PROCESS OPTIMIZATION OF ECO-FRIENDLY FLAME RETARDANT FINISH FOR COTTON FABRIC: A RESPONSE SURFACE METHODOLOGY APPROACH

2017 ◽  
Vol 24 (08) ◽  
pp. 1750114 ◽  
Author(s):  
SOHAIL YASIN ◽  
MASSIMO CURTI ◽  
NEMESHWAREE BEHARY ◽  
ANNE PERWUELZ ◽  
STEPHANE GIRAUD ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Flame Retardant ◽  
Response Surface ◽  
Cotton Fabric ◽  
Crosslinking Agent ◽  
Statistical Design ◽  
Sodium Hypophosphite ◽  
Regression Equations ◽  
Flame Retardant Properties

The [Formula: see text]-methylol dimethyl phosphono propionamide (MDPA) flame retardant compounds are predominantly used for cotton fabric treatments with trimethylol melamine (TMM) to obtain better crosslinking and enhanced flame retardant properties. Nevertheless, such treatments are associated with a toxic issue of cancer-causing formaldehyde release. An eco-friendly finishing was used to get formaldehyde-free fixation of flame retardant to the cotton fabric. Citric acid as a crosslinking agent along with the sodium hypophosphite as a catalyst in the treatment was utilized. The process parameters of the treatment were enhanced for optimized flame retardant properties, in addition, low mechanical loss to the fabric by response surface methodology using Box–Behnken statistical design experiment methodology was achieved. The effects of concentrations on the fabric’s properties (flame retardancy and mechanical properties) were evaluated. The regression equations for the prediction of concentrations and mechanical properties of the fabric were also obtained for the eco-friendly treatment. The R-squared values of all the responses were above 0.95 for the reagents used, indicating the degree of relationship between the predicted values by the Box–Behnken design and the actual experimental results. It was also found that the concentration parameters (crosslinking reagents and catalysts) in the treatment formulation have a prime role in the overall performance of flame retardant cotton fabrics.

Mechanical Properties of Rubber Mat Compound via Two Factors Modelling Using Response Surface Methodology

2015 ◽  
Vol 761 ◽  
pp. 358-363 ◽  
Author(s):  
Qumrul Ahsan ◽  
Noraiham Mohamad ◽  
Soh Tiak Chuan
Keyword(s):  
Mechanical Properties ◽  
Tensile Strength ◽  
Response Surface Methodology ◽  
Response Surface ◽  
Statistical Design ◽  
Calcined Clay ◽  
Precipitated Silica ◽  
Two Factors ◽  
Rubber Mat ◽  
Full Factorial

Mechanical properties of an industrial based rubber mat compound were optimized via response surface methodology (RSM). Interaction between two factors: accelerators (0.04-3.50 phr) and fillers (0-18.29 phr) were investigated using a full factorial design. The accelerators consisted of a combination of mercaptobenzothiazole disulphide (MBTS) as the primary accelerator, and diphenyl guanidine (DPG) and Zn-2-mercaptobenzo thiazole (ZMBT) as the secondary accelerators. Meanwhile, silane functionalized hybrid precipitated silica/calcined clay (f-PSi/ClCy) was used as the fillers. Regression models for optimum mechanical properties against the accelerator and filler factors were generated by Design Expert software. It was recommended that the level of accelerators and fillers at 1.77 phr and 0.65 phr as the optimum parameter to achieve tensile strength of ~14 MPa and ~2 N/mm, respectively. Further, a comparison between the recommended formulation and the original rubber mat formulation affirmed that the mechanical properties via statistical design were in good agreement with the experimental results with deviations of only + 8.8 % and 0 % for tensile strength and tear strength respectively.

Modeling and Optimization of Durable Press Finishing of Cotton Fabric with BTCA by Response Surface Methodology

2020 ◽  
Vol 7 (4) ◽  
pp. 37-44
Author(s):  
Xudong Chu ◽  
Huaifang Wang ◽  
Shuying Sui ◽  
Ping Zhu ◽  
Qingdao University
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Cotton Fabric ◽  
Breaking Strength ◽  
Retention Rate ◽  
Curing Temperature ◽  
Sodium Hypophosphite ◽  
Significant Variable ◽  
Curing Time ◽  
Durable Press

Durable press (DP) finishing process of cotton fabric with 1,2,3,4-butanetetracarboxylic acid (BTCA) was investigated and optimized using the Box-Behnken design (BBD) with a response surface methodology (RSM). BBD experimental data were fitted to create the response surface regression models describing wrinkle recovery angle (WRA) and breaking strength of the finished cotton fabric. Analysis of variance (ANOVA) revealed that the concentration of BTCA was the most significant variable affecting the WRA, followed by the curing time, curing temperature, and concentration of sodium hypophosphite (SHP). Regarding breaking strength, curing time was the most significant variable, followed by the curing temperature, concentration of BTCA, and concentration of SHP. After optimal treatment, the WRA of the finished fabric was 252°, while the retention rate of breaking strength was 69%.

Experimental study on mechanical properties of polypropylene nanocomposites reinforced with a hybrid graphene/PP-g-MA/kenaf fiber by response surface methodology

2021 ◽  
pp. 009524432110153
Author(s):  
Jaber Mirzaei ◽  
Abdolhossein Fereidoon ◽  
Ahmad Ghasemi-Ghalebahman
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Elastic Modulus ◽  
Response Surface ◽  
Graphene Nanosheets ◽  
Hot Press ◽  
Kenaf Fiber ◽  
Polypropylene Nanocomposites ◽  
Kenaf Fibers ◽  
Internal Mixer

In this study, the mechanical properties of polypropylene (PP)-based nanocomposites reinforced with graphene nanosheets, kenaf fiber, and polypropylene-grafted maleic anhydride (PP-g-MA) were investigated. Response surface methodology (RSM) based on Box–Behnken design (BBD) was used as the experimental design. The blends fabricated in three levels of parameters include 0, 0.75, and 1.5 wt% graphene nanosheets, 0, 7.5, and 15 wt% kenaf fiber, and 0, 3, and 6 wt% PP-g-MA, prepared by an internal mixer and a hot press machine. The fiber length was 5 mm and was being constant for all samples. Tensile, flexural, and impact tests were conducted to determine the blend properties. The purpose of this research is to achieve the highest mechanical properties of the considered nanocomposite blend. The addition of graphene nanosheets to 1 wt% increased the tensile, flexural, and impact strengths by 16%, 24%, and 19%, respectively, and an addition up to 1.5 wt% reduced them. With further addition of graphene nanosheets until 1.5 wt%, the elastic modulus was increased by 70%. Adding the kenaf fiber up to 15 wt% increased the elastic modulus, tensile, flexural, and impact strength by 24%, 84%, 18%, and 11%, respectively. The addition of PP-g-MA has increased the adhesion, dispersion and compatibility of graphene nanosheets and kenaf fibers with matrix. With 6 wt% PP-g-MA, the tensile strength and elastic modulus were increased by 18% and 75%, respectively. The addition of PP-g-MA to 5 wt% increased the flexural and impact strengths by 10% and 5%, respectively. From the entire experimental data, the optimum values for elastic modulus, as well as, tensile, flexural, and impact strengths in the blends were obtained to be 4 GPa, 33.7896 MPa, 57.6306 MPa, and 100.1421 J/m, respectively. Finally, samples were studied by FE-SEM to check the dispersion of graphene nanosheets, PP-g-MA and kenaf fibers in the polymeric matrix.

Optimization of Manufacturing Process of Traditional Algerian Jben Cheese Using Response Surface Methodology (RSM)

2018 ◽  
Vol 8 (1) ◽  
pp. 31-42
Author(s):  
M. Amimour ◽  
T. Idoui ◽  
A. Cheriguene
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Manufacturing Process ◽  
Milk Powder ◽  
Statistical Design ◽  
Polynomial Equation ◽  
Enzymatic Extract ◽  
Traditional Cheese ◽  
Order Polynomial ◽  
Predicted Values

The Aim of this study was to develop an optimized method for manufacturing process of traditional Algerian Jben cheese, using response surface methodology (RSM). In order to develop the objective method of making this traditional cheese, several factors have been studied and a Plackett-Burman statistical design was applied. The effects of the four screened factors (enrichment with milk powder, 10 - 20 g/l; pH of milk, 5.75 - 6.75, enzymatic extract dose, 0.5 - 1.5 ml and coagulation temperature 40 - 60 °C) on the response were investigated, using a Box-Behnken statistical design. Multiple regression analysis was used so that experimental data fits to a second-order polynomial equation. This multiple analysis showed that the model explains about 90.73% of the variation. Based on statistical results, it can be noticed that enrichment with milk powder and pH of milk (Ë‚0.0001***) were highly significant factor influincing cheese yield. The optimal production parame-ters that maximized cheese product (20 g/l enrichment with milk powder, 5.75 pH of milk, 1.29 ml enzymatic extract dose and 60°C coagulation temperature) and the maximal predicted cheese yield (52.68 % ) were found out through response surface methodology. Under these conditions, a verification experiment was carried out and cheese yield was found to be 49.46 %. The overall percentage of agreement for the experimental results (more than 93 % validity) with the predicted values indicates the validation of the statistical model and the success of the optimization process.

The Influence of Amount of Wood Fiber on New Flame-Retardant Melamine-Urea-Formaldehyde (MUF) Composite Foam

2011 ◽  
Vol 393-395 ◽  
pp. 1012-1017 ◽  
Author(s):  
Yu Feng Ma ◽  
Wei Zhang ◽  
Ling Li ◽  
Ming Ming Zhang ◽  
Zeng Hui Cheng ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Flame Retardant ◽  
Cell Shape ◽  
Urea Formaldehyde ◽  
Wood Fiber ◽  
Cell Size Distribution ◽  
Composite Foam ◽  
Composite Foams ◽  
Flame Retardant Properties ◽  
Irregular Cell

New composite foams were prepared by co-foaming of Melamine-Urea-Formaldehyde (MUF) resin and wood fiber in the closed mould at 70°C. The effects of amount of wood fiber on mechanical properties, brittleness, flame-retardant, insulation and microscopic structures of wood fiber-MUF foam were investigated. Results indicated that the flame-retardant properties increased, and the brittleness and mechanical properties decreased with the increase of the amount of wood fiber in composite foams. The addition of wood fiber resulted in more uniform cell size distribution and irregular cell shape, but had little effect on insulation properties.

Optimization of mechanical properties of polypropylene/talc/graphene composites using response surface methodology

2016 ◽  
Vol 53 ◽  
pp. 283-292 ◽  
Author(s):  
Faramarz Ashenai Ghasemi ◽  
Ismail Ghasemi ◽  
Saman Menbari ◽  
Mohsen Ayaz ◽  
Alireza Ashori
Keyword(s):  
Mechanical Properties ◽  
Response Surface Methodology ◽  
Response Surface

scholarly journals Optimization of Coagulation-Flocculation Process of Landfill Leachate by Tin (IV) Chloride Using Response Surface Methodology

2019 ◽  
Vol 6 (1) ◽  
pp. 41-48 ◽  
Author(s):  
Abdul Aziz Hamidi ◽  
Syed Zainal Sharifah Farah Fariza ◽  
Alazaiza Motasem Y.D
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Removal Efficiency ◽  
Landfill Leachate ◽  
Chemical Properties ◽  
Oxygen Demand ◽  
Statistical Design ◽  
Water Infiltration ◽  
Flocculation Process ◽  
Maximum Removal

Landfill leachate is highly polluted and generated as a result of water infiltration through solid waste produced domestically and industrially. This study investigated the applicability of the response surface methodology (RSM) to optimize the removal performances of chemical oxygen demand (COD), color, and suspended solids (SS) from landfill leachate by coagulation process using Tin tetrachloride pentahydrate. The leachate samples were collected from Alor Pongsu Landfill (APLS) in Perak, Malaysia. Before starting the experiments, general characterization was carried out for raw leachate samples to investigate their physical and chemical properties. The effects of the dosage and pH of SnCl4 on the removal performances were evaluated as well. An ideal experimental design was performed based on the central composite design (CCD) by RSM. In addition, this RSM was used to evaluate the effects of process variables and their interaction toward the attainment of their optimum conditions. The statistical design of the experiments and data analysis was resolved using the Design-Expert software. Further, the range of coagulant dosage and pH was selected based on a batch study which was conducted at 13000 mg/L to 17000 mg/L of SnCl4 and pH ranged from 6 to 10. The results showed that the optimum pH and dosage of SnCl4 were 7.17 and 15 g/L, respectively, where the maximum removal efficiency was 67.7% for COD and 100% for color and SS. The results were in agreement with the experimental data with a maximum removal efficiency of 67.84 %, 98.6 %, and 99.3%, for COD, color, and SS, respectively. Overall, this study verified that the RSM method was viable for optimizing the operational condition of the coagulation-flocculation process.

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