In this study, Carbon, Glass, and Aramid fiber reinforced composite and their hybridized forms were fabricated using five different stacking sequences of the fabrics. Using the Vacuum Assisted Resin Transfer Molding (VARTM) procedure, epoxy resin was injected into these fabrics and allowed to cure at room temperature. From these five stacking sequences, a standard specimen with four different orientations viz. 0/90°, 15/75°, 30/60°, 45/-45° orientations were obtained using the Abrasive Water Jet Machining(AWJM) Process. The influence of stacking order and fiber orientation on tensile and flexural properties of composite was investigated. From the result of tensile testing, the highest and lowest tensile strength values were observed for neat carbon fiber reinforced composite at 0/90° orientation and at 45/-45° orientation respectively. The highest flexural strength was achieved in a hybrid combination of two layers of carbon, glass and aramid fabric for 0/90° whereas the lowest flexural strength was found in glass reinforced composite for the 45/-45° orientation.

The study and determining of fibre-orientation with a two-dimensional (2D) image analysis of cross-sections is a fast and efficient way to get the fibre orientation distribution over a wide specimen area. There are several techniques for measuring fiber-orientation; however, the present study is based on a technique for the sake of obtaining better results . In this work , we utilize second moments technique to determine fibre orientation state by the use of a Scanning Electron Microscope (SEM) images. In order to determine the fiber-orientation state, a second order orientation tensor is employed. A thermoplastic matrix containing 5, 10, 15, 20, 25 and 30% by weight of hemp fiber is molded using an injection molding machine to obtain dumbbell samples. The orientation tensor is determined by employing geometric parameters of fibers on cross-sections.The geometric parameters are calculated by using image analysis, which employs a computational code especially developed to obtain a tensor components.