Research on numerical analysis for color matching in textile dyeing based on least square Fitting

Bingsen, Zhang; Yong-chang, Zhang; Yang, Houjun; Liu, Xiaojie; Zhang, Anling; Zhang, Zhongwen

doi:10.1109/isi.2011.5984099

Cited by 3 publications

(1 citation statement)

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“…In this paper, the FAE simulation of the rebar bending process was performed with a commercial dynamic analysis program "DAFUL" to investigate the spring-back phenomenon considering influence of the factors such as the bending angle, the bending radius, the diameter of rebar, friction coefficient, and yielding strength of material. The generated FEA data is subsequently used to derive the functional relationship between the parameters above and the spring-back deflection [11,12]. In order to validate 2 Advances in Mechanical Engineering the resulting formulas, we recalculated the spring-back ratio with the new parameter values that were not used to derive the formula and compared the spring-back ratio predicted by the derived functional dependence with the FEA results.…”

Section: Introductionmentioning

confidence: 99%

A Numerical Study of the Spring-Back Phenomenon in Bending with a Rebar Bending Machine

Choi

Kulinsky

Jun

et al. 2014

Advances in Mechanical Engineering

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Recently, the rebar bending methodology started to change from field processing to utilizing rebar bending machines at plant sites prior to transport to the construction locations. Computerized control of rebar plant bending machines provides more accurate and faster bending of rebars than the low quality inefficient field processing alternative. The bending process involves plastic deformation of rebars, where bending stress beyond the yield point of the material is applied. When the bending stress is removed, spring back is caused by the elastic restoring stress. Therefore, an accurate numerical analysis of the spring-back process is required to reduce the bending process errors. The most sensitive factors affecting the spring-back process are the bending radius, the bending angle, the diameter of the rebar, the friction coefficient, and the yielding strength of material. In this paper, we suggest a numerical modeling method using these factors. The finite element modeling of the dynamic mechanical behavior of the material during bending is performed using a commercial dynamic analysis program "DAFUL. " We use the least squares approach to derive the spring-back deflection as a function of the rebar bending parameters.

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Section: Introductionmentioning

confidence: 99%