$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
The choice of equipment and the design of the setup influence the accuracy and reliability of the recorded flame and pressure data, consistent with best practices reported in hydrogen explosion research. A piezoelectric pressure sensor was selected due to its high sensitivity and fast response time, which are essential for capturing the rapid pressure changes that occur during hydrogen explosions15. Unlike other pressure sensors, such as standard piezoresistive sensors, the Kistler 603B uses piezoelectric technology, making it well-suited for dynamic pressure measurements in experiments involving transient phenomena, such as flame propagation and explosions.
A multi‑channel high‑speed data acquisition system was employed because of its high resolution and the availability of multiple synchronized channels, which allow simultaneous recording of pressure signals and synchronization with high‑speed video. Proper selection of piping and fittings is paramount for handling the high operating pressures in the system. The piping must be rated to withstand the maximum upstream pressure supplied by the pressure regulator and transducers, ensuring structural integrity during hydrogen release. Failure to use appropriately rated components could lead to catastrophic leaks or system failure. The pneumatic valve was chosen for its ability to operate rapidly and pneumatically, which serves two critical purposes: (1) synchronization of all experimental actions, including hydrogen release and data acquisition, and (2) enhanced safety, as the valve can be remotely controlled to minimize the operator's exposure to hazards.
A leak test is essential after assembling the system, as recommended in hydrogen safety guidelines16. This ensures that all connections are airtight, preventing unintended hydrogen release. A simple mixture of water and dish soap, or laboratory-grade soap, can be applied to fittings to detect leaks by forming bubbles. If bubbles are observed, the fittings must be tightened and re-tested until no leaks are detected. For the leak test, the nitrogen bottle must replace the hydrogen one and raise the pressure gradually above the planned operating pressure with hydrogen. Maintaining consistent high‑speed video settings improves comparability between experiments and enhances the visibility of early flame development (Figure 4). Maintaining uniform resolution, frame rate, and exposure settings across all videos ensures comparable footage. This consistency simplifies post-processing and analysis, facilitating accurate interpretation of flame propagation and explosion dynamics.
By standardizing key components and synchronizing the recording systems, the experimental design produces reproducible pressure and imaging data under the conditions tested (Figures 4–5). To address timing accuracy, the synchronization between the high‑speed camera, pressure acquisition system, pneumatic valve, and ignition unit was verified using test triggers prior to each experiment. Although minor timing jitter may occur, the trigger system used here operates on sub‑millisecond timescales, and this level of precision is sufficient for resolving the flame development and pressure rise trends reported in Figures 4–5.
Compared with diagnostics that rely solely on schlieren imaging or planar laser‑induced fluorescence, this protocol emphasizes synchronized high‑speed imaging of the visible flame and simultaneous multi‑point pressure measurements. While schlieren and PLIF techniques can resolve density or concentration fields in greater detail, they typically require more complex optical setups and are less suited for routine safety studies in industrial environments. In contrast, the combined imaging‑and‑pressure approach described here provides a robust and relatively simple framework for identifying ignition regimes, flame acceleration, and explosion severity, and generates data that can be readily used to validate computational fluid dynamics simulations of hydrogen releases.
The protocol can be extended to study the influence of alternative obstacle geometries, such as grids, perforated plates, or more complex pipework, on flame acceleration and explosion loading. Future work may also apply the same measurement approach to partially confined or ventilated enclosures, providing data for risk assessments in industrial and maritime hydrogen applications. In an educational context, the methodology can be adapted as a laboratory exercise to train students in hydrogen safety, experimental design, and the use of high‑speed diagnostics for combustion research. In addition, the data generated in this study—and from any future expansion of the parameter matrix—can be used to support CFD model validation and to examine the sensitivity of explosion behavior to ignition location and local hydrogen–air mixture composition. This highlights the method’s suitability not only for demonstrating specific cases but also for informing safety‑relevant analyses when broader parameter sets are explored.
Common issues encountered with this protocol include ignition failure, incomplete flame visualization, and noisy pressure signals. If ignition does not occur, verify the spark gap (approximately 1–3 mm), check the electrical connections of the ignition unit, and confirm that the ignition electrodes are fully immersed in the flammable portion of the hydrogen–air cloud. If the recorded frame is underexposed or blurred, increase the camera exposure time slightly, adjust the lens aperture, or increase the external lighting while maintaining the desired frame rate. Noisy pressure traces can often be mitigated by improving electrical grounding, shortening sensor cables, or applying appropriate digital filtering during post‑processing. The protocol can be adapted to alternative obstacle layouts or nozzle diameters by recalibrating the pressure sensors and re‑establishing safe operating envelopes for pressure and release durations.
This protocol is limited to open‑atmosphere releases and ignition scenarios and does not represent confined or semi‑confined hydrogen explosions. Using a single nozzle diameter and a specific range of supply pressures limits the direct applicability of the results to other geometries and operating conditions. Furthermore, the hydrogen jet's concentration field is not measured directly; instead, it is estimated using a notional nozzle model, which introduces uncertainty in the local equivalence ratio at the ignition point.
An additional source of uncertainty arises from the fact that the notional nozzle model and the literature‑based concentration contours are derived for free, unobstructed jets. In the present experiments, the ignition point may be located upstream of the obstacle, within the obstacle array, or downstream of it, and the presence of obstacles is expected to distort the local concentration field through enhanced entrainment, turbulence generation, and wake formation. As a result, the estimated concentration contours do not accurately represent the mixture composition at the ignition location once obstacles are introduced.
For this reason, the concentration contour shown in Figure 3 is used only to justify the selection of obstacle distances—by indicating approximate hydrogen‑rich and hydrogen‑lean regions in a free‑jet baseline—and not to quantify the local mixture fraction during the actual tests. The actual concentration distribution near the ignition source remains unknown, and this limitation should be considered when interpreting ignition behavior, flame acceleration, and combustion regime transitions. Direct concentration diagnostics (e.g., PLIF, Raman techniques, or gas sampling) represent an important direction for future work to reduce this uncertainty. Finally, the high‑speed imaging is restricted by the selected frame rate, resolution, and viewing angle, which may prevent detailed visualization of three‑dimensional flame structures. Although repeated trials show consistent behavior, the limited number of repetitions means that the results should be interpreted as methodological demonstrations rather than statistically averaged datasets. A full quantification of uncertainty would require a larger number of repetitions, which lies beyond the scope of this protocol‑focused article.