scholarly journals Highly entangled polymer primitive chain network simulations based on dynamic tube dilation

2004 ◽  
Vol 121 (24) ◽  
pp. 12650 ◽  
Author(s):  
Takatoshi Yaoita ◽  
Takeharu Isaki ◽  
Yuichi Masubuchi ◽  
Hiroshi Watanabe ◽  
Giovanni Ianniruberto ◽  
...  
Keyword(s):  
Network Simulations ◽  
Entangled Polymer

Erratum: “Highly entangled polymer primitive chain network simulations based on dynamic tube dilation” [J. Chem. Phys. 121, 12650 (2004)]

2005 ◽  
Vol 122 (20) ◽  
pp. 209902
Author(s):  
Takatoshi Yaoita ◽  
Takeharu Isaki ◽  
Yuichi Masubuchi ◽  
Hiroshi Watanabe ◽  
Giovanni Ianniruberto ◽  
...  
Keyword(s):  
Chem Phys ◽  
Network Simulations ◽  
Entangled Polymer

scholarly journals Structure of entangled polymer network from primitive chain network simulations

2010 ◽  
Vol 132 (13) ◽  
pp. 134902 ◽  
Author(s):  
Yuichi Masubuchi ◽  
Takashi Uneyama ◽  
Hiroshi Watanabe ◽  
Giovanni Ianniruberto ◽  
Francesco Greco ◽  
...  
Keyword(s):  
Polymer Network ◽  
Network Simulations ◽  
Entangled Polymer

Entangled polymer orientation and stretch under large step shear deformations in primitive chain network simulations

2008 ◽  
Vol 47 (5-6) ◽  
pp. 591-599 ◽  
Author(s):  
Kenji Furuichi ◽  
Chisato Nonomura ◽  
Yuichi Masubuchi ◽  
Hiroshi Watanabe ◽  
Giovanni Ianniruberto ◽  
...  
Keyword(s):  
Shear Deformations ◽  
Large Step ◽  
Network Simulations ◽  
Entangled Polymer

scholarly journals Microfluidic Network Simulations Enable On-Demand Prediction of Control Parameters for Operating Lab-On-A-Chip-Devices

Processes ◽  
2021 ◽  
Vol 9 (8) ◽  
pp. 1320
Author(s):  
Julia Sophie Böke ◽  
Daniel Kraus ◽  
Thomas Henkel
Keyword(s):  
Fluid Management ◽  
Lab On A Chip ◽  
Microfluidic System ◽  
Flow Rates ◽  
Demand Prediction ◽  
Fast Running ◽  
Microfluidic Network ◽  
Fluid Properties ◽  
Network Simulations ◽  
User Friendly

Reliable operation of lab-on-a-chip systems depends on user-friendly, precise, and predictable fluid management tailored to particular sub-tasks of the microfluidic process protocol and their required sample fluids. Pressure-driven flow control, where the sample fluids are delivered to the chip from pressurized feed vessels, simplifies the fluid management even for multiple fluids. The achieved flow rates depend on the pressure settings, fluid properties, and pressure-throughput characteristics of the complete microfluidic system composed of the chip and the interconnecting tubing. The prediction of the required pressure settings for achieving given flow rates simplifies the control tasks and enables opportunities for automation. In our work, we utilize a fast-running, Kirchhoff-based microfluidic network simulation that solves the complete microfluidic system for in-line prediction of the required pressure settings within less than 200 ms. The appropriateness of and benefits from this approach are demonstrated as exemplary for creating multi-component laminar co-flow and the creation of droplets with variable composition. Image-based methods were combined with chemometric approaches for the readout and correlation of the created multi-component flow patterns with the predictions obtained from the solver.

Relaxation dynamics of entangled polymer liquids in steady shear flow

2003 ◽  
Vol 47 (2) ◽  
pp. 469-482 ◽  
Author(s):  
Javier Sanchez-Reyes ◽  
Lynden A. Archer
Keyword(s):  
Shear Flow ◽  
Steady Shear ◽  
Relaxation Dynamics ◽  
Steady Shear Flow ◽  
Polymer Liquids ◽  
Entangled Polymer
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