Tailoring interfacial properties of 3D-printed continuous natural fiber reinforced polypropylene composites through parameter optimization using machine learning methods

Cai, Ruijun; Wen, Wei; Wang, Kui; Peng, Yong; Ahzi, Saı̈d; Chinesta, Francisco

doi:10.1016/j.mtcomm.2022.103985

Cited by 21 publications

(10 citation statements)

References 46 publications

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“…Many authors have claimed the suitability of using the Box-Behnken design (BBD) of RSM to optimize the independent variables in their research article (Kandar and Akil 2016;Tharazi et al 2017). RSM-BBD is the choice to optimize the process parameters according to our application as well as replace the conventional time-consuming methods (Tharazi et al 2017;Cai et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Optimization of alkali-treated banana pseudo-stem fiber/PBAT/PLA bio-composite for packaging application using response surface methodology

Pei

Zou

Zhang

et al. 2022

BioRes

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The objective of this research was to prepare an optimized bio-composite for packaging based on alkali-treated banana pseudo-stem fiber (BPSF), PBAT, and PLA using response surface methodology (RSM). The effects of three factors, i.e., alkali-treated BPSF (0.8 to 2.4 g), PBAT (0.75 to 2.25 g), and PLA (1.6 to 3.2 g) on two dependent variables, i.e., bending strength and tensile strength of bio-composite, were investigated. Box-Behnken design (BBD) provided the combination for an optimum composite, which was 1.15 g of alkali-treated BPSF, 2.09 g of PBAT, and 2.66 g of PLA, respectively. The bending strength and tensile strength for alkali-treated BPSF/PBAT/PLA composite were 32.62 MPa and 30.91 MPa, which was 20.50% and 16.51% higher than native BPSF/PBAT/PLA composite. The bio-composite prepared using the optimized results was further characterized by Fourier transform infrared spectroscopy (FTIR), thermogravimetry, scanning electron microscopy (SEM), mechanical testing, contact angles, and water absorption tests. Analyses showed that alkali-treatment could improve the adhesion and compatibility of BPSF in the polymer matrix. These outcomes were associated with the use of treated-BPSF for better mechanical strength and lower hygroscopicity. This result demonstrated that alkali-treated agricultural residue and degradable polymer could be used to prepare composite materials for green packaging application.

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Section: Introductionmentioning

confidence: 99%

Optimization of alkali-treated banana pseudo-stem fiber/PBAT/PLA bio-composite for packaging application using response surface methodology

Pei

Zou

Zhang

et al. 2022

BioRes

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show abstract

“…The ML method has started to be gradually applied to field of AM in recent years. [76][77][78][79][80] For instance, Cai et al 49 first compared the prediction accuracy of commonly used prediction models response surface methodology (RSM), random forest (RF), and artificial neural network (ANN). As shown in Figure 7A,B, it could be found that the error of ANN for both inter-strength and intra-strength predictions was the smallest among the three models.…”

Section: Predictionmentioning

confidence: 99%

“…(A) R 2 scores and (B) errors (MAE, RMSE, MedAE) of the prediction models for inter‐strength and intra‐strength, (C) schematic diagram of the structure of ANN prediction model 49 …”

Section: Performance Optimization and Prediction Of 3d Printed Cnfrcsmentioning

confidence: 99%

“…The inter‐strength and intra‐strength predictions experiments and of different parameters 3D printed continuous natural fiber reinforced composites 49 …”

Section: Performance Optimization and Prediction Of 3d Printed Cnfrcsmentioning

confidence: 99%

“…I G U R E 6 (A) Flowchart of multi-objective optimization for the printing efficiency and mechanical property of 3D printed continuous natural fiber reinforced composites (CNFRCs), (B) optimal solution and knee point of the pareto optimal front, and (C) results of 3D printed CNFRCs before and after optimization. I G U R E 7 (A) R 2 scores and (B) errors (MAE, RMSE, MedAE) of the prediction models for interstrength and intra-strength, (C) schematic diagram of the structure of ANN prediction model 49. Furthermore, multi-objective optimization and ML methods were used to optimize and predict the mechanical properties of 3D printed CNFRCs.…”

mentioning

confidence: 99%

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3D printing continuous natural fiber reinforced polymer composites: A review

Cheng,

Peng,

Wang

et al. 2023

Polymers for Advanced Techs

Self Cite

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With the growing prominence of environmental conservation awareness, there has been a notable surge in the exploration of renewable materials, particularly in the realm of natural fiber reinforced polymer composites. This heightened focus is underscored by the recent advancements in additive manufacturing techniques dedicated to continuous natural fiber reinforced composites (CNFRCs), which have inherently opened unprecedented avenues for the holistic customization of CNFRCs with meticulously tailored properties. This work reviewed the advanced techniques for 3D printing CNFRCs and addressed their challenges and perspectives in the future. First, the 3D printing processes of CNFRCs were reviewed, and the use of reinforcement and matrix phases was classified in detail. Then, CNFRCs were discussed in terms of their mechanical performances and novel function of shape‐changing. Further, performance optimization and prediction methods of 3D printed CNFRCs were discussed. In conclusion, a perspective on future study opportunities of 3D printed CNFRCs was provided from design, manufacturing, prediction to application.

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Shape recovery and energy absorption properties of 3D printed continuous ramie fiber reinforced thin‐walled biocomposite structures

Lin,

Cai,

Cheng

et al. 2024

Polymer Composites

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Continuous fiber reinforced composites are widely used in thin‐walled structures due to their high specific strength and stiffness. In this work, continuous natural fiber was introduced into thin‐walled biocomposite structures via 3D printing technique to enhance energy absorbing properties and promote ecological compatibility. The effects of varying configurations of printing speed, layer thickness, and path optimization on the deposition quality of continuous ramie fiber and polylactic acid matrix were explored. The results showed that reduced printing speed (100 mm/min) and optimal layer thickness (0.25 mm) effectively minimized structural forming defects. In addition, further enhancements in the printing quality could be achieved by smoothing the path with rounded corners. Based on optimal printing strategies, different configurations of thin‐walled biocomposite structures were fabricated. Lateral monotonic and cyclic load tests were performed to investigate their energy absorption and shape recovery capacities. When the loading displacement was 10 mm (strain was 20%), the circular structure presented good shape recovery capability, with measured recovery ratio remaining above 89%. The hexagonal structure showed a similar variation in shape recovery ratio as the quadrangular structure, both remaining above 75%. Moreover, the specific energy absorption of all the structures converged after two cycles, indicating their remarkable and stable repeatable load‐bearing capacity.Highlights Continuous ramie fiber reinforced thin‐walled structures were prepared. The deformation patterns of structures under lateral compression were analyzed. Energy absorption and shape recovery radio were studied under cycle loading. Printed structures exhibited great and stable repeatable load‐bearing capacity.

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Tailoring interfacial properties of 3D-printed continuous natural fiber reinforced polypropylene composites through parameter optimization using machine learning methods

Cited by 21 publications

References 46 publications

Optimization of alkali-treated banana pseudo-stem fiber/PBAT/PLA bio-composite for packaging application using response surface methodology

Optimization of alkali-treated banana pseudo-stem fiber/PBAT/PLA bio-composite for packaging application using response surface methodology

3D printing continuous natural fiber reinforced polymer composites: A review

Shape recovery and energy absorption properties of 3D printed continuous ramie fiber reinforced thin‐walled biocomposite structures

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