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The analysis of polymer processing operations is a wide and complex subject; during polymer processing, viscoelastic fluids are forced to deform into desired geometries using non-homogeneous velocity and temperature fields down to solidification. The objective of analysis is the identification of processing conditions, which are finalized in the optimization of product final properties, which, in turn, are determined by the final part morphology. Depending on the operating conditions, the properties of the final part can change more than one order of magnitude. Properties of interest include the mechanical, optical, barrier, permeability, and biodegradability, and any other property of practical relevance including the characteristics of the surfaces as its finishing and wettability, which are connected to one another. The scope of this Special Issue is to select progress in or reviews of the understanding/description of the phenomena involved along the chain of processing–morphology–properties. Along this virtual chain, modeling may be a useful approach, and within the objective of understanding fundamental aspects, it may also be relevant to compare selected characteristics of the process and the material with the characteristics of the resulting morphology and then with the properties of the final part. This approach suggests the title: “Polymer Processing: Modeling and Correlations Finalized to Tailoring the Plastic Part Morphology and Properties”.
History of engineering & technology --- “skin-core-skin” structure --- flow-induced crystallization --- multiscale simulation --- crystal morphology --- additive manufacturing --- fused filament fabrication --- material extrusion --- 3D-printing --- highly-filled polymers --- metals and ceramics --- cellulose insulation pressboard --- magnetron sputtering --- polytetrafluoroethylene --- nano structure --- breakdown --- hydrophobicity --- replication --- microfeature --- nanofeature --- injection molding --- polylactic acid --- mold temperature --- epoxy --- natural fiber composites --- silk fibers --- extrusion --- four-screw extruder --- finite-time Lyapunov exponents (FTLE) --- Poincaré section --- chaotic manifold --- uniaxial/biaxial stretching --- retardation --- birefringence --- molecular orientation --- stress-optical rule --- polymeric stent --- residual stress --- warpage --- kriging surrogate model --- design optimization --- morphology --- cylindrites --- numerical simulation --- morphology prediction --- shear layer --- twin screw extruder --- simulation --- residence time distribution --- PP/TiO2 nanocomposites --- conversion --- laser-assisted thermal imprinting --- pressure --- pattern size --- thermoplastic polymer --- microlens array --- microinjection molding --- film stretching --- composite laminates
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Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.
History of engineering & technology --- product service system (PSS) --- availability --- field repair kit --- gradient-based algorithm --- robust genetic algorithm --- warpage --- design of experiments --- fringe pattern --- birefringence --- automatic design --- intelligent optimization method --- CFD --- fluid machinery --- pumps --- multi-function console --- data-driven design --- mismatch equation --- anthropometric measures --- algorithmic approach --- optimal design --- stretchable antenna-based strain sensor --- structural optimization --- structural health monitoring --- dimension reduction --- entropy-based correlation coefficient --- multidisciplinary design and analysis --- uncertainty-integrated and machine learning-based surrogate modeling --- additive manufacturing --- complexity --- modular design --- part consolidation --- product recovery --- product image design --- Kansei Engineering --- integrated decision system --- qualitative decision model --- quantitative decision model --- train seats --- measurement-assisted assembly --- coordination space --- assemblability --- small displacement torsor --- Kriging --- lower confidence bounding --- entropy theory --- product design --- simulation-based design optimization --- convolutional neural network --- object detection --- piping and instrument diagram --- unsupervised learning --- n/a
Choose an application
The analysis of polymer processing operations is a wide and complex subject; during polymer processing, viscoelastic fluids are forced to deform into desired geometries using non-homogeneous velocity and temperature fields down to solidification. The objective of analysis is the identification of processing conditions, which are finalized in the optimization of product final properties, which, in turn, are determined by the final part morphology. Depending on the operating conditions, the properties of the final part can change more than one order of magnitude. Properties of interest include the mechanical, optical, barrier, permeability, and biodegradability, and any other property of practical relevance including the characteristics of the surfaces as its finishing and wettability, which are connected to one another. The scope of this Special Issue is to select progress in or reviews of the understanding/description of the phenomena involved along the chain of processing–morphology–properties. Along this virtual chain, modeling may be a useful approach, and within the objective of understanding fundamental aspects, it may also be relevant to compare selected characteristics of the process and the material with the characteristics of the resulting morphology and then with the properties of the final part. This approach suggests the title: “Polymer Processing: Modeling and Correlations Finalized to Tailoring the Plastic Part Morphology and Properties”.
History of engineering & technology --- “skin-core-skin” structure --- flow-induced crystallization --- multiscale simulation --- crystal morphology --- additive manufacturing --- fused filament fabrication --- material extrusion --- 3D-printing --- highly-filled polymers --- metals and ceramics --- cellulose insulation pressboard --- magnetron sputtering --- polytetrafluoroethylene --- nano structure --- breakdown --- hydrophobicity --- replication --- microfeature --- nanofeature --- injection molding --- polylactic acid --- mold temperature --- epoxy --- natural fiber composites --- silk fibers --- extrusion --- four-screw extruder --- finite-time Lyapunov exponents (FTLE) --- Poincaré section --- chaotic manifold --- uniaxial/biaxial stretching --- retardation --- birefringence --- molecular orientation --- stress-optical rule --- polymeric stent --- residual stress --- warpage --- kriging surrogate model --- design optimization --- morphology --- cylindrites --- numerical simulation --- morphology prediction --- shear layer --- twin screw extruder --- simulation --- residence time distribution --- PP/TiO2 nanocomposites --- conversion --- laser-assisted thermal imprinting --- pressure --- pattern size --- thermoplastic polymer --- microlens array --- microinjection molding --- film stretching --- composite laminates
Choose an application
Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.
History of engineering & technology --- product service system (PSS) --- availability --- field repair kit --- gradient-based algorithm --- robust genetic algorithm --- warpage --- design of experiments --- fringe pattern --- birefringence --- automatic design --- intelligent optimization method --- CFD --- fluid machinery --- pumps --- multi-function console --- data-driven design --- mismatch equation --- anthropometric measures --- algorithmic approach --- optimal design --- stretchable antenna-based strain sensor --- structural optimization --- structural health monitoring --- dimension reduction --- entropy-based correlation coefficient --- multidisciplinary design and analysis --- uncertainty-integrated and machine learning-based surrogate modeling --- additive manufacturing --- complexity --- modular design --- part consolidation --- product recovery --- product image design --- Kansei Engineering --- integrated decision system --- qualitative decision model --- quantitative decision model --- train seats --- measurement-assisted assembly --- coordination space --- assemblability --- small displacement torsor --- Kriging --- lower confidence bounding --- entropy theory --- product design --- simulation-based design optimization --- convolutional neural network --- object detection --- piping and instrument diagram --- unsupervised learning --- n/a
Choose an application
The analysis of polymer processing operations is a wide and complex subject; during polymer processing, viscoelastic fluids are forced to deform into desired geometries using non-homogeneous velocity and temperature fields down to solidification. The objective of analysis is the identification of processing conditions, which are finalized in the optimization of product final properties, which, in turn, are determined by the final part morphology. Depending on the operating conditions, the properties of the final part can change more than one order of magnitude. Properties of interest include the mechanical, optical, barrier, permeability, and biodegradability, and any other property of practical relevance including the characteristics of the surfaces as its finishing and wettability, which are connected to one another. The scope of this Special Issue is to select progress in or reviews of the understanding/description of the phenomena involved along the chain of processing–morphology–properties. Along this virtual chain, modeling may be a useful approach, and within the objective of understanding fundamental aspects, it may also be relevant to compare selected characteristics of the process and the material with the characteristics of the resulting morphology and then with the properties of the final part. This approach suggests the title: “Polymer Processing: Modeling and Correlations Finalized to Tailoring the Plastic Part Morphology and Properties”.
“skin-core-skin” structure --- flow-induced crystallization --- multiscale simulation --- crystal morphology --- additive manufacturing --- fused filament fabrication --- material extrusion --- 3D-printing --- highly-filled polymers --- metals and ceramics --- cellulose insulation pressboard --- magnetron sputtering --- polytetrafluoroethylene --- nano structure --- breakdown --- hydrophobicity --- replication --- microfeature --- nanofeature --- injection molding --- polylactic acid --- mold temperature --- epoxy --- natural fiber composites --- silk fibers --- extrusion --- four-screw extruder --- finite-time Lyapunov exponents (FTLE) --- Poincaré section --- chaotic manifold --- uniaxial/biaxial stretching --- retardation --- birefringence --- molecular orientation --- stress-optical rule --- polymeric stent --- residual stress --- warpage --- kriging surrogate model --- design optimization --- morphology --- cylindrites --- numerical simulation --- morphology prediction --- shear layer --- twin screw extruder --- simulation --- residence time distribution --- PP/TiO2 nanocomposites --- conversion --- laser-assisted thermal imprinting --- pressure --- pattern size --- thermoplastic polymer --- microlens array --- microinjection molding --- film stretching --- composite laminates
Choose an application
Recent advancements in computer technology have allowed for designers to have direct control over the production process through the help of computer-based tools, creating the possibility of a completely integrated design and manufacturing process. Over the last few decades, "artificial intelligence" (AI) techniques, such as machine learing and deep learning, have been topics of interest in computer-based design and manufacturing research fields. However, efforts to develop computer-based AI to handle big data in design and manufacturing have not yet been successful. This Special Issue aims to collect novel articles covering artificial intelligence-based design, manufacturing, and data-driven design. It will comprise academics, researchers, mechanical, manufacturing, production and industrial engineers and professionals related to engineering design and manufacturing.
product service system (PSS) --- availability --- field repair kit --- gradient-based algorithm --- robust genetic algorithm --- warpage --- design of experiments --- fringe pattern --- birefringence --- automatic design --- intelligent optimization method --- CFD --- fluid machinery --- pumps --- multi-function console --- data-driven design --- mismatch equation --- anthropometric measures --- algorithmic approach --- optimal design --- stretchable antenna-based strain sensor --- structural optimization --- structural health monitoring --- dimension reduction --- entropy-based correlation coefficient --- multidisciplinary design and analysis --- uncertainty-integrated and machine learning-based surrogate modeling --- additive manufacturing --- complexity --- modular design --- part consolidation --- product recovery --- product image design --- Kansei Engineering --- integrated decision system --- qualitative decision model --- quantitative decision model --- train seats --- measurement-assisted assembly --- coordination space --- assemblability --- small displacement torsor --- Kriging --- lower confidence bounding --- entropy theory --- product design --- simulation-based design optimization --- convolutional neural network --- object detection --- piping and instrument diagram --- unsupervised learning --- n/a
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