A Boundary Element Analysis Method Based on Commercial Vehicle Parameters

Abstract

The invention discloses a boundary element analysis method based on parameters of a commercial vehicle, which is characterized in that it comprises the following steps: 1) applying a regularly changing load; 2) obtaining a damping characteristic curve; 3) segmental weighting of the damping characteristic; 4 ) to establish a segmented weighted parameter set; 5) parameter boundary element extraction; 6) global boundary element design of the vehicle. This method can reasonably and accurately design the nonlinear damping, improve the accuracy of nonlinear scaling and matching, save the development cycle and cost, reduce the tuning cycle and facilitate the formation of a standard parameter scaling database for the model, which is convenient for the reduction of the same model. Vibration design provides a reference.

Description

technical field [0001] The invention relates to commercial vehicle technology, in particular to a boundary element analysis method based on parameters of commercial vehicles. Background technique [0002] The ride comfort of commercial vehicles usually seriously affects the ride comfort and ride comfort. Therefore, many enterprises and vehicle research and development industries have put forward higher requirements for the vibration damping parameter characteristics of the damping system on commercial vehicles. The vibration damping structure includes: suspension springs, dampers, rubber bushes, and leaf springs, etc. Therefore, in order to achieve a better tuning effect for the multi-vibration damping structure of the vehicle as a whole, it is theoretically necessary to meet the vibration damping requirements. The damping parameter values ​​of the structure must be matched to the optimal value. However, in the actual vehicle entity, these theoretical optimal values ​​are of...

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Problems solved by technology

[0006] where i is the total number of design scaling, c 0 It is the scaling factor based on the original characteristic curve of product damping. The scaling factor is determined by the initial load between the upper and lower ends of the shock absorber product after installation, and is adjusted with the continuous change of factors such as the later load of the shock absorber. , it is necessary to continue multiplying the last designed product by a certain ratio to modify the scaling factor (c 1 ,c 2 ,...,c i ), and then continuously scale and correct the original nonlinear curve to achieve the design purpose of the designer, but because the scaling method is a global scaling of the nonlinear characteristic curve as a whole, it is easy to ignore the regional The optimal matching of the damping leads to poor design accuracy of the damping, and the number of expansions and expansions is small, and the influence effect between multiple expansions and expansions of multi-level load impacts is not considered, so it is easy to cause accidental errors.

[0007] For commercial vehicles that have been sold, when the designers perform performance adjustment on the recovered problem models, due to the wear, deformation and fracture of some of the vibration damping components of the problem models, it is necessary to repair the vibration damping components, and the vibration reduction after repair The damping needs to be redesigned and inspected. At this time, due to the lack of reference for the design range during design, the variation range of the scaling factor of the original nonlinear characteristic curve is quite different from the overall variation of the scaling factor value of the nonlinear curve after repair. Large, so it takes a lot of maintenance costs, and it takes a long time to adjust the design, which obviously affects the design cycle of the product

In some special cases, due to the limitation of cost and production development, some R&D personnel can only use some existing data to simulate the linear damping characteristic curve to replace the nonlinear characteristic in order to simplify the analysis steps for some problem models. curve, which to a certain extent causes a large matching error, which deviates greatly from the theoretical optimization value, thus ultimately affecting the optimal vibration damping matching result of the vehicle's vibration damping

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