The performance improvement of the combustion process in diesel engines with fuel heater

Acep wagiman — Thu, 21 Nov 2024 00:00:00 +0700

The incomplete combustion process will be a problem in the development effort of the diesel engine's performance. The non-homogeneous air-fuel mixing process is one of the factors which causes incomplete combustion. Heating the diesel fuel to a certain temperature before it goes through the high-pressure injection pump will lower its density and viscosity. Therefore, when injected in the combustion chamber, it forms smaller droplets of fuel spray which results in a more homogeneous air-fuel mixture. Moreover, using higher temperatures will make the diesel fuel easier to ignite to compensate for the limited time that is available in high-speed operating conditions. Diesel fuel heating can improve the combustion process to increase the power and decrease fuel consumption optimally.

Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network

Hery Tri Waloyo, Agus Mujianto, Richie Feriyanto — Thu, 21 Nov 2024 00:00:00 +0700

As the leading global producer of palm oil, Indonesia encounters substantial environmental challenges arising from the waste generated by empty palm oil fruit bunches (EPOFB). This research aims to develop an accurate Artificial Neural Network (ANN) model to predict the tensile strength of EPOFB fiber-reinforced composites. The method involves two types of ANN, namely Radial Basis Function (RBF) and Backpropagation, with testing using variations in immersion time, volume fraction, and length of EPOFB fibers. The research results show that both ANN models can predict tensile strength with a Mean Absolute Error (MAE) below 10%. However, the Backpropagation ANN shows superior performance with a training MAE of 0.0078 and a testing MAE of 0.45, compared to the RBF ANN, which has a training MAE of 0.371 and a testing MAE of 0.53. In conclusion, ANN Backpropagation is superior in prediction accuracy and characterization efficiency of EFB fiber-reinforced composites, offering an economical solution and supporting sustainable palm oil waste management.

Journal of Energy, Mechanical, Material, and Manufacturing Engineering

The performance improvement of the combustion process in diesel engines with fuel heater

Tensile Strength Prediction of Empty Palm Oil Bunch Fiber Composite with Artificial Neural Network