Title of article :
A new hybrid identification method for determining the material parameters of thin-walled tube under compressive stress state
Author/Authors :
J. Liu، نويسنده , , H. Yang، نويسنده , , Danny H.W. Li، نويسنده , , H. Li، نويسنده , , S. Zhu، نويسنده ,
Issue Information :
ماهنامه با شماره پیاپی سال 2013
Pages :
10
From page :
49
To page :
58
Abstract :
Accurate and fast determination of material parameters of thin-walled tube under compressive stress state is essential for analyzing the compressive-type tube forming process. For the thin-walled tube with hollow structure, it is difficult to determine the material parameters directly from the experiment since buckling occurs easily when the tube suffers axial compressive loading. To accurately and rapidly identify the material parameters of thin-walled tube under compressive stress state, a hybrid inverse identification method is proposed based on tube lateral compression test with combining finite element simulation, regression analysis and genetic algorithm. By employing the proposed method, the Swift law hardening parameters of thin-walled tubes with different materials and specifications under compressive stress state are identified. Furthermore, the efficiency and accuracy of the proposed method are discussed in comparison with the previous researches. The results show that: (1) for 6061-T4 and 1Cr18Ni9Ti tubes, the maximum relative predicting errors of forces in tube lateral compression using the identified material parameters are less than 9%; (2) for aluminum tube ∅100 × 2 (diameter × thickness, mm), the maximum discrepancies between the simulated and experimental circumferential strains are less than 0.0274 for 30–70% reductions, and the simulated tube profiles deviate from the experiment less than 10% at reductions of 0–78%; and (3) the proposed method almost saves 80% computational time compared with the previous stepwise optimization method.
Keywords :
Inverse identification , Thin-walled tube , Compressive stress state , Material parameters , Computational efficiency
Journal title :
Materials and Design
Serial Year :
2013
Journal title :
Materials and Design
Record number :
1074592
Link To Document :
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