacity of a shallow square foundation resting on sandy soil reinforced with geosynthetic. The parameters to be optimized are reinforcement length (L), the number of reinforcement layers (N), the depth of the topmost layer of geosynthetic (U), and the vertical distance between two reinforcement layers (X). To achieve this objective, 25 laboratory small-scale model tests were conducted on reinforced sand. This laboratory-scale model has used two geosynthetics as reinforcement materials and one sandy soil. Firstly, the effect of reinforcement parameters on the bearing load was investigated using the analysis of variance (ANOVA). Both response surface methodology (RSM) and artificial neural networks (ANN) tools were applied and compared to model bearing capacity. Finally, the multiobjective genetic algorithm (MOGA) coupled with RSM and ANN models was used to solve multi objective optimization problems. The design of bearing capacity is considered a multi-objective optimization problem. In this regard, the two conflicting objectives are the need to maximize bearing capacity and minimize the cost. According to the obtained results, an informed decision regarding the design of the bearing capacity of reinforced sand is reached.

17

Optimization of Injection Moulding Process via Design of Experiment (DOE) Method based on Rice Husk (RH) Reinforced Low Density Polyethylene (LDPE) Composite Properties

63%

Jaya H. , Zulkepli N. N. , Omar M. F. , Abd Rahim S. Z. , Nabiałek M. , Jeż K. , Al Bakri Abdullah M. M.

Archives of Metallurgy and Materials

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2022

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tom Vol. 67, iss. 2

719--727

EN

Optimal parameters setting of injection moulding (IM) machine critically effects productivity, quality, and cost production of end products in manufacturing industries. Previously, trial and error method were the most common method for the production engineers to meet the optimal process injection moulding parameter setting. Inappropriate injection moulding machine parameter settings can lead to poor production and quality of a product. Therefore, this study was purposefully carried out to overcome those uncertainty. This paper presents a statistical technique on the optimization of injection moulding process parameters through central composite design (CCD). In this study, an understanding of the injection moulding process and consequently its optimization is carried out by CCD based on three parameters (melt temperature, packing pressure, and cooling time) which influence the shrinkage and tensile strength of rice husk (RH) reinforced low density polyethylene (LDPE) composites. Statistical results and analysis are used to provide better interpretation of the experiment. The models are form from analysis of variance (ANOVA) method and the model passed the tests for normality and independence assumptions.

18

Application of response surface methodology to improve methane production from jerusalem artichoke straw

63%

Meng Y. , Li Y. , Chen L. , Han R.

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2022

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tom Vol. 48, no. 3

70--79

EN

Anaerobic digestion (AD) converts organic matter and biomass waste into biogas, making it an environmentally friendly technology to improve energy resources for a wide range of applications. Jerusalem artichoke straw (JAS) has an enriched content of cellulose and exhibits a high potential for methane production. AD-based production of methane can eff ectively utilize waste JAS. This study investigated the AD performance of JAS to explore the enhancement of methane yields by employing a Box-Behnken experimental design (BBD) of response surface methodology (RSM). The overall goal was to identify the optimal levels of pretreatment factors, including HCl concentration, pretreatment time, and pretreatment temperature, for producing optimal biomethane yields from JAS. The highest value of methane production achieved was 256.33 mL g-1VS by using an optimal concentration of HCl as 0.25 M, a pretreatment time of 10 h, and a pretreatment temperature of 25°C. These results inform the future application of JAS in enhanced methane production.

19

A new Rectangle Subsections Method (RSM) for the design of a reinforced concrete T-shaped cross-section bridge girders

62%

Kowalski D.

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2022

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tom nr 12

38--41

EN

The aim of this article is to present the new approach to a design of t-shaped beam elements, called a Rectangle Subsections Method (RSM). Its biggest advantage is that the internal forces from the components do not need to be added to obtain the total forces. In case of sagging, the results for RSM and Traditional Design Method (TM) appeared similar. At hogging, the RSM was more conservative - the ratio of the designed to the tested reinforcement area was 3.3 in RSM vs 2.6 in TM.

PL

Celem pracy jest prezentacja nowego podejścia do projektowania przekrojów teowych w elementach belkowych, zwanego Metodą Podprzekrojów Prostokątnych (RSM). Jego główną zaletą jest brak konieczności dodawania sił wewnętrznych z komponentów w celu otrzymania sił wypadkowych. W przypadku momentów dodatnich wyniki RSM i Metody Tradycyjnej (TM) okazały się zbieżne. Przy zginaniu ujemnym RSM była bardziej konserwatywna - stosunek powierzchni zbrojenia zaprojektowanego do badanego wynosił 3,3 w RSM vs 2,6 w TM.

20

Czynniki wpływające na skuteczność zwodów pionowych w przechwytywaniu odgórnych wyładowań piorunowych

51%

Sul P. , Sobolewski K. , Owsiński M.

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2022

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tom R. 90, nr 6

3--10

PL

W artykule przeanalizowano najważniejsze czynniki wpływające na skuteczność zwodów pionowych w przechwytywaniu odgórnych wyładowań atmosferycznych. Określono wpływ m.in.: parametrów lidera skokowego, wytrzymałości dielektrycznej powietrza oraz ukształtowania terenu wokół obiektów naziemnych. Rozważania oparto przede wszystkim na danych uzyskanych z literatury, ale także badań laboratoryjnych i komputerowych badań symulacyjnych.

EN

The article analyzes the most important factors influencing the effectiveness of vertical air terminals in intercepting downward lightning strikes. The impact of, among others, the parameters of the step leader, air dielectric strength and the shape of the terrain around ground objects was examined. The considerations were based primarily on the data obtained from the literature, as well as laboratory tests and computer simulation tests.