International Conference and Exhibition on Automobile Engineering September 01-02, 2015 Valencia, Spain

Carolina Senabre, received in 1998 the Engineer degree from the Polytechnic University of Valencia. She finished her PhD degree on Industrial Engineering, at the Polytechnic University of Elche on January 2012.rnFrom 2000 to 2001 she was a member of the research staff at the Engineering and buildings s.l, where she worked in the fields of structural design of buildings.rnIn 2001, she became a Professor at the Miguel Hernández University of Elche. She is teaching drawing, and Mechanical Design, and managing some research projects in those fields.rnShe has authored more than 30 publications and contribution to congresses and more than 20 papers to technical magazines. She has also published four books about teaching drawing, Mechanical Design, neural networks and research about brakes test.

There are different methods to fit the values of Pacejka-96 Formula parameters, but this is the first time that through Self Organizing Maps interactively, we can obtain the optimum Pacejka-96 tyre model parameters. The aim of the research is the use of a neural network such as SOM Self Organizing Map to obtain parameters for the mathematical Pacejka formula braking curves reproduce lateral brake force vs lateral slip of a vehicle taking into account factors that affect the rolling.rnA comparison of several neural networks has demonstrated that SOM methodology is better for obtaining Pacejka-96 lateral brake formula parameters of the lateral brake-slide relationship when presented with data not used in network training.

Aakash Tayal, Aastik Chawla, Abhas Jha and Aditya Salapaka all are pursuing Bachelors in Mechanical Engineering at the age of 21 years from Delhi Technological University, New Delhi, India. All will be starting their final year from August 2015.

Our model is a driver-selectable four-wheel steering which is cheaper than most existing systems and provides a large dynamic benefit over other mechanical four wheel steering systems. This system will allow the vehicle to have two-wheel steering where it is required (such as high-speed driving) and will give the driver an option to switch to four-wheel steering and perform complex maneuvers. We have tried to combine the performance index of an electrical system with the low cost and easy maintenance of a linkage-based one. This four-wheel steering system can be activated by the driver and disengaged as well, while the vehicle is in motion. We have considered two different types of engaging mechanism. \r\n1) Servo-based, which can be activated by the push of a button and gives an indication on the dashboard whether the vehicle is in two-wheel drive or four-wheel drive. This system will use a very small servo motor as compared to fully electrical ones.\r\n2) Lever-activated system, which will use a lever to switch between two-wheel and four-wheel steering modes. This system will require some physical effort by the driver but the cost of this system will be considerably less as the system is fully mechanical.\r\n\r\nThis system will enable drivers to negotiate some tricky parking situations and carve a way easily in the intense and jumbled traffic of Indian cities. It will also aid off-road drivers in getting out of precarious conditions and make the most of the strained paths encountered in off road driving.\r\n

N.V. Vernikovskaya is the researcher at BIC SB RAS and an Assoc. Prof. at the NSTU. She has completed her PhD in 1996. She has published more than 30 papers in reputed journals.

Wall-flow diesel particulate filters are widely used for soot removal from engine exhausts. The exhaust gas flows through the porous walls from the inlet channel into the outlet ones. Soot particulates deposit both in the pores of the wall and on its surface in the inlet channels. The efficiency of the further oxidation of accumulated soot depends on the ratio of soot captured inside the wall to one collected on the wall surface, because soot inside the pores has more close contact with catalyst. In theoretical investigations devoted to soot capturing in diesel particulate filters, authors usually take into account soot trapping either inside the porous material of filters or on the wall surface. Besides, they assume a constant particulates size in mathematical models. \r\nThe paper is devoted to the development of the unsteady-state mathematical model, which takes into account the simultaneous soot accumulation both inside the wall and on its surface. We assume, that the soot deposit in the pores by inertial impaction, interception, Brownian diffusion and interactions between interception and Brownian diffusion. We allow for soot collection on the wall surface firstly by inertial impaction, after the soot amount on the surface exceeds a critical level, the pores are bridged by soot and all soot deposits on the surface. We consider also particulates size distributions in the model. The accumulation of soot in the wall and on its surface increases the flow resistance. We present the results of the study of the effect of particles size distribution and material properties on the filtration efficiency and pressure drop.\r\n