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This paper aims to investigate the tensile behavior of epoxy and polyester matrix composites reinforced with continuous and aligned aloe vera fibers.

Composites with different volume fractions (30, 40 and 50 Vol. %) were fabricated by laying the fibers in a steel mould and pouring liquid resin, either DEGEBA/TETA epoxy or methyl-ethyl ketone hardened orthophthalic polyester, under pressure of 3 MPa. The specimens were cured for 24 h at room temperature and then tested in a universal Instron testing machine, model 5582, at 298 K (25°C).

The fracture surface was analyzed by scanning electron microscopy (SEM) under an acceleration voltage of 15 kV. SEM fractography revealed a poor adhesion between both the epoxy and polyester matrices with the aloe vera fiber. The results showed that in both cases the introduction of aloe vera fibers had a minor effect on the matrix reinforcement.

Investigation and comparison of tensile behavior of epoxy and polyester matrix composites reinforced with continuous and aligned aloe vera fibers have not been attempted so far.

This paper aims to find the effective 3D printing process parameters based on mechanical characteristics such as tensile strength and hardness of poly lactic acid (PLA)/carbon fibre composites (CF-PLA) by implementing intelligent frameworks.

The experiment trials are conducted based on design of experiments (DoE) using Taguchi L9 orthogonal array with three factors (speed, infill % and pattern type) and three levels. The factors have been optimized by solving the regression equation which is obtained from analysis of variance (ANOVA). The contour plots are generated by response surface methodology (RSM). The influencing parameters are found by using Box–Behnken design. The second order response surface model demonstrated the optimal combination of input parameters for higher tensile strength and hardness.

The influencing parameters are found by using Box–Behnken design. The second order response surface model demonstrated the optimal combination of input parameters for higher tensile strength and hardness. The results obtained from RSM are also confirmed by implementing the machine learning classifiers, such as logistic regression, ridge classifier, random forest, K nearest neighbour and support vector classifier (SVC). The results show that the SVC can predict the optimized process parameters with an accuracy of 95.65%.

3D printing parameters which are considered in this work such as pattern types for PLA/CF-PLA composites based on intelligent frameworks has not been attempted previously.

The main purpose of this proposed parabolic leaf spring (PLS) is to reduce the weight of the steel leaf spring by developing a new design, to increase the load-carrying capacity, to increase the ride comfort for the passengers and also to achieve a substantial weight reduction in the suspension system by replacing the semi-elliptic leaf spring.

The semi-elliptic steel leaf spring and the PLS are compared based on the load-carrying capacity and weight. The design constraints are stresses and deflection. The dimensions of the HM trekker Jeep semi-elliptic leaf springs are taken. A three-dimensional model is created, and the static structural analysis is performed. The semi-elliptic leaf spring is tested on a universal testing machine, and the experimental result is compared with the analytical result for the validation. After validation, the stress analysis of the PLS is carried out and compared with the stress analysis of the semi-elliptic leaf spring.

The results show that the developed PLS performs better than the semi-elliptic leaf spring in terms of load-carrying capacity and weight reduction.

Comparison between the semi-elliptic leaf spring and the PLS (static structural analysis and dynamic analysis) has not been carried out before.

The need for seeking alternate materials with increased performance in the field of composites revived this research, to prepare and evaluate the mechanical properties of e-glass and aloe vera fiber-reinforced with polyester and epoxy resin matrices.

The composites are prepared by hand layup method using E-glass and aloe vera fibers with length 5-6 mm. The resin used in the preparation of composites was epoxy and polyester. Fiber-reinforced composites were synthesized at 18:82 fiber–resin weight percentages. Samples prepared were tested to evaluate its mechanical and physical properties, such as tensile strength, flexural strength, impact strength, hardness and scanning electron microscope (SEM).

SEM analysis revealed the morphological features. E-glass fiber-reinforced epoxy composite exhibited better mechanical properties than other composite samples. The cross-linking density of monomers of the epoxy resin and addition of the short chopped E-glass fibers enhanced the properties of E-glass epoxy fiber-reinforced composite.

This research work enlists the properties of e-glass and aloe vera fiber-reinforced with polyester and epoxy resin matrices which has not been attempted so far.