Corrigendum to “Effect of automated fiber placement (AFP) manufacturing signature on mechanical performance of composite structures” [Compos. Struct. 228 (2019) 111335]

2020 ◽  
Vol 233 ◽  
pp. 111700
Author(s):  
Minh Hoang Nguyen ◽  
Avinkrishnan A. Vijayachandran ◽  
Paul Davidson ◽  
Damon Call ◽  
Dongyeon Lee ◽  
...  
2019 ◽  
Vol 228 ◽  
pp. 111335 ◽  
Author(s):  
Minh Hoang Nguyen ◽  
Avinkrishnan A. Vijayachandran ◽  
Paul Davidson ◽  
Damon Call ◽  
Dongyeon Lee ◽  
...  

2020 ◽  
Vol 246 ◽  
pp. 112427
Author(s):  
Cong Zhao ◽  
Xianfeng Wang ◽  
Xingyu Liu ◽  
Cheng Ma ◽  
Qiyi Chu ◽  
...  

2021 ◽  
Author(s):  
Isciane Caprais ◽  
Pierre Joyot ◽  
Emmanuel Duc ◽  
Simon Deseur

Automated fiber placement processes could be combined with additive manufacturing to produce more functionally complex composite structures with more flexibility. The challenge is to add functions or reinforcements to PEEK/carbon composite parts manufactured by automated fiber placement process, with additive manufacturing by fused filament fabrication. This consists of extruding a molten polymer through a nozzle to create a 3D part. Bonding between polymer filaments is a thermally driven phenomenon and determines the integrity and the final mechanical strength of the printed part. 3d-printing high performance polymers is still very challenging because they involve high thermal gradients during the process. The purpose of this work is to find a process window where the bonding strength is maximized between the composite laminate and the first layer of printed polymer, and inside the printed function as well. Experimental measurements of the temperature profiles at the interface between a composite substrate and 3d-printed PEI under different processing conditions were carried out. The interface was observed using microscopic sections. The methodology for studying the impact of printing parameters on the cohesion and adhesion of printed parts with a composite laminate is described. This work provides insights about the influence of processing conditions on the bond formation between high-performance polymer surfaces. It highlights the importance of controlling the thermal history of the materials all along the process.


2019 ◽  
Vol 3 (2) ◽  
pp. 56 ◽  
Author(s):  
Falk Heinecke ◽  
Christian Willberg

The automated fiber placement process (AFP) enables the manufacturing of large and geometrical complex fiber composite structures with high quality at low cycle times. Although the AFP process is highly accurate and reproducible, manufacturing induced imperfections in the produced composite structure occur. This review summarizes and classifies typical AFP-related manufacturing defects. Several methodologies for evaluating the effects of such manufacturing defects from the literature are reviewed. This review paper presents recent scientific contributions and discusses proposed experimental and simulation-based methodologies. Among the identified ten defect classes, gaps and overlaps are predominant. This paper focuses then on methods for modelling and assessing gaps and overlaps. The state of the art in modelling gaps and overlaps and assessing their influence on mechanical properties is presented. Finally, research gaps and remaining issues are identified.


Author(s):  
Minh H. Nguyen ◽  
Avinkrishnan A. Vijayachandran ◽  
Paul Davidson ◽  
Damon Call ◽  
Dongyeon Lee ◽  
...  

2014 ◽  
Vol 643 ◽  
pp. 48-53 ◽  
Author(s):  
Jie Chen ◽  
Wen Jun Xu ◽  
Ben Wang ◽  
Yu Gang Duan ◽  
Xiao Hui Zhang

Robotic automated fiber placement (Robotic AFP) was a cost-effective and highly innovative approach to produce large and complex composite structures. In order to achieve desired qualities, the tow tension of the process required to becontrolled accurately. Due to the high nonlinearity of the system, such as the large elastic modulus, flexibility and viscosity of the tow, traditional methods failed to work effectively. A fuzzy-adaptive PIDcontroller combining fuzzy logic and adaptive PID together was proposed in this work. Fuzzy logic was able to respond quickly to disturbances without the need for an accurate model and adaptive PID control could eliminate the steady-state error by adapting its parameters to the working conditions. With this method, the tow tension could be precisely regulated thus improved the qualities of the composite structures.


2021 ◽  
pp. 002199832110316
Author(s):  
Mohammadhossein Ghayour ◽  
Mehdi Hojjati ◽  
Rajamohan Ganesan

Automated manufacturing defects are new types of composite structure defects induced during fiber deposition by robots. Fiber tow gap is one of the most probable types of defects observed in the Automated Fiber Placement (AFP) technique. This defect can affect the structural integrity of structures by reducing structural strength and stiffness. The effect of this defect on the mechanical response of the composite laminates has been investigated experimentally in the literature. However, there is still no efficient numerical/analytical method for damage assessment of composite structures with distributed induced gaps manufactured by the AFP technique. The present paper aims to develop the Induced Defect Layer Method (IDLM), a new robust meso-macro model for damage analysis of the composite laminates with gaps. In this method, a geometrical parameter, Gap Percentage (GP), is implemented to incorporate the effect of induced-gaps in the elastic, inelastic, and softening behavior at the material points. Thus, while the plasticity and failure of the resin pockets in conjunction with intralaminar composite damages can be evaluated by this method, the defective areas are not required to be defined as resin elements in the Finite Element (FE) models. It can also be applied for any arbitrary distributions of the defects in the multi-layer composite structures, making it a powerful tool for continuum damage analysis of large composite structures. Results indicate that the proposed method can consider the effect of gaps in both elastic and inelastic behavior of the composite laminate with defects. It also provides good agreement with the experimental results.


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