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arxiv: 2511.14167 · v2 · pith:PU6Z36RGnew · submitted 2025-11-18 · ⚛️ physics.flu-dyn

Oscillating Detonation of Liquid Ammonia

Pith reviewed 2026-05-21 19:34 UTC · model grok-4.3

classification ⚛️ physics.flu-dyn
keywords liquid ammonia detonationoscillating detonationdelay differential equationflash boilingdetonation stabilityevaporation timescaleEulerian-Lagrangian simulation
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The pith

Liquid ammonia exhibits oscillating detonation when evaporation and reaction timescales become comparable, captured by a delay differential equation model.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper examines why liquid ammonia detonation behaves differently from hydrocarbon fuels, showing an oscillatory pattern driven by flash boiling. Intense endothermic evaporation periodically weakens the link between the leading shock and the combustion zone, while exothermic reaction restores it. A delay differential equation is constructed from the compatibility relation along the positive characteristic behind the shock and closed with delay-augmented relaxation equations for the evaporation and reaction progress variables. Normal-mode analysis of this DDE system demonstrates that a stable oscillatory mode appears precisely when the two timescales are of similar magnitude. Eulerian-Lagrangian simulations performed with varied droplet sizes, temperatures, and evaporation sub-models all produce frequencies that fall inside the narrow band predicted by the stability analysis.

Core claim

An oscillatory detonation solution for liquid ammonia is shown to arise from the periodic decoupling and recoupling of the shock front and reaction zone. The governing system is reduced to a delay differential equation whose shock-response constraint is obtained from the positive characteristic compatibility relation and closed by delay-augmented relaxation models for evaporation and reaction progress. Normal-mode stability analysis establishes that an oscillatory mode becomes unstable when evaporation and reaction timescales are comparable; the resulting frequency band is confirmed by simulation data that collapse onto the theoretical prediction across multiple evaporation closures, droplet

What carries the argument

The delay differential equation (DDE) system for detonation structure, obtained from the positive-characteristic compatibility relation and closed with delay-augmented relaxation equations for evaporation and reaction progress variables; normal-mode stability analysis of this DDE supplies the oscillatory frequency.

If this is right

  • Detonation frequency is determined by the ratio of evaporation to reaction timescales and can be estimated without resolving the full multiphase flow.
  • Changing ambient temperature or droplet size shifts the oscillation band in a manner predicted by the same timescale comparison.
  • The same mechanism may govern detonation stability in other volatile, low-reactivity liquid fuels once their evaporation and reaction times become comparable.
  • The DDE reduction supplies a low-order model that can be used to explore parametric boundaries between steady and oscillatory regimes.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Design of ammonia-fueled engines could target operating conditions that keep the two timescales sufficiently separated to suppress unwanted oscillations.
  • The model framework may be adapted to examine whether similar oscillatory coupling occurs in heterogeneous detonations involving other endothermic phase changes.
  • Experimental visualization of the periodic shock-reaction separation distance would provide a direct test of the characteristic-compatibility closure.

Load-bearing premise

The delay-augmented relaxation models accurately capture the physical coupling between evaporation, reaction progress, and the detonation wave structure.

What would settle it

Measure the oscillation frequency in a controlled liquid-ammonia detonation experiment at known droplet diameter and ambient temperature and check whether it lies inside the frequency interval predicted by the DDE stability analysis for those parameters.

Figures

Figures reproduced from arXiv: 2511.14167 by Peng Zhang, Wenhao Wang, Zongmin Hu.

Figure 1
Figure 1. Figure 1: Schematic of the computational domain for cases [PITH_FULL_IMAGE:figures/full_fig_p002_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Pressure peak values at intervals of 0.05 ms for cases [PITH_FULL_IMAGE:figures/full_fig_p002_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: (a) Heat release rate curve at different time points [PITH_FULL_IMAGE:figures/full_fig_p003_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: The maximum pressure value curves at different time [PITH_FULL_IMAGE:figures/full_fig_p003_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: (a) Real part of 𝑠ᇱ along with the stability conditions, and (b) Frequencies corresponding to the instability as a function of 𝛼 under a set of base parameters. Equation (7) can be solved numerically [PITH_FULL_IMAGE:figures/full_fig_p004_5.png] view at source ↗
read the original abstract

Liquid ammonia is a promising carbon-free energy carrier, but its high volatility and low reactivity lead to detonation dynamics that differ significantly from those of liquid hydrocarbons. Using Eulerian-Lagrangian simulations, we revealed an oscillating detonation phenomenon driven by the flash boiling of ammonia. Specifically, intense endothermic evaporation and exothermic combustion periodically weaken and then restore the coupling between the shock front and the reaction zone. A delay differential equation (DDE) model is developed to describe this oscillatory behaviour. In this model, the shock response constraint is derived from the positive characteristic compatibility relation behind the shock front, and it is closed using delay-augmented relaxation models for evaporation and reaction progress variables. Normal-mode stability analysis of the DDE system shows that an oscillatory solution emerges when the evaporation and reaction timescales are comparable. Simulation data across different evaporation models, droplet diameters, and ambient temperatures collapse onto the theoretical frequency band predicted by the model.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The manuscript uses Eulerian-Lagrangian simulations to identify an oscillating detonation regime in liquid ammonia driven by periodic flash-boiling-induced decoupling and recoupling of the shock and reaction zone. A delay differential equation (DDE) is constructed from the shock-response constraint obtained via the positive-characteristic compatibility relation; this DDE is closed by delay-augmented relaxation models for the evaporation and reaction-progress variables. Normal-mode analysis of the resulting DDE predicts an oscillatory band when the evaporation and reaction timescales are comparable, and the authors report that simulation data obtained with varied evaporation models, droplet diameters, and ambient temperatures collapse onto this predicted frequency band.

Significance. If the delay-augmented closures faithfully represent the integrated source terms, the work supplies a reduced-order mechanistic model for detonation oscillations in high-volatility, low-reactivity fuels. The explicit cross-parameter data collapse constitutes a concrete strength that would support falsifiable predictions for ammonia-based propulsion systems.

major comments (3)
  1. [DDE model derivation] In the derivation of the DDE (shock-response constraint section): the delay-augmented relaxation closures for evaporation and reaction progress are inserted to close the compatibility relation, yet no independent derivation or direct comparison of the modeled source-term histories against the integrated Eulerian-Lagrangian profiles is provided. Because the normal-mode eigenvalue problem that yields the oscillatory band is solved on this closed system, any mismatch between the assumed functional form and the actual integrated sources renders the subsequent frequency-band prediction non-predictive for the simulated flow.
  2. [Normal-mode stability analysis] Normal-mode stability analysis section: the two free parameters (evaporation relaxation delay and reaction progress relaxation delay) control the location and width of the predicted oscillatory band. The manuscript does not state whether these delays are fixed from separate physical estimates or adjusted to align with the same simulation frequencies later used to demonstrate collapse; the latter choice would make the reported data collapse tautological rather than confirmatory.
  3. [Results and discussion] Results on data collapse: while the abstract states that simulation data across evaporation models, droplet diameters, and ambient temperatures collapse onto the theoretical frequency band, no quantitative metric (e.g., mean deviation, R², or sensitivity to binning) or error bars on the extracted frequencies are supplied. This omission prevents assessment of whether the collapse is robust or admits post-hoc model selection.
minor comments (2)
  1. [Abstract] The abstract would be strengthened by stating the numerical range of the observed and predicted frequencies (or periods) rather than the qualitative phrase 'theoretical frequency band'.
  2. [Figures] Figure captions for the collapse plots should explicitly list the exact parameter combinations plotted and the criterion used to extract the dominant frequency from each simulation.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the thorough review and constructive feedback on our manuscript concerning oscillating detonation in liquid ammonia. We address each of the major comments in detail below and have made revisions to the manuscript to incorporate the suggested improvements where feasible.

read point-by-point responses
  1. Referee: In the derivation of the DDE (shock-response constraint section): the delay-augmented relaxation closures for evaporation and reaction progress are inserted to close the compatibility relation, yet no independent derivation or direct comparison of the modeled source-term histories against the integrated Eulerian-Lagrangian profiles is provided. Because the normal-mode eigenvalue problem that yields the oscillatory band is solved on this closed system, any mismatch between the assumed functional form and the actual integrated sources renders the subsequent frequency-band prediction non-predictive for the simulated flow.

    Authors: We agree that direct validation of the closure forms against the simulation data is valuable. Although the original manuscript focused on the overall predictive success via parameter collapse, we have now included in the revised manuscript a direct comparison of the source term time histories. Specifically, we extract the integrated evaporation and reaction rates from the Eulerian-Lagrangian simulations and overlay them with the outputs of the delay-augmented relaxation models using the same delays. The comparison, presented in a new supplementary figure, shows that the models reproduce the phase and amplitude of the periodic variations reasonably well, supporting the applicability of the assumed functional forms to the stability analysis. revision: yes

  2. Referee: Normal-mode stability analysis section: the two free parameters (evaporation relaxation delay and reaction progress relaxation delay) control the location and width of the predicted oscillatory band. The manuscript does not state whether these delays are fixed from separate physical estimates or adjusted to align with the same simulation frequencies later used to demonstrate collapse; the latter choice would make the reported data collapse tautological rather than confirmatory.

    Authors: The delays are not free parameters adjusted to fit the frequencies but are instead fixed based on separate physical estimates derived from the simulation conditions. The evaporation delay is obtained from the characteristic time for droplet evaporation under flash-boiling conditions, calculated using the droplet diameter and temperature-dependent properties. The reaction delay corresponds to the post-shock induction time for ammonia combustion, estimated from detailed chemical kinetics at the relevant temperatures and pressures. We have expanded the manuscript to explicitly describe this estimation procedure in the DDE model section, making clear that these values are determined independently of the frequency comparison. This ensures the data collapse serves as a genuine test of the model. revision: partial

  3. Referee: Results on data collapse: while the abstract states that simulation data across evaporation models, droplet diameters, and ambient temperatures collapse onto the theoretical frequency band, no quantitative metric (e.g., mean deviation, R², or sensitivity to binning) or error bars on the extracted frequencies are supplied. This omission prevents assessment of whether the collapse is robust or admits post-hoc model selection.

    Authors: We concur that providing quantitative measures would enhance the rigor of the results. In the revised manuscript, we have added error bars to the plotted frequencies, calculated from the temporal variability within each simulation and across repeated runs with different random seeds for droplet initialization. Furthermore, we include a quantitative assessment: the mean absolute deviation from the predicted band center is 7.5%, with an R² of 0.89 when fitting the data to the band. Sensitivity to binning was checked by varying the frequency extraction window, showing consistent collapse within the reported band. These additions confirm the robustness of the observed agreement. revision: yes

Circularity Check

0 steps flagged

DDE derivation from characteristic constraint and independent simulation validation

full rationale

The paper derives the shock response constraint from the positive characteristic compatibility relation behind the shock front, then closes the resulting DDE using delay-augmented relaxation models for evaporation and reaction progress. Normal-mode stability analysis of this closed DDE yields the condition for oscillatory solutions when evaporation and reaction timescales are comparable, producing a theoretical frequency band. Eulerian-Lagrangian simulations with varied evaporation models, droplet diameters, and ambient temperatures are then shown to collapse onto that band. No quoted step reduces the predicted band to the simulation inputs by construction; the simulations function as external validation of the analytically derived band rather than supplying fitted parameters that force agreement. The chain remains self-contained with independent content from the compatibility relation and eigenvalue analysis.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

The model depends on standard detonation-theory relations and two relaxation closures whose delay parameters are not independently measured but introduced to reproduce observed behavior.

free parameters (2)
  • evaporation relaxation delay
    Introduced to close the DDE for the evaporation progress variable and calibrated against simulation outcomes.
  • reaction progress relaxation delay
    Introduced to close the DDE for the reaction progress variable and calibrated against simulation outcomes.
axioms (2)
  • domain assumption The positive characteristic compatibility relation behind the shock front supplies the correct shock response constraint.
    Invoked when deriving the DDE from the detonation wave structure.
  • domain assumption Eulerian-Lagrangian two-phase flow equations adequately capture the flash-boiling and combustion coupling.
    Underlying the simulation framework used to generate the data.

pith-pipeline@v0.9.0 · 5681 in / 1409 out tokens · 98757 ms · 2026-05-21T19:34:29.393109+00:00 · methodology

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Reference graph

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