A Combined Data Science and Simulation-Based Methodology for Efficient and Economic Prediction of Thermoplastic Performance for Automotive Industry
JL Thambi, SS Mohapatra, VJ Kavalakkat… - 2023 - sae.org
There are significant predictive tool usages by design engineers in automotive industry to
capture material composition and manufacturing process-induced variables. In specific, an …
capture material composition and manufacturing process-induced variables. In specific, an …
[图书][B] Data-Driven Modeling Implementation Within Materials Development and Manufacturing Systems
AJ Román - 2023 - search.proquest.com
Predicting polymeric material behavior during processing and predicting final part properties
continues to be a strong research focus within the scientific community as it involves taking …
continues to be a strong research focus within the scientific community as it involves taking …
Material characterization and FEA correlation for engineering thermoplastics under high strain loading
V Nagaswamy, T Goral - 1999 - sae.org
As a result of the increased reliance on predictive engineering to reduce vehicle
development resources, increasingly accurate predictive finite element models are important …
development resources, increasingly accurate predictive finite element models are important …
[HTML][HTML] Predicting Material Properties of Additively Manufactured Acrylonitrile Butadiene Styrene via a Multiscale Analysis Process
Additive manufacturing (AM) has inherent mechanical strength inconsistencies when the
build orientation changes. To address this issue, theoretical models, including analytical and …
build orientation changes. To address this issue, theoretical models, including analytical and …
Optimization of injection‐molding process for mechanical properties of polypropylene components via a generalized regression neural network
JR Shie - Polymers for Advanced Technologies, 2008 - Wiley Online Library
This study analyzed contour distortions, wear and tensile properties of polypropylene (PP)
components applied in the interior coffer of automobiles. A hybrid method integrating a …
components applied in the interior coffer of automobiles. A hybrid method integrating a …
Options in Mechanical Characterization of Engineering Thermoplastics for More Effective Material Modeling Practices
D Woodman - 1997 - sae.org
Despite their high volume of usage, polymers are barely a century old and as such are still a
relatively new class of engineering materials. However, plastics are increasingly being used …
relatively new class of engineering materials. However, plastics are increasingly being used …
Process-Structure-Property-Performance Modeling for Semicrystalline Thermoplastics and Composites
T Stepanova - 2024 - tigerprints.clemson.edu
With a growing focus on reducing the adverse effects of transportation on the environment,
industries are seeking fuel-efficient and sustainable solutions. Fuel efficiency can be …
industries are seeking fuel-efficient and sustainable solutions. Fuel efficiency can be …
[PDF][PDF] Integrated Approach at the Process-Property-Performance Nexus to Characterizing Process-Induced Properties and Behavior of Additively Manufactured …
AS El-Gizawy, AA Melaibari, G Youssef - J Adv Mater Sci Eng, 2024 - scivisionpub.com
Material extrusion (MEX) is an additive manufacturing process to fabricate prototypes using
thermoplastic polymers. As this additive manufacturing technology continues to mature from …
thermoplastic polymers. As this additive manufacturing technology continues to mature from …
Learning quality characteristics for plastic injection molding processes using a combination of simulated and measured data
F Finkeldey, J Volke, JC Zarges, HP Heim… - Journal of Manufacturing …, 2020 - Elsevier
During the initial sampling of injection molds, the determination of suitable process
parameter values to achieve a desired quality of the resulting parts, can be a time …
parameter values to achieve a desired quality of the resulting parts, can be a time …
[HTML][HTML] Comparison and review of classical and machine learning-based constitutive models for polymers used in aeronautical thermoplastic composites
S Ling, Z Wu, J Mei - Reviews on Advanced Materials Science, 2023 - degruyter.com
Most of the stress–strain relationships of thermoplastic polymers for aeronautical composites
tend to be nonlinear and sensitive to strain rate and temperature, so accurate constitutive …
tend to be nonlinear and sensitive to strain rate and temperature, so accurate constitutive …