No abstract

This paper proposes a Sine Cosine hybrid optimization algorithm with Modified Whale Optimization Algorithm (SCMWOA). The goal is to leverage the strengths of WOA and SCA to solve problems with continuous and binary decision variables. The SCMWOA algorithm is first tested on nineteen datasets from the UCI Machine Learning Repository with different number attributes, instances, and classes for feature selection. It is then employed to solve several benchmark functions and classical engineering case studies. The SCMWOA algorithm is applied for solving constrained optimization problems. The two tested examples are the welded beam design and the tension/compression spring design. The results emphasize that the SCMWOA algorithm outperforms several comparative optimization algorithms and provides better accuracy compared to other algorithms. The statistical analysis tests, including one-way analysis of variance (ANOVA) and Wilcoxon's rank-sum, confirm that the SCMWOA algorithm performs better.

Additive manufacturing technology can help us to produce complex components/parts easily. It can be used to develop the parts with multi-material structures consisting of thermoplastic, thermosetting plastic, and ceramic fibers. This multi-material structure enhances the performance of lightweight polymer-based components. In this research work, poly-lactic acid (PLA) lattice (mono-material structure), PLA lattice filled with epoxy (bi-material structure), and PLA lattice incorporated with embedded milled glass fibers (MGFs) in an epoxy matrix (tri-material structure, TMS) were designed and developed by fused filament fabrication and solution casting methods. PLA lattice of 50% volume was fixed in all structures and 50% volume was filled with epoxy and MGFs. The dispersed MGFs in epoxy matrix were varied from 0, 2.5, 5, and 7.5 vol%. The mechanical properties were carried out by compression test, three-point bending test, and tensile test. The results revealed that 5 vol% of MGFs in the epoxy sample (TMS) exhibited improved mechanical performances compared to other samples. The cone-beam CT scan results confirmed the voids/porous free surfaces in the developed materials. The high-resolution scanning electron microscope microstructural evolutions in-terms of topography and fractured regions were also examined and reported.

No abstract

No abstract