Implementation of New Process Models for Tailored Polymer Composite Structures into Processing Software Packages

Nguyen, Ba Nghiep ; Jin, Xiaoshi ; Wang, Jin ; Phelps, Jay ; Tucker III, Charles L. ; Kunc, Vlastimil ; Bapanapalli, Satish K. ; Smith, Mark T.

关键词: CLOSURES;    DIFFUSION;    DISTRIBUTION;    FIBERS;    IMPLEMENTATION;    KINETICS;    ORIENTATION;    POLYMERS;    PROCESSING;    SIMULATION;    STANDARD MODEL;    STRAINS;    THERMOPLASTICS Injection molding;    long fiber thermoplastics;    proces;   

DOI  :  10.2172/973410
RP-ID  :  PNNL-19185
PID  :  OSTI ID: 973410
Others  :  Other: VT0505000
Others  :  TRN: US1001916

学科分类：物理（综合）

美国|英语

来源: SciTech Connect

【 摘 要 】

This report describes the work conducted under the Cooperative Research and Development Agreement (CRADA) (Nr. 260) between the Pacific Northwest National Laboratory (PNNL) and Autodesk, Inc. to develop and implement process models for injection-molded long-fiber thermoplastics (LFTs) in processing software packages. The structure of this report is organized as follows. After the Introduction Section (Section 1), Section 2 summarizes the current fiber orientation models developed for injection-molded short-fiber thermoplastics (SFTs). Section 3 provides an assessment of these models to determine their capabilities and limitations, and the developments needed for injection-molded LFTs. Section 4 then focuses on the development of a new fiber orientation model for LFTs. This model is termed the anisotropic rotary diffusion - reduced strain closure (ARD-RSC) model as it explores the concept of anisotropic rotary diffusion to capture the fiber-fiber interaction in long-fiber suspensions and uses the reduced strain closure method of Wang et al. to slow down the orientation kinetics in concentrated suspensions. In contrast to fiber orientation modeling, before this project, no standard model was developed to predict the fiber length distribution in molded fiber composites. Section 5 is therefore devoted to the development of a fiber length attrition model in the mold. Sections 6 and 7 address the implementations of the models in AMI, and the conclusions drawn from this work is presented in Section 8.