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Polymeric Nanocomposite Foam
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Polymeric Nanocomposite Foam

A special issue of Polymers (ISSN 2073-4360). This special issue belongs to the section "Polymer Composites and Nanocomposites".

Deadline for manuscript submissions: closed (25 June 2023) | Viewed by 4156

Special Issue Editors

Dr. Jinghao Li

E-Mail Website
Guest Editor
Synthetic Biology and Renewable Products, Texas A&M AgriLife, Texas A&M University, College Station, TX 77840, USA
Interests: polymer and polymer composites; biomass and industrial wastes valorization; materials and structures design; characterization; testing; evaluation
Dr. Bo Chen

E-Mail Website
Guest Editor
Department of Mechanical Engineering, A. James Clark School of Engineering, University of Maryland College Park, College Park, MD 20742, USA
Interests: sustainable materials; porous materials; cellulose-based materials; water harvesting materials; mechanics of materials
Prof. Dr. Jingxin Hao

E-Mail Website
Guest Editor
Department of Furniture Design and Engineering, College of Furniture and Art Design, Central South University of Forestry & Technology, Changsha 410004, China
Interests: Wood; Wood-based materials; Wood-based products and its produciton

Special Issue Information

Dear Colleagues,

Polymer nanocomposites have been developed for the last few decades and are used to create multi-scaled porous materials. Use of nanocomposites in the formation of porous materials enhances the property profiles such as porosity control, strength, stiffness, surface area, etc. The remarkable properties make the polymer nanocomposite foams an intriguing class of materials for applications ranging from conventional areas to more advanced ones, such as hydrogen storage, electromagnetic shielding, sensors, and thermally and acoustically insulating materials.

We are pleased to invite you to submit your work to this Special Issue of Polymers on “polymeric nanocomposite foams”. This Special Issue welcomes original research articles and reviews, and considers recent research on novel polymeric nanocomposite foams in all their aspects: design, composition, fabrication, microstructure, characterization and analysis, application, etc.

The topics include, but are not limited to, the following:

  • Biopolymer porous materials;
  • Biodegradable porous materials;
  • Close-cell, open-cell and interconnected-cell foams;
  • Foaming method;
  • Thermal resistance and flame retardant foams;
  • Carbon/polymer composite foams;
  • Synthesized polymer foams;
  • Water harvesting and solar steam foams;
  • Natural cellular materials such as wood or wood-based composites;
  • Other novel applications of polymeric nanocomposite foams.

We look forward to receiving your contributions. 

Dr. Jinghao Li
Dr. Bo Chen
Prof. Dr. Jingxin Hao
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Polymers is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • polymeric nanocomposite foam
  • functional foams
  • foam morphology
  • foaming methods

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Published Papers (2 papers)

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Research

22 pages, 7759 KiB  
Article
Molecular Dynamics Simulation of the Synergistic Effect of Alkali/Surfactant/Polymer on the Formation and Stabilization of Water-Based Foam Systems
by Yong Wang, Xinpeng Le, Xingwang Wang, Wenbo Liu and Zhihua Wang
Polymers 2023, 15(3), 584; https://doi.org/10.3390/polym15030584 - 23 Jan 2023
Cited by 3 | Viewed by 1638
Abstract
The stable maintenance effect of a chemical oil displacement agent on a foam liquid film usually creates problems with the oilfields surface system. To achieve comprehensive insights into the influence mechanism of these chemical agent components on the foam liquid film, an “SDBS/HPAM/OH [...] Read more.
The stable maintenance effect of a chemical oil displacement agent on a foam liquid film usually creates problems with the oilfields surface system. To achieve comprehensive insights into the influence mechanism of these chemical agent components on the foam liquid film, an “SDBS/HPAM/OH−” water-based foam simulation system and corresponding control systems were constructed by adjusting the categories and quantities of component molecules by molecular dynamics (MD) simulation. The simulated results indicated that the foam stability follows the order of “SDBS/HPAM/OH−” system > “SDBS/HPAM” system > “SDBS” system. The smaller the inclination angle of the SDBS molecular tail chain, the greater the tendency of the SDBS molecular configuration to be “upright” at the gas−liquid interface, which is not conducive to preventing the aggregation and penetration of gas molecules at the gas−liquid interface. Although the presence of HPAM molecules can significantly enhance the stability of the liquid film by restricting the liquid film’s drainage and the diffusion of gas molecules, the addition of HPAM molecules would weaken the formation ability of the foam liquid film. Through decreasing the aggregation of cations around the co-adsorption layer, OH− not only enhances the interfacial activity of SDBS molecules, but also reduces the electrostatic repulsion between –COO− groups on the HPAM molecular chain, which makes the foam more stable. With an increase in the pH, SDBS concentration, and HPAM concentration, the stability of foam liquid film was strengthened. These results are helpful in facilitating new insights into the formation and stabilization mechanism of water-based foams. In particular, they provide support for the development and application of new defoaming technologies. Full article
(This article belongs to the Special Issue Polymeric Nanocomposite Foam)
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18 pages, 9397 KiB  
Article
Deep Learning Methods for Wood Composites Failure Predication
by Bin Yang, Xinfeng Wu, Jingxin Hao, Tuoyu Liu, Lisheng Xie, Panpan Liu and Jinghao Li
Polymers 2023, 15(2), 295; https://doi.org/10.3390/polym15020295 - 6 Jan 2023
Cited by 2 | Viewed by 1852
Abstract
For glulam bonding performance assessment, the traditional method of manually measuring the wood failure percentage (WFP) is insufficient. In this paper, we developed a rapid assessment approach to predicate the WFP based on deep-learning (DL) techniques. bamboo/Larch laminated wood composites bonded with either [...] Read more.
For glulam bonding performance assessment, the traditional method of manually measuring the wood failure percentage (WFP) is insufficient. In this paper, we developed a rapid assessment approach to predicate the WFP based on deep-learning (DL) techniques. bamboo/Larch laminated wood composites bonded with either phenolic resin (PF) or methylene diphenyl diisocyanate (MDI) were used for this sample analysis. Scanning of bamboo/larch laminated wood composites that have completed shear failure tests using an electronic scanner allows a digital image of the failure surface to be obtained, and this image is used in the training process of a deep convolutional neural networks (DCNNs).The result shows that the DL technique can predict the accurately localized failures of wood composites. The findings further indicate that the UNet model has the highest values of MIou, Accuracy, and F1 with 98.87%, 97.13%, and 94.88, respectively, compared to the values predicted by the PSPNet and DeepLab_v3+ models for wood composite failure predication. In addition, the test conditions of the materials, adhesives, and loadings affect the predication accuracy, and the optimal conditions were identified. The predicted value from training images assessed by DL techniques with the optimal conditions is 4.3%, which is the same as the experimental value measured through the traditional manual method. Overall, this advanced DL method could significantly facilitate the quality identification process of the wood composites, particularly in terms of measurement accuracy, speed, and stability, through the UNet model. Full article
(This article belongs to the Special Issue Polymeric Nanocomposite Foam)
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