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2 Engineering Transactions

2 2020

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Investigations on tensile and flexural characteristics of fly ash and banana fiber-rein

Gopalan Venkatachalam, Sharma Shashank Kumar, Jangid Anil Kumar, Pragasam Vignesh, Satonkar Nilesh, Chinnaiyan Pandivelan

Engineering Transactions

2020

Vol. 68, iss. 1

89--101

Polymer matrix composites (PMCs) generally use the inorganic and non-biodegradable materials as reinforcements. This paper presents a PMC with reinforcement of fly ash and banana fiber. The epoxy resin is used as a matrix. This paper investigates the influences of the percentage of fly ash, the percentage of banana fiber and the size of banana fiber on tensile and flexural behaviors of fly ash and banana fiber reinforced epoxy matrix composite. Taguchi’s orthogonal array is used in the design of the experiments in the sample preparations. Analysis of variance (ANOVA) is employed to find the significance of input parameters on tensile and flexural behaviors.

Investigation on machining characteristics of banana fiber and silicon carbide reinforced polymer matrix composites

Gopalan Venkatachalam, Pragasam Vignesh, Narayanaswamy Hitesh Byatarayanapura, Balasubramanian Gokula Krishnan, Chinnaiyan Pandivelan

Engineering Transactions

2020

Vol. 68, iss. 3

297--313

In this study, machining characteristics of polymer composite consisting of banana fiber and silicon carbide (SiC) as reinforcements and epoxy resin as matrix are investigated. Reinforcement phases consist of raw banana fiber powder sieved to 100 microns size of 1% (w/w) and SiC powder of 1% (w/w). The conventional machining process is carried out on the fabricated composite samples by considering the depth of cut, feed rate and speed as influential parameters. The central composite design (CCD) is used to design the experiment based on response surface methodology (RSM). The analysis of variance (ANOVA) is used to study the influences of the depth of cut, feed rate and the speed on the material removal rate (MRR) and surface roughness. The results reveal that the feed rate is the most influential parameter for minimizing surface roughness and maximizing MRR. It is observed that the feed rate plays an important role in determining the surface roughness and MRR followed by the depth of cut and speed. The optimized parameters for maximum MRR and minimum surface roughness are also obtained.