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The Spark Ignition chamber plays a very vital part in internal combustion engines.
In line with this, this short communication dwells upon a novel probing technique that employs high-speed cameras and a fiber endoscope-based particle velocimeter.
The flame propagation and combustion characteristics vary greatly depending on the fuel type and air mixture, which can be examined using a variety of probing techniques.
The proposed scheme can give valuable information on flame propagation features, fuel concentration, and particle velocity, which, either way, is able to optimize the performance of combustion engine
The addition of machine learning will ease the process of data acquisition as well as their effective management in enhancing the optimality of the internal combustion engine. It is envisioned that the novel design would pave the way for more research in this direction.