TPU Researchers Deduce a Method to Predict the Timing of Cosmic Fuel Explosion

In July 2026, researchers from the Tomsk Polytechnic University (TPU) and NUST MISIS developed a mathematical method to predict the moment of ignition of the self-combusting fuel used in spacecraft and aeronautical vehicles. This method has the ability to calculate the delay in ignition with an accuracy of about 85 to 90 percent. It is an important milestone in the development of safer next-generation space engines.

This analytical model takes into consideration the intricate process of liquid fuel going into the combustion phase, which has been conventionally hard to formulate in mathematical terms. Self-igniting fuels can burn at normal temperatures when they come in contact with the oxidizing agents in the combustion chamber. Such fuels have been widely adopted in space and aviation technology as they need fast and reliable combustion.

The problem of not being able to accurately predict the timing of the ignition of such fuels has been a problem for a significant amount of time. The parameters that influence the moment of ignition are fuel droplet size, temperature, rate of evaporation, and interaction with the vapors. The traditional mathematical models struggled to precisely predict the moment of ignition.

The parameters of this new model take into account the thermodynamics of fluid evaporation, gas mixture formation, fuel droplet, and chemical reactions. When this model was put to the test, the results revealed that the model's predictions showed a maximum 15% deviation from real-world results when varying the fuel droplet size and around 10% deviation when varying the temperature.

Impact on the Chemical Industry

According to Precedence Research, the development of this mathematical model is expected to benefit the chemical industry as it provides a next-generation, accurate method to determine the moment of ignition. This is an important innovation given the increasing space programs around the world. This model can be useful for thrust adjustment and torque vectoring to guide spaceships and aircraft properly. This method can also optimize the usage of fuel, as it would help the fuel injector systems determine the timing and amount of fuel to release in the combustion chamber.

Impact on the Space Technology Market

The global space technology market size is estimated at USD 512.08 billion in 2025 and is predicted to increase from USD 551.20 billion in 2026 to approximately USD 1,081.74 billion by 2035, expanding at a CAGR of 7.77% from 2026 to 2035.

According to Precedence Research, the space technology market is expected to be positively impacted by the development of this model, as it helps engineers to design precise fuel injection and combustion systems designed to coordinate with the digital electronics systems on which the model would be hosted. 

This also helps engineers observe the patterns in fuel usage and determine the efficiency of the composite materials of the piston. They can thus use the material that provides the best conditions for combustion and gives the best energy output in a unit amount of fuel. Such systems help to enhance the spacecraft in terms of safety, reliability, as well as economy.

Impact on the Space Sensors and Actuators Market

The global space sensors and actuators market size accounted for USD 5.20 billion in 2025 and is predicted to increase from USD 5.73 billion in 2026 to approximately USD 13.71 billion by 2035, expanding at a CAGR of 10.18% from 2025 to 2035.

According to Precedence Research, the development of the mathematical model is expected to boost the space sensors and actuators market, as deploying the model on spacecraft would require advanced electronics systems that interact with the systems that control fuel injection in the combustion chamber. 

Such electronics systems need to be developed with high-quality materials that can withstand adverse pressure and temperature conditions for extended periods of time. The computational power of the processors installed in the electronic systems needs to be of high quality, as the algorithms need to rapidly predict the moment of ignition at each combustion cycle.

This technology can also be used in industries that use rapid combustion cycle-based systems, as it will help optimize fuel usage according to the power required for a particular operation. It also helps in combustion safety systems, as there have been many incidents of runaway in some internal combustion engines in automobiles. Runaway is a term used for uncontrolled combustion in a vehicle, which leads to very high revolutions per minute (RPMs) and heavy intake of fuel in the pistons. It leads to total engine damage in a significant number of cases, as most budget cars are not designed to sustain high RPMs.

Such fast revolution of the crankshaft beyond its permissible limit leads to breakage of valves and pistons. This mathematical model can be helpful to predict if an engine is heading towards a runaway and take the necessary course of action to avoid it. The runaway mostly happens in diesel engines as diesel does not require a spark plug for ignition and can ignite in natural combustion chamber conditions.