Analysis of die stress and forging force for DIN 1.2714 die material during closed die forging of anchor shackle

Pandya, Vishal A.; George, P.M.

doi:10.1016/j.matpr.2021.01.121

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…However, if the thickness of the preform and the stroke of the upper die gradually increases, the larger deformation of the preform will further increase the forging load and die stress, and such an increase in the forming load and die stress will affect the life of the die. The main reduction factors are 1,3,4 ; therefore, the second quality characteristic to be optimized by Taguchi was subsequently defined as ''the tensile stress of the die,'' and its quality characteristic is the smaller the better. Three controls were also determined to be included in the Taguchi orthogonal table, ''punch speed (mm/ sec),'' '' preform temperature (°C),'' and ''coefficient of friction.…”

Section: Taguchi Optimized Parameter Designmentioning

confidence: 99%

“…Die life depends not only on the material used but also on process parameters, such as forging load, forging times, preform size, die and preform temperature, friction coefficient and other parameters. 4 In 2005, Kim et al 5 proposed two methods for estimating the life of hot forging dies by plastic deformation and, die wear for SDK61 die steel, based on two main process parameters (forming speed and die initial temperature) using it to predict the life of the mould. In 2010, Chen et al 6 simulated the synchronous ring in the forged automobile parts based on the principle of rigid viscoelasticity with the finite element analysis software DEFORM-3D, mainly analyzing the influence of the die structure and friction coefficient on the forging quality, and the influence of the metal in the forming process.…”

Section: Introductionmentioning

confidence: 99%

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The optimization design of pre-forming for forging automobile parts using Taguchi method based grey relational analysis

Chiang

Jia

Hsiao

et al. 2023

Advances in Mechanical Engineering

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This study used finite element analysis software DEFORM-3D to analyze the preform formability and die stress in the pre-forming process of forging automobile transmission components. The preform and die materials used are AISI- 5120 alloy steel and JIS-SKD61 mould steel, respectively. This research investigated the phenomenon of folding defects in the preform at the end of the final forging process. First, as the die shape under the pre-formed channel was designed to change, its die shape was close to the final forged hole shape. Then, three quality characteristics were optimally analyzed by the Taguchi method for pre-formed passes, namely, “maximum tensile stress of the upper die, ”“maximum stretch stress of the lower die, ” and “ the degree of filling of the preform in the die cavity.” Then, this study applied grey correlation analysis to identify the experimental parameter configuration that could achieve a balance between the three quality characteristics, as compared with the results obtained by the Taguchi method. The results show that the lower die after the design change of the pre-forming pass can indeed improve the phenomenon of folding defects in the preform. In terms of the overall experimental data, the experimental data obtained by grey correlation analysis can balance the experimental results of the Taguchi method based on the optimization of the three quality characteristics. The experimental result of this set of parameters not only obtained the maximum tensile stress value of 716.614 MPa in the upper die but also considered the degree of the preform filling and maximum tensile stress in the lower die. The two values were 102.56% and 836.843 MPa. Although these two values are not optimal, compared to the data obtained by the Taguchi method, the preform was filled completely in this case. The maximum tensile stress value of the lower die is also the lowest.

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Section: Taguchi Optimized Parameter Designmentioning

confidence: 99%