scholarly journals ANALISA EKSPERIMENTAL MODULUS ELASTISITAS BAHAN KOMPOSIT GLASS FIBER REINFORCED PLASTIC (GFRP) BERDASARKAN VARIASI DIAMETER SERAT AKIBAT BEBAN IMPAK LAJU REGANGAN TINGGI

Author(s):  
Sarman Sarman

<span class="longtext"><em><span>GFRP composite is one of the alternative materials that the most common as a replacement for metal. This material has a light weight, easy to shape, good strength, and the production cost is relatively cheaper. This study aims to investigate the effects of fiber diameter variation of mechanical behavior, particularly on the load of high strain rate impact. The application of impulse momentum theory in the elastic region is the basic science for this case. The AGC apparatus is equipment that used for this test because it could generate the high strain wave rate in the single direction loading. Specimen is placed in the position of tight end against the end of the input bar. The results showed that the increase in fiber diameter variations affect the value of E that is produced. Thus, it is become a recommendation for the use of this material in certain circumstances.</span></em></span>

2021 ◽  
Author(s):  
P. Raveendran ◽  
S. V. Alagarsamy ◽  
C. Chanakyan ◽  
M. Meignanamoorthy ◽  
M. Ravichandran ◽  
...  

Abstract In recent years, Glass Fiber Reinforced Plastic (GFRP) composites are more potential materials for usage in various structural applications in aerospace and automobile industries, owing to its favorable properties, such as light weight, specific strength, high elastic modulus and excellent corrosion resistance. This paper presents a new hybrid approach for multi-objective optimization of machining parameters on GFRP composite using Taguchi coupled grey relational (GR) and desirability function (DF) approach. The end milling of GFRP composite was performed as per Taguchi’s L16 orthogonal array by considering three input parameters: viz. cutting speed (V), feed rate (F) and depth of cut (D), each at four levels. The material removal rate (MRR), surface roughness (SR) and tool wear (TW) were chosen as output responses. The main effect plot was used to determine the optimum level of machining parameters on the multiple responses. Moreover, analysis of variance (ANOVA) were applied to examine the significance of the parameters. Based on the ANOVA results, it was been proved that the depth of cut was the most remarkable parameter, trailed by feed rate and cutting speed, respectively. Finally, the confirmation tests exhibited that the DA approach was employed better in terms of determining the optimum level of machining parameters as compared to GR analysis.


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