Optimization of design parameters using a response surface method in a cold cross-wedge rolling

Lee, H.W.; Lee, G.A.; Yoon, Duk Jae; Choi, Sangchun; Na, K.H.; Hwang, M.Y.

doi:10.1016/j.jmatprotec.2007.11.287

Cited by 25 publications

(10 citation statements)

References 3 publications

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“…Although considerable understanding of the CWR process has been gained through prior research, the central crack formation mechanism remains an unsolved problem. Central cracks, also called the Mannesmann hole defect as mentioned by Lee et al (2008), are internal voids/cracks that form in the middle (both axially and radially) of the workpiece during CWR. Both Li et al (2002) and Yang et al (2018) observed in experiments that the central crack is ductile in nature.…”

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confidence: 99%

A study on central crack formation in cross wedge rolling

Zhou

Shao

Pruncu

et al. 2020

Journal of Materials Processing Technology

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Cross wedge rolling (CWR) is an innovative roll forming process, used widely in the transportation industry. It has high production efficiency, consistent quality and efficient material usage. However, the continual occurrence of crack formation in the centre of the workpiece is a critical problem excluding the CWR technique from more safety-critical applications, in particular, aerospace components. The mechanisms of central fracture formation are still unclear because of a combination of complicated stress and strain states at various stages of CWR. Thus, the aim of this study is to understand the stress/strain distribution and evolution during the CWR process and identify the key variables which determine central crack formation. A comprehensive investigation was then conducted to simulate 27 experimental cases. The stress and strain distributions in the workpiece were evaluated by finite element analysis. Various damage models from literature were applied and compared. A new fracture criterion was proposed, which was able to successfully determine the central crack formation in all 27 experimental cases. This criterion can be applied in CWR tool and process design, and the enhanced understanding may enable the adoption of CWR by the aerospace industry.

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confidence: 99%

A study on central crack formation in cross wedge rolling

Zhou

Shao

Pruncu

et al. 2020

Journal of Materials Processing Technology

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“…Lovell et al [16][17][18][19] systematically investigated failure conditions and criterion for CWR as well as the reason for slipping, necking, and internal defects in the workpiece during the CWR process. Lee et al [20] optimized the CWR process based on the response surface methodology to prevent internal hole defects from forming. The above scholars have made great contributions in promoting the eld of cross wedge rolling.…”

Section: Introductionmentioning

confidence: 99%

Numerical and Experimental Study on Microstructure Evolution of Ti-6Al-4V Alloy Shaft Perform in Cross-Wedge Rolling Process

Yuan

Chen

Zhao

et al. 2021

Preprint

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To seek a fundamental understanding for further improving the Ti-6Al-4V alloy utilization of Cross-Wedge Rolling (CWR) and the comprehensive mechanical properties of shaft parts, the effect of the CWR processing parameters on the microstructure evolution of Ti-6Al-4V alloy shaft preform is studied in this paper. An Arrhenius-type microstructure structure evolution model was employed and implemented into the finite element software DEFORM-3D. The average grain size and dynamic re-crystallization volume fraction distribution in the α+β two-phase region and the β single phase region under different rolling temperature, roller rotating speed and area reduction were analyzed, respectively. It is finding that the area reduction, rolling temperature and roller rotating speed significantly affect the microstructure evolution of Ti-6Al-4V alloy. Meanwhile, the corresponding CWR and Metallographic experiments were conducted to verify the reliability of the FE simulation results. Results showed that the agreement of the process parameters effect on dynamic recrystallization in the α+β two-phase region between simulation and experimental is reasonably good. The difference in average grain size in the β phase region between simulation and experimental is ranged from 5.77% to 18.56%. In addition, the evenly distributed microstructure can be found as the area reduction of 50%, rolling temperature of 950℃ and the speed of 5 r⋅min−1 were employed. After rolling under optimized processing conditions, the tensile strength of Ti-6Al-4V alloy shaft preform increased by 18.57% and the plasticity enhanced significantly due to smaller grain size and bi-model microstructure obtained.

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“…In the study of Jiang et al [13], an interval inversion model is established to predict the spring coefficient and mass range of the system. In the study of Lee et al [14], based on the interval analysis method, an interval inversion model for modal parameter modification is established. In the study of Li et al [15], the identification of material parameters of composite laminates with uncertain parameters is studied based on interval analysis method.…”

Section: Introductionmentioning

confidence: 99%

Load Identification Method Based on Interval Analysis and Tikhonov Regularization and Its Application

Liu

Ren

Wang

2019

Journal of Electrical and Computer Engineering

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In order to study the dynamic force identification method of an end-plate pick of shearer, a dynamic force identification technique based on interval theory was proposed. e dynamic force interval identification model is established by describing and quantifying the identified parameters. By using the interval analysis method of the first-order Taylor expansion, the dynamic force identification is transformed into two kinds of deterministic inverse problems at the midpoint of the uncertain parameter and its gradient identification. e Tikhonov regularization method is used to solve two kinds of deterministic problems, and the upper and lower boundaries of dynamic force of the end-plate pick are determined. e results show that the deviations between the identified dynamic force and the actual dynamic force are basically within 2% and 5%, and the average uncertainties are up to 7% and 10%. erefore, the proposed method can effectively determine the upper and lower boundaries of dynamic force of the endplate pick, improve the solving efficiency, and provide a new research method for studying the coal rock mechanism of the pick cutting load.

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Optimization of design parameters using a response surface method in a cold cross-wedge rolling

Cited by 25 publications

References 3 publications

A study on central crack formation in cross wedge rolling

A study on central crack formation in cross wedge rolling

Numerical and Experimental Study on Microstructure Evolution of Ti-6Al-4V Alloy Shaft Perform in Cross-Wedge Rolling Process

Load Identification Method Based on Interval Analysis and Tikhonov Regularization and Its Application

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