[HTML][HTML] Automated fiber placement: A review of history, current technologies, and future paths forward
Automated fiber placement (AFP) is a composite manufacturing technique used to fabricate
complex advanced air vehicle structures that are lightweight with superior qualities. The AFP …
complex advanced air vehicle structures that are lightweight with superior qualities. The AFP …
Advances in computational intelligence of polymer composite materials: machine learning assisted modeling, analysis and design
The superior multi-functional properties of polymer composites have made them an ideal
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
choice for aerospace, automobile, marine, civil, and many other technologically demanding …
A review of multi-objective optimization: methods and algorithms in mechanical engineering problems
JLJ Pereira, GA Oliver, MB Francisco… - … Methods in Engineering, 2022 - Springer
The optimization problems that must meet more than one objective are called multi-objective
optimization problems and may present several optimal solutions. This manuscript brings …
optimization problems and may present several optimal solutions. This manuscript brings …
Machine learning regression approaches for predicting the ultimate buckling load of variable-stiffness composite cylinders
Due to the high computational cost of finite element analyses, particularly in optimization
tasks, establishing a high-fidelity surrogate model is of immense importance to engineers …
tasks, establishing a high-fidelity surrogate model is of immense importance to engineers …
[HTML][HTML] 3D printing of continuous carbon fibre reinforced polymer composites with optimised structural topology and fibre orientation
This study presents a sequentially coupled optimisation of structural topology and fibre
orientation for 3D printing of continuous carbon fibre reinforced polymer composites …
orientation for 3D printing of continuous carbon fibre reinforced polymer composites …
Transfer learning based variable-fidelity surrogate model for shell buckling prediction
This paper provides a novel establishment method of the variable-fidelity surrogate model
(VFSM) driven by transfer learning for shell buckling prediction problems such as buckling …
(VFSM) driven by transfer learning for shell buckling prediction problems such as buckling …
Metamodel based high-fidelity stochastic analysis of composite laminates: A concise review with critical comparative assessment
This paper presents a concise state-of-the-art review along with an exhaustive comparative
investigation on surrogate models for critical comparative assessment of uncertainty in …
investigation on surrogate models for critical comparative assessment of uncertainty in …
A review on the mechanical behaviour of curvilinear fibre composite laminated panels
A review on works that investigate the mechanical behaviour of variable stiffness composite
laminated panels is carried out in this paper. The review mostly focuses on buckling, failure …
laminated panels is carried out in this paper. The review mostly focuses on buckling, failure …
Defect layer method to capture effect of gaps and overlaps in variable stiffness laminates made by Automated Fiber Placement
A variable stiffness design can increase the structural performance of composite laminates.
In this paper, a composite laminate with curvilinear fiber paths is designed to maximize …
In this paper, a composite laminate with curvilinear fiber paths is designed to maximize …
Optimal design and manufacture of variable stiffness laminated continuous fiber reinforced composites
Advanced manufacturing methods like multi-material additive manufacturing are enabling
realization of multiscale materials with intricate spatially varying microstructures and thus …
realization of multiscale materials with intricate spatially varying microstructures and thus …