Data characterizing tensile behavior of cenosphere/HDPE syntactic foam
B R Bharath Kumar1, Mrityunjay Doddamani1, Steven E Zeltmann2
1Lightweight Materials Laboratory, Department of Mechanical Engineering, National Institute of Technology Karnataka, Surathkal, India.
Data in Brief
|March 4, 2016
Summary
This study explores using industrial polymer injection molding for cenosphere/high-density polyethylene syntactic foams. The research details processing, theoretical property estimation, and microstructure analysis for these advanced composite materials.
Area of Science:
- Materials Science
- Polymer Engineering
- Composite Materials
Background:
- Syntactic foams offer tunable properties for various applications.
- Cenospheres, hollow ceramic microspheres, are potential reinforcing agents.
- Industrial-scale polymer injection molding (PIM) presents an opportunity for efficient syntactic foam production.
Purpose of the Study:
- To assess the feasibility of fabricating cenosphere-reinforced high-density polyethylene (HDPE) syntactic foams using an industrial PIM machine.
- To investigate the microstructure and tensile properties of the fabricated syntactic foams.
- To develop theoretical models for estimating cenosphere properties and optimizing the PIM process.
Main Methods:
- Utilized an industrial-scale polymer injection molding machine for composite fabrication.
- Conducted microstructural analysis of syntactic foams.
- Performed tensile testing to evaluate mechanical performance.
- Developed theoretical equations for cenosphere property estimation.
Main Results:
- Demonstrated the successful fabrication of cenosphere/HDPE syntactic foams via PIM.
- Characterized the microstructure of the foams, including pre- and post-failure analysis.
- Provided a dataset of theoretical estimates for cenosphere properties.
- Established relationships between processing parameters and foam properties.
Conclusions:
- Industrial PIM is a viable method for producing cenosphere-reinforced HDPE syntactic foams.
- The study provides valuable data for optimizing syntactic foam manufacturing and property prediction.
- Understanding microstructure-property relationships is crucial for designing high-performance syntactic foams.
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