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Autoignition temperature

The autoignition temperature () of a substance is the lowest temperature at which it will spontaneously ignite in a normal atmosphere without an external ignition source, such as a or spark, due to the exothermic oxidation of its vapors in air. This property applies to gases, liquids, and vaporizable solids, and it is a critical physical characteristic documented in Section 9 of safety data sheets (SDSs). Unlike the , which involves an external ignition source, represents the threshold for self-sustained , making it essential for assessing hazards in various environments. AIT is typically measured using standardized methods like ASTM E659, where a sample is introduced into a heated flask, and the temperature is adjusted until the point of ignition is precisely determined, often within a 3°C margin. The value can vary significantly based on factors such as the substance's chemical composition, physical state, vapor concentration, test volume, pressure, oxygen content, and even catalytic surfaces, with lower AITs indicating higher spontaneous fire risks—for instance, has an AIT of 180°C, while is around 560°C. Under regulations like REACH, testing may be waived for substances that are , spontaneously ignitable at , or lack flammable ranges. In and industrial applications, guides the design of equipment by setting limits on surface temperatures to prevent ignition, informs "T" classifications for hazardous areas, and ensures with storage and handling protocols to mitigate risks in chemical plants, transportation, and systems. It is particularly vital in , where fuels must exceed their for self-sustaining reactions, as seen in engines that compress air to reach this threshold rapidly. Real-world incidents, such as the 1991 Meridian Plaza fire caused by linseed oil-soaked rags autoigniting, underscore its role in and response strategies. Overall, understanding helps prioritize material selection and to avoid hazardous accumulations near heat sources like furnaces or .

Fundamentals

Definition

The autoignition temperature of a substance—whether a , gas, or —is defined as the lowest temperature at which it spontaneously ignites in air or oxygen without an external ignition source, such as a or . This threshold represents the point where the material's vapors or particles self-sustain under normal atmospheric conditions, distinguishing it from ignition requiring deliberate initiation. The spontaneous ignition process underlying autoignition temperature involves a buildup of exothermic chain reactions, primarily oxidation, where the rate of heat generation surpasses the rate of heat dissipation to the environment. These reactions produce free radicals and intermediate species that accelerate further oxidation, leading to thermal runaway—a rapid, uncontrollable escalation in temperature that culminates in ignition. At this stage, the autoignition delay time, or the interval from reaction initiation to flame propagation, effectively approaches zero. Autoignition temperatures are typically reported in degrees Celsius (°C) or Kelvin (K) and are determined under standardized conditions, including atmospheric pressure (1 atm) and air composition with about 21% oxygen. The concept originated in early 20th-century combustion research, driven by studies on internal combustion engines and fuel behavior. Formal definitions solidified in the mid-20th century through safety standards, exemplified by pioneering work in the 1950s that informed procedures like ASTM E659, established to assess chemical hazards reliably.

Comparison with Other Ignition Temperatures

The autoignition temperature represents the minimum temperature at which a substance spontaneously ignites in air without an external ignition source, such as a or , distinguishing it from the . The is defined as the lowest temperature at which sufficient vapor is released from a to form an ignitable with air near the liquid's surface, requiring an external ignition source to produce a brief flash of . This external source dependency makes the flash point a key indicator of flammability in environments with potential sparks or open flames, whereas autoignition focuses on self-sustained and chain reactions leading to bulk ignition. Closely related to the is the fire point, which is the lowest temperature at which the vapor continues to burn for at least five seconds after initial ignition by an external source, marking the transition to sustained . The fire point is typically 5–20°C higher than the for most liquids, but remains substantially lower than the autoignition temperature, as it still relies on an external initiator rather than spontaneous reaction. The broader term "ignition temperature" is occasionally used synonymously with autoignition temperature but more often refers to the minimum temperature needed to initiate with an external input, encompassing concepts similar to the or fire point in surface or vapor-phase scenarios. In precise technical contexts, however, ignition temperature without qualifiers typically implies autoignition, emphasizing the absence of external sources. These distinctions arise because autoignition involves volumetric heating and chain throughout the material, often resulting in higher thresholds— for example, hydrocarbons exhibit points ranging from -40°C (as in ) to over 60°C (as in ), while their autoignition temperatures fall between 200°C and 600°C. In practical applications, autoignition temperatures guide safety assessments for hot-surface contacts or confined high-temperature processes, such as in engines or reactors, where no ignition source is present, unlike the spark-related hazards addressed by and fire points.

Measurement Methods

Standard Procedures for Liquids

The ASTM E659 standard serves as the primary method for determining the autoignition temperature () of liquid chemicals, focusing on the lowest temperature at which a substance spontaneously ignites in air without an external ignition source. This procedure ensures reliability and reproducibility by using a controlled to simulate atmospheric conditions. It measures both hot-flame and cool-flame AITs, with the hot-flame value typically reported as the standard AIT for safety assessments. The procedure begins by preheating a 500 mL round-bottom flask to the desired within a , allowing stabilization to ensure uniform heating. A sample volume ranging from 0.025 to 5 mL of the liquid is then injected into the lower portion of the flask using a hypodermic , promoting rapid and mixing with air. The flask contents are observed for 10 minutes through viewing ports for any ignition, defined as a propagation across the . To establish the , tests employ a approach: multiple sample volumes (e.g., 0.1 mL increments) are tested at incrementally decreasing until the lowest yielding ignition for at least one volume is identified, with no ignition occurring at lower for any volume. This method accounts for the volume dependence of AIT, as larger samples can lower the effective ignition threshold due to increased concentration. The apparatus consists of the flask mounted vertically in a high-temperature with precise to ±1°C, often using controllers and multiple Type K thermocouples positioned at the flask bottom, middle, and top to monitor uniformity (with the mid-flask reading as the reference). The setup includes safety features such as exhaust venting to handle products and protective shielding around observation ports. To enhance uniformity, the flask is wrapped in reflective metal foil, minimizing gradients that could affect results. Limitations of the ASTM E659 method include its restriction to , which may not capture pressure-induced reductions in AIT observed in elevated-pressure environments. It is unsuitable for highly volatile liquids that evaporate excessively before full mixing or for pyrophoric substances that ignite on contact with air. Distinguishing cool-flame ( without full combustion) from hot-flame events requires careful observation, as cool flames may precede but not represent the definitive AIT. Validation studies indicate repeatability of ±10–20°C within a single , influenced by factors like injection precision and temperature uniformity, with interlaboratory agreement typically within similar bounds; the method aligns with international equivalents such as EN ISO 14522 for vapor-phase testing applicable to liquids.

Methods for Solids and Dusts

The measurement of autoignition temperature for solids and combustible s requires specialized apparatus to account for their heterogeneous nature, dispersion behavior, and potential for ignition, unlike the vapor-phase tests used for liquids. For clouds, the ASTM E1491 standard test method determines the minimum autoignition (MAIT) by dispersing a sample into a heated and observing the lowest at which spontaneous ignition occurs. One common apparatus specified in this standard is a 1.2 L spherical , where is introduced via an from a pressurized , creating a uniform cloud concentration of typically 500–1000 g/m³, with the preheated to incremental starting from an estimated value and decreasing by 10°C intervals until ignition is observed through pressure rise or detection. The Godbert-Greenwald furnace, another apparatus permitted under ASTM E1491, consists of a 0.27 L vertical tube preheated to the test , into which a 60 mg dust sample is rapidly injected from the top using at 2–3 , forming a transient that ignites if the exceeds the MAIT, with ignition confirmed by visible flame or light . This method, originally developed in the and refined for modern use, is particularly suited for dusts due to its small volume and quick dispersion, though it may yield slightly higher MAIT values compared to larger vessels because of enhanced wall quenching effects. For bulk solids and layered deposits, basket methods assess self-ignition by placing a sample in a wire mesh —typically with 0.05–0.5 mm openings and volumes ranging from 25 cm³ to 8 L—suspended in a controlled-temperature or over a , where air circulation promotes oxidative ing until the sample's internal crosses the oven setpoint, indicating criticality for ignition. These tests, standardized in procedures like the UN of Tests and Criteria N.4 for self-heating substances, evaluate propensity across multiple basket sizes to identify size-dependent thresholds, with ignition observed via monitoring of exothermic runaway. Hot-plate variants involve suspending or placing the sample above a radiant-heated surface to simulate external heat sources, measuring the at which glowing or flaming occurs after prolonged exposure. For plastics and polymeric solids, ASTM D1929 provides a protocol using a vertical where thin samples (e.g., 1 g pellets) are dropped into a preheated air stream, determining both flash-ignition and self-ignition temperatures by the lowest setting yielding sustained without a pilot flame, typically in the 350–580°C range for common thermoplastics like . ISO 871 similarly employs a hot-air for plastics, emphasizing spontaneous ignition under flowing air conditions to distinguish from piloted ignition. Key challenges in these measurements include variability from particle size, where finer particles (e.g., <75 μm) lower the MAIT by 50–200°C due to increased surface area for oxidation, and moisture content, which can raise the temperature by 20–100°C by absorbing heat and diluting oxygen. Explosion risks necessitate safety interlocks and remote operation, while results for organic solids and dusts generally fall between 300–700°C, with cloud configurations igniting at lower temperatures than layers due to better oxygenation. Distinct cloud and layer ignition temperatures are critical, as layers may require higher heat fluxes for smoldering-to-flaming transition.

Theoretical Aspects

Autoignition Kinetics

The autoignition process is fundamentally governed by the Semenov thermal explosion theory, which posits that ignition occurs when the rate of heat generation from exothermic reactions surpasses the rate of heat loss to the surroundings, leading to a runaway temperature increase. This theory introduces a critical parameter, the Semenov number, that balances (E_a) and the (A) in the reaction kinetics, determining the boundary between stable and . Complementing this thermal perspective, autoignition involves chain-branching reactions where reactive radicals such as and atoms are formed and propagate, accelerating the oxidation process through branching steps that multiply radical concentrations. These reactions exhibit distinct behaviors in low-temperature and high-temperature regimes; in hydrocarbons, low-temperature oxidation favors intermediates, while high-temperature paths dominate via direct attacks, often resulting in negative temperature coefficient (NTC) behavior where ignition delay increases with rising temperature in intermediate ranges due to competing kinetic pathways. The temperature sensitivity of these kinetics follows the Arrhenius dependence, where reaction rate constants are expressed as k = A \exp\left(-\frac{E_a}{RT}\right), with A as the , E_a the , R the , and T the ; this exponential form governs the buildup of the induction period, during which radical accumulation leads to the onset of rapid . In many alkanes, autoignition proceeds via a two-stage , beginning with a involving formation and at lower temperatures (around 200–400°C), followed by a hot ignition stage where high-temperature chain branching triggers full . This phenomenon, prominent in fuels like n-heptane, arises from the transition between low- and high-temperature kinetic regimes. To predict and simulate these complex , computational models employ detailed schemes comprising hundreds of elementary steps and ; for instance, for n-heptane autoignition incorporate low- and high-temperature pathways, enabling accurate reproduction of NTC effects and two-stage ignition in various conditions.

Autoignition Delay Time Equation

The autoignition delay time, denoted as τ, represents the duration from the initiation of a to the onset of or ignition under adiabatic or near-adiabatic conditions. In theoretical modeling, this time is linked to through the Semenov , which assumes a well-mixed system with uniform . The Semenov provides an approximate expression for the near the critical : \tau \approx \frac{c_p R T_c^2}{Q E_a k(T_c)} where c_p is the specific heat capacity, R is the gas constant, Q is the heat release per unit mass, E_a is the activation energy, and k(T_c) = A \exp(-E_a / R T_c) is the reaction rate constant at T_c. This form arises from the asymptotic integration of the energy balance equation for the system, highlighting how higher temperatures reduce τ exponentially due to Arrhenius kinetics. The derivation begins with the unsteady energy balance for a uniform-temperature system: \frac{dT}{dt} = \frac{Q \rho k(T) - h (T - T_0)}{\rho c_p} where T is the system temperature, t is time, \rho is density, k(T) = A \exp(-E_a / R T) is the reaction rate constant with pre-exponential A, h is the heat transfer coefficient, T_0 is the ambient temperature, and c_p is specific heat capacity. For ignition, the heat generation term Q \rho k(T) overtakes the loss term h (T - T_0), leading to runaway when the sensitivity d(Q \rho k)/dT exceeds d(h (T - T_0))/dT at T_c. Approximating near T_c with high E_a / R T_c, the induction time τ is obtained by integrating until the runaway point, yielding the Semenov form above. To account for spatial variations, the Frank-Kamenetskii theory extends the analysis to distributed temperature systems. The steady-state heat conduction-reaction equation is \lambda \nabla^2 T + \rho Q A \exp(-E_a / R T) = 0. Using the approximation \exp(-E_a / R T) \approx \exp(-E_a / [R](/page/R) T_a) \exp(\theta), where \theta = (E_a / [R](/page/R) T_a^2) (T - T_a), it nondimensionalizes to the dimensionless equation \nabla^2 \theta + \delta \exp(\theta) = 0, with the Frank-Kamenetskii parameter \delta = (Q E_a \rho A \exp(-E_a / [R](/page/R) T_a) r^2) / (\lambda [R](/page/R) T_a^2), where r is a and \lambda is thermal conductivity. Ignition occurs when \delta exceeds the critical value \delta_{cr} = 3.32 for , marking the to ; the delay time τ then scales inversely with the proximity to this critical condition. Empirical correlations refine these theoretical forms for practical fuels, incorporating dependencies on pressure p and equivalence ratio \phi. A widely used expression is: \tau = A \, p^{-n} \, \phi^{m} \, \exp\left(\frac{E_a}{R T}\right) where A, n, and m are fitted constants specific to the fuel-oxidizer mixture, with n typically 0.5–1.5 reflecting pressure-enhanced collision rates and m \approx 0–1 for stoichiometry effects. These parameters derive from autoignition kinetics, such as chain-branching rates. In computational simulations, these equations inform predictive models, such as in (CFD) for engine knock, where τ predicts end-gas autoignition timing under varying compression. Validation against shock tube experiments confirms accuracy, with models reproducing measured τ within 20–30% for hydrocarbons like n-heptane at 10–40 atm and 800–1200 . The Semenov-based models assume uniform temperature throughout the reactive volume, simplifying analysis but limiting applicability to systems with significant internal gradients or transport effects in complex geometries, where and conduction must be explicitly resolved.

Influencing Factors

Environmental Conditions

The autoignition temperature () of a substance is significantly influenced by , with higher s generally lowering the AIT due to increased molecular collision rates that accelerate kinetic processes leading to ignition. Experimental studies on hydrocarbons such as n-hexane demonstrate this inverse relationship, where doubling the can reduce the AIT by 10-20% for many compounds, as observed in systematic tests across various fuels. Rapid compression machines (RCMs) provide robust experimental evidence of this pressure dependence, showing shorter ignition delay times and lower effective AITs at elevated pressures (5-80 ) in the 600-1200 range, confirming the role of enhanced reaction rates in compressed environments. Oxygen concentration also plays a critical role in modulating AIT, where reducing the oxygen partial pressure raises the required ignition temperature by limiting the availability of the oxidizer for exothermic chain reactions. For instance, in nonmetallic materials like Zytel® 42, the AIT increases from 203°C at 100% O₂ to 272°C at 21% O₂ (air equivalent), a rise of nearly 70°C, while for Teflon®, the change is smaller at under 10°C over the same range. For hydrocarbons, autoignition typically requires a minimum oxygen concentration of 10-15% by volume; below this threshold, such as in inert atmospheres with 11.6% O₂, ignition becomes improbable or demands substantially higher temperatures. This dependence underscores the need for sufficient oxidizer to sustain the radical propagation essential for thermal runaway. Humidity and diluents further alter , though their effects are generally milder than those of or oxygen. , acting as a and , tends to increase by 5-10% through dilution of reactive species and of , thereby extending ignition delays in mixtures like methane-air; for example, higher ratios prolong the ignition delay time and reduce exothermic intensity. In contrast, noble gases such as or have minimal impact on , primarily influencing thermal conductivity and without significantly altering reaction kinetics, resulting in negligible shifts compared to active diluents like . At high altitudes, where drops (e.g., to 0.85 at ~1400 m), the effective rises by about 13 for n-alkanes due to reduced collision frequencies and oxygen availability, highlighting the interplay of and environmental gradients in real-world scenarios.

Chemical Composition Effects

The autoignition temperature (AIT) of hydrocarbons is significantly influenced by molecular structure, particularly the length of the carbon in alkanes. For straight-chain n-alkanes, AIT generally decreases as the chain length increases from short to medium lengths (up to approximately C10–C16), due to the greater number of oxidation sites that facilitate radical formation and low-temperature reactivity pathways involving peroxy radicals and hydroperoxides. For instance, exhibits an AIT of around 595°C, while n-decane has a much lower AIT of approximately 201°C, reflecting enhanced autoignition propensity in longer chains. This trend arises from the increased ease of abstraction and chain propagation reactions in larger molecules, promoting faster buildup of exothermic oxidation products. Beyond C16, AIT stabilizes or gradually rises for very long chains (e.g., up to C30), attributed to reduced that limits vapor-phase availability and shifts dominance toward endothermic over . Functional groups within molecules further modulate AIT by altering bond strengths, stability, and oxidation . Aromatic compounds, such as with an AIT of about 555–562°C, display higher AITs compared to aliphatic hydrocarbons of similar carbon content, owing to the resonance-stabilized phenyl that resist low-temperature chain branching and require higher temperatures for ring-opening reactions. In contrast, oxygen-containing functional groups in oxygenates like alcohols typically lower AIT by 50–100°C relative to analogous hydrocarbons, as the weakened C–H bonds adjacent to the oxygen atom promote easier initiation and formation during oxidation. For example, has an AIT of approximately 363°C, significantly below that of (around 470°C), highlighting how the hydroxyl group enhances reactivity through facilitated beta-scission pathways. Additives and inhibitors can substantially raise AIT by interfering with radical chain reactions essential for autoignition. Halogen-containing compounds, such as those used in flame retardants, act as radical scavengers, recombining key species like H and OH radicals to suppress propagation and thereby increase the temperature threshold for ignition. Similarly, phosphorus-based additives, including organophosphorus compounds like , delay the autoignition period by promoting radical recombination and forming protective layers that inhibit gas-phase oxidation. Antioxidants, often or amine-based, further elevate AIT by scavenging peroxyl radicals, preventing the accumulation of hydroperoxides that drive low-temperature ignition. These mechanisms are particularly effective in fuels and polymers, where even small concentrations (e.g., 0.1–1 wt%) can extend ignition delays by factors of 2–5 under oxidative conditions. In mixtures, such as fuel blends, AIT exhibits non-linear behavior due to synergistic or antagonistic interactions between components, often deviating from weighted averages. Biofuel blends, for instance, can show where the combined AIT is lower than expected, dropping by 20–30°C in some cases, as oxygenates like enhance the low-temperature reactivity of hydrocarbons through altered pools and promoted decomposition. This non-linearity arises from cross-reactions, such as OH scavenging by components that paradoxically accelerate ignition in paraffinic matrices under certain conditions. However, in other blends like ethanol-gasoline, may increase resistance to autoignition, raising effective AIT via stabilized intermediates. Such effects underscore the need for empirical testing in blend design to predict hazards accurately. Quantitative structure-property relationship (QSPR) models provide predictive tools for estimating based on molecular descriptors, enabling assessment without exhaustive experiments. These models often employ group contribution approaches, counting s (e.g., -CH3, -OH) alongside topological indices to correlate structure with thermal stability. For broader applicability, some incorporate physical descriptors like normal , which inversely relates to AIT due to volatility's role in vapor-phase oxidation, or standard heat of formation, reflecting energies and exothermicity of initial . A notable example is the artificial neural network-group contribution (ANN-GC) method, which uses 146 occurrences to predict AIT for diverse compounds with high accuracy (average error ~1.6%, RMSE 15.44 across 1025 substances). These models prioritize conceptual links between composition and ignition kinetics, aiding in the screening of novel fuels while emphasizing validation against experimental data.

Applications and Implications

Fire Safety and Hazard Assessment

The autoignition temperature (AIT) serves as a critical parameter in hazard assessment for flammable and combustible liquids, complementing data to evaluate ignition risks from heat sources without open flames. This evaluation helps prioritize storage and handling protocols, as higher AIT values suggest reduced risks in moderately warm environments, but underscore the need for monitoring to prevent localized overheating. Storage guidelines for materials with known AIT emphasize maintaining adequate separation from hot surfaces, such as steam pipes or electrical equipment, that could exceed the AIT, or use of barriers to dissipate . Adequate is mandated to disperse flammable vapors and avoid accumulation in enclosed spaces where temperatures might approach the AIT, reducing the risk of autoignition in areas like warehouses or processing facilities. For instance, safety cabinets for flammable liquids are often rated to withstand temperatures up to 325°F (163°C), providing a below many common AIT values for solvents and fuels. These measures align with broader strategies, where AIT informs the design of insulated storage areas and cooling systems to maintain ambient temperatures well below ignition thresholds. In risk assessments, AIT is integrated into methodologies like the Design Institute for Emergency Relief Systems (DIERS) to predict and mitigate runaway reactions in chemical vessels, where exothermic processes could elevate temperatures to or beyond the AIT, triggering ignition or . By modeling temperature excursions, DIERS helps size relief vents to vent gases before autoignition occurs, particularly for reactive solvents or intermediates in batch reactors. This quantitative approach enhances identification in HAZOP studies, ensuring that operating limits incorporate AIT margins to avert propagation. Historical incidents illustrate the consequences of overlooking AIT in solvent storage, such as the 1989 Phillips 66 Houston Chemical Complex explosion, where hydrocarbon releases formed a vapor cloud that ignited upon contact with an ignition source, resulting in 23 fatalities and highlighting gaps in thermal hazard assessments for storage tanks. These events prompted stricter integration of AIT into facility siting and emergency planning. Regulatory standards, including OSHA 29 CFR 1910.106, govern the storage and handling of flammable liquids by specifying container limits and ignition source controls, with data required in under the Hazard Communication Standard (29 CFR 1910.1200) to inform labeling and worker training on autoignition risks. Containers must be labeled with GHS flammogram symbols for flammables, accompanied by sections detailing to guide distances from and needs, ensuring compliance in industrial transport and storage. Brief comparison to reveals that while assesses ignition from external sources, focuses on spontaneous risks, both essential for comprehensive labeling.

Combustion and Engine Design

In spark-ignition engines, the autoignition temperature plays a critical role in preventing engine knock, a phenomenon caused by premature autoignition of the end-gas ahead of the front, leading to spikes and potential damage. Fuels with high autoignition temperatures, typically exceeding 400°C for formulations designed for knock resistance, are preferred to ensure stable under high ratios. This property correlates directly with the , where higher octane numbers indicate longer ignition delays and greater resistance to autoignition under engine conditions, allowing for advanced spark timing and improved efficiency without knocking. In compression-ignition engines, a lower autoignition temperature, generally in the range of 200-300°C, is essential for reliable self-ignition during the compression stroke, enabling efficient operation without an external spark. This characteristic is inversely related to the , with higher cetane values signifying shorter ignition delays and lower effective autoignition thresholds, which promote smoother and reduced noise. For alternative fuels, autoignition temperature variations significantly influence engine performance and efficiency. Biofuels, such as blends, exhibit diverse autoignition temperatures depending on their composition, which can alter and completeness, thereby affecting and requiring adjustments in injection strategies to optimize output. , with its high autoignition temperature of 585°C, supports operation in internal combustion engines by permitting higher compression ratios without premature ignition, enhancing and reducing emissions. Autoignition temperature is integrated into modeling and simulations to predict and control , ensuring optimal phasing across operating conditions. In and zero-dimensional models, it informs parameters for ignition delay calculations, which help regulate valve and injection timing to maximize power while minimizing deviations that could lead to incomplete and elevated emissions of and unburned hydrocarbons. Recent advancements in the have explored -assisted ignition to effectively lower the required autoignition temperature threshold, enabling more precise control over initiation in advanced engine architectures. Techniques such as low-temperature enhance formation, reducing ignition delays and expanding operational envelopes for fuels with inherently high autoignition temperatures, as demonstrated in studies on systems.

Examples

Selected Substances

The autoignition temperatures of selected substances are presented here to provide practical reference values for industrially relevant materials, including common fuels, solvents, and polymers. These examples were chosen based on their widespread use in , , and chemical sectors, highlighting the broad range of temperatures across different classes of substances. Data are compiled from authoritative sources such as the CRC Handbook of Chemistry and Physics, NIST publications, and the International Chemical Safety Cards (ICSC), prioritizing values measured under conditions (air at 1 atm) and incorporating recent measurements where available to ensure accuracy. Variability in autoignition temperatures is particularly evident for mixtures and complex materials, such as fuels, where composition influences the onset of ignition; for instance, exhibits a range due to differences in hydrocarbon blends. Recent post-2020 studies using advanced apparatus, like constant-volume chambers, have refined values for fuels, confirming lower endpoints around 210–230 °C under controlled conditions.
SubstanceFormulaAutoignition Temperature (°C)ConditionsSource
HydrogenH₂585Air, 1 atmNIST Publication
CH₄537Air, 1 atmICSC
Mixture (C₄–C₁₂ hydrocarbons)246–280Air, 1 atmEngineering Toolbox (compiled from data)
C₂H₅OH363Air, 1 atmIgnition Temperatures Table
Acetone(CH₃)₂CO465Air, 1 atmICSC
Jet Fuel (Jet A)Mixture (kerosene-based)210–300Air, 1 atmNIST Publication (2021 update)
Paper ()(C₆H₁₀O₅)ₙ233Air, 1 atmNIST Journal of Research
Variable (C, with volatiles)350–600Air, 1 atmCDC Stacks (NIOSH)
(C₂H₄)ₙ330–410Air, 1 atmICSC
These values demonstrate how gases like and require higher temperatures for autoignition compared to liquid fuels like , while solids such as and polymers ignite at intermediate levels, underscoring the need for substance-specific hazard assessments in industrial settings.

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