The welding of different materials with an acceptable quality range is an emerging study area; engineers and scientists worldwide have long been concerned with dissimilar welding materials. This study focuses on determining the friction stir welding of different aluminuim alloys; an experimental investigation was conducted (AA7475-T651 and AA2219-O). It also describes the FSW process parameters and response measurement for defining weld quality and the procedure for measuring them. Taguchi L27, orthogonal array method, is preferred for optimizing FSW parameters such as shoulder diameter, tool rotational speed, and traverse speed. The effect of welding parameters is investigated through the ANOVA table and graphs. The SEM analysis investigates the fracture and micrographic analysis in the heat-affected zone and thermo-mechanically affected zone.

Due to their unique characteristics, natural fiber reinforced polymer composites have recently been increasingly utilised to replace traditional materials. Fire retardant resins can increase flammability, and they have a deleterious influence on the mechanical properties of the material (Fan et al., 2020). As a result, this experiment examined the flammability of woven jute fiber reinforced with fly ash. The specimens were created by hand layup using a L9 orthogonal array and varying ratios of jute fiber, fly ash, and time for chemical fiber treatment. Vertical and horizontal flammability tests are conducted in accordance with ASTM D635 and ASTM D3801, respectively. According to the test results, the inclusion of fly ash significantly reduces flammability. In this work, 5 wt% inclusion of the jute fiber, 15 wt% addition of the fly ash, and with 10 hours, NaOH treatment produces a composite with minimum burning rates of 10.2 mm/min in horizontal UL-94 tests. To determine the link between input and output characteristics, various regression models from machine learning are used. Multilayer perception produced a stronger association in both horizontal and vertical testing, according to the models.

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