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Study On Crankshaft Strengthening Technology And Rolling Process Parameters For Air Compressor

Posted on:2018-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:F NiFull Text:PDF
GTID:2322330569975711Subject:Mechanical engineering
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Compressor crankshaft is the part of he most important and bear the largest load.Its fatigue strength and fatigue life is directly affected high-speed heavy-duty vehicle driving safety and reliability.The crankshaft rolling technology is currently one of the most ideal crankshaft reinforcement method.It is of great practical significance to study the crankshaft rolling reinforcement technology to enhance the crankshaft rolling reinforcement effect and enhance the safety and reliability of high-speed heavy-duty vehicle.This article focuses on solving of crankshaft rolling process parameters in the actual production,and made studies as follows:(1)Based on the stress of the crankshaft of the air compressor and the fatigue failure of the crankshaft,the existing crankshaft strengthening technology and its advantages and disadvantages are introduced.The strengthening mechanism of the crankshaft rolling and the common crankshaft fillet reinforcement were introduced.Influence of Pressure Parameters on Crankshaft Fatigue Strength.(2)Taking the air compressor crankshaft DCI11 of Dongfeng BengYe.Combined The dynamic analysis of the crank connection system wass carried out by Pro / E 3D modeling and ADAMS software,and the force of the crankshaft and the crank pin under certain working conditions was solved.And then through the NX-NASTRAN software to solve the crankshaft fillet at the work stress.(3)The finite element dynamic simulation analysis of the crankshaft rolling process was carried out by DEFORM software.The corresponding relationship between the key rolling process parameters and the residual stress at the rounded corner of the crankshaft was solved.(4)The BP neural network is used to train the rolling process parameters and the corresponding residual stresses.The corresponding residual stress was predicted by using the trained BP neural network based on the best residual stress theory.Finally,the fatigue life of the crankshaft before and after rolling wass compared with the experiment,and the correctness and reliability of the method were solved.
Keywords/Search Tags:Rolling strengthening, Numerical simulation, Residual stress, BP neural network
PDF Full Text Request
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