Dr. B. Mashadi, E. Zakeri,
Volume 1, Issue 1 (1-2011)
Abstract
In this paper, Front Engine Accessory Drive (FEAD) system of automotive engine is modeled with ADAMS software. The model is validated using engine test data. It is then used to investigate the effect of design parameters on the system performance such as belt vibration and loads on the idlers. Three alternative layouts were developed in order to improve the performance of original EEAD system. The validated model was used to study the effect of changes made to the layouts on the reduction of vibration and loads. Several system outputs indicated that for the modified layouts, large reductions in vibration and loads were achieved. It was concluded that one of proposed layouts was more appropriate and could be a useful substitution to the original layout. The developed model also proved useful for the design of engine FEAD systems and could be used for further developments.
E. Maleki Pour , S. Golabi ,
Volume 4, Issue 2 (6-2014)
Abstract
Nowadays, automakers have invested in new technologies in order to improve the efficiency of their
products. Giant automakers have taken an important step toward achieving this objective by designing
continuously variable transmission systems (CVT) to continuously adapt the power of the engine with the
external load according to the optimum efficiency curve of engine and reducing fuel consumption beside,
making smooth start up and removing the shock caused by changing the gear ratio and making more
pleasurable driving. Considering the specifications of one of Iranian automaker products (the Saipa Pride
131), a CVT with a metal pushing belt and variable pulleys have been designed to replace its current
manual transmission system. The necessary parts and components for the CVT have been determined and
considering the necessary constraints, its mechanism and components have been designed.
Ashkan Moosavian, Alireza Hosseini, Seyed Mohammad Jafari, Iman Chitsaz, Shahriar Baradaran Shokouhi,
Volume 12, Issue 2 (6-2022)
Abstract
In this paper, to address the problem of using displacement sensors in measuring the transverse vibration of engine accessory belt, a novel non-contact method based on machine vision and Mask-RCNN model is proposed. Mask-RCNN model was trained using the videos captured by a high speed camera. The results showed that RCNN model had an accuracy of 93% in detection of the accessory belt during the test. Afterward, the belt curve was obtained by a polynomial regression to obtain its performance parameters. The results showed that normal vibration of the center of the belt was in the range of 2 to 3 mm, but the maximum vibration was 8.7 mm and happened in the engine speed of 4200 rpm. Also, vibration frequency of the belt was obtained 124 Hz. Moreover, the minimum belt oscillation occurred at the beginning point of the belt on the TVD pulley, whereas the maximum oscillation occurred at a point close to the center of the belt at a distance of 16 mm from it. The results show that the proposed method can effectively be used for determination of the transvers vibration of the engine accessory belts, because despite the precise measurement of the belt vibration at any point, can provide the instantaneous position curve of all belt points and the equation of the belt curve at any moment. Useful information such as the belt point having the maximum vibration, belt slope, vibration frequency and scatter band of the belt vibration can be obtained as well.
