The current study deals with the effective usage of Portunus sanguinolentus shell, which is a solid waste in the seafood industry. This Portunus sanguinolentus shell waste was powdered and used as untreated fillers in jute fabrics reinforced epoxy composites. Then Portunus sanguinolentus shell waste powder was treated with chemicals to perform fat removal, deproteination, decarbonization and deacetylation to obtain treated Portunus sanguinolentus shell filler. Three different composites were developed with traditional hand layup process consisting of four layers jute fabrics that were filled with 10 wt% untreated Portunus sanguinolentus shell filler, chemical treated 10 wt% Portunus sanguinolentus shell filler and unfilled one. The thermo-mechanical and fracture morphologies were assessed by tensile, flexural, compression, shear, impact, hardness thermogravimetric analysis, Fourier-transform infrared spectroscopy and scanning electron microscopy analysis. The results showed an increase in the thermo-mechanical property of chemical-treated Portunus sanguinolentus shell powder-filled jute fabrics-based epoxy composite. This phenomenon is due to the increase in the chitosan, mineral contents and decrease in the organic content in the Portunus sanguinolentus shell powder due to chemical treatment, thus enhancing the bonding between the filler and fiber matrix with reduction of the void. A showcase stand was developed with the best performer, as an attempt in the perfection of application. The application is then analyzed using ANSYS to predict the deformation behavior when subjected to 0.25 kg, 0.5 kg and 1 kg loads.

This current study focuses on the suitability evaluation of cellulose fibers from the stem of Albizia julibrissin (AJ) plant. Density, Diameter, chemical constitutions, thermal degradation nature, crystallinity and topographical properties of AJF was evaluated. The results concluded that the cellulose percentage was higher with 55.83 wt. % with a lower percentage of lignin (16.03 wt. %) and hemicellulose (10.74 wt. %) for AJ fibers. The X-Ray diffraction analysis revealed that the crystallinity index value of the proposed fiber is 27.77% and the crystalline size is 6.79 nm. The thermo gravimetric analysis showed excellent stability with a char residue of 25.23% and a maximum degradation temperature of 330°C. Based on the outcomes in comparison with other cellulose fibers, it is proved that AJ fibers could be effectively used as reinforcement in the manufacturing of lightweight composites.

The propensity of manufacturers to produce goods at affordable cost, with more accuracy, and at a faster rate force them to search for novel solutions, such as deploying robots in place of people in a sector that can accommodate their needs. Welding is one of the most crucial processes in the automotive industry. This process is time-consuming, subject to error, and demands skilled professionals. The robotic application can improve this area of production and quality. Other industries, such as painting and material handling, can also profit from the use of robots. This work describes the fuzzy DC linear servo controller, which functions as a robotic arm actuator. Robots have been widely employed in most productive sectors in recent years, including assembly plates, welding, tasks at higher temperatures, etc. Controlling a robot accurately is a difficult undertaking as a robot is very nonlinear with many joints that are often organized and unstructured. To carry out the effective task, an effective PID control based on fuzzy logic has been employed together with the method of Particle Swarm Optimization (PSO) approach for the estimate of the parameter. This offline technique determines the lowest number of optimal robotic arm control parameters. To verify the controller design with computer simulation, a comparative assessment of controllers is given by means of a fuzzy surveillance controller with PSO which improves the parameter gain to provide a rapid climb, a smaller overflow, no steady condition error signal, and effective torque control of the robot arm.