The system of sensors was designed and controlled for early warning that the fuel sprayer will stop working and be controlled. When the fuel sprayer stops working, the electronic-control-unit (ECU) or computer gets electrical signals from (current, voltage) various sensors, but there are no sensors, which may result in fuel waste and engine combustion, posing a risk to passengers. Electric motors drive the fuel injection pump, the pressure control valve is set to 100 bars, and the standardising fluid is injected through the nozzle in the computing cylinder. This proposed system consists of sensors and signal processor that control, giving an early warning about the state of the sprinkler through a screen and after that turning off the engine when it does not respond to the warning and treatment. This technique was utilised to examine a 40[MP]capable conventional Gide inwardly-opening multi-hole fuel inoculation scheme using new fuel system mechanisms, injector dynamics, spray characteristics, and a single cylinder engine burning evaluation.. It also appears that the system provides a significant savings in fuel consumption and reduced material losses that result from engine damage and biography and maintain the vehicle users 'modesty and improve the quality of the protection and warning system and intelligent treatment of vehicles. The achieved system is demonstrated to be efficient and robust in improving fuel sprayer control system and capacity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.