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Low steering effort in mechanical steering system is very essential, besides meeting the regulatory norms, to have driving comfort and easy maneuverability on turns. All the components in steering and suspension system plays important role in the resultant steering effort of the vehicle. Of all the factors affecting steering effort, following are identified as high influencing parameters: 1 Steering geometry. 2 Steering system compliance. 3 Friction in steering system linkages like assembly steering column, assembly steering gear box etc. 4 Tyre static friction torque. Present paper describes the detailed analysis of the influence of each parameter on steering system. The above parameters were studied in isolation as well as in combination, to ascertain their effect on steering effort. In a mechanical steering system, the parameters listed above contribute to 35% on steering effort where-in frictional forces itself contributes to 25%.

In current scenario, Light Commercial Vehicle segment (7 ton - 9.6 ton) is gradually experiencing a shift in the focus from being just a goods carrier to a vehicle which is developed to take care of driver's safety and comfort in terms of better ergonomics and aesthetics. As compared to their conventional counterparts the new generation Light Commercial Vehicles are better equipped and tuned to cater to the changing needs of the consumers. In view of this, refinement at the sub system level is becoming far more critical. On the same lines, the present work discusses a refined brake system for Light Commercial Vehicles where the conventional pneumatic system is replaced with Dual Air Over Hydraulic (DAOH) to achieve cost and weight advantages without compromising on its performance. However, during the development process, a lot of issues were observed with respect to the braking performance and the brake pedal feel.

The automotive sector is going through a phase of stiff competition among various Original Equipment Manufacturers for increasing their profitability while ensuring highest levels of customer satisfaction. The biggest challenge for such companies lies in minimizing their overall cost involving investments in Research and Development, manufacturing, after sales service and warranty costs. Higher warranty costs not only affect the net profit but in turn it also affects the brand image of the company to a large extent in the long run. An effort is made here to target such warranty costs due to frequent tail pinion and hub seal leakages on single reduction/hub reduction axles of Heavy Commercial Vehicles in the field. A preliminary study involving the severity analysis of such failures is followed by a step by step investigation of these failures.

A 4t off-road military application vehicle was offered to the customers for assessment. During the evaluation adverse feedback of 1) harsh ride in off-road terrain, particularly during hump-crossing and 2) issues during high mobility were reported. Vehicle configuration was front and rear rigid axle suspension with leaf spring anti-roll bar, 4×4 and all terrain tyres. Vehicle application was “on-road” [GS (General-services)], as well as “off-road” (Reconnaissance purpose). The feedback was critically analyzed on the vehicle with the simulation of field conditions. Since the vehicle was still under customer evaluation, solution for the feedback required was quick and within boundary condition (maximum possible allowable limits of modification) of no major change in the suspension design as it was affects homologation cycle. Present paper describes the detailed analysis of the influence of each parameter on system.

A drive cycle is a representation of standardized driving pattern. Drive cycle is typically represented as a vehicle speed, gradient Vs time developed to represent the driving pattern which is independent of vehicle configuration. A drive cycle has been developed for commercial vehicle based on real life data. Analysis was done on the representative data measured and recorded by real driving behaviors for different driving conditions (City, and highway), along with engine part load data and vehicle parameters like Gross Vehicle Weight (GVW), gear box ratios, rear axle ratio, tire size. The above set of parameters are simulated and validated on software. Estimation of fuel consumption (based on developed drive cycle) using validated software matches real time fuel consumption. This would eventually lead us to choose power train to get better output in terms of fuel efficiency.