An Inverse Technique Of Designing The Geometric Parameters Of Seat In Cab Based On The Distribution Of Noise

This article has researched the inverse method that how to design andoptimize the geometric parameters of seat in cab based on the neuralnetwork. Using the BP algorithm in neural network to design the structure,we put forward an inverse method to design the geometric of seat. At lastwe can attain the scheme by using the inverse method.1 This article has simulated the rectangle close space by FEM, compare with the accurate answer, we can prove that FEM in the analysis of acoustic radiation which generated by vibration of structure is an exact method, and it could be used in the analysis of noise in cab.2 According to the real car, this article has used the software ANSYS to build the 3D FE model, and analyzed the modal of acoustic, then we have established coupling model between the acoustic and structure vibration. Also, we have obtained the distribution of noise near the ear of driver by using the humorous responses analysis.3 According to the coupling effects, we obtained the distribution of noise of whole cab by using the software SYSNOISE.4 We found that there is a rule in the noise distribution under the different geometric parameters. Along with this changes, the noise near the ear of driver will be different, it may caused by the structure characteristic of cab.5 This article brings forward a method that could reduce the noise curve near driver ear by reduces the noise of some specified point. But we found several problems, such as, how to chose the specified points, whether we obtained the optimized curve or not, and how to improve the definition of NN by increase the samples.6 At last, we obtained an inverse model that could be used to design the cab to reduce the noise in it. For different cab, using this method, we can train several inverse models to design and optimize the geometric parameters to make the reduction of noise in it.