About this Candidate
DAVRON CV: Candidate 3809152
POLYMER & MATERIALS R&D ENGINEER | COMPOSITES, ELASTOMERS & PROCESS MODELING
Core Expertise
- Composite process modeling and cure-cycle design for autoclave and RTM operations across production and R&D.
- Polymer formulation and elastomer compound development across NBR, XNBR, HNBR, EPDM, and natural rubber systems.
- Instrumentation and automated test systems development, including LabVIEW-controlled high-throughput platforms.
- Predictive modeling, data analysis, and automation using Python, MATLAB, Abaqus scripting, and DOE methods.
- Process optimization and production support delivering measurable lifetime and cycle-time improvements.
Project Background
- Led development of an LCM material model that halved cure cycle time while maintaining mechanical performance.
- Designed and built a 48-sample high-throughput dielectric spectroscopy instrument with integrated LabVIEW automation.
- Automated FEA preprocessing via a Python-based Abaqus macro to accelerate simulation workflows under tight deadlines.
- Improved temperature and exotherm prediction reliability using advanced curve-fitting and custom numerical frameworks.
- Developed elastomer formulations for sealing compounds that achieved 100–300% lifetime improvements in service.
Key Skills
- Python | MATLAB | LabVIEW | Abaqus scripting | Excel for simulation, automation, and data workflows
- Design of Experiments | ANOVA | Gauge R&R | Six Sigma methods for robust product and process development
- Cure kinetics & cure-cycle design | Composite process modeling | Autoclave and RTM process expertise
- Thermal and mechanical characterization: DSC | DMA | TGA | TMA | ARES | Instron instrumentation
- Process optimization | Predictive modeling | Machine learning | Statistical analysis for manufacturing improvements
Education
- Ph.D., Polymer Engineering — University of Akron
- M.S., Polymer Engineering — University of Akron
- B.S., Chemical Engineering — University of Washington
Why Interview this Candidate?
They bring 8+ years of polymer engineering and materials R&D experience spanning aerospace composites and energy-sector elastomers. Demonstrated track record includes a 50% cycle-time reduction via advanced modeling, 100–300% product lifetime gains from formulation work, and hands-on instrumentation and automation expertise. They can immediately contribute to modeling, process development, and production support teams.
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