A hybrid multi-objective optimization of functional ink composition for aerosol jet 3D printing via mixture design and response surface methodology

The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet printing (AJP) technology. Despite the incorporation of carbon nanotubes (CNTs) and specified solvents into f...

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Published inScientific reports Vol. 13; no. 1; p. 2513
Main Authors Zhang, Haining, Liu, Zhixin, Yin, Shuai, Xu, Haifeng
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 13.02.2023
Nature Publishing Group
Nature Portfolio
Subjects
639/301/1005/1007
639/301/357/995
639/301/930/12
Aerosols
Design
Electrical resistivity
Ethanol
Humanities and Social Sciences
multidisciplinary
Nanotechnology
Nanotubes
Printing
Science
Science (multidisciplinary)
Statistical analysis
Variance analysis
Online AccessGet full text

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Abstract The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet printing (AJP) technology. Despite the incorporation of carbon nanotubes (CNTs) and specified solvents into functional inks can improve inter-particle connectivity and ink printability respectively, it is still challenging to consider multiple conflicting properties in mixture design simultaneously. This research proposes a novel hybrid multi-objective optimization method to determine the optimal functional ink composition to achieve low electrical resistivity and high printed line quality. In the proposed approach, silver ink, CNTs ink and ethanol are blended according to mixture design, and two response surface models (ReSMs) are developed based on the Analysis of Variance. Then a desirability function method is employed to identify a 2D optimal operating material window to balance the conflicting responses. Following that, the conflicting objectives are optimized in a more robust manner in the 3D mixture design space through the integration of a non-dominated sorting genetic algorithm III (NSGA-III) with the developed ReSMs and the corresponding statistical uncertainty. Experiments are conducted to validate the effectiveness of the proposed approach, which extends the methodology of designing materials with multi-component and multi-property in AJP technology.
AbstractList The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet printing (AJP) technology. Despite the incorporation of carbon nanotubes (CNTs) and specified solvents into functional inks can improve inter-particle connectivity and ink printability respectively, it is still challenging to consider multiple conflicting properties in mixture design simultaneously. This research proposes a novel hybrid multi-objective optimization method to determine the optimal functional ink composition to achieve low electrical resistivity and high printed line quality. In the proposed approach, silver ink, CNTs ink and ethanol are blended according to mixture design, and two response surface models (ReSMs) are developed based on the Analysis of Variance. Then a desirability function method is employed to identify a 2D optimal operating material window to balance the conflicting responses. Following that, the conflicting objectives are optimized in a more robust manner in the 3D mixture design space through the integration of a non-dominated sorting genetic algorithm III (NSGA-III) with the developed ReSMs and the corresponding statistical uncertainty. Experiments are conducted to validate the effectiveness of the proposed approach, which extends the methodology of designing materials with multi-component and multi-property in AJP technology.
Abstract The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet printing (AJP) technology. Despite the incorporation of carbon nanotubes (CNTs) and specified solvents into functional inks can improve inter-particle connectivity and ink printability respectively, it is still challenging to consider multiple conflicting properties in mixture design simultaneously. This research proposes a novel hybrid multi-objective optimization method to determine the optimal functional ink composition to achieve low electrical resistivity and high printed line quality. In the proposed approach, silver ink, CNTs ink and ethanol are blended according to mixture design, and two response surface models (ReSMs) are developed based on the Analysis of Variance. Then a desirability function method is employed to identify a 2D optimal operating material window to balance the conflicting responses. Following that, the conflicting objectives are optimized in a more robust manner in the 3D mixture design space through the integration of a non-dominated sorting genetic algorithm III (NSGA-III) with the developed ReSMs and the corresponding statistical uncertainty. Experiments are conducted to validate the effectiveness of the proposed approach, which extends the methodology of designing materials with multi-component and multi-property in AJP technology.
Abstract The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest hurdle to overcome for Aerosol jet printing (AJP) technology. Despite the incorporation of carbon nanotubes (CNTs) and specified solvents into functional inks can improve inter-particle connectivity and ink printability respectively, it is still challenging to consider multiple conflicting properties in mixture design simultaneously. This research proposes a novel hybrid multi-objective optimization method to determine the optimal functional ink composition to achieve low electrical resistivity and high printed line quality. In the proposed approach, silver ink, CNTs ink and ethanol are blended according to mixture design, and two response surface models (ReSMs) are developed based on the Analysis of Variance. Then a desirability function method is employed to identify a 2D optimal operating material window to balance the conflicting responses. Following that, the conflicting objectives are optimized in a more robust manner in the 3D mixture design space through the integration of a non-dominated sorting genetic algorithm III (NSGA-III) with the developed ReSMs and the corresponding statistical uncertainty. Experiments are conducted to validate the effectiveness of the proposed approach, which extends the methodology of designing materials with multi-component and multi-property in AJP technology.
ArticleNumber 2513
Author Xu, Haifeng
Zhang, Haining
Liu, Zhixin
Yin, Shuai
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  givenname: Zhixin
  surname: Liu
  fullname: Liu, Zhixin
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  givenname: Haifeng
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  fullname: Xu, Haifeng
  email: hf.xu.su@gmail.com
  organization: School of Information Engineering, Suzhou University
BackLink https://www.ncbi.nlm.nih.gov/pubmed/36781965$$D View this record in MEDLINE/PubMed
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CitedBy_id crossref_primary_10_1038_s41598_023_47544_4
crossref_primary_10_1002_adfm_202316426
crossref_primary_10_1002_adma_202310006
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SSID ssj0000529419
Score 2.4516947
Snippet The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the greatest...
Abstract The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the...
Abstract The limited electrical performance of microelectronic devices caused by low inter-particle connectivity and inferior printing quality is still the...
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StartPage 2513
SubjectTerms 639/301/1005/1007
639/301/357/995
639/301/930/12
Aerosols
Design
Electrical resistivity
Ethanol
Humanities and Social Sciences
multidisciplinary
Nanotechnology
Nanotubes
Printing
Science
Science (multidisciplinary)
Statistical analysis
Variance analysis
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Title A hybrid multi-objective optimization of functional ink composition for aerosol jet 3D printing via mixture design and response surface methodology
URI https://link.springer.com/article/10.1038/s41598-023-29841-0
https://www.ncbi.nlm.nih.gov/pubmed/36781965
https://www.proquest.com/docview/2775877888
https://search.proquest.com/docview/2776517887
https://pubmed.ncbi.nlm.nih.gov/PMC9925446
https://doaj.org/article/66a4f7b4537949e883c572fb3e3861e0
Volume 13
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