Application of Design-Expert Response Surface Methodology for the Optimization of Recycled Asphalt Mixture with Waste Engine Oil

2021 ◽  
Vol 33 (5) ◽  
pp. 04021075
Author(s):  
Peng Guo ◽  
Zhiguo Cao ◽  
Sixian Chen ◽  
Chen Chen ◽  
Jun Liu ◽  
...  
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Asphalt Mixture ◽  
Engine Oil ◽  
Recycled Asphalt ◽  
Design Expert ◽  
Waste Engine Oil

scholarly journals Assessment of TiO2 Nanoconcentration and Twin Impingement Jet of Heat Transfer Enhancement—A Statistical Approach Using Response Surface Methodology

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 595
Author(s):  
Mahir Faris Abdullah ◽  
Rozli Zulkifli ◽  
Hazim Moria ◽  
Asmaa Soheil Najm ◽  
Zambri Harun ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Heat Transfer Rate ◽  
Transfer Rate ◽  
Tio2 Nanoparticle ◽  
Experimental Results ◽  
Improvement Rate ◽  
Design Expert ◽  
Impingement Jet

Impinging jets are considered to be a well-known technique that offers high local heat transfer rates. No correlation could be established in the literature between the significant parameters and the Nusselt number, and investigation of the interactions between the correlated factors has not been conducted before. An experimental analysis based on the twin impingement jet mechanism was achieved to study the heat transfer rate pertaining to the surface plate. In the current paper, four influential parameters were studied: the spacing between nozzles, velocity, concentration of Nano solution coating and nozzle-plate distance, which are considered to be effective parameters for the thermal conductivity and the heat transfer coefficient of TiO2 nanoparticle, an X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM) analysis were done, which highlighted the structure and showed that the nanosolution coated the surface homogenously. Moreover, a comparison was done for the experimental results with that of the predicted responses generated by the Design Expert software, Version 7 User’s Guide, USA. A response surface methodology (RSM) was employed to improve a mathematical model by accounting for a D-optimal design. In addition, the analysis of variance (ANOVA) was employed for testing the significance of the models. The maximum Nu of 91.47, where H = S = 1 cm; Reynolds number of 17,000, and TiO2 nanoparticle concentration of 0.5% M. The highest improvement rate in Nusselt was about 26%, achieved with TiO2 Nanoparticle, when S = 3 cm, H = 6 cm and TiO2 nanoparticle = 0.5 M. Furthermore, based on the statistical analysis, the expected values were found to be in satisfactory agreement with that of the empirical data, which was conducted by accounting for the proposed models’ excellent predictability. Multivariate approaches are very useful for researchers, as well as for applications in industrial processes, as they lead to increased efficiency and reduced costs, so the presented results of this work could encourage the overall uses of multivariate methods in these fields. Hypotheses: A comparison was done for the predicted responses generated by the Design Expert software with the experimental results and then studied to verify the following hypotheses: ► Preparation of three concentrations of TiO2 nanosolution was done and studied. ► The heat transfer rate could be increased by surface coating with TiO2 nanoparticle. ► The heat transfer could be improved by the impingement jet technique with suitable adjustments.

Optimization of Surface Grinding Process Parameters for Minimum Surface Roughness in AISI 1080 Using Response Surface Methodology

2014 ◽  
Vol 984-985 ◽  
pp. 118-123 ◽  
Author(s):  
S. Periyasamy ◽  
M. Aravind ◽  
D. Vivek ◽  
K.S. Amirthagadeswaran
Keyword(s):  
Surface Roughness ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Process Parameters ◽  
Surface Grinding ◽  
Steel Plates ◽  
Medium Effect ◽  
Depth Of Cut ◽  
Design Expert ◽  
Minimum Surface

In this study, the response surface methodology was used to optimize the process parameters of constant speed horizontal spindle surface grinding. The experiments were conducted based on the design expert software. The surface roughness characteristics were investigated in AISI 1080 steel plates using A60V5V grinding wheels. The optimum parameters for minimum surface roughness were found using Design Expert software. The parameters for a particular surface roughness value can also be determined using the results of this experiment. This results shows that feed has a greater effect on surface roughness and feed has medium effect on surface roughness. While dressing depth of cut has a very minimal effect on surface roughness.

scholarly journals Pengaruh Konsentrasi CaCl2 Dan Alginat Terhadap Karakteristik Analog Bulir Jeruk Dari Alginat

2015 ◽  
Vol 10 (2) ◽  
pp. 163
Author(s):  
Rosmawaty Peranginangin ◽  
Anna Mardiana Handayani ◽  
Dina Fransiska ◽  
Djagal W. Marseno ◽  
Supriyadi Supriyadi
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Software Design ◽  
Design Expert ◽  
Central Composite

Alginat memiliki sifat dapat membentuk gel dengan adanya ion Ca2+, yang dapat dimanfaatkan sebagai bahan dasar pembuatan bulir jeruk analog. Tujuan penelitian ini adalah untuk mendapatkan konsentrasi alginat dan CaCl2 yang optimum dalam pembuatan bulir jeruk analog  dengan menggunakan response surface methodology (RSM) dan mempelajari karakteristik bulir jeruk analog yang dihasilkan. RSM dengan central composite design (CCD) pada software Design Expert 7 (DX 7) digunakan dengan variasi konsentrasi alginat dan konsentrasi CaCl2 sebagai variabel. Parameter yang diamati pada analog bulir jeruk meliputi kekuatan gel, viskositas, sineresis, dan pH. Selain itu juga diamati kadar air, kadar abu, kadar serat, dan uji sensoris (hedonik skala 5). Analog bulir jeruk disimpan dalam larutan sari jeruk  selama 1 bulan dengan pengamatan berat dan warna periode per minggu. Optimasi dilakukan dengan menggunakan program DX 7 (RSM) dan 5 kali ulangan pada bulir jeruk yang dibuat dari alginat 0,8% dan CaCl2 0,5%.  Analog bulir jeruk yang dihasilkan memiliki kekuatan gel 130,29 g/cm2; viskositas larutan 118,6 cPs; sineresis 43,47% dan pH 3,99; sedangkan kadar air 94,05%; kadar abu 0,35%; kadar serat 2,46%. Hasil uji hedonik skala 5 pada analog bulir jeruk  memiliki nilai yaitu mendekati suka untuk tekstur (3,73), suka untuk kenampakan (4) dan antara agak suka hingga suka untuk rasa (3,53). 

scholarly journals Stabilisasi Bekatul Dengan Ekstruder Ulir Ganda Menggunakan Response Surface Methodology

2017 ◽  
Vol 10 (1) ◽  
pp. 27
Author(s):  
Ineke Kusumawaty ◽  
Dedi Fardiaz ◽  
Nuri Andarwulan ◽  
Sri Widowati ◽  
Slamet Budijanto
Keyword(s):  
Response Surface Methodology ◽  
Central Composite Design ◽  
Response Surface ◽  
Design Expert ◽  
Central Composite

Keterbatasan pemanfaatan bekatul dalam pangan disebabkan oleh sifatnya yang mudah tengik sehingga perlu dilakukan stabilisasi. Penelitian ini bertujuan menentukan kondisi optimum stabilisasi bekatul dengan ekstruder ulir ganda tanpa <em>die</em> sebagai bahan bakuekstraksi protein. Optimasi kondisi stabilisasi bekatul dilakukan dengan menggunakan<em> response surface methodology</em> (RSM) dengan <em>central composite design</em> (CCD)dua faktor yaitu X1 (suhu/oC) dan X2 (kecepatan ulir/Hz).Pengolahan data menggunakan program <em>Design Expert 7.0<sup>®</sup></em> yang memberikan model persamaan pengaruh suhu dan kecepatan ulir ekstruder terhadap respon kadar air, kadar protein terlarut, dan aktivitas lipoksigenase. Hasil optimasi memberikan kondisi suhu ekstrusi 130,96oC dan kecepatan ulir 26,65 Hz. Bekatul yang dihasilkan memiliki kadar air 7,02%, kadar protein terlarut 2,04%(bk), aktivitas lipoksigenase 0,007?mol/menit/ml, dan stabilitas oksidatif yanglebih tinggi yaitu 20,00 jam daripada bekatul yang tidak distabilisasi 13,50 jam.

scholarly journals Tinjauan Terhadap Durabilitas Campuran Asphalt Concrete Wearing Course Menggunakan Aspal Tua Dengan Berbagai Bahan Peremaja

2020 ◽  
Vol 6 (2) ◽  
pp. 132
Author(s):  
Ratna Yuniarti ◽  
Desi Widianty ◽  
Rohani Rohani ◽  
Hasyim Hasyim
Keyword(s):  
Epoxy Resin ◽  
Asphalt Concrete ◽  
Water Immersion ◽  
Asphalt Mixture ◽  
Waste Cooking Oil ◽  
Engine Oil ◽  
Environment Impact ◽  
Cooking Oil ◽  
Waste Engine Oil ◽  
Aged Asphalt

Asphalt concrete wearing course is laid on the top of road pavement so that directly exposed to ultra violet light and other environment impact. The higher temperature at the pavement surface and exposure to atmospheric oxygen accelerated aging cause asphalt to stiffen and become brittle. This aging result decrease the binding of asphalt and aggregate leads various damage of pavement. The aged asphalt rejuvenated and recycled with rejuvenating agent has been developed to reduce the use of virgin material for road maintenance. This article aims to review durability of asphalt concrete wearing course using waste cooking oil, epoxy resin, kerosene and waste engine oil as asphalt rejuvenators. Aging asphalt was prepared by heating in an oven at 85 oC for 120 hours (long term oven aging). Durability was assessed from the value of Marshall immersion which represent the resistance of asphalt mixture at water immersion. Relation between Marshall immersion and voids in mix (VIM), voids in the mineral aggregate (VMA), voids filled with bitumen (VFB) and density are also evaluated. From the analysis, it can be concluded that the use of waste cooking oil, epoxy resin, kerosene and waste engine oil as asphalt rejuvenators increase the durability of asphalt mixture containing the aged asphalt.

scholarly journals Optimization of parameters affecting dealcoholization of anthocyanin extract by liquid emulsion membrane using response surface methodology

2021 ◽  
Vol 19 (6) ◽  
pp. 562-574
Author(s):  
Prakash Binnal ◽  
Rajashekhara S. ◽  
Jagadish Patil
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Suitable Model ◽  
Central Composite Rotatable Design ◽  
Design Expert ◽  
Optimum Parameters ◽  
Response Surface Plot ◽  
Surface Plot ◽  
Liquid Emulsion ◽  
Central Composite

Colour is one of most important properties of foods and beverages and is a basis for their identification and acceptability. Anthocyanin from red cabbage was extracted using 50 % ethanol. The extract was dealcoholized by Liquid Emlusion Membrane technology (LEM). Parafin oil was used as a solvent, lecithin was used as a surfactant and water as stripping medium. Response surface methodology (RSM) was used to design the experiments. A total of 30 experiments were conducted in accordance with central composite rotatable design. Design expert 8 was used to design the experiments. % extraction of alcohol in each case was determined. A suitable model was fitted to experimental data by regression analysis (R-square=0.93). Response surface plot were analysed and optimum parameters for dealcoholization were found to be speed=365.44 rpm, time=18.62 min, concentration of lecithin=2.84 %, feed to emulsion ratio=3.05. A maximum dealcoholisation of 18.63 % was observed under these conditions

IMPLEMENTATION OF RESPONSE SURFACE METHODOLOGY TO CREATE AN OPTIMUM BIODIESEL POWER PLANT DERIVED FROM EMPTY FRUIT BUNCHES

2021 ◽  
pp. 1-31
Author(s):  
Somboon Sukpancharoen ◽  
poj hansirisawat ◽  
Thongchai Srinophakun
Keyword(s):  
Carbon Dioxide ◽  
Power Generation ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Carbon Dioxide Emissions ◽  
Power Plants ◽  
Design Expert ◽  
Empty Fruit Bunches ◽  
Optimum Parameters ◽  
Product Separation

Abstract This study examined product separation in biodiesel power plants to optimise the process. Response Surface Methodology (RSM) was used to identify the optimum parameters for the process of separation, to maximise profitability while also reducing carbon dioxide emissions. The mass and energy balance was assessed using Aspen Plus software, while RSM was carried out with Design-Expert software. Development of the characteristic equation determined that the model for gasoline yield, power generation, and carbon dioxide emissions was significant at the 95% confidence level. The R-squared value predicted by the model was found to be 0.97–1.00. In an optimal plant, profit can rise by 3,836 USD over the year, while carbon dioxide emissions decline annually by 17.97 tons.

Optimization of L-Arabinose Hydrolization from Corn Fibers Using Response Surface Methodology

2011 ◽  
Vol 396-398 ◽  
pp. 1662-1666
Author(s):  
Ze Sheng Zhang ◽  
Min Zheng ◽  
Hong Fei Zou
Keyword(s):  
Response Surface Methodology ◽  
Oxalic Acid ◽  
Response Surface ◽  
Reaction Temperature ◽  
Coefficient Of Determination ◽  
Hydrolysis Time ◽  
Design Expert ◽  
Independent Variables ◽  
Significant Regression ◽  
Corn Fibers

The main objective of this study was to optimize the hydrolyzing conditions of L-Arabinose from corn fibers. The response surface methodology was used for the optimization. Independent variables were the concentration of the oxalic acid (2-4%), the hydrolysis time (3.5-4.5h) ,the dosage of the oxalic acid(6-10ml/g,v/w)and the reaction temperature (80-100°C). Significant regression model describing the changes of L-Arabinose yield with respect to hydrolysis parameters were established with the coefficient of determination, R2= 0.9501.Data were analyzed by Design Expert 7.0 and regression analysis. The L-Arabinose yield ranged from 7.53% to 11.46%. The models had significant effects on L-Arabinose yield at P<0.05. Optimum the hydrolysis time, the concentration of the oxalic acid, the dosage of the oxalic acid and the reaction temperature were 3.86h, 3.97%, 6mL/g (v/w) and 100°C, respectively. This combination gave 11.46% L-Arabinose yield.

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