The chemical gel point of thermoset composites is crucial to the design of manufacturing parameters in processes and industries that utilize these materials, like additive manufacturing and semiconductor packaging. However, many industrially relevant thermoset composite resins react too quickly and are too fragile to capture this behavior using traditional rheological techniques. Here, we pair Optimally Windowed Chirp (OWCh) measurements with rheology-conversion relationships to apply time-cure superposition. This data set focuses on a diglycidyl ether of bisphenol A (DGEBA) epoxy resin (Epon 826, Hexion, Ohio, USA) cured with Jeffamine D-230 (Huntsman Corporation, Texas, USA). Four resins with fumed silica (Cabot Corporation, Massachusetts, USA) mass fractions of 0 %, 2.5 %, 5 %, and 10 % were cured and observed isothermally at 70 °C. OWCh measurements for all these resins are included in this data publication. Only the rheology-conversion for the resin with 2.5 % fumed silica is reported here. The rheology-conversion relationships for the other three compositions are available in a previous data publication (https://doi.org/10.18434/mds2-2918). These results provide a way to observe how composite fillers affect the evolution of the viscoelastic spectrum, offering better understanding of the gel point. This data is described in: Romberg, S.K., Lehrman, S., Seppala, J. & Kotula, A.P. (2025) Identifying the chemical gel point of thermoset composites using optimally windowed chirp measurements, National Institute of Standards and Technology, submitted for publication.

This repository contains data generated to support and ECTC 2025 conference manuscript titled "Advanced Metrology Suite for Linking Residual Stress to Fundamental Properties of Thermoset Packaging Materials". It contains differential scanning calorimetry (DSC), rheology, digital image correlation (DIC), vapor uptake, and stress bench data on and example commercially available encapsulant epoxy material. The goal of the study and data is to (a) demonstrate these techniques, and (b) better understand the cure kinetics, liquid-to-solid transition, and residual stresses in for this material system. More complete descriptions of the methods and finding are available in the associated manuscript.The dataset contain about 2.5 GB of data, most of which by size is DIC images in .7z compressed folders. Most data is provided in .csv, .xslx, and .mat files. Resultant figures are included for reference in .png, .tiff or similar formats.

The polypropylene-based thermoplastic fibers are uniform in cross-section, not having any degraded surface skin, and they are heat-weldable at a pressure at a temperature which is lower than the melting temperature, by virtue of internal heating due to the effect of said pressure. They are made of a first constituent with high crystallinity and at least one second constituent, compatible with the first constituent, and of crystallinity that is lower than that of the first constituent. They have a quantity of primary oxidation inhibitor lying in the range 350 ppm to 1000 ppm. Such fibers are made by spinning under conditions that avoid molecular degradation by thermal oxidation at the periphery of the fibers, in particular with cooling that is rapid immediately on leaving the extrusion head. The non-woven fabric obtained by heat-bonding such fibers is characterized by weld points that are in the form of a polymer laminate that is uniform and transparent.

This is a python package to perform thermodynamic extrapolation andinterpolation of observables calculated from molecular simulations. This allowsfor more efficient use of simulation data for calculating how observables changewith simulation conditions, including temperature, density, pressure, chemicalpotential, or force field parameters.

This is a presentation on Thermo Re-Settable Straddle System by PetroQuip Energy Services, presented by Robert Coon. This video slide presentation describes the development of a resettable straddle tool with multiple packers and injection ports designed to test multiple open-hole sections at geothermal temperatures and pressures. It highlights engineering design reviews, component and system testing, and sealing technology innovations to reliably operate at 5,000 psi and 450 F for Enhanced Geothermal System (EGS) applications. This presentation was featured at the Utah FORGE R&D Annual Workshop on September 10, 2025. The workshop offered a valuable opportunity to review the progress of Research and Development projects funded under Solicitation 2022-2, which aim to improve our understanding of the key factors influencing Enhanced Geothermal System (EGS) reservoir and resource development.

In embedded 3D printing, a nozzle is embedded into a support bath and extrudes filaments or droplets into the bath. Using OpenFOAM, we simulated the extrusion of filaments and droplets into a moving bath. This dataset focuses on the effect of Newtonian viscosity and Herschel-Bulkley plateau (pre-yielded) viscosity on the extrusion of single lines. OpenFOAM is an open source computational fluid dynamics solver. This work used a combination of OpenFOAM v1912 and OpenFOAM 8 on desktop computers. OpenFOAM input files were generated using Python 3.7. Output files were analyzed using Paraview 5.8.0 and Python 3.7. Associated code can be found on Github: https://github.com/usnistgov/openfoamEmbedded3DP, doi:10.18434/mds2-2392 This data is described in: Friedrich, L., & Seppala, J.E. (2021) Simulated filament shapes in embedded 3D printing, submitted for publication See the file, mds2-2391-filelisting.csv, for a complete listing of the data files that available as part of this collection with URLs for downloading them.

High-pressure and high-temperature (HPHT) lost circulation material (LCM) rheology test results, LCM particle size distributions (PSD) analysis, and HPHT LCM fluid loss test results. Three academic papers / reports derived from this research are also presented.