scholarly journals Analisis Ketebalan Lapisan pada Pengecatan Baja Karbon Rendah menggunakan Metode Respons Permukaan

2019 ◽  
Vol 13 (2) ◽  
pp. 65
Author(s):  
Hayun Indra Nur Iman ◽  
Mahros Darsin ◽  
Rahma Rei Sakura
Keyword(s):  
Experimental Design ◽  
Measurement Data ◽  
Thickness Gauge ◽  
Liquid Form ◽  
Surface Response ◽  
Average Value ◽  
Surface Response Method ◽  
Painting Process ◽  
Response Method ◽  
Distance Coefficient

The number of vehicles has increased every year. This increase was accompanied by an increase in the number of accidents that occurred. Accidents that occur result in damage to vehicles so that repainting is needed. Painting is an effort made by applying paint in liquid form on the surface of an object to create a layer on the surface of the object. Painting serves to protect and improve the appearance of a surface. The purpose of this study is to determine the effect of a combination of parameters that can produce maximum thickness values. The experimental design used in this study is a surface response method with three parameters where each parameter has three levels. The parameters chosen were spraying distance (110 mm, 130 mm, 150 mm), composition between paint-thinner (1/1.6, 1/1.4, 1/1.2), and pressure (3.5, 4.5, 5.5). The painting process is carried out with the help of a paint test demonstrator. The painting results are dried in the oven and then measured using a thickness gauge. The measurement data is processed using the help of Minitab software and the estimator equation for thickness is obtained. The parameters with the greatest influence in this study are the distance of spraying with a distance coefficient of 2.258. Painting with the highest average value of thickness occurred in the fifteenth experiment with a thickness value of 39.9 micron. The thickness is obtained by variable variations of 130 mm distance, paint-thinner 1/1.4 composition and 4.5 bar pressure.

scholarly journals Extraction optimization of soluble compounds of yerba maté

2002 ◽  
Vol 45 (2) ◽  
pp. 189-193 ◽  
Author(s):  
César Sambiassi ◽  
Andrea M. Escalada ◽  
Miguel E. Schmalko
Keyword(s):  
Experimental Design ◽  
Linear Equation ◽  
Water Soluble ◽  
Extraction Time ◽  
Yerba Mate ◽  
Surface Response ◽  
Extract Concentration ◽  
Extraction Optimization ◽  
Surface Response Method ◽  
Response Method

The objective of this research was the extraction optimization of water soluble compounds of yerba maté. Measures variables were extract concentration and weight of leaves and twigs. Controlled variables were time and temperature of extraction and water/solid relation. A surface response method of three variables was used as experimental design, with 20 experiences in each case. The range of each variable, defined in the experimental design, was: extraction time, 13.2 to 46.8 minutes; temperature, 48.2 to 81.8°C and water solid relation, 4.64 to 11.36 g water/100 g of dry solid. Extract weight varied from 13.14 to 29.56 g in leaves and 8.98 to 16.32 g in twigs (each one per 100 g of dry solid). Extract concentration varied between 2.17 and 3.43 g/100 ml in leaves and between 1.32 and 2.31 g/100 ml in twigs. The results were fit to a linear equation in each case.

scholarly journals Using a surface response method for experimental design to optimize the analysis of taurine in food supplements by capillary electrophoresis

2017 ◽  
Vol 33 (4) ◽  
Author(s):  
Nguyen Manh Huy ◽  
Nguyen Thanh Dam ◽  
Duong Hong Anh ◽  
Pham Hung Viet
Keyword(s):  
Capillary Electrophoresis ◽  
Ph Value ◽  
Milk Powder ◽  
Energy Drink ◽  
Injection Time ◽  
Sample Injection ◽  
Surface Response ◽  
Relative Standard ◽  
Surface Response Method ◽  
Response Method

Abstract: This study focus on using surface response method to optimize the taurine analysis by capillary electrophoresis with contactless conductivity detector. A response surface method (RSM) coupled with a central composite model (CCD) comprising 30 experiments was developed with 4 factors including concentration of Tris buffer, pH value, separating potential and sample injection time. The best set of factor levels for taurine analysis was found as follows: 150 mmol/L of Tris concentration, pH = 8.96, separation voltage of -10 kV, the sample injection time of 60 seconds. The validation of analytical method showed the detection limit for taurine was 0.266mg/L, linearity range from 1 to 500 mg/L, relative standard deviation values ​​for peak areas and migration times were less than 3.16%, the linear correlation coefficient gained 0.999. Recovery efficiency of taurine in several food supplement matrixes such as: fresh milk, milk powder, energy drink were in range from 91.9% to 101.7%.  

scholarly journals Penentuan Kondisi Lingkungan Kerja Fisik yang Optimal Menggunakan Metode Permukaan Respon

2017 ◽  
Vol 1 (1) ◽  
pp. 1 ◽  
Author(s):  
Arta Rusidarma Putra ◽  
Anggar Guritno
Keyword(s):  
Work Environment ◽  
Working Environment ◽  
Surface Response ◽  
Operator Performance ◽  
Optimal Value ◽  
Surface Response Method ◽  
Environment Factor ◽  
Work Environment Factors ◽  
Response Method ◽  
Work Environment Factor

Many consequences caused by the condition of the work environment is not good. This can be caused by noise, lighting and temperature conditions. We need to determine the optimal value of these work environment factors in order to improve operator performance. The correlation between operator performance with work environment factor such as noise, lighting and temperature are found out by develope empirical model to describe relation between operator performance with work environment factor. The model is used to optimize operator performance. This research use surface response method. The experimental design used a central composite design. The research was conducted by experiments in the Laboratory of Analysis of Work Design and Ergonomics of Islamic University of Indonesia Yogyakarta. Variables taken are noise, lighting and temperature. Range for noise is 40 dB to 75 dB, lighting 200 lux to 700 lux, and temperatures between 20ºC to 35ºC. The experiment carried out was the resistor color matching for 5 minutes according to the combination of research variables that have been determined in the surface response method. Output is the number of truths that occur. Using this optimization model, optimal working environment conditions for noise of 60.5 dB, 354.5 lux illumination and temperature of 25.8º.

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