Papers by Keyword: Response Surface Methodology (RSM)

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Authors: Mohammad Ahsan Habib, Md Anayet Ullah Patwari, Ahmad Syed Anwar, Sakib Shadman, Oneeruddho Hussain Abir
Abstract: In order to minimize the sound transmission due to exhaust gases, the most common and important part of the engine system is muffler. A back pressure on engine is always produce due to the use of the exhaust muffler. This back pressure represents the extra static pressure exerted by the muffler on the engine through the restriction in flow of exhaust gases. The back pressure mainly depends on the internal shape and overall design of the exhaust muffler. Design of muffler is a complex function that affects noise characteristics, emission and fuel efficiency of engine. In this study, a combine model of response surface methodology (RSM) and desirability analysis is used for optimizing the back pressure of a motorcycle reactive muffler, in order to improve the performance of the muffler. For this optimization process, the design variable parameters are size of perforation, number of perforation and chamber size. To measure the back pressure 3D CFD based CAE software has been used. Prediction of acoustics transmission loss virtually is an important analysis required for the development of muffler at an initial design stage. For this reason, for the optimized design virtual acoustics transmission loss analysis is conducted. It is found that after optimizing the design of the muffler, the back pressure is decreased and the acoustics transmission loss is increased that can ensure the improvement of the muffler efficiency.
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Authors: Li Feng Fan, Ying Gao, Jia Xin Yan, Jian Bin Yun
Abstract: Crimping is widely used in production of large diameter submerged-arc welding pipes. Traditionally, the designers obtain the technical parameters for crimping from experience or trial-errors by experiments. However, it is difficult to obtain the ideal crimping technical parameters with this method immediately at present. To tackle this problem, a new method coupled with response surface methodology and finite element method is proposed to design crimping technical parameters and save the design time of crimping. In this paper, the crimping forming process is simulated by finite element (FE) code ABAQUS. Taking the crimping of X80 steel Φ1219mm×22mm×12000mm welding pipe for instance, the simulation data from the arrangement of simulation which is constituted by the optimal latin hyper-cube sampling approach is treated as sample point. Four types of response surface methodology which included four-order polynomial function, orthogonal polynomial function, kriging and radial basis function is discussed, where the response surface model based on radial basis function is proved more efficient than other types of response surface methodology to construct surrogate model. The results showed a good agreement by a comparison with simulation results and remarkably predicted the crimping quality. Thus, the presented method of this research provides an effective path to design crimping parameters.
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Authors: Wen Ying Shi, Hong Bin Li, Rong Zhou
Abstract: A sulfonated polyethersulfone (SPES)/polyethersulfone (PES) blend catalytic membrane was prepared and used as a heterogeneous catalyst in the esterification of oleic acid with methanol for producing biodiesel. Response surface methodology (RSM) based on central composite design (CCD) was used to optimize the three important reaction variables methanol/oleic acid mass ratio, catalytic membrane loading and reaction time for the esterification by SPES/PES blend catalytic membrane. The optimum condition for the esterification was as follows: methanol/oleic acid mass ratio 1:1, catalytic membrane loading 1.66 meq/g, reaction time 6 h. The optimum predicted fatty acid methyl ester (FAME) yield was 97.44% and the actual value was 98.64%. The above results shows that the RSM study based on CCD is adaptable for FAME yield studied for the current esterification system.
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Authors: Yong Zuo, Feng Qi, Yang Li
Abstract: The study was designed by the method of single factor experiment combining with BBD designing experiment to optimize the best fermentation condition of mulberry wine. Through the experiment the best fermentation condition of mulberry wine was confirmed as follows: The yeast addition was 0.14%, sugar content was adjusted to 194.22 g/L before fermentation, the SO2 addition was 76.70mg/L and the temperature was 25.4°C. The alcohol of mulberry wine was 10.3v/v after fermentation.
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Authors: Ying Cao Xu, Hong You
Abstract: A statistical experimental design to the degradation of aqueous methyl orange, by using the Ti/TiO2 nanotube array photocatalyst, under UV irradiation, was investigated. Concentration of methyl orange(5mg/L,15mg/L,25mg/L), catalytic time (0.5h,1h,1.5h) and UV light source (6w,11w,15w) were selected as major operating variables. To investigate the effects of variables to degradation rate, the statistical experiment of Box-Behnken design(BBD) and Response Surface methodology(RSM) was employed. Regression analysis showed that the experiment data accorded with the predicted values obtained from quadratic regression equation in BBD with R-Squared of 0.9806 and F-value of 39.34.
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Authors: Yazdan Khoshjahan
Abstract: This research consider a project scheduling problem with the object of minimizing weighted earliness-tardiness penalty costs, subject to precedence relations among the activities and resource-constrained. Project activities are assumed to have a known deterministic due date, a unit earliness as well as a unit tardiness penalty cost and constant renewable resource requirements. The objective is to schedule the activities in order to minimize the total weighted earliness–tardiness penalty cost of the project subject to the finish–start precedence constraints and the constant renewable resource availability constraints. With these features the problem becomes highly attractive in just-in-time environments. A genetic algorithm (GA) is proposed to solve this model. In addition design of experiments and response surface methodology are employed to tune the GA parameters and to evaluate the performance of the proposed method in 270 test problems. The results of the performance analysis will be shown at the end of this paper.
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Authors: Fu Chen Ban, Ya Ling Jiang, Xiao Tong Zhao, Xue Han
Abstract: To determine the reactive brilliant orange X-GN by CuO-CeO2/γ-Al2O3 optimum operating conditions.Under oxidizing conditions by CuO-CeO2/γ-Al2O3 that based on Box-Behnken Design,s response surface optimization analysis and establish model.The optimum operating conditions for cell voltage is 17.84V, pH is 7.0 ,concentration of electrolyte dosing is 966mg/L.Under this condition, the decolorization rate up to 95.5%,the impact of various factors on the size of decolorization rate is cell voltage>pH > concentration of electrolyte dosing ;the impact of the interaction between the factors various factors on the size of decolorization rate is cell voltage & pH value> cell voltage & concentration of electrolyte dosing>pH value & concentration of electrolyte dosing .
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Authors: M. Sankar, R. Baskaran, K. Rajkumar, A. Gnanavelbabu
Abstract: In this paper, attempts have been made to model and optimize process parameters in Abrasive assisted Electro-Chemical Machining (AECM) of Aluminium-Boron carbide-Graphite composite using cylindrical copper tool electrodes with SiC abrasive medium. Optimization of process parameters is based on the statistical techniques with four independent input parameters such as voltage, current, reinforcement and feed rate were used to assess the AECM process performance in terms of material removal rate. The obtained results are compared with without abrasive assisted electro chemical machining of Aluminium-Boron carbide-Graphite composite. Abrasive assisted ECM process exhibited higher material removal rate from composite material when compared with without abrasive assisted ECM.
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Authors: Ummi Kalthum Ibrahim, Amira Sofea Mahamad Husin, Ruzitah Mohd Salleh
Abstract: This study investigates the antioxidant activity and total phenolic content on different parts of Garcinia mangostana which are pericarp, leaf, fruit, and seed. 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay was used to determine the antioxidant activity and the total phenolic content was determined by Folin-Ciocalteu method. Response surface method (RSM) was used to determine the effect of the two extraction variables: extraction time (30-120 minutes) and extraction temperature (30-50°C) on yield of total phenolic content and antioxidant activity of different parts of Garcinia mangostana. The significant factors on each experimental design response were identified from the analysis of variance (ANOVA). The best condition for total phenolic content of different parts of Garcinia mangostana was chosen based on the desirability obtained by using extraction temperature of 30°C and extraction time of 60.09 minutes, which resulted in 0.0274 mg GAE/g of total phenolic content in pericarp, 0.2501 mg GAE/g of total phenolic content in leaf, 0.0202 mg GAE/g of total phenolic content in fruit, and 0.0198 mg GAE/g of total phenolic content in seed of Garcinia mangostana. Under this conditions, it was found that the antioxidant activity of pericarp, leaf, fruit, and seed of Garcinia mangostana were 89.45%, 86.58%, 93.33%, and 78.80% of radical scavenging activity, respectively.
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Authors: Ario Sunar Baskoro, Yendri Minggu Bali
Abstract: The development of innovative micro components depends on the manufacturing system and process that reliable to produce the component in micro scale with good quality. In this case, using CO2 Laser is one of microfabrication techniques to fabricate material to get micro component. In this research, experiment was performed to fabricate micropattern using engraving method by Laser CO2 machine with several independent variables such as focus distance of nozzle Laser to workpiece (F), power of Laser (P), and velocity of nozzle Laser movement (V). The workpiece in this research was acrylic. Result of fabrication process will be identified and measured using digital microscope and surface roughness tester to get the value of workpiece quality such as surface roughness and geometrical properties as the dependent variables. The relationship of both variables will be expressed in 3D curves characteristic and mathematical models were analyzed by response surface methodology (RSM). The result of the analysis shows that the power of Laser (P) and velocity of Laser nozzle movement (V) effect is the significant variables affecting the quality of micropattern and micromold fabrications. Micromold can be fabricated using Laser CO2 with roughness value (Rax) is 17,55μm, width of grove (W) is 135 μm, depth (D) is 341 μm.
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