Bending and shear improvements in 3D-printed core sandwich composites through modification of resin uptake in the skin/core interphase region

Cao, Dongyang; Bouzolin, Dan; Lu, Hongbing; Griffith, D. Todd

doi:10.1016/j.compositesb.2023.110912

Cited by 152 publications

(2 citation statements)

References 30 publications

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“…Details of the sample preparation, experimental techniques (like four-point bending, etc. ), 3D-printing parameters, shear analysis of 3D-printed core sandwich composites, and comparison of published works about sandwich composites can be found in the previous work [40]. A proper thermoplastic polymer should be chosen for the shear properties of sandwich composites investigation.…”

Section: Bending and Shear Improvements In 3dmentioning

confidence: 99%

Composite materials in wind energy: design, manufacturing, operation, and end-of-life

Griffith,

Cao,

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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Wind energy has consistently grown over recent decades and has grown in many aspects including in terms of installed capacities, turbine size, blade length, and grid penetration. Along with this, wind energy is one of the largest producers of composite structures, and as a result is one of the largest users of composite materials. For wind energy applications, composite materials require high reliability, low-cost, and near-term and future industry goals are to reuse or recycle composite materials. These requirements are quite challenging as wind energy faces a challenging operating environment, which puts great pressure on wind blade materials over their entire life cycle. This paper aims to examine the challenges of composite materials for wind energy applications, and to highlight a few research studies that offer potential new solutions and new insights across the entire life cycle of composites for wind energy systems ranging from the design phase, to manufacturing, to operation, and finally to the end-of-life phase.

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Section: Bending and Shear Improvements In 3dmentioning

confidence: 99%

Composite materials in wind energy: design, manufacturing, operation, and end-of-life

Griffith,

Cao,

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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“…These parameters, which are strongly correlated with the compressive strength of concretes, along with validated empirical formulas, enrich the dataset for the training process. To achieve the training data, the Impulse Excitation Technique (IET), a method widely used for assessing various materials [28][29][30][31], was employed to non-destructively acquire the aforementioned parameters from concrete samples. While it is true that the IET experiment itself takes only a few seconds, the true time-saving potential lies in the ability to analyze a single concrete sample at various curing times and ages.…”

Section: Introductionmentioning

confidence: 99%

Machine learning-enabled characterization of concrete mechanical strength through correlation of flexural and torsional resonance frequencies

Bai,

Samavatian,

Samavatian

2024

Phys. Scr.

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In this study, an assessment of concrete compressive strength was conducted using an impulse excitation data-driven machine learning (ML) framework. The model was constructed based on a deep neural network and aided by the backpropagation method, ensuring a precise training process. In contrast to prior research, which mainly focused on mixture components, a meaningful relationship between physical parameters—resonant frequencies and elastic moduli—and compressive strength was established by our ML model. Remarkable performance was demonstrated, with a root mean square error of 2.8% and a determination coefficient of 0.97. Through Pearson analysis, correlations between input features and output targets, ranging from -0.29 to 0.90, were revealed. Notably, the strongest correlations with compressive strength were found in Young's and shear moduli, derived from flexural and torsional frequencies, highlighting the pivotal role of dynamic elastic response in concrete's mechanical behavior. Furthermore, the findings indicated slight prediction deviations in cases involving samples with a high Poisson's ratio. This work illuminates the potential for accurate compressive strength prediction by leveraging concrete's dynamic response, particularly flexural and torsional modes, thereby opening avenues for research into concrete compressive strength without direct consideration of sample ingredients.

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Error introduced by direct 3D printing of compression samples of PLA made by FDM process

Scipioni,

Lambiase

2023

Int J Adv Manuf Technol

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This study delves into the crucial aspect of sample preparation methodology and its profound impact on characterizing the physical and mechanical properties of components fabricated through the material extrusion (fused deposition modeling—FDM) process. Two distinct manufacturing approaches, direct printing and sample extraction from a plate, were employed to produce samples. To assess the influence of artifacts introduced by direct printing, compression tests were conducted under various loading directions. The investigation extends to density measurements and comprehensive morphological analysis, which plays a pivotal role in understanding the ramifications of different manufacturing approaches and principal sample directions. Notably, the research findings reveal that direct printing inflicts significant artifacts within the samples, fundamentally altering the properties obtained during testing. These artifacts substantially affect density measurements and mechanical behavior, indicating a potential avenue for future research and applications. Besides, the printing direction also significantly influenced the extent of the artifacts and differences in mechanical behavior. The maximum difference in density measurement was − 5.3%, while Young’s modulus reached − 29%, and yield strength ranged between − 12% (for vertical samples) and + 18% for horizontal samples with filaments arranged along the loading path. These findings underscore the necessity for meticulously crafted quality assessment protocols when utilizing functional parts manufactured through the material extrusion process. Such protocols should also consider the influence of sample dimensions on the mechanical characteristics of the components.

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Bending and shear improvements in 3D-printed core sandwich composites through modification of resin uptake in the skin/core interphase region

Cited by 152 publications

References 30 publications

Composite materials in wind energy: design, manufacturing, operation, and end-of-life

Composite materials in wind energy: design, manufacturing, operation, and end-of-life

Machine learning-enabled characterization of concrete mechanical strength through correlation of flexural and torsional resonance frequencies

Error introduced by direct 3D printing of compression samples of PLA made by FDM process

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