EFFECT OF CHEMICAL TREATMENTS ON MECHANICAL PROPERTIES OF JUTE FIBER HYBRID COMPOSITE LAMINATES

ABSTRACT A study has been carried out to investigate the tensile properties of alkali treated woven jute natural fiber and woven glass fiber reinforced Hybrid Composites Bolted Joint (TCBJ) and Untreated Hybrid Composite Bolted Joint (UTCBJ). Effect of stacking sequence and fiber treatment on tensile strength, hardness and impact strength of alkali treated woven jute natural fiber and woven glass fiber reinforced hybrid composites and Untreated Hybrid Composite has been investigated experimentally. It has been observed that the tensile properties increase with respect to jute fiber content. The results indicated that the properties of jute composites can be considerably improved by incorporation of glass fibre as extreme glass plies. The layer sequence has greater effect on hardness and Impact Strength

Modeling and simulation of Polymer Composite laminate bolted Joint

Abstract—Environmental awareness today motivates the researchers, worldwide on the studies of natural fiber reinforced polymer composite and cost effective option to synthetic fiber reinforced composites. This work is concerned with the modeling and simulation of bearing properties of hybrid fiber polymer composite mechanical joint using Artificial Neural Network (ANN). In general it was found that increase in bearing capacity was always with increasing the e/d and w/d ratio. However, the extent of increase/decrease depends on the type of stacking sequence. There was increase in strength with rise in natural fiber loading. In this study, an artificial neural network is developed to predict the response of bolt-loaded fiber reinforced polymer composite plates. To predict the behavior of the laminate failure, a multilayered feed-forward neural network trained with the back-propagation algorithm is constructed. The ANN was trained and verified using experimental data. Comparisons of ANN results with desired values showed that there is a good agreement between input and output variables of the experimental data. The results indicate that ANN was illustrated to be a valid useful and powerful tool for the prediction of bearing properties predictions of bolted joints in composite laminates

Synthesis and bioactivity evaluation of pyrazolone derivatives

1671-16743-Methyl-4-substituted benzylidene-pyrazol-5-ones 1-10 are synthesized by the condensation of 3-methyl-pyrazol-5-one with substituted aliphatic and aromatic aldehydes. Their structures have been elucidated from UV-Vis, IR, 1H NMR and mass spectral data. Among the synthesized derivatives 5, 6, 7 and 10 are found to have a potent anti-inflammatory response whereas compounds 1, 4, 5, 8 and 10 have an effective analgesic response. There is no remarkable difference in bioactivity of pyrazolones derived from aliphatic and aromatic aldehydes. All the experimental data are statistically significant at p<0.05