No abstract

Active vehicle safety systems for road vehicles play an important role in accident prevention. In recent years, rapid developments have been observed in this area with advancing technology and electronic control systems. Active yaw control is one of I would like to state my appreciation to Murat Şahin for his patient support and pleasant friendship, Emir Kutluay for his useful advises and company at every part of the study, Görkem Oktay and Hakan Temizsoy for their abundantly helpful and enjoyable attitude throughout this thesis. After all these years, I have got quite a bunch of friends in the department, which I cannot stop without stating my appreciation to all of them. Also, financial support of TÜBĐTAK is also gratefully acknowledged. My endless thankfulness goes to my friend Zeynep Erdoğan, who has stimulated and supported me with patience and wisdom. Without her, this study would never finish. My last, but not the least, thanks go to my valuable family. They have endlessly supported, guided and protected me in all stages of my life. I can never imagine a life without their love and dedication. x

No abstract

No abstract

No abstract

This paper illustrates the development and implementation of a parameter optimization methodology to improve impact harshness (IH) of road vehicles. A full ADAMS model of a small commercial vehicle is used as the IH test vehicle. The methodology involves the use of design of experiments methods together with response surface methodology. Significant design parameters affecting IH of the vehicle are first determined by the screening experiments. Once the critical parameters are identified, they are optimized to achieve improvement in the IH by constructing response surface. The optimization results indicate that the selected suspension parameters are capable of improving IH performance of the full vehicle ADAMS model by minimizing longitudinal and vertical acceleration responses. The results also show that considerable improvement can be obtained by using the proposed parameter optimization methodology.

No abstract

No abstract