Browse Topic: Polymers
Foam material models for automotive structural analysis typically require tensile and compressive data at multiple strain rates. The testing is costly and may require a long time to complete. For many applications, foams of similar chemistry are used and the foam structural responses, such as stiffness and compression force deflection, are controlled by the foam density. In such cases, Machine Learning (ML) lends itself as an ideal tool to detect the trends in material response based on density and strain rate. In this paper, two sets of polyurethane (PU) foams of different densities were tested at four strain rates ranging from 0.01/s to 100/s. ML models capable of predicting compressive stress-strain response for a range of densities were developed. The models demonstrated good prediction capability for intermediate strain rates at all foam densities and in extrapolating stress-strain curves at higher densities at all strain rates. The strain rate trends for density outside of the
This specification covers a 100% homopolymer of polychlorotrifluoroethylene (PCTFE) in the form of molded sheet 0.250 inch (6.35 mm) and under in nominal thickness.
This specification covers a 100% homopolymer of polychlorotrifluoroethylene (PCTFE) in the form of sheet 0.250 inch (6.35 mm) and over in thickness, rod, heavy wall tubing, and large molded and machined parts.
This specification covers a 100% homopolymer of polychlorotrifluoroethylene (PCTFE) in the form of rods, sheets, and molded shapes.
This specification covers a standard acrylonitrile butadiene (NBR-H) rubber stock with medium-high acrylonitrile content in the form of molded test slabs.
The scope of this document is to define a test method for performing the Compression Stress Relaxation (CSR) Test with the Automotive Standard (ASD) or HP CSR Jig using the appropriate test fixtures, configurations, and procedures. This standard defines the equipment needed, guidelines for running the test, and the format for generating the results and analyzing the data.
This SAE Recommended Practice provides a system for marking thermoset rubber parts to designate the general type of material from which the part was fabricated.
AMS3217/7C has been declared “STABILIZED” by SAE AMS Committee AMS CE Elastomers and will no longer be subjected to periodic reviews for currency. Users are responsible for verifying references and continued suitability of technical requirements. Newer technology may exist.
Auburn University's Applied Research Institute in Huntsville is adding some serious fiber to its diet. Auburn University, Auburn, AL In collaboration with Auburn University's Center for Polymers and Advanced Composites (CPAC) and the Department of Aerospace Engineering, the institute recently acquired a CF3D Enterprise Cell - a next-generation 3D carbon fiber composites printer set to define the future of the nation's hypersonic programs. Developed by Idaho-based Continuous Composites, the CF3D system represents a highly specialized advanced manufacturing capability and is the only system of its kind currently operating in Alabama.
The rising importance of sustainability in the automotive sector has led to increased interest in circular and environmentally responsible materials, particularly for plastic trims parts, both interior and exterior. This study focuses on developing textile solutions using recycled polyethylene terephthalate (r-PET) sourced from post-consumer plastic waste, along with bio-based fibres such as bamboo. These materials made into woven and knitted fabrics are studied to suit different vehicle interior applications. r-PET textiles show promising strength, aesthetic appeal, and durability performance. Bamboo fabrics are known for their natural antimicrobial properties and enhanced breathability. Extensive testing is performed to validate explored sustainable materials performance against key automotive requirements. With this study, we gain an understanding of the performance of variedly sourced sustainable raw materials for automotive specific textile applications by different manufacturing
The increasing adoption of electric vehicles (EVs) has intensified the demand for advanced elastomeric materials capable of meeting stringent noise, vibration and harshness (NVH) requirements. Unlike internal combustion engine (ICE) vehicles, EVs lack traditional masking noise generated by the powertrain. In the automotive industry, the dynamic stiffness of elastomers in internal combustion engines has traditionally been determined using hydraulic test rigs, with test frequencies limited to a maximum of 1,000 Hz. Measurements above this frequency range have not been possible and are conducted only through computerized FE or CAE calculation models. Electric drive systems, however, generate distinct tonal noise components in the high-frequency range up to 10,000 Hz, which are clearly perceptible even at low sound pressure levels. Consequently, the dynamic stiffness characteristics of elastomers up to 3,000 Hz are critical for optimizing NVH performance in EVs. This study focuses on high
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