Pub Date : 2022-10-26DOI: 10.1177/87560879221124172
M. Spalding, Xiaofei Sun, S. Kodjie, Libo Du, T. Womer, N. Uzelac
Maddock mixers are ubiquitous in plastics processing for single-screw extruders and injection molding plasticators due to their low cost to build and their ability to provide a uniform level of dispersive mixing. If the mixer is designed properly, all entering solid polymer fragments and certain types of gels can be trapped and dispersed into the matrix resin. Many mixers that are used commercially, however, provide lower levels of dispersive stress mixing than required by the process and they can degrade polyethylene (PE) resins. This paper will describe the mechanisms that are occurring in a Maddock mixer and develop guidelines for obtaining optimal mixing stresses while mitigating resin degradation.
{"title":"A maddock mixer design that mitigates gels in polyethylene resin film applications","authors":"M. Spalding, Xiaofei Sun, S. Kodjie, Libo Du, T. Womer, N. Uzelac","doi":"10.1177/87560879221124172","DOIUrl":"https://doi.org/10.1177/87560879221124172","url":null,"abstract":"Maddock mixers are ubiquitous in plastics processing for single-screw extruders and injection molding plasticators due to their low cost to build and their ability to provide a uniform level of dispersive mixing. If the mixer is designed properly, all entering solid polymer fragments and certain types of gels can be trapped and dispersed into the matrix resin. Many mixers that are used commercially, however, provide lower levels of dispersive stress mixing than required by the process and they can degrade polyethylene (PE) resins. This paper will describe the mechanisms that are occurring in a Maddock mixer and develop guidelines for obtaining optimal mixing stresses while mitigating resin degradation.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"4 1","pages":"174 - 189"},"PeriodicalIF":3.1,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87043193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-19DOI: 10.1177/87560879221117533
M. Mughees, M. Sajid, M. Sadiq, H. Shahzad, N. Ali
Coating is a process that improves and enhances life, quality and efficiency of the web. Common industrial adhesive application to board and paper, metal foils polymer coatings, photographic film emulsions, recording films, textile fabrics, paints, coating on food items, medicine, catalogues are common examples. There are many fluids that are used as coatings. This paper analyses blade coating using both plane as well as exponential geometries along with slip and magnetohydrodynamics effects for a Carreau fluid model. To study the blade coating phenomenon, slip is introduced at the blade surface and a magnetic field is applied normal to the fluid flow. The LAT (Lubrication approximation theory) has been introduced to convert governing partial differential equations into a simpler form and a numerical solution is obtained by using shooting method. The significant physical quantities like volumetric flow rate, pressure, velocity, load, coated film thickness and pressure gradient are discussed in detail. The effects of power law index, slip parameter, Weissenberg number and Hartmann number on these physical quantities are presented. The observations are depicted in tabular data and in the graphical form as well. The Weissenberg number and Hartmann number play a very important role in controlling the load and coated film thickness.
{"title":"Blade coating analysis of carreau fluid model with Magnetohydrodynamics and slip effects","authors":"M. Mughees, M. Sajid, M. Sadiq, H. Shahzad, N. Ali","doi":"10.1177/87560879221117533","DOIUrl":"https://doi.org/10.1177/87560879221117533","url":null,"abstract":"Coating is a process that improves and enhances life, quality and efficiency of the web. Common industrial adhesive application to board and paper, metal foils polymer coatings, photographic film emulsions, recording films, textile fabrics, paints, coating on food items, medicine, catalogues are common examples. There are many fluids that are used as coatings. This paper analyses blade coating using both plane as well as exponential geometries along with slip and magnetohydrodynamics effects for a Carreau fluid model. To study the blade coating phenomenon, slip is introduced at the blade surface and a magnetic field is applied normal to the fluid flow. The LAT (Lubrication approximation theory) has been introduced to convert governing partial differential equations into a simpler form and a numerical solution is obtained by using shooting method. The significant physical quantities like volumetric flow rate, pressure, velocity, load, coated film thickness and pressure gradient are discussed in detail. The effects of power law index, slip parameter, Weissenberg number and Hartmann number on these physical quantities are presented. The observations are depicted in tabular data and in the graphical form as well. The Weissenberg number and Hartmann number play a very important role in controlling the load and coated film thickness.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"30 1","pages":"151 - 173"},"PeriodicalIF":3.1,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76453199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/87560879221134858
Shari Kraber
Randomization is essential for success with planned experimentation (DOE) to protect factor effects against bias by lurking variables. For example, consider the 8-run, two-level factorial design shown in Table 1. It lays out the low ( ) and high (+) coded levels of each factor in standard, not random, order. Notice that factor C changes level only once throughout the experiment—first being set at the low (minus) level for four runs, followed by the remaining four runs set at the high (plus) level. Now, let’s say that the humidity in the room increases throughout the day—affecting the measured response. Since the DOE runs are not randomized, the change in humidity biases the calculated effect of the nonrandomized factor C. Therefore, the effect of factor C includes the humidity change – it is no longer purely due to the change from low to high. This will cause analysis problems!
{"title":"Randomization done right","authors":"Shari Kraber","doi":"10.1177/87560879221134858","DOIUrl":"https://doi.org/10.1177/87560879221134858","url":null,"abstract":"Randomization is essential for success with planned experimentation (DOE) to protect factor effects against bias by lurking variables. For example, consider the 8-run, two-level factorial design shown in Table 1. It lays out the low ( ) and high (+) coded levels of each factor in standard, not random, order. Notice that factor C changes level only once throughout the experiment—first being set at the low (minus) level for four runs, followed by the remaining four runs set at the high (plus) level. Now, let’s say that the humidity in the room increases throughout the day—affecting the measured response. Since the DOE runs are not randomized, the change in humidity biases the calculated effect of the nonrandomized factor C. Therefore, the effect of factor C includes the humidity change – it is no longer purely due to the change from low to high. This will cause analysis problems!","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"77 1","pages":"499 - 501"},"PeriodicalIF":3.1,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76643435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/87560879221131869
J. Wagner
: Accelerometry data enables scientists to extract personal digital features that can benefit precision health decision making. Existing methods in accelerometry data analysis typically begin with discretizing summary single-axis counts by certain fixed cutoffs into several activity categories, such as Vigorous, Moderate, Light, and Sedentary. One well-known limitation is that the chosen cutoffs have often been validated with restricted settings, and thus they cannot be generalizable across populations, devices, or studies. In this paper, we develop a data-driven approach to overcome this bot-tleneck in the analysis of activity data, in which we holistically summarize a subject ’ s activity pro-file using Occupation-Time curves (OTCs). Being a functional predictor, OTC describes the percentage of time spent at or above a continuum of activity count levels. We develop multi-step adaptive learning algorithms to perform a supervised learning via a scale-functional regression model that con-tains OTC as the functional predictor of interest as well as other covariates. Our learning algorithm first incorporates a hybrid approach of fused lasso for grouping and Hidden Markov Model for change-point detection, and then executes a few refinement learning steps to yield activity windows of interest. We demonstrate good performances of this learning algorithm using simulations as well as real world data analysis to assess the influence of physical activity on biological aging. Abstract: The of Abstract: Principal component analysis (PCA) is one of the most popular methods for dimension reduction. In light of the rapidly increasing large-scale data in federated ecosystems, the traditional PCA method is often not applicable due to privacy protection considerations and large computational burden. Fast PCA algorithms have been proposed to lower the computational cost but cannot handle federated data. Distributed PCA algorithms have been developed to handle federated data but are not computationally efficient when data at each site are very large. In this paper, we propose the FAst DIstributed (FADI) PCA method which applies fast PCA to site specific data using multiple random sketches and aggregates the results across sites. We perform a non-asymptotic We perform studies and show that We apply Abstract: Sequential process monitoring has broad applications. In practice, process character-istics to monitor often have a high dimensionality, partly due to the fast progress in data acquisition techniques. Thus, statistical process control (SPC) research for monitoring high dimensional processes is in rapid development in recent years. Most existing SPC charts for monitoring high-dimensional processes are designed for conventional cases in which the in-control (IC) process observations at different time points are assumed to be independent and identically distributed. In practice, however, serial correlation almost always exists in the observed sequential data, and the
{"title":"From the Editor","authors":"J. Wagner","doi":"10.1177/87560879221131869","DOIUrl":"https://doi.org/10.1177/87560879221131869","url":null,"abstract":": Accelerometry data enables scientists to extract personal digital features that can benefit precision health decision making. Existing methods in accelerometry data analysis typically begin with discretizing summary single-axis counts by certain fixed cutoffs into several activity categories, such as Vigorous, Moderate, Light, and Sedentary. One well-known limitation is that the chosen cutoffs have often been validated with restricted settings, and thus they cannot be generalizable across populations, devices, or studies. In this paper, we develop a data-driven approach to overcome this bot-tleneck in the analysis of activity data, in which we holistically summarize a subject ’ s activity pro-file using Occupation-Time curves (OTCs). Being a functional predictor, OTC describes the percentage of time spent at or above a continuum of activity count levels. We develop multi-step adaptive learning algorithms to perform a supervised learning via a scale-functional regression model that con-tains OTC as the functional predictor of interest as well as other covariates. Our learning algorithm first incorporates a hybrid approach of fused lasso for grouping and Hidden Markov Model for change-point detection, and then executes a few refinement learning steps to yield activity windows of interest. We demonstrate good performances of this learning algorithm using simulations as well as real world data analysis to assess the influence of physical activity on biological aging. Abstract: The of Abstract: Principal component analysis (PCA) is one of the most popular methods for dimension reduction. In light of the rapidly increasing large-scale data in federated ecosystems, the traditional PCA method is often not applicable due to privacy protection considerations and large computational burden. Fast PCA algorithms have been proposed to lower the computational cost but cannot handle federated data. Distributed PCA algorithms have been developed to handle federated data but are not computationally efficient when data at each site are very large. In this paper, we propose the FAst DIstributed (FADI) PCA method which applies fast PCA to site specific data using multiple random sketches and aggregates the results across sites. We perform a non-asymptotic We perform studies and show that We apply Abstract: Sequential process monitoring has broad applications. In practice, process character-istics to monitor often have a high dimensionality, partly due to the fast progress in data acquisition techniques. Thus, statistical process control (SPC) research for monitoring high dimensional processes is in rapid development in recent years. Most existing SPC charts for monitoring high-dimensional processes are designed for conventional cases in which the in-control (IC) process observations at different time points are assumed to be independent and identically distributed. In practice, however, serial correlation almost always exists in the observed sequential data, and the","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"26 1","pages":"491 - 492"},"PeriodicalIF":3.1,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87152638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-01DOI: 10.1177/87560879221084353
Ayesha Kausar
Graphene is a nano-allotrope of carbon. It is a two dimensional (2D) one atom thick single layer of sp2 hybridized carbon atoms. An important form of graphene is the three dimensional (3D) graphene, also known as graphene nanofoam. This review article précises progress in the field of 3D graphene-based polymeric nanocomposites. The 3D macroscopic graphene nanostructures when used to reinforce polymer matrices attain superior structural and physical properties. This article considers the design, fabrication, characteristics, and promising applications of polymer/graphene nanofoam nanocomposites. The graphene nanofoam and polymer/graphene nanofoam nanocomposites have been prepared through advance approaches. The microstructure, electrical conductivity, specific capacitance, radiation shielding, mechanical properties, and other physical properties of the polymer/graphene nanofoam architectures have been studied. Interactions between the polymers and 3D graphene architecture are essential to enhance the nanocomposite performance. Polymer/graphene nanofoam nanocomposites applications are for solar cells, fuel cells, supercapacitors, and electromagnetic interference (EMI) shielding.
{"title":"Polymer/graphene nanofoam nanocomposites: Properties and potential","authors":"Ayesha Kausar","doi":"10.1177/87560879221084353","DOIUrl":"https://doi.org/10.1177/87560879221084353","url":null,"abstract":"Graphene is a nano-allotrope of carbon. It is a two dimensional (2D) one atom thick single layer of sp2 hybridized carbon atoms. An important form of graphene is the three dimensional (3D) graphene, also known as graphene nanofoam. This review article précises progress in the field of 3D graphene-based polymeric nanocomposites. The 3D macroscopic graphene nanostructures when used to reinforce polymer matrices attain superior structural and physical properties. This article considers the design, fabrication, characteristics, and promising applications of polymer/graphene nanofoam nanocomposites. The graphene nanofoam and polymer/graphene nanofoam nanocomposites have been prepared through advance approaches. The microstructure, electrical conductivity, specific capacitance, radiation shielding, mechanical properties, and other physical properties of the polymer/graphene nanofoam architectures have been studied. Interactions between the polymers and 3D graphene architecture are essential to enhance the nanocomposite performance. Polymer/graphene nanofoam nanocomposites applications are for solar cells, fuel cells, supercapacitors, and electromagnetic interference (EMI) shielding.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"7 1","pages":"542 - 561"},"PeriodicalIF":3.1,"publicationDate":"2022-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90094123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-20DOI: 10.1177/87560879221114650
Dhanapal Duraibabu, S. Kumar, M. Alagar
Tetra functional epoxy resin namely tetraglycidyl 1,4’-bis (4-amine-phenoxy) sulphone benzene epoxy (TGBAPSB) was developed via 1,4’-bis (4-amine-phenoxy) sulphone benzene (BAPSB) and epichlorohydrin. TGBAPSB was reinforced with polyhedral oligomeric silsesquioxane (POSS) nanomaterial in various weight percentages (1–2 wt%) and polyamidoimidazoline (Aradur 140) was used as curing agent. FT-IR results validated the molecular structure of the synthesized POSS. Dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) evaluated the thermo-mechanical and thermal behaviour of TGBAPSB epoxy matrix and its organic-inorganic hybrid epoxy nanocomposites (TGBAPSB/POSS). X-Ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) investigated the surface morphological behaviour of the organic-inorganic hybrid epoxy nanocomposites. TGBAPSB epoxy resin with optimized POSS reinforcement exhibited excellent thermo-mechanical, thermal, mechanical, dielectric, and water absorption properties, making it a suitable material for advanced high-performance applications.
{"title":"Tetra functional epoxy/polyhedral oligomeric silsesquioxane (POSS) nanocomposites with enhanced mechanical, thermal, anticorrosion and dielectric properties","authors":"Dhanapal Duraibabu, S. Kumar, M. Alagar","doi":"10.1177/87560879221114650","DOIUrl":"https://doi.org/10.1177/87560879221114650","url":null,"abstract":"Tetra functional epoxy resin namely tetraglycidyl 1,4’-bis (4-amine-phenoxy) sulphone benzene epoxy (TGBAPSB) was developed via 1,4’-bis (4-amine-phenoxy) sulphone benzene (BAPSB) and epichlorohydrin. TGBAPSB was reinforced with polyhedral oligomeric silsesquioxane (POSS) nanomaterial in various weight percentages (1–2 wt%) and polyamidoimidazoline (Aradur 140) was used as curing agent. FT-IR results validated the molecular structure of the synthesized POSS. Dynamic mechanical analysis (DMA) and thermogravimetric analysis (TGA) evaluated the thermo-mechanical and thermal behaviour of TGBAPSB epoxy matrix and its organic-inorganic hybrid epoxy nanocomposites (TGBAPSB/POSS). X-Ray diffraction (XRD), scanning electron microscopy (SEM), and transmission electron microscopy (TEM) investigated the surface morphological behaviour of the organic-inorganic hybrid epoxy nanocomposites. TGBAPSB epoxy resin with optimized POSS reinforcement exhibited excellent thermo-mechanical, thermal, mechanical, dielectric, and water absorption properties, making it a suitable material for advanced high-performance applications.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"124 1","pages":"52 - 79"},"PeriodicalIF":3.1,"publicationDate":"2022-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88074392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-18DOI: 10.1177/87560879221113638
M. Zahid, I. Siddique, Rifaqat Ali
In this paper, a mathematical model of forward roll for coating a thin viscoplastic fluid onto a moving porous web is developed when the web passes through a small gap between the two rigid rolls. The conservation equations in the light of lubrication approximation theory are non-dimensionalized and solutions for the velocity profile, flow rate, pressure distribution are calculated numerically by using Range-Kutta-Fehlberg’s method. It is found that by changing (increasing/decreasing) the material parameters, one can really control the engineering quantities like velocity distribution, flow rate, pressure distribution, and penetration depth The velocity graphs show that the gap between the velocity curves decrease, as fluid moves toward the separation point. This has a significant effect on the final volume of fluid flowing as at the separation point the fluid splits evenly. It was also found that the degree of fluid penetration is affected by the web flexibility and permeability. It has also been found that viscoelastic parameter and ratio of viscous to elastic forces have great impact on the emerging parameters, furthermore, the pressure gradient has been significantly affected with the variation in permeability and deformability. It is worth mentioning that the present study is a quick reference for the engineer working in coating industries and to compare the results with experimental data. Some results are shown graphically.
{"title":"Coating of a viscoplastic material onto a moving porous web during forward roll coating process: A theoretical study","authors":"M. Zahid, I. Siddique, Rifaqat Ali","doi":"10.1177/87560879221113638","DOIUrl":"https://doi.org/10.1177/87560879221113638","url":null,"abstract":"In this paper, a mathematical model of forward roll for coating a thin viscoplastic fluid onto a moving porous web is developed when the web passes through a small gap between the two rigid rolls. The conservation equations in the light of lubrication approximation theory are non-dimensionalized and solutions for the velocity profile, flow rate, pressure distribution are calculated numerically by using Range-Kutta-Fehlberg’s method. It is found that by changing (increasing/decreasing) the material parameters, one can really control the engineering quantities like velocity distribution, flow rate, pressure distribution, and penetration depth The velocity graphs show that the gap between the velocity curves decrease, as fluid moves toward the separation point. This has a significant effect on the final volume of fluid flowing as at the separation point the fluid splits evenly. It was also found that the degree of fluid penetration is affected by the web flexibility and permeability. It has also been found that viscoelastic parameter and ratio of viscous to elastic forces have great impact on the emerging parameters, furthermore, the pressure gradient has been significantly affected with the variation in permeability and deformability. It is worth mentioning that the present study is a quick reference for the engineer working in coating industries and to compare the results with experimental data. Some results are shown graphically.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"75 1","pages":"19 - 51"},"PeriodicalIF":3.1,"publicationDate":"2022-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86133931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-07-13DOI: 10.1177/87560879221111820
Alia Hanif, Z. Abbas, S. Khaliq
In this paper, the incompressible and isothermal flow of Sutterby fluid is investigated during the forward roll coating process. The mass and momentum equations are non-dimensionalized and simplified using lubrication approximation theory (LAT). Perturbative results are obtained for the velocity, pressure gradient, flow rate, and shear stress, while coating thickness, maximum pressure, separating point, roll separating force and roll-transmitted power are found by Simpson’s 3/8 rule. Outcomes exhibit that velocity, pressure gradient and coating thickness are substantially influenced by the non-Newtonian fluid parameter, which may increase the coating efficiency. Also, power input and roll separating force is directly proportional to the non-Newtonian parameter.
{"title":"Rheological impact of Sutterby fluid in isothermal forward roll coating process: a theoretical study","authors":"Alia Hanif, Z. Abbas, S. Khaliq","doi":"10.1177/87560879221111820","DOIUrl":"https://doi.org/10.1177/87560879221111820","url":null,"abstract":"In this paper, the incompressible and isothermal flow of Sutterby fluid is investigated during the forward roll coating process. The mass and momentum equations are non-dimensionalized and simplified using lubrication approximation theory (LAT). Perturbative results are obtained for the velocity, pressure gradient, flow rate, and shear stress, while coating thickness, maximum pressure, separating point, roll separating force and roll-transmitted power are found by Simpson’s 3/8 rule. Outcomes exhibit that velocity, pressure gradient and coating thickness are substantially influenced by the non-Newtonian fluid parameter, which may increase the coating efficiency. Also, power input and roll separating force is directly proportional to the non-Newtonian parameter.","PeriodicalId":16823,"journal":{"name":"Journal of Plastic Film & Sheeting","volume":"56 1","pages":"115 - 133"},"PeriodicalIF":3.1,"publicationDate":"2022-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86884010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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