We report the measurement of the viscosity and density of various diesel fuels, obtained from British refineries, at elevated pressures up to 500 MPa and temperatures in the range 298 K to 373 K. The measurement and prediction procedures of fluid properties under high pressure conditions is of increasing interest in many processes and systems including enhanced oil recovery, automotive engine f...

This paper presents multiple methods for predicting heavy/mediumduty vehicle fuel consumption based on driving cycle information. A polynomial model, a black box artificial neural net model, a polynomial neural network model, and a multivariate adaptive regression splines (MARS) model were developed and verified using data collected from chassis testing performed on a parcel delivery diesel tru...

The PressureSense Glow Plug combines a miniature fiber optic-based cylinder pressure sensor with the automotive glow plug. The 1.7mm diameter sensor is sealed inside a glow plug heater and the sensor signal conditioner is encapsulated into a “smart connector”. The sensor operates on the proven principle of light intensity changes, transmitted by two optical fibers, upon reflection from a deflec...

This work was one of the tasks of the Manufacturing2Client project, whose objective was to develop a frontal deflector to be commercialized in the automotive industry, using new project and manufacturing methods. In this task, in particular, it was proposed to develop the ability to predict computationally the aerodynamic influence of flow in vehicles, in an effort to reduce fuel consumption in...