scholarly journals The Design of Glass Fiber//Epoxy Composite Pipes by the Implementation of the Full Factorial Experimental Design

2016 ◽  
Vol 12 (3-4) ◽  
Author(s):  
Biljana Pop Metodieva ◽  
Sara Srebrenkoska ◽  
Vineta Srebrenkoska

In the present work, the attempt was made to assess the applicability of the full factorial experimental design in predicting the hoop tensile strength of glass fiber/ epoxy resin composite pipes by using of a split disk specimens. Split disk tension tests, provide reasonably accurate information with regard to the apparent tensile strength of composite pipe.In the study we used a number of composite pipes with different fiber orientation, fiber tension and velocity of the winding. The composite pipes were made by using of filament winding technology includes winding of resin impregnated fibers into a tool and hardening of the wound structure. The preparation of the composite experimental samples was conducted in accordance with the 23 full factorial experimental design. The winding speed of the composites was taken to be the first factor, the second was the fiber tension and the third winding angle. The first factor low and high levels were set at 5,21 m/min and 21 m/min, respec­tively, for the second factor – at 64N and 110N, respectively, and for the third factor – at 100 and 900. To approxi­mate the response i.e. the hoop tensile strength of the composite pipes within the study domain (5,25 – 21) m/min x (64-110)N x (10 – 90)0, the first order linear model with the interaction was used. The influence of each individual factor to the response function was established, as well as the influence of the interaction of the two and three factors. We found out that the estimated first-degree regression equation with the interaction gave a very good approximation of the experimental results of the hoop tensile strength of composites within the study domain.

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Nurdan Gamze Turan ◽  
Okan Ozgonenel

Clinoptilolite was investigated for the removal of Cu(II) ions from industrial leachate. Adaptive neural fuzzy interface system (ANFIS) was used for modeling the batch experimental system and predicting the optimal input values, that is, initial pH, adsorbent dosage, and contact time. Experiments were studied under laboratory batch and fixed bed conditions. The outcomes of suggested ANFIS modeling were then compared to a full factorial experimental design (23), which was utilized to assess the effect of three factors on the adsorption of Cu(II) ions in aqueous leachate of industrial waste. It was observed that the optimized parameters are almost close to each other. The highest removal efficiency was found as about 93.65% at pH 6, adsorbent dosage 11.4 g/L, and contact time 33 min for batch conditions of 23experimental design and about 90.43% at pH 5, adsorbent dosage 15 g/L and contact time 35 min for batch conditions of ANFIS. The results show that clinoptilolite is an efficient sorbent and ANFIS, which is easy to implement and is able to model the batch experimental system.


2017 ◽  
Vol 48 (3) ◽  
pp. 580-598 ◽  
Author(s):  
Hande Sezgin ◽  
Omer B Berkalp

In this study, the effect of some fabric reinforcement parameters (fabric direction, yarn type and stacking sequence) on the mechanical properties of textile based hybrid composites are analysed by using full factorial experimental design method. The analysis of the results is achieved by using Minitab 17 software program. One factor (fabric reinforcement direction) with two levels (warp direction and weft direction) and two factors (yarn type and stacking sequence) with three levels (jute/glass, jute/carbon, glass/carbon and consecutive, low strength inside, high strength inside) are selected as the reinforcement design. Full factorial experimental design analysis results indicate that, the highest tensile and impact strength values among the experimental design are realised when samples are taken from the warp direction and E-glass/carbon combination is chosen as the yarn (material) type. Moreover, it is verified that while higher tensile strength is achieved by placing higher strength fabrics to the inner layers, higher impact strength is achieved by placing high strength fabrics to the outer layers of hybrid composite structures. Analysis of variance tables also show that at 95% confidence level, the effects of the factors are statistically significant ( p < 0.05).


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