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Tractor-semitrailers make up large proportion of heavy commercial vehicles, handling stability of tractor-semitrailers is critical to driving safety. Handling behavior of Tractor-semitrailers is complex and depends on various parameters. This paper presents a mathematical approach & multi body dynamics (MBD) simulation based study to gain an insight as to, how changes to different parameters of the articulated vehicle affect it’s handling behavior and thus to obtain an optimized design in terms of vehicle handling. A Full vehicle multi body dynamic model is created and steady state cornering maneuvers are performed on simulation tool MSC ADAMS/View for calculating understeer gradient using constant radius test method. Various parameters affecting understeer gradient are identified, studied and their relative effect on understeer gradient is measured. These critical parameters were then optimized using MSC ADAMS/View tool to achieve the desired handling targets.

To compete with the current market trends, there is always a need to develop cost effective frame designs to meet the needs of the customer. During the development of new vehicles, the major focus is on weight reduction, so as to improve the load carrying capacity and fuel efficiency. Due to the introduction of new high strength materials, the static strength conditions can be met by the use of thinner frames, but the dynamic behavior of the frame deteriorates. The dynamic behaviors like ride and handling, comfort are affected by the stiffness of the vehicle frame. The stiffness of the frame is majorly defined by its vertical stiffness, lateral stiffness and torsional stiffness. The vertical stiffness of the frame plays major role in isolating road vibrations to frame mounted aggregates. The lateral stiffness plays a very important role in the handling of the vehicle and cornering ability of the vehicle. Torsional stiffness effects the roll and lateral load transfer distribution.

In today's competitive world, vehicle with light weighting is the most focused area. Vehicle light weighting can be done either by using light weight materials or by reducing the size of the existing components. In present paper later approach of vehicle light weighting is followed. It will help in design lay outing and reduce weight will add benefit to Fuel Efficiency (FE) too. Scope for light weighting is identified in exhaust system where muffler volume is optimized using Computational Fluid Dynamics (CFD) commercial tool FLUENT™. The back pressure, exhaust gas temperature, sound noise level & sound quality are chosen as design verification parameters. The muffler volume is reduced by 14.1%; resultant system become 14.1% compact with 2% lighter weight. Initially CFD analysis is performed on existing muffler and correlated with available test results. Accordingly parameters like pressure drop and flow induced noise are set as target values for new design.

The cabin or cab is an enclosed space where the driver and co-driver are seated. Structural parameters such as modal and stiffness characteristics are of key importance for its durability study and driver’s comfort. The desired strength and stiffness value of the cabin have to be met at the development phase itself. In developing new cabin models numerical simulations are used for estimating vehicle performance to reduce the development cycle. But, the conventional method of modeling the cabin using 2-d elements and performing subsequent iteration steps to arrive at the desired stiffness and strength value will be cumbersome and time consuming. Thus, a methodology of FE modeling of the truck cabin using 1-D elements has been proposed in this paper which will reduce the analysis time of successive iterations. For this purpose an existing proven driver’s cabin is modeled using 1-D elements.

Market driven competition in global trade and urgency for controlling the atmospheric air pollution are the twin forces, which have urged Indian automobile industries to catch up with the international emission norms. Improvement in the fuel efficiency of the vehicles is one way to bind to these stringent norms. It is experimentally proven that almost 40% of the available useful engine power is being consumed to overcome the drag resistance and around 45% to overcome the tire rolling resistance of the vehicle. This as evidence provides a huge scope to investigate the influence of aerodynamic drag and rolling resistances on the fuel consumption of a commercial vehicle. The present work is a numerical study on the influence of aerodynamic drag resistance on the fuel consumption of a commercial passenger bus. The commercial Computational Fluid Dynamics (CFD) tool FLUENT™ is used as a virtual analysis tool to estimate the drag coefficient of the bus.

Buses are always one of the main and favorite sources of public transit. Thousands of people die or injure every year in bus accidents. Bus seat can also cause severe injury to the occupants in case of frontal impact. Seat structure of the bus should absorb sufficient energy to minimize the passenger injury. Most of the occupants seated in the second row or further back were injured by hitting the seat back in the row in front of them. In India, AIS023 (Automotive Industry Standards) is one of the several mandatory standards from CMVR (Central Motor Vehicles Rules) to ensure the seat strength and occupant safety during accidents. This standard specifies minimum and maximum deformations range for the seat back to minimize the passenger injury with adequate seat strength. Present study includes the Finite Element Analysis (FEA) and correlation of bus seat as per AIS023 test setup with LS-Dyna explicit tool. Reasonable correlation was found between test and simulation results.

The safety of the heavy duty commercial vehicle (HCV) occupants in an accident is an imperative task and should be considered during the design and development of cabins. The sufficient cabin survival space must be remained after the accident. The main aim of this study is to develop a Finite Element (FE) model of HCV cabin and validate to the test as per AIS029. The present study also includes the assessment of the energy absorption capabilities of the HCV cab during the pendulum impact test. Initially a detailed 3D FE model of a fully suspended HCV cabin was developed and then pendulum impact test simulation was carried out using LS-Dyna explicit solver. Simulation results were compared with the test results and were found in a great agreement in terms of survival space and overall deformation behavior. The load transfer path was described at the time of pendulum impact. The largest amount of impact energy was absorbed by the frontal region of the cabin.

A Coupled CFD - FE Analysis, referred as Conjugate Heat Transfer (CHT) Analysis or Fluid Structure Interaction (FSI), is very important for the processes that involves simultaneous energy exchange between solid and fluid domains. If we consider IC engines, Exhaust Manifold is one of the critical areas where above mentioned phenomenon takes place. In this paper, temperature distribution in solid parts of exhaust manifold is obtained through Computational Fluid Dynamics (CFD) analysis which uses Finite Volume Method (FVM) for solving Navier-stokes equation and energy equation. Whereas thermal stresses are predicted through FE analysis which is based on Finite Element Methods (FEM). It is obvious to validate CFD process before evaluating thermal stress. Therefore initially CFD results are compared with experimental results and found more than 88% correlation. Thereafter in FE analysis, temperature field from CFD is mapped to nodes of FE model and thermo-mechanical stresses are evaluated.

Advanced Non-linear topology optimization methods have been addressed as the most promising techniques for light weight and performance design of Powertrain structures. The theoretical achievements are obtained both mechanically and mathematically. Nowadays, the great challenge lies in solving more complicated engineering design problems with multidisciplinary objectives or complex structural systems. The purpose of this paper is to provide a forum to present new developments in structural Non-linear topology optimization. The advantage of the proposed method is that structural optimization on irregular design domains can be carried out easily. Furthermore, this method integrates the stress analysis and the boundary evolution within the framework of finite element methods. In this paper, mainly focused on the Commercial Vehicles Powertrain component i.e. Transmission Housing.

To compete with the current market trends there is always a need to arrive at a cost effective and light weight designs. For Commercial Vehicles, an attempt is made to replace existing Gear Shift Fork from FC Iron (Ferro Cast Iron) to ADC (Aluminum Die Casting) without compromising its strength & stiffness, considering/bearing all the worst road load cases and severe environmental conditions. ADC has good mechanical and thermal properties compared to FC Iron. Feasible design has been Optimized within the given design space with an extra supporting pad for load distribution. Optimization, Stiffness, Contact pattern has been done using OptiStruct, Nastran & Ansys for CAE evaluation. A 6-speed manual transmission is used as an example to illustrate the simulation and validation of the optimized design. Advanced linear topology optimization methods have been addressed as the most promising techniques for light weighting and performance design of Powertrain structures.

The need to develop products faster and to have designs which are first time right have put enormous pressure on the product development timelines, thus making computer aided optimization one of the most important tool in achieving these targets. In this paper, a design of experiments (DOE) study is used, to gain an insight as to, how changes to different parameters of front suspension and steering of a passenger bus affect its kinematic properties and thus to obtain an optimized design in terms of handling parameters such as bump steer, percent ackermann error and lock to lock rotation angle of steering wheel. The conventional hit and trial method is time consuming and monotonous and still is an approximate method, whereas in design of experiments (DOE), a model is repeatedly run through simulations in a single setup, for various combinations of parameter settings.