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2 2020

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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.

Towards the optimization of process parameters for impact strength of natural fiber reinforced composites: Taguchi method

Yusuf S. S., Islam M. N., Ali M. H., Akram M. W., Siddique M. A.

Advances in Materials Science

2020

Vol. 20, nr 2(64)

54--70

This paper presents an investigation of impact strength of sponge gourd, coir, and jute fibers reinforced epoxy resin-based composites. Impact strength of specimens, made of composites with various proportions of wt% ratio of resin and hardener, wt% of resin and hardener, wt% ratio of sponge gourd and jute, wt% ratio of sponge gourd and coir, was measured. Design of experiment was done by Taguchi method using four control factors with three levels. Effect of the above control factors on impact strength was examined and the best combinations of control factors are advised. Confirmation test was performed by using this combination and the percentage of contribution of the above factors on impact strength was investigated by Analysis of Variance (ANOVA). Contour and interaction plots provide helpfully examines to explore the combined influences of different control factors on output characteristics. The regression equation represents a mathematical model that relates control factors with impact strength.