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Technical Paper

Evaluation of Functional Performance of Mechanism Using Multi Body Dynamics Simulation

2020-04-14
2020-01-0474
The functional performance of the mechanism plays a vital role in attracting customer concentration towards the product. It is the first interface for interaction with the customer. Hence it is important to evaluate the functional performance at the time of the design phase itself in order to eliminate the possibility of an increase in proto-builds. The functional performance of a mechanism comprises parameters like, a mechanism should perform its function for which it is designed, with minimum effort required and ease in functionality. Evaluation of such parameters at the design stage involves many assumptions and this brings chance variables in the methodology. In order to eliminate these assumptions, a methodology has been developed using the multi-body dynamics (MBD) model of mechanisms like gear shifting mechanism and cabin door outer handle mechanism.
Technical Paper

Design Optimization of Engine Mounts for Commercial Vehicle Application to Avoid Failures

2017-01-10
2017-26-0287
The Mounting system of component plays a major role in determining the structural durability, compatibility and synchronization of the systems with respect to each other. The major function of Engine mounts is to isolate the engine from the chassis and to align the power-train system of vehicle according to needs. Here we exclusively deal with the failure case of a Heavy duty commercial vehicle Engine Mounts and its optimization. We do formulate a theoretical calculation for the estimation of engine loads, Center of Gravity (C.G) and characteristics of existing engine mount followed by a failure root cause analysis based on design and transmissibility parameters. This is then correlated with data from Computed Aided Engineering and Matlab for analysis of the existing model which is compared to the experimental transmissibility from Road load data Acquisition (RLDA). This is to validate the conditions and propose optimizations to reduce critical failures.
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