SOS Modeling, Simulation and Analysis (MS&A) Applications

**References**

pdf., Jan 11, 2011.

Corporation, 2016.

16, 2013.

[1] Fact Sheet: Resilience of Space Capabilities. Department of Defense. https://www.defense.gov/Portals/1/ features/2011/0111\_nsss/docs/DoD% 20Fact%20Sheet%20-%20Resilience.

*Systems-of-Systems Perspectives and Applications - Design, Modeling, Simulation…*

Dynamic Communication Link Margin and Availability," Math-597 Final Report, 18 May 2018, California State

University in Fullerton.

[8] Thomas Freeze and Scott Digiambattista, "SOSE Spectrum Resiliency Assessment Index (SRAI) and Resilient Capacity (RC) Modeling: Modeling of SRAI and RC Against RFI

Threats for Space-Based SOSE Applications with Dynamic Communication Link Margin and Availability," Math-597 Final Report, 18 May 2018, California State University in

Fullerton.

[2] McLeod, Gary. Nacouzi, George. Dreyer, Paul. Eisman, Mel. Hura, Myron. Langeland, Krista S. Manheim, David. Torrington, Geoffrey. Enhancing Space Resilience Through Non-Material Means. Santa Monica, CA, RAND

[3] Edlund, Gregory Military Space Resiliency: Definition, Measurement and Application. Northrop Grumman Aerospace Systems Case 13–1828, Sept.

[4] Tien M. Nguyen, "Systems-of-Systems Enterprise CONOPS

Intech|Open Publisher, September 2020.

State University in Fullerton.

Enterprise (SOSE) Resilience Assessment Index (RAI) Modeling - Modeling of RAI Against Radio Frequency Interference (RAI-RFI) for Ground-Based SOSE Applications with

**94**

[7] Nicole Hemming-Schroeder and Catherine Osborne, "System-of-Systems

Assessment and Spectrum Resiliency Modeling," Lecture Notes, 2017–2018.

[5] Tien M. Nguyen, Book Chapter titled "SOS Enterprise, SOSE CONOPS, SOSE Architecture Design Approach: A Perspective on Space and Airborne Systems," to be published in the Book titled "Systems-of-Systems Engineering, Modeling, Simulation and Analysis,"

[6] Lauren Benson, Jordan Golemo, and Maria Heinze, "System-of-Systems Enterprise (SOSE) Modeling - SOSE Databases, Data Management and Orbital Dynamics Modeling," Math-597 Final Report, 18 May 2018, California

**Chapter 6**

**Abstract**

**1. Introduction**

**97**

Chapter Review on Computer

A System of Systems Perspective

This chapter discusses an approach for process simulation in the design of melt

spinning process for finding optimal design parameters concerning spinneret, quench air unit and other technical parameters for maximum throughput and quality. The property of as-spun fiber is a function of structural parameters at a given condition and orientation of the structural parameter and it is highly governed by stress level at freeze line. Thus, to define structural property and associated relationship, it requires to identify the process to control the variables (or factors) that affect the structural parameter as well as final fiber property. In addition, this chapter also provides a System-of-Systems (SOS) perspective on melt spinning process and its computer modeling along with mathematical equations for estimating spinline stress with a change in process variables. The spinline stress will be used as an input for a computer simulation to have process optimization by

**Keywords:** melt spinning, system-of-systems, poly ethylene terephthalate,

velocity; this cause the final cross-sectional area is considerably smaller

Modeling and Simulation (M&S) have become important tools for evaluating and scheming a melt spinning in a comprehensive arrangement of disciplines fluctuating from fiber spinning and engineering to melt spinning [1]. For example, in engineering scheme, modeling the parameters and simulation used to evaluate the effectiveness of a melt spinning process concept, verify whether all the functional design specifications are meet, or suggest modifications for improving the manufacturability of a product [2]. Melt spinning processes are considered as a systemof-systems process based on the thermoplastic polymer processing method as shown in **Figure 1** [3]. For this process a system is required to ensure the polymer is melted above its melting temperature, and the melted polymer is then transported to another system where it is metered for constant mass through a spinneret into a quench air stream blowing across the spinline [4]. The Spinline-and-Free-line" forming can be considered as another system that is used to form spinline, cool and finally solidify at a distance from the spinneret called 'freeze- line' [5]. The solidified polymer filament is winding at a speed significantly greater than the extrusion

Simulation of Melt Spinning:

*Derseh Yilie Limeneh and Kelem Tiessasie Yilma*

changing the necessary variables until it optimized.

simulation, process parameters, process optimization

## **Chapter 6**
