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Journal articles on the topic 'Response Surface Methodology (RSM)'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Dube, Vinitkumar Dilipkumar. "Optimization of Biodiesel (MOME) Using Response Surface Methodology (RSM)." International journal of Emerging Trends in Science and Technology 04, no. 11 (2016): 4736–41. http://dx.doi.org/10.18535/ijetst/v3i11.02.

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Zhang, Pei Pei, and Zi Dong Yin. "A New Response Surface Methodology: XU-RSM." Advanced Materials Research 396-398 (November 2011): 126–29. http://dx.doi.org/10.4028/www.scientific.net/amr.396-398.126.

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This paper aims to develop a new Response Surface Methodology (RSM)— XU-RSM— adapted to Reliability-Based Design Optimization (RBDO) based on Diffuse Approximation (DA) and First-Order Reliability Method (FORM). The essential of the new response surface methodology is to use simultaneously the points both in a design space (X-space) and an independent standard normal random space (U-space). Mixing the points allows for more precise local approximation due to denser sampling points and leads to a faster convergence. Finally, a mathematic example is given to show how to use the new method and th

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Hadiyat, Mochammad Arbi, Bertha Maya Sopha, and Budhi Sholeh Wibowo. "Response Surface Methodology Using Observational Data: A Systematic Literature Review." Applied Sciences 12, no. 20 (2022): 10663. http://dx.doi.org/10.3390/app122010663.

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In the response surface methodology (RSM), the designed experiment helps create interfactor orthogonality and interpretable response models for the purpose of process and design optimization. However, along with the development of data-recording technology, observational data have emerged as an alternative to experimental data, and they contain potential information on design/process parameters (as factors) and product characteristics that are useful for RSM analysis. Recent studies in various fields have proposed modifications to the standard RSM procedures to adopt observational data and att

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Chung, Tsair-Wang, and Irwan Saleh Kurniawan. "Analysis of Antioxidant Property from Water Extraction of Garcia Mangostana Using Response Surface Methodology." International Journal of Chemical Engineering and Applications 14, no. 4 (2023): 41–44. http://dx.doi.org/10.18178/ijcea.2023.14.4.804.

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Mangosteen (Garcia mangostana) is an exotic fruit that can be found widely in Southeast Asia. Mangosteen pericarp contains bioactive compound that has pharmacological properties, including antioxidants, anticarcinogenic, and also suggested its applicability for skincare products. Water extraction is more applicable for industry due to simple process, low cost, and neutral reaction. In this study, water extraction on the pericarp of mangosteen was applied and the operating parameters were discussed by using Response Surface Methodology (RSM) for high recovery of antioxidant extract from the man

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Kumar, Rupak, and Meega Reji. "Response surface methodology (RSM): An overview to analyze multivariate data." Indian Journal of Microbiology Research 9, no. 4 (2023): 241–48. http://dx.doi.org/10.18231/j.ijmr.2022.042.

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In recent years, the fascinating range of Response surface methodology (RSM) applications has captured the interest of many researchers and engineers worldwide. RSM is entirely based on well-known regression principles and variance analysis principles that enable the user to improve, develop and optimize the process or product under study. An overview of the theoretical principles of RSM, the experimental strategy and its tools and components, along with the applications and pros and cons, are described in this paper. Some of the widely used experimental designs of RSM compared in terms of its

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Bbumba, Simon, Moses Kigozi, Jackline Nabatanzi, et al. "Response Surface Methodology: A Review on Optimization of Adsorption Studies." Asian Journal of Chemical Sciences 14, no. 6 (2024): 106–13. http://dx.doi.org/10.9734/ajocs/2024/v14i6338.

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Herein, we reviewed response surface methodology (RSM), a powerful statistical tool widely used in optimizing adsorption processes to remove synthetic dyes, toxic heavy metals, and phenols from wastewater. The widely used RSM models during optimization are the central composite design and Box-Behnken, which are second-order polynomial models. The models give a predictive insight into the number of experimental runs to be carried out. Furthermore, an in-depth overview of RSM and its application in optimizing various adsorption parameters, such as adsorbent dosage, initial pollutant concentratio

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Ramu, Penki, Subrat Kumar Rout, and Aditya Kumar Das. "Optimizing bio-bitumen mixes through response surface methodology." Ecocycles 10, no. 1 (2024): 68–83. http://dx.doi.org/10.19040/ecocycles/v10i1.413.

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Bio-bitumen, a sustainable alternative to petroleum-based bitumen, is gaining popularity owing to its environmental advantages and potential to address depleting crude oil sources. The purpose of this study is to use Response Surface Methodology (RSM) to optimise bio-bitumen characteristics for sustainable pavements. Bio-bitumen is produced by combining conventional bitumen with biochar, cashew nutshell liquid, waste engine oil, and phthalic anhydride. This study uses RSM to investigate how these components (biochar, cashew nutshell liquid, waste engine oil, and phthalic anhydride) influence i

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Ramu, Penki, Subrat Kumar Rout, and Aditya Kumar Das. "Optimizing bio-bitumen mixes through response surface methodology." Ecocycles 10, no. 1 (2024): 68–83. http://dx.doi.org/10.19040/ecocycles.v10i1.413.

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Bio-bitumen, a sustainable alternative to petroleum-based bitumen, is gaining popularity owing to its environmental advantages and potential to address depleting crude oil sources. The purpose of this study is to use Response Surface Methodology (RSM) to optimise bio-bitumen characteristics for sustainable pavements. Bio-bitumen is produced by combining conventional bitumen with biochar, cashew nutshell liquid, waste engine oil, and phthalic anhydride. This study uses RSM to investigate how these components (biochar, cashew nutshell liquid, waste engine oil, and phthalic anhydride) influence i

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HARRIS, P. L., S. L. CUPPETT, and L. B. BULLERMAN. "Optimization of Lipase Synthesis by Pseudomonas fluorescens by Response Surface Methodology." Journal of Food Protection 53, no. 6 (1990): 481–83. http://dx.doi.org/10.4315/0362-028x-53.6.481.

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Using response surface methodology (RSM), the optimum environmental conditions of temperature, pH. and aeration for lipase synthesis by Pseudomonas fluorescens were found to be 25°C, 8.07, and 65 rpm, respectively, for 5 d of incubation. Of the three factors, temperature was most influential in affecting extracellular lipase production.

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Ovat, Friday Aje, and Josephat Adie Anyandi. "Response surface methodology and Taguchi method based applications – A Review." Global Journal of Engineering and Technology Advances 5, no. 1 (2020): 053–59. https://doi.org/10.5281/zenodo.4467686.

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Response surface methodology (RSM) is usually applied together with a factorial design to reduce the cost of experimentation and is especially useful when there are more potential factors than money to study a response. It was designed as a tool to have a lot of (partial) answers with as few experiments as possible; to detect factors that influence a response, and whether they interact, as well as finding an optimum treatment within a specific setup. On the other hand, the Taguchi method is a statistical method, also called robust design method, to improve the quality of manufactured goods, an

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Barshikar, R. R., and P. R. Baviskar. "Experimental investigation for fault diagnosis of a single stage worm gearbox using response surface methodology." Nigerian Journal of Technological Development 20, no. 2 (2023): 11–22. http://dx.doi.org/10.4314/njtd.v20i2.1259.

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Gearbox transmission system is a fundamental factor in the industrial applications. If gearbox stop working due to different faults, it may break normal machine operation and cause a production loss. This research paper focused on fault analysis of combination of worm wheel and bearing by using root mean square (RMS) and response surface method (RSM). Faults considered on outer race and inner race of worm wheel bearing, on worm wheel tooth. These faults and load were considered as an important independent factor to understand their effects on RMS response of worm gearbox. Worm gearbox experime

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Kim, Jiyun, Do-Gun Kim, and Kyung Hwan Ryu. "Enhancing Response Surface Methodology through Coefficient Clipping Based on Prior Knowledge." Processes 11, no. 12 (2023): 3392. http://dx.doi.org/10.3390/pr11123392.

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Response surface methodology (RSM) is one of the most effective design of experiments (DoE) methods for analyzing and optimizing experiments with limited data. However, the performance of RSM is highly dependent on the quality of the experimental data (e.g., measurement error and bias). In this work, we introduce a coefficient clipping technique based on prior knowledge to address this problem in RSM. To maintain the simplicity of RSM, the representative prior knowledge of monotonically increasing/decreasing and convex/concave relationships is considered as constraints. The proposed method use

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Chu, Tsu Hsiao, Kuang Hua Fuh, and Wei Ching Yeh. "Experimental Optimization of Deep Drawing Using Response Surface Methodology." Applied Mechanics and Materials 121-126 (October 2011): 1495–99. http://dx.doi.org/10.4028/www.scientific.net/amm.121-126.1495.

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A ultrasonic vibration system with ram motion of two steps is developed to optimize the formability for thin workpiece at the end of forming. The deep drawing force and forming height can be predicted in view of optimizing the values of the working variables involved in the process parameters. A response surface methodology (RSM) based on design of experiments was used in order to minimize the forming force and maximum the forming height during the deep drawing process. Associated plots are shown to be efficient for a quick choice of the optimum values of the forming process parameters.

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Kant, Girish, Vaibhav Rao V, and Kuldip Singh Sangwan. "Predictive Modeling of Turning Operations Using Response Surface Methodology." Applied Mechanics and Materials 307 (February 2013): 170–73. http://dx.doi.org/10.4028/www.scientific.net/amm.307.170.

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This paper focuses on the development of a predictive model using the measured forces acting on the cutting tool during turning operation of AISI 1045 Steel using a Tungsten Carbide cutting tool insert. On the basis of the experimental results, second order mathematical model is developed in terms of machining parameters by using the Response Surface Methodology (RSM). The results are analyzed statistically and graphically. It has been observed that the predicted values using RSM also follow the same trend as given by the measured values.

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Nirosha, D., C. Sashidhar, and K. Narasimhulu. "Prediction of Compressive Strength of Silica Fume Blended High Strength Concrete Using Response Surface Methodology Approach." Indian Journal Of Science And Technology 17, no. 9 (2024): 804–10. http://dx.doi.org/10.17485/ijst/v17i9.45.

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Objectives: In this study, a model was developed to predict the compressive strength of High Strength Concrete (HSC) mixed with silica fume using Response Surface Methodology (RSM). This study investigated the effects of cement, water, Silica Fume (SF), Coarse Aggregate (CA), and silica fume-cement ratio (SF/C) on the 28-day compressive strength of HSC. Silica fume is added with varying amounts of SF (5% to 25%) to cement content. Methods: Response surface methodology (RSM) was performed to investigate the influence of independent variables on the compressive strength of HSC. Findings: Analysi

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Nandakumar, C., and B. Mohan. "Multi-Response Optimization of CNC WEDM Process Parameters for Machining Titanium Alloy Ti 6AI-4V Using Response Surface Methodology (RSM)." Applied Mechanics and Materials 541-542 (March 2014): 354–58. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.354.

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This research deals with the multi-response optimization of CNC WEDM process parameters for machining titanium alloy Ti 6AI-4V using Response Surface Methodology (RSM) to achieve higher Material Removal Rate (MRR) and lower surface roughness (Ra). The process parameters of CNC WEDM namely pulse-on time (TON), pulse-off time (TOFF) and wire feed rate (WF) were optimized to study the responses in terms of material removal rate and surface roughness. The surface plot and the contour plots were generated between the process parameters and the responses using MINITAB software. The results show that

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Achyutha Kumar Reddy, M., V. Ranga Rao, K. Naga Chaitanya, and Veerendrakumar C. Khed. "Optimization of Bentocrete parameters using Response Surface Methodology (RSM)." AIMS Materials Science 8, no. 2 (2021): 221–46. http://dx.doi.org/10.3934/matersci.2021015.

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Azhari, Ayu Wazira, Kamaruzzaman Sopian, Dewi Suriyani Che Halin, Abdul Haqi Ibrahim, and Saleem H. Zaidi. "Response Surface Methodology (RSM) in Fabrication of Nanostructured Silicon." Materials Science Forum 857 (May 2016): 151–55. http://dx.doi.org/10.4028/www.scientific.net/msf.857.151.

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In this paper, a respond surface methodology (RSM) model has been developed using three levels Box-Benkhen experimental design (BBD) technique to study the influence of several metal-assisted chemical etching (MACE) process variables on the properties of nanostructured silicon (Si) wafer. Five process variables are examined i.e. concentrations of silver (Ag), hydrofluoric acid (HF), deposition time, H2O2 concentration and etching time as a function of etching rate. Design-Expert® software (version 7.1) is used in formulating the RSM model of five factors with 46 experiments. A regression quadr

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Manpreet, Singh, Chawla Rekha, Khatkar Sunil Kumar, and Singh Sandeep. "Development of Milk Chocolate Using Response Surface Methodology (RSM)." International Journal of Current Microbiology and Applied Sciences 6, no. 6 (2017): 2881–94. http://dx.doi.org/10.20546/ijcmas.2017.606.341.

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Aktaş, Nahit. "Optimization of biopolymerization rate by response surface methodology (RSM)." Enzyme and Microbial Technology 37, no. 4 (2005): 441–47. http://dx.doi.org/10.1016/j.enzmictec.2005.03.010.

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Nur Raihana Sukri, Nurulakmar Abu Husain, Syarifah Zyurina Nordin, and Aminudin Abu. "Model Updating for Damage Identification: Leveraging Response Surface Methodology and Frequency Response Function Curvature." Journal of Advanced Research in Applied Mechanics 116, no. 1 (2024): 169–82. http://dx.doi.org/10.37934/aram.116.1.169182.

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The limitations of the classical finite element (FE) model updating-based damage identification method, described as having convergence problems and a high computing cost, served as a catalyst for this investigation. Unlike traditional FE models, response surface methodology (RSM) employs explicit mathematical functions to describe the input-response relationship, offering a clear and concise representation. However, the current application of RSM is restricted to a few responses and updating parameters, and unresolved issues persist, including symmetrical damage location and false damage dete

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Nooraziah, Ahmad, and V. Janahiraman Tiagrajah. "A Study on Regression Model Using Response Surface Methodology." Applied Mechanics and Materials 666 (October 2014): 235–39. http://dx.doi.org/10.4028/www.scientific.net/amm.666.235.

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Response Surface Methodology (RSM) mostly employs statistical regression method as it is practical, economical and relatively easy to use. The first and second order polynomial equation was developed using RSM. This polynomial model usually refers as a regression model. In this research, the objective is to find the best response surface method to model three factors and three levels parameters in machining. From the study, the Box-Behnken Design can develop a good regression model rather than Central Composite Design or Full Factorial Design. While, the second order regression model has prove

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Dr., N. Mahesh Kumar, and P. Chinna Rao Mr. "Optimization of EDM Process Parameters using Response Surface Methodology for AISI D3 Steel." International Journal of Trend in Scientific Research and Development 3, no. 3 (2019): 1651–56. https://doi.org/10.31142/ijtsrd23535.

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The present work demonstrates the optimization process of material removal rate MRR of electrical discharge machining EDM by RSM Response Surface Methodology . The work piece material was EN31 tool steel. The pulse on time, pulse off time, pulse current and voltage were the control parameters of EDM. RSM method was used to design the experiment using rotatable central composite design as this is the most widely used experimental design for modeling a second-order response surface. The process has been successfully modeled using response surface methodology RSM and model adequacy checking is al

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Ekpu, M. "Optimisation of a microelectronic assembly package using response surface methodology." Nigerian Journal of Technology 39, no. 4 (2021): 1058–65. http://dx.doi.org/10.4314/njt.v39i4.12.

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This article addressed heat conduction in microelectronics applications. ANSYS finite element design software was used to design the model, while Design Expert software was used for the response surface methodology (RSM) analysis. The components analysed were heat-sink base (HSB) thickness, thermal interface material (TIM) thickness, and chip thickness. A design of experiment comprising of 15 central composite design (CCD) for the coded levels (low (-) and high (+)) of the factors were generated. Heat flow was applied to the chip while a convective coefficient was applied to the heat-sink. The

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Mohamad, Nor Syahirah, and Salmiah Kasolang. "Optimized characterization of response surface methodology on lubricant with titanium oxide nanoparticles." Industrial Lubrication and Tribology 69, no. 3 (2017): 387–92. http://dx.doi.org/10.1108/ilt-09-2016-0214.

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Purpose An optimized model is often deployed to reduce trial and error in experimental approach and obtain the multi-variant correlation. In this study, response surface methodology (RSM), namely, Box–Behnken design (BBD) approach, has been used to optimize the characterization of lubricant with additives. BBD is based on multivariate analysis whereby the effects of different parameters are considered simultaneously. It is a non-linear system which is more representative of the actual phenomenon. This study aims to investigate the effect of three independent variables, namely, speed, load and

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M. S., Ranganath, Vipin ., Nand Kumar, and Rakesh Kumar. "Experimental Analysis of Surface Roughness in CNC Turning of Aluminium Using Response Surface Methodology." International Journal of Advance Research and Innovation 3, no. 1 (2015): 206–12. http://dx.doi.org/10.51976/ijari.311536.

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The main controllable parameters for the CNC turning machines are cutting tool variables, work piece material variables, and cutting conditions. The desired output is surface roughness, material removal rate and tools wear. Optimization of machining parameters needs to determine the most significant parameter for required output. Various techniques are used for optimization of machining parameters including Taguchi, RSM and ANOVA approach to determine most significant parameter. This work presents the findings of an experimental investigation into the effects of cutting speed, feed rate, and d

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Yusoff, Siti Ruqaiyah Mohd, Ain Aqilah Basirun, and Mohd Izuan Effendi Halmi. "Biebrich Scarlet Biodegradation Optimization Using Response Surface Methodology." Journal of Environmental Microbiology and Toxicology 8, no. 1 (2020): 42–49. http://dx.doi.org/10.54987/jemat.v8i1.522.

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The study was carried out to isolate bacterial strain potential for decolourizing the azo- dye Biebrich Scarlet and to optimize the dye decolourisation using Response Surface Methodology (RSM). From azo- dye screening, five isolates were capable of decolourising Biebrich scarlet and out of these, isolate 33 shows the highest decolourisation rate of 4.9x10-6 mgml-1min-1 compared to the other four. Response Surface Method (RSM) which includes Central Composite design (CCD) was employed following a screening procedure as such the Plackett- Burman design to attain optimal condition in order to ach

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Fironus Firdaus, Nurfarisha Ahmad, Mohd Hafizuddin Muhamad, Hassimi Abu Hasan, and Noorhisham Tan Kofli. "Bedak Padat daripada Penapaian Beras Menggunakan Teknik RSM." Jurnal Kejuruteraan 36, no. 6 (2024): 2403–13. http://dx.doi.org/10.17576/jkukm-2024-36(6)-14.

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Cooling powder is a traditional local cosmetic product produced from natural fermentation of rice. This product has been passed down until today due to its beneficial properties and is believed to have a cooling effect on the user. In current market, this product is still being sell in its traditional form which is in the form of powder and beads which are difficult to use. At the same time, there are concerns regarding safety talc-based cosmetics due to its potential contamination with asbestos, a toxic mineral. Therefore, this study is conducted to modernize this increasingly forgotten tradi

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Rastbood, A., Y. Gholipour, and A. Majdi. "Finite Element Based Response Surface Methodology to Optimize Segmental Tunnel Lining." Engineering, Technology & Applied Science Research 7, no. 2 (2017): 1504–14. http://dx.doi.org/10.48084/etasr.1045.

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The main objective of this paper is to optimize the geometrical and engineering characteristics of concrete segments of tunnel lining using Finite Element (FE) based Response Surface Methodology (RSM). Input data for RSM statistical analysis were obtained using FEM. In RSM analysis, thickness (t) and elasticity modulus of concrete segments (E), tunnel height (H), horizontal to vertical stress ratio (K) and position of key segment in tunnel lining ring (θ) were considered as input independent variables. Maximum values of Mises and Tresca stresses and tunnel ring displacement (UMAX) were set as

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Rastbood, A., Y. Gholipour, and A. Majdi. "Finite Element Based Response Surface Methodology to Optimize Segmental Tunnel Lining." Engineering, Technology & Applied Science Research 7, no. 2 (2017): 1504–14. https://doi.org/10.5281/zenodo.571286.

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The main objective of this paper is to optimize the geometrical and engineering characteristics of concrete segments of tunnel lining using Finite Element (FE) based Response Surface Methodology (RSM). Input data for RSM statistical analysis were obtained using FEM. In RSM analysis, thickness (t) and elasticity modulus of concrete segments (E), tunnel height (H), horizontal to vertical stress ratio (K) and position of key segment in tunnel lining ring (θ) were considered as input independent variables. Maximum values of Mises and Tresca stresses and tunnel ring displacement (UMAX) were set as

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Rodrigues, Filipa, Ivana Mendonça, Marisa Faria, et al. "Response Surface Methodology Applied to Cyanobacterial EPS Production: Steps and Statistical Validations." Processes 12, no. 8 (2024): 1733. http://dx.doi.org/10.3390/pr12081733.

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Understanding the impact of variables involved in soluble-extracellular polymeric substance (S-EPS) production processes is crucial for reducing production costs and enhancing sustainability. Response surface methodology (RSM) provides essential tools that assist in developing predicted interactions among process variables for both industrial and non-industrial applications. The present study offers a simple and systematic demonstration of RSM capabilities, focusing on maximizing efficiency and minimizing production costs of S-EPS produced by Cyanocohniella rudolphia. RSM was employed to (1) d

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Nisar, Shafaq, Muhammad Asif Hanif, Umer Rashid, et al. "Synthesis of Water-Soluble Menthol Derivatives Using Response Surface Methodology." Indonesian Journal of Chemistry 24, no. 6 (2024): 1701. https://doi.org/10.22146/ijc.94761.

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In this study, menthol was glycosylated with starch in the presence of α-amylase to produce menthyl maltoside (MenM) as the primary product. Optimization of the experimental parameters, including the menthol-starch ratio, enzyme concentration, temperature, and time, was performed using response surface methodology (RSM). The RSM-generated model displayed adequate accuracy and reasonable predictability for the MenM yield under the specified experimental conditions. Under the optimized reaction conditions of the menthol-to-starch ratio of 1:3 (50 °C, 18 h) and enzyme concentration of 50 U, the h

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Fan, Xiaohu, Xi Wang, and Feng Chen. "Biodiesel Production from Crude Cottonseed Oil: An Optimization Process Using Response Surface Methodology." Open Fuels & Energy Science Journal 4, no. 1 (2011): 1–8. http://dx.doi.org/10.2174/1876973x01104010001.

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Biodiesel, known as fatty acid methyl ester (FAME), was produced from crude cottonseed oil (triglycerides) by transesterification with methanol in the presence of sodium hydroxide. This process was optimized by applying factorial design and response surface methodology (RSM) with SAS and PSIPLOT programs. A second-order mathematical model was obtained to predict the yield as a function of methanol/oil molar ratio, catalyst concentration, reaction temperature, and rate of mixing. Based on ridge max analysis and RSM, as well as economic cost consideration, the practical optimal condition for the

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Ranjeet Rai, R.R. Sahoo, Deepak Kumar, and Harpreet S. Bhatia. "Diesel Engine Performance and Emission Parameters Optimization Using Taguchi and Response Surface Methodology." International Journal of Maritime Engineering 1, no. 1 (2024): 305–14. http://dx.doi.org/10.5750/ijme.v1i1.1362.

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In present study, the ideal engine functioning condition for pollutants as well as functionality was determined using RSM. The L16 Orthogonal Array experiment table was designed using Minitab 16 software with Taguchi's design of experiments methodology with Three variables—fuel type, engine speed, and engine load, each of which was varied across four distinct levels. After a comprehensive model examination, the R2 and modified R2 values are close, indicating a low risk of including unimportant components. The model found that an engine load of 6.85 kgf, an engine speed of 2000 rpm, and the 20%

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Nur, Ahmad Moh, Hairul Huda, and Rif'an Fathoni. "OPTIMALISASI PROSES EKSTRAKSI MINYAK BIJI NYAMPLUNG MENGGUNAKAN RESPONSE SURFACE METHODOLOGY (RSM)." Jurnal Chemurgy 6, no. 2 (2022): 97. http://dx.doi.org/10.30872/cmg.v6i2.9450.

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Nyamplung (Calophyllum inophyllum L.) is a plant with great potential as a fuel source that can be developed in Indonesia. The oil content of nyamplung seeds is 60-75%. This study aims to optimize the process of extracting oil from nyamplung seeds using hexane solvent at various operating conditions and obtain optimum extraction operating conditions. In the process stage, extraction will be carried out using hexane solvent with several operating variations, namely extraction temperature (35-45oC); extraction time (4-6 hours); stirring speed (200-600 rpm), the process of optimizing oil extracti

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Galai, Said, Youssef Touhami, and Med Nejib Marzouki. "Response surface methodology applied to laccases activities exhibited by Stenotrophomonas maltophilia AAP56 in different growth conditions." BioResources 7, no. 1 (2012): 706–26. http://dx.doi.org/10.15376/biores.7.1.706-726.

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Stenotrophomonas maltophilia AAP56, laccase-producing bacteria, growing under different conditions, exhibit laccase activity that is highly affected by some environmental factors. Response surface methodology (RSM) was applied for the determination of laccase factor dependence using two substrates: ABTS (2,2’-azino-bis(3-ethylbenzthiazoline-6-sulfonic acid)) and DMP (2,6 Dimethoxy-phenol). RSM was carried out with a 24 factorial design using four variables, namely, dye (0 to 0.1 mg mL-1), Cu in Med (0 to 400 µM), shaking (0 to 150 rpm), and CuSO4 in assay (0 to 0.2 mM). Significant correlation

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Goemaere, Ilia, Deep Punj, Aranit Harizaj, et al. "Response Surface Methodology to Efficiently Optimize Intracellular Delivery by Photoporation." International Journal of Molecular Sciences 24, no. 4 (2023): 3147. http://dx.doi.org/10.3390/ijms24043147.

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Photoporation is an up-and-coming technology for the gentle and efficient transfection of cells. Inherent to the application of photoporation is the optimization of several process parameters, such as laser fluence and sensitizing particle concentration, which is typically done one factor at a time (OFAT). However, this approach is tedious and runs the risk of missing a global optimum. Therefore, in this study, we explored whether response surface methodology (RSM) would allow for more efficient optimization of the photoporation procedure. As a case study, FITC-dextran molecules of 500 kDa wer

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G, Ramanan, Rajesh Prabha.N, Diju Samuel.G, Jai Aultrin. K. S, and M. Ramachandran. "Prediction of Machining Characteristics of Hybrid Composites Using Response Surface Methodology Approach." International Journal of Engineering & Technology 7, no. 3.1 (2018): 162. http://dx.doi.org/10.14419/ijet.v7i3.1.17078.

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This manuscript presents the influencing parameters of CNC turning conditions to get high removal rate and minimal response of surface roughness in turning of AA7075-TiC-MoS2 composite by response surface method. These composites are particularly suited for applications that require higher strength, dimensional stability and enhanced structural rigidity. Composite materials are engineered materials made from at least two or more constituent materials having different physical or chemical properties. In this work seventeen turning experiments were conducted using response surface methodology. T

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Zaid, Hiba, Zainab Al-sharify, Mohammed Hazwan Hamzah, and Salih Rushdi. "OPTIMIZATION OF DIFFERENT CHEMICAL PROCESSES USING RESPONSE SURFACE METHODOLOGY- A REVIEW." Journal of Engineering and Sustainable Development 26, no. 6 (2022): 1–12. http://dx.doi.org/10.31272/jeasd.26.6.1.

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Several chemical and biological processes have been investigated and predicted using Response Surface Methodology (RSM) models. Response Surfaces Methodology is a useful instrument for designing laboratory-scale experiments that optimize and support the research outcomes with statistical analysis. It is a powerful statistical technique for complex variable study systems. The standard optimization (one component at a time) strategy is well-studied. However, it has significant drawbacks, such as requiring more experimental runs and time and failing to reveal the synergistic impact of processing

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Ebrahimi, Shamsi, Coswald Stephen Sipaut@ Mohd Nasri, and Sazmal Effendi Bin Arshad. "Hydrothermal synthesis of hydroxyapatite powders using Response Surface Methodology (RSM)." PLOS ONE 16, no. 5 (2021): e0251009. http://dx.doi.org/10.1371/journal.pone.0251009.

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Hydroxyapatite (HAp)—[Ca10 (PO4)6(OH) 2] has a similar chemical composition to bone material, making it the main mineral supplement in bone-making. Due to its high biocompatibility, hydroxyapatite is widely used in the repair of bone deficiencies and in the production of dental or orthopedic implants. In this research, hydroxyapatite nanopowder was synthesized using a hydrothermal technique. Fourier Transform Infrared Spectroscopy (FTIR) and transmission electron microscopy (TEM) were used to investigate the chemical structure and morphology of the synthesized hydroxyapatite powder. X-ray diff

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Sudha, G., and V. Ganesh. "Enzymatic Degradation of Polycarbonates: Response Surface Methodology (RSM) Based Approach." Journal of Physics: Conference Series 1979, no. 1 (2021): 012006. http://dx.doi.org/10.1088/1742-6596/1979/1/012006.

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Adnan Abdel-Rahman, Zaid. "Optimization of Sodium Bicarbonate Production Using Response Surface Methodology (RSM)." DJES 11, no. 3 (2018): 22–28. http://dx.doi.org/10.24237/djes.2018.11304.

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The main objective of this study was to evaluate the use of batch bubble column to produce high particle size (>300 micron) of sodium bicarbonate product to improve filtration and drying operations in the production process. Lab scale batch bubble column of 80 mm diameter and 0.5 m height was used to study the process for sodium bicarbonate production using 20% sodium carbonate solution as a starting solution. Three operating variables were considered, CO2 gas content (20-100 %), temperature (30-70 oC) and time (0.5-2.5 h). The bicarbonate yield and crystals size were considered to be the o

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Nirmagusitna, Dwi Eva, Mutia Merry Putri Andini, and Yeni Ria Wulandari. "Optimasi Minyak Daging Buah Pala dengan Response Surface Methodology (RSM)." Jurnal Penelitian Pertanian Terapan 24, no. 2 (2024): 191–200. http://dx.doi.org/10.25181/jppt.v24i2.3428.

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Daging buah pala merupakan bagian terbesar buah pala (77,8%) dan dapat dimanfaatkan untuk menghasilkan minyak daging buah pala. Tujuan penelitian adalah menentukan suhu dan waktu destilasi yang tepat untuk menghasilkan rendemen minyak daging buah pala yang optimal, menetukan variasi suhu dan waktu destilasi berdasarkan Response Surface Methodology (RSM) dengan persentase rendemen minyak daging buah pala yang optimal dan memenuhi SNI minyak pala serta menentukan kandungan senyawa kimia dominan dalam minyak daging buah pala. Penelitian dilakukan dua tahap. Tahap pertama, yaitu optimasi proses de

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Lee, Hyunk-Ok, and A. Montag. "Antioxidative Wirksamkeit von Tocochromanolen – Rangfolgebestimmung mit „Response Surface Methodology (RSM)”." Fett Wissenschaft Technologie/Fat Science Technology 94, no. 6 (1992): 213–17. http://dx.doi.org/10.1002/lipi.19920940605.

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Mulyadi, Abdul Haris, Desti Ekasari, and Yeti Rusmiati Hasanah. "Optimasi Ekstraksi Minyak Biji Pepaya Menggunakan Response Surface Methodology (RSM)." JRST (Jurnal Riset Sains dan Teknologi) 7, no. 2 (2023): 127. http://dx.doi.org/10.30595/jrst.v7i2.15295.

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Saat ini biji buah pepaya masih sangat kurang dalam pemanfaatannya, padahal biji buah pepaya memiliki potensi untuk diambil minyaknya dan akan memberikan keuntungan secara ekonomi. Ekstraksi merupakan salah satu cara untuk mengambil minyak dari biji pepaya. Minyak biji pepaya (PSO) mengandung senyawa fungsional dengan aktivitas antioksidan yang baik, terutama asam lemak tak jenuh tunggal. Minyak biji pepaya mengandung sepuluh asam lemak yang dapat dideteksi, di mana 78,33% di antaranya tidak jenuh. Asam oleat adalah asam lemak dominan, diikuti oleh asam palmitat. Tersirat bahwa asam lemak tak

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Priadi, Gunawan, Fitri Setiyoningrum, Fifi Afiati, Nela Rifda Nur Millatina, Budi Nurtama, and Des Saputro Wibowo. "Optimasi formula yogurt bawang hitam menggunakan response surface methodology (RSM)." Jurnal Litbang Industri 13, no. 1 (2023): 1. http://dx.doi.org/10.24960/jli.v13i1.7863.1-10.

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Na, Xian, and Hu Guohua. "Effects of xanthan gum and corn flour on the quality of sponge cake using response surface methodology." Czech Journal of Food Sciences 36, No. 4 (2018): 344–51. http://dx.doi.org/10.17221/476/2016-cjfs.

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Effects of partial replacement of wheat flour with corn flour (2.93–17.07%) blended with xanthan gum (0.1172–0.6828%) on physical properties, textural and sensory characteristics of sponge cakes were evaluated by response surface methodology (RSM). The significant regression models (P ≤ 0.05) were established to explain the influence of corn flour and xanthan (Xan) on the dependent variables and optimize the formulation. Xanthan significantly increased moisture content, hardness and chewiness, but it decreased specific volume and springiness (P ≤ 0.001). Corn flour had significant positive eff

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Irfan, Muhammad, Sharjeel Waqas, Ushtar Arshad, et al. "Response Surface Methodology and Artificial Neural Network Modelling of Membrane Rotating Biological Contactors for Wastewater Treatment." Materials 15, no. 5 (2022): 1932. http://dx.doi.org/10.3390/ma15051932.

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Membrane fouling is a major hindrance to widespread wastewater treatment applications. This study optimizes operating parameters in membrane rotating biological contactors (MRBC) for maximized membrane fouling through Response Surface Methodology (RSM) and an Artificial Neural Network (ANN). MRBC is an integrated system, embracing membrane filtration and conventional rotating biological contactor in one individual bioreactor. The filtration performance was optimized by exploiting the three parameters of disk rotational speed, membrane-to-disk gap, and organic loading rate. The results showed t

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Pak, Ro Jin. "Combination of importance-performance analysis and response surface methodology for enhancing satisfaction." International Journal of Quality & Reliability Management 33, no. 6 (2016): 792–802. http://dx.doi.org/10.1108/ijqrm-06-2014-0079.

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Purpose – In order to know how to enhance the satisfaction of online courses in preparing for the college entrance examination in Korea, the purpose of this paper is to combine both the importance-performance analysis (IPA) and the response surface methodology (RSM). Design/methodology/approach – IPA is a simple but powerful tool for understanding the current status of factors or attributes in management problems. However, it lacks to provide the proper indication of what to do next on those factors or attributes to optimize a goal. RSM is a statistical tool helping us to set up a direction of

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De Araújo, Rodrigo Rossi, Débora Marcondes Bastos Pereira Milori, Milene Corso Mitsuyuki, Célia Regina Montes, and Adolpho José Melfi. "Laser-Induced Breakdown Spectroscopy Optimization Using Response Surface Methodology." Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics 3, no. 1 (2024): 71–84. http://dx.doi.org/10.55747/bjedis.v3i1.57177.

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Laser-induced breakdown spectroscopy (LIBS) is a modern analytical technique that is capable of fast, multi-elemental, lowcost and environmental friendly analysis, which does not require complex sample preparation. Albeit its potential, LIBS analysis still presents many limitations in terms of sensitivity and reproducibility, especially when analyzing complex matrices such as of sediments and soil samples. In order to reduce these matrix related effects, it is highly recommended that the system temporal parameters, which are responsible for controlling plasma evolution and signal collection, a

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