scholarly journals State of the‐Art for Extrudate Swell of Molten Polymers: From Fundamental Understanding at Molecular Scale toward Optimal Die Design at Final Product Scale

2020 ◽  
Vol 305 (11) ◽  
pp. 2070029
Author(s):  
Dahang Tang ◽  
Flavio H. Marchesini ◽  
Ludwig Cardon ◽  
Dagmar R. D'hooge
Forests ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 616 ◽  
Author(s):  
Nayomi Z. Plaza

Although molecular-scale wood-water interactions needed for moisture-durability can lead to the accelerated development of moisture-durable products, these interactions are often experimentally elusive. In this perspective, the topic’s state of the art understanding will be discussed, excluding computational work. Recent research efforts based on infrared spectroscopy methods have provided new insights in terms of the accessibility of the wood polymers and moisture-induced polymer dynamics. Likewise, neutron scattering and nuclear magnetic relaxometry experiments have shown that bound water can be found within more than one local environment inside the cell wall. However, a majority of the experiments have focused on studying extracted or derived polymers instead of unmodified wood. Thus, in this paper some of the questions that still need to be addressed experimentally will also be highlighted.


2020 ◽  
pp. 089270572090765
Author(s):  
Ayesha Kausar

This review presents state-of-the-art progress in the field of polystyrene (PS)/graphene nanocomposite. Graphene is a monoatomic thick nanoallotrope of carbon. It has attracted tremendous research consideration owing to chemical functionalization aptitude and remarkable physical properties. Graphene has been used as a potential nanofiller to dramatically improve the performance of polymeric nanocomposite. PS is an important synthetic aromatic thermoplastic polymer. Graphene has been used to enhance the mechanical strength, thermal stability, electrical conductivity, and thermal conductivity of PS/graphene nanocomposite. Dispersion routes and synthetic methods of graphene and PS/graphene nanocomposite have also been reviewed. PS/graphene nanocomposites have been explored for anticorrosion, electromagnetic interference shielding, batteries, electrocatalysis, and microextraction applications. In spite of interesting developments, a lot remains to be done with regard to fundamental understanding of structure–property relationship and designing materials to operate for advanced high performance applications. This review is also concluded listing current challenges associated with processing and future perspectives of nanocomposite.


Author(s):  
Yifeng Hong ◽  
Jack G. Zhou ◽  
Donggang Yao

Porous materials with well-defined pore shapes, sizes and distributions are highly desired in many emerging applications, particularly for biomedical materials and devices. However, conventional methods for processing porous materials only demonstrated limited capability in morphological control. One promising solution is the porogen templating process, where a structured porogen pattern is created first and subsequently used as a template or mold for generation of the desired porous material. Particularly, with solid freeform fabrication, porogen templates having complex internal structures can be additively fabricated, and they can then be used as molds for molding of porous materials and devices. This article attempts to offer a constructive overview on the state of the art of porogen patterning and inverse molding, with the goal of explaining the working mechanisms and providing unbiased accounts of the pros and cons of existing techniques and process variants. The article further intends to provide a fundamental understanding of the constituent elements and corresponding building blocks in porogen templating processes. An increased understanding of these elements will facilitate the development of more capable new processes.


2016 ◽  
Vol 66 (4) ◽  
pp. 323 ◽  
Author(s):  
Jitendra Gangwar ◽  
Bipin Kumar Gupta ◽  
Avanish Kumar Srivastava

<p>This review article mainly focused on the recent progress on the synthesis and characterization of emerging artificially engineered nanostructures of oxide materials as well as their potential applications. A fundamental understanding about the state-of-the-art of the synthesis for different size, shape and morphology, which can be tuned to the desired properties of oxide nanomaterials have discussed in details in this review. The present review covers the a wide range of artificially engineered oxide nanomaterials such as cadmium-, cupric-, nickel-, magnesium-, zinc-, titanium-, tin-, aluminium-, and vanadium-oxides and their useful applications in sensors, optical displays, nanofluids and defence.</p>


Author(s):  
J F T Pittman

A review is provided of issues and techniques in design and optimization of profile extrusion dies for thermoplastics and rubber, with particular emphasis on unplasticized polyvinyl chloride and rubber compounds. Traditional profile die design methods are contrasted with computer-based ones, with respect to efficiency and economic benefits. The main types of die construction are outlined. Physical phenomena relevant to the design and performance of dies are summarized, including: rheology and kinematics of the flow, wall slip, extrusion instabilities, residence time and degradation, extrudate swell, draw-down, and thermal effects. Approaches and strategies for die design are explained, including: flow balancing – with guidance from analytic flow results, the Avoid-Cross-Flow strategy, use of flow separators, and designing for extrudate swell. Published computer simulations of die flow used to assist with design are reviewed. Introducing automatic die design, the structure and elements of a computerized design optimization environment are set out. Key components and options within this are described, including: objective functions, constraints, design variables, optimization algorithms, design parameterization and flow domain meshing, and optimization strategies. Published implementations of computerized profile die design optimization are described. Automatic design optimization is compared with the work of a designer assisted by flow simulations in the industrial environment, showing how substantial reductions in demands on the designer's time are possible. The nature and potential of robust design is outlined, with techniques for its implementation. Conclusions are drawn as to the present state of the art in computer-assisted profile die design and optimization, and potential advances.


2011 ◽  
Vol 291-294 ◽  
pp. 480-484
Author(s):  
Xing Ming Xu ◽  
Sheng Xue Qin ◽  
Wei Wang

The precise prediction of extrudate swell is significant to the control of melt flow and the quality of final products. A mathematical model of power law flow for polymer extrusion is investigated. The penalty function formulation is introduced to the finite element model and the free surface is updated with streamline equation in a decoupled method. A proper penalty constant is determined by comparison of numerical results with different penalty constants. The velocity field is obtained and the distribution of velocity on different cross sections is compared. The effects of volumetric flow rate and die shape on extrudate swell ratio are discussed. The simulation results are very important for the process and die design of the polymer extrusion.


1987 ◽  
Vol 5 (1) ◽  
pp. 23-33 ◽  
Author(s):  
I. Haque ◽  
J. E. Jackson ◽  
T. Gangjee ◽  
A. Raikar

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Evan Walter Clark Spotte-Smith ◽  
Samuel M. Blau ◽  
Xiaowei Xie ◽  
Hetal D. Patel ◽  
Mingjian Wen ◽  
...  

AbstractLithium-ion batteries (LIBs) represent the state of the art in high-density energy storage. To further advance LIB technology, a fundamental understanding of the underlying chemical processes is required. In particular, the decomposition of electrolyte species and associated formation of the solid electrolyte interphase (SEI) is critical for LIB performance. However, SEI formation is poorly understood, in part due to insufficient exploration of the vast reactive space. The Lithium-Ion Battery Electrolyte (LIBE) dataset reported here aims to provide accurate first-principles data to improve the understanding of SEI species and associated reactions. The dataset was generated by fragmenting a set of principal molecules, including solvents, salts, and SEI products, and then selectively recombining a subset of the fragments. All candidate molecules were analyzed at the ωB97X-V/def2-TZVPPD/SMD level of theory at various charges and spin multiplicities. In total, LIBE contains structural, thermodynamic, and vibrational information on over 17,000 unique species. In addition to studies of reactivity in LIBs, this dataset may prove useful for machine learning of molecular and reaction properties.


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