Multi Objective Optimization for Crashworthiness Parameters of Thin Walled Tubes with Optimal Alkali Treated Coir/Polyester Filled in Axial Quasi Static Loading Using Grey Relation Analysis and ANNOVA

In the quest of enhancing crashworthiness while maintaining lightweight characteristics in transportation manufacturing, this study focuses on optimizing the crashworthiness parameters of thin-walled steel tubes filled with Coir, a natural fiber material, using a combination of optimal alkali-treated Coir and Polyester as matrix under axial quasi-static loading conditions. The circular tubes were taken for the experiment due to its natural high specific energy absorption nature than all other shapes. The experiment involves gradually filling the tubes with Coir, ranging from empty, 33%, 66% to 100% filling, to investigate its impact on parameters such as energy absorption, compressibility, mean absorbing load, and specific energy absorption capacity. The bumper element is packed internally with the Coir to seek the advantage of natural fiber environmental benefits. And by experiment the initial force (3.4%) required to trigger the displacement in the thin-walled tube were compared and found to be of much less difference even though the energy absorption capacity (25.51%), compressibility (84.3%), mean absorbing load (19.59%) and Specific energy absorption capacity (69.08%) is seemed show the improvements by fiber fill in the thin-walled tube. The study also employs Grey Relation Analysis and ANNOVA to optimize and validate the multi-objective optimization process.