Additively manufactured AlSi10Mg inherently stable thin and thick-walled lattice with negative Poisson’s ratio

Arjunan, Arun; Singh, Manpreet; Baroutaji, Ahmad; Wang, Changjiang

doi:10.1016/j.compstruct.2020.112469

Cited by 61 publications

(31 citation statements)

References 177 publications

(186 reference statements)

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“…It can be seen that all models exhibit high F-values and very low p-values confirming that the models are significant. In statistical terms, surrogate models with a p-value less than 0.05 and an adequate precision ratio greater than 4 signifies an accurate model [ 95 ]. A closer to unity

and Adj-R 2 also indicates that the surrogate model is accurate for all the responses analysed.…”

Section: Resultsmentioning

confidence: 99%

3D Printed Cobalt-Chromium-Molybdenum Porous Superalloy with Superior Antiviral Activity

Arjunan

Robinson

Baroutaji

et al. 2021

IJMS

Self Cite

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COVID-19 pandemic and associated supply-chain disruptions emphasise the requirement for antimicrobial materials for on-demand manufacturing. Besides aerosol transmission, SARS-CoV-2 is also propagated through contact with virus-contaminated surfaces. As such, the development of effective biofunctional materials that can inactivate SARS-CoV-2 is critical for pandemic preparedness. Such materials will enable the rational development of antiviral devices with prolonged serviceability, reducing the environmental burden of disposable alternatives. This research reveals the novel use of Laser Powder Bed Fusion (LPBF) to 3D print porous Cobalt-Chromium-Molybdenum (Co-Cr-Mo) superalloy with potent antiviral activity (100% viral inactivation in 30 min). The porous material was rationally conceived using a multi-objective surrogate model featuring track thickness (tt) and pore diameter (ϕd) as responses. The regression analysis found the most significant parameters for Co-Cr-Mo track formation to be the interaction effects of scanning rate (Vs) and laser power (Pl) in the order PlVs>Vs>Pl. Contrastively, the pore diameter was found to be primarily driven by the hatch spacing (Sh). The study is the first to demonstrate the superior antiviral properties of 3D printed Co-Cr-Mo superalloy against an enveloped virus used as biosafe viral model of SARS-CoV-2. The material significantly outperforms the viral inactivation time of other broadly used antiviral metals such as copper and silver, as the material’s viral inactivation time was from 5 h to 30 min. As such, the study goes beyond the current state-of-the-art in antiviral alloys to provide extra protection to combat the SARS-CoV-2 viral spread. The evolving nature of the COVID-19 pandemic brings new and unpredictable challenges where on-demand 3D printing of antiviral materials can achieve rapid solutions while reducing the environmental impact of disposable devices.

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and Adj-R 2 also indicates that the surrogate model is accurate for all the responses analysed.…”

Section: Resultsmentioning

confidence: 99%

3D Printed Cobalt-Chromium-Molybdenum Porous Superalloy with Superior Antiviral Activity

Arjunan

Robinson

Baroutaji

et al. 2021

IJMS

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 99%

3D printed cobalt-chromium-molybdenum porous superalloy with superior antiviral activity

Arjunan

Robinson

Baroutaji

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

COVID-19 pandemic and associated supply-chain disruptions emphasise the requirement for antimicrobial materials for on-demand manufacturing. Besides aerosol transmission, SARS-CoV-2 is also propagated through contact with virus-contaminated surfaces. As such, the development of effective biofunctional materials that can inactivate SARS-CoV-2 is critical for pandemic preparedness. Such materials will enable the rational development of antiviral devices with prolonged serviceability, reducing the environmental burden of disposable alternatives. This research reveals the novel use of Laser Powder Bed Fusion (LPBF) to 3D print porous Cobalt-Chromium-Molybdenum (Co-Cr-Mo) superalloy with potent antiviral activity (100% viral inactivation in 30 mins). The porous material was rationally conceived using a multi-objective surrogate model featuring track thickness (tt) and pore diameter (ϕd) as responses. The regression analysis found the most significant parameters for Co-Cr-Mo track formation to be the interaction effects of scanning rate (Vs) and laser power (Pl) in the order PlVs>Vs>Pl. Contrastively, the pore diameter was found to be primarily driven by the hatch spacing (Sh). The study is the first to demonstrate the superior antiviral properties of 3D printed Co-Cr-Mo superalloy against an enveloped virus used as biosafe viral model of SARS CoV 2. The material significantly outperforms the viral inactivation time of other broadly used antiviral metals such as copper and silver from 5 hours to 30 minutes. As such, the study goes beyond the current state-of-the-art in antiviral alloys to provide extra protection to combat the SARS-COV-2 viral spread. The evolving nature of the COVID-19 pandemic brings new and unpredictable challenges where on-demand 3D printing of antiviral materials can achieve rapid solutions while reducing the environmental impact of disposable devices.

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“…Weight change is calculated for all connections. The errors for all patterns are summed and the algorithm is active until the error falls below a specified value [ 10 , 11 , 13 ].…”

Section: Model Developmentmentioning

confidence: 99%

“…Because to the complex interrelationship between these welding parameters, it is hard to deduce an appropriate physics model in continuous welding process with changing parameters [ 5 ]. In recent decades, researchers have applied various mathematical models to build the relationship between multi-input and multi-output parameters, e.g., factorial design, linear and nonlinear regression, response surface methodology, and artificial neural network (ANN) [ 4 , 6 , 7 , 8 , 9 , 10 , 11 ]. These design of experiments (DOE) techniques apply to different areas according to the complex relationship between input and output parameters, and they achieve high accuracy and efficiency in modeling.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Bead Geometry with Changing Welding Speed Using Artificial Neural Network

Dong

Gao

2021

Materials

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Bead size and shape are important considerations for industry design and quality detection. It is hard to deduce an appropriate mathematical model for predicting the bead geometry in a continually changing welding process due to the complex interrelationship between different welding parameters and the actual bead. In this paper, an artificial neural network model for predicting the bead geometry with changing welding speed was developed. The experiment was performed by a welding robot in gas metal arc welding process. The welding speed was stochastically changed during the welding process. By transient response tests, it was indicated that the changing welding speed had a spatial influence on bead geometry, which ranged from 10 mm backward to 22 mm forward with certain welding parameters. For this study, the input parameters of model were the spatial welding speed sequence, and the output parameters were bead width and reinforcement. The bead geometry was recognized by polynomial fitting of the profile coordinates, as measured by a structured laser light sensor. The results showed that the model with the structure of 33-6-2 had achieved high accuracy in both the training dataset and test dataset, which were 99% and 96%, respectively.

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Additively manufactured AlSi10Mg inherently stable thin and thick-walled lattice with negative Poisson’s ratio

Abstract: Chang (2020) Additively manufactured AlSi10Mg inherently stable thin and thick-walled lattice with negative Poisson's ratio. Composite Structures, 247. a112469.

Cited by 61 publications

References 177 publications

3D Printed Cobalt-Chromium-Molybdenum Porous Superalloy with Superior Antiviral Activity

3D Printed Cobalt-Chromium-Molybdenum Porous Superalloy with Superior Antiviral Activity

3D printed cobalt-chromium-molybdenum porous superalloy with superior antiviral activity

Prediction of Bead Geometry with Changing Welding Speed Using Artificial Neural Network

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