Please login first
Juan A. Cabrera   Dr.  Institute, Department or Faculty Head 
Timeline See timeline
Juan A. Cabrera published an article in May 2018.
Top co-authors See all
Fernando Vidal-Verdú

55 shared publications

Department of Electronics, Institute of Biomedical Research of Málaga (IBIMA), University of Málaga, 29071 Málaga, Spain;(J.C.-R.);(F.V.-V.)

Juan J Castillo

7 shared publications

University of Malaga, C/ Ortiz Ramos s/n, 29071 Malaga, Spain

Antonio Jesús Guerra Fernández

4 shared publications

Mechanical Engineering Department, University of Malaga, 29071 Málaga, Spain.

Juan M Velasco

3 shared publications

University of Malaga, C/ Ortiz Ramos s/n, 29071 Malaga, Spain

Alex Bataller

2 shared publications

Department of Mechanical Engineering,University of Málaga,C/Dr. Ortiz Ramos S/N,Málaga 29071, Spain

23
Publications
9
Reads
0
Downloads
138
Citations
Publication Record
Distribution of Articles published per year 
(2002 - 2018)
Total number of journals
published in
 
10
 
Publications See all
Article 1 Read 0 Citations Cam synthesis applied to the design of a customized mandibular advancement device for the treatment of obstructive sleep... A. Bataller, J.A. Cabrera, M. García, J.J. Castillo, P. Mayo... Published: 01 May 2018
Mechanism and Machine Theory, doi: 10.1016/j.mechmachtheory.2018.02.002
DOI See at publisher website
Article 0 Reads 0 Citations A Procedure for Determining Tire-Road Friction Characteristics Using a Modification of the Magic Formula Based on Experi... Juan A Cabrera, Juan J Castillo, Javier Pérez, Juan M Velasc... Published: 17 March 2018
Sensors,
PubMed View at PubMed ABS Show/hide abstract
Knowledge of tire-road friction characteristics is essential for the proper performance of most relevant vehicle active safety systems. Therefore, its determination is necessary to improve the effectiveness of these systems and to avoid or reduce the consequences of traffic accidents. For this reason, there is a great deal of literature concerning methods and devices for measuring and modeling tire-road friction. Most of these methods have focused on determining the road friction resistance, taking only road composition and making measurements in wet conditions into account. However, friction forces are also dependent on the tire type, since the contact is established between the tire and the road in real driving conditions. Thus, the type and characteristics of the tire have to be considered in the study of the interaction between the vehicle and the road. The aim of this work is to unify the study of the friction coefficient, taking into consideration the two existing bodies involved in the contact, i.e., the tire and road and the main factors that influence the forces in the contact. To this end, a modification of the Pacejka Magic Formula is proposed to include the effects of the main parameters that influence the contact, such as road composition and its state, tire type, vehicle speed, and slip between the tire and the road. To do so, real tests have been conducted on several roads and with different operating conditions. As a result, a more accurate tire-road friction model has been obtained.
Article 2 Reads 2 Citations Optimization of an Optical Test Bench for Tire Properties Measurement and Tread Defects Characterization Juan Jesús Castillo Aguilar, Juan Antonio Cabrera Carrillo, ... Published: 29 March 2017
Sensors, doi: 10.3390/s17040707
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
Tire characteristics and behavior are of great importance in vehicle dynamics since the forces transmitted in the tire-road contact are the main contributors to global vehicle performance. Several research groups have focused on the study and modeling of tires. Some of the most important factors that need to be known are tread characteristics and pressure distribution in the tire-ground contact patch. In this work, a test bench has been used to adequately determine the aforementioned factors. The measurement principle of the test bench is the frustration of total internal reflection (FTIR) of light. It makes use of a laterally illuminated glass on which the tire leans. An interposed plastic interface between them causes the reflection of light. Finally, a video camera captures the bright image formed through the glass. The brightness level in each pixel of the image is related to existing normal pressure. A study of the parameters that affect the test bench calibration such as type of interface material used, diffuse light, hysteresis, creep and transverse light absorption is performed. Experimental tests are conducted to relate tire inflation pressure and camber angle to the pressure distribution. Furthermore, the test bench is used to detect and evaluate the influence of defects in the tire on the contact pressures.
Article 0 Reads 8 Citations Evolutionary synthesis of mechanisms applied to the design of an exoskeleton for finger rehabilitation A. Bataller, J.A. Cabrera, Miguel Clavijo, J.J. Castillo Published: 01 November 2016
Mechanism and Machine Theory, doi: 10.1016/j.mechmachtheory.2016.06.022
DOI See at publisher website
Article 0 Reads 0 Citations Measuring Quality of Life in Low-Risk Prostate Cancer Treated With Surgery, External Beam Radiation Therapy, or Brachyth... M.A. Cascales Garcia, M. Colmenero, A. Rodriguez Antolin, P.... Published: 01 October 2016
International Journal of Radiation Oncology*Biology*Physics, doi: 10.1016/j.ijrobp.2016.06.1320
DOI See at publisher website
Article 0 Reads 9 Citations Robust Road Condition Detection System Using In-Vehicle Standard Sensors Juan Jesús Castillo Aguilar, Juan Antonio Cabrera Carrillo, ... Published: 19 December 2015
Sensors, doi: 10.3390/s151229908
DOI See at publisher website PubMed View at PubMed ABS Show/hide abstract
The appearance of active safety systems, such as Anti-lock Braking System, Traction Control System, Stability Control System, etc., represents a major evolution in road safety. In the automotive sector, the term vehicle active safety systems refers to those whose goal is to help avoid a crash or to reduce the risk of having an accident. These systems safeguard us, being in continuous evolution and incorporating new capabilities continuously. In order for these systems and vehicles to work adequately, they need to know some fundamental information: the road condition on which the vehicle is circulating. This early road detection is intended to allow vehicle control systems to act faster and more suitably, thus obtaining a substantial advantage. In this work, we try to detect the road condition the vehicle is being driven on, using the standard sensors installed in commercial vehicles. Vehicle models were programmed in on-board systems to perform real-time estimations of the forces of contact between the wheel and road and the speed of the vehicle. Subsequently, a fuzzy logic block is used to obtain an index representing the road condition. Finally, an artificial neural network was used to provide the optimal slip for each surface. Simulations and experiments verified the proposed method.
Top