Crankshaft;
Electromagnetic induction quenching;
Mean stress model;
D O I:
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摘要:
Crankshaft is one of the most important parts in modern diesel engine. Usually, the strength of this part is improved by the electromagnetic induction quenching approach. In this paper, the high cycle bending fatigue property of the steel crankshaft after this treatment was selected as the object of study. First, a simplified 2D finite element model was built based on the structural features of the crankshaft to simulate the electromagnetic induction quenching process of a given type of steel crankshaft. In this way, the temperature and residual stress distribution property of the crankshaft can be determined at any time node during the process. Then the fatigue limit load of this crankshaft was predicted based on the results obtained in the previous chapter and the selected mean stress models. Finally, corresponding experimental verifications were conducted to check the accuracy of the predictions. Validations between the experimental results and the prediction showed that this that the combination of the simulation results and the Gerber mean stress model can obtain the fatigue property of this type of crankshaft accurately, thus was suitable for actual engineering applications.
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Rui, Shuyang
Jiang, Dongdong
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机构:
Li Auto Vehicle Control Operat Syst, Hangzhou 310000, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Jiang, Dongdong
Sun, Songsong
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机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Sun, Songsong
Gong, Xiaolin
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机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Que, Tianyi
Jiang, Dongdong
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h-index: 0
机构:
Li Auto Vehicle Control Operat Syst, Hangzhou 310000, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Jiang, Dongdong
Sun, Songsong
论文数: 0引用数: 0
h-index: 0
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
Sun, Songsong
Gong, Xiaolin
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h-index: 0
机构:
Nanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R ChinaNanjing Forestry Univ, Coll Automobile & Traff Engn, Nanjing 210037, Peoples R China
机构:
Oakland Univ, Dept Mech Engn, Fastening & Joining Res Inst FAJRI, Rochester, MI 48063 USAOakland Univ, Dept Mech Engn, Fastening & Joining Res Inst FAJRI, Rochester, MI 48063 USA
Li, Tianwu
Nassar, Sayed A.
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Oakland Univ, Dept Mech Engn, Fastening & Joining Res Inst FAJRI, Rochester, MI 48063 USAOakland Univ, Dept Mech Engn, Fastening & Joining Res Inst FAJRI, Rochester, MI 48063 USA
Nassar, Sayed A.
El-Zein, Mohamad
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机构:
Oakland Univ, Dept Mech Engn, Fastening & Joining Res Inst FAJRI, Rochester, MI 48063 USA
John Deere Innovat & Tech Ctr, Moline, IL USAOakland Univ, Dept Mech Engn, Fastening & Joining Res Inst FAJRI, Rochester, MI 48063 USA