Twist springback and microstructure analysis of PEEK sheets in ultrasonic-assisted thermal incremental forming

Liao, Juan; Zhou, Shaocong; Xue, Xin

doi:10.1007/s00170-022-09674-3

Cited by 9 publications

(3 citation statements)

References 31 publications

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“…The results revealed that the incremental forming process reduced the springback and twist of PEEK. The optimized tool trajectory could effectively eliminate warpage and reduce springback of PEEK parts [23].…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Predicting Forming Process Based on Different Hardening Models in Advanced High Strength Steel Sheets

Sanrutsadakorn,

Lawong,

Julsri

2023

KEM

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Sheet metal shaping for advanced high strength (AHS) steel sheets is commonly utilized in the manufacturing of automobile components. This helps to decrease the weight of new structures and increase the crashworthiness performance of these structures. The phenomenon known as springback deviation plays a significant role in creating such components via deformation and fracture. This study investigated the production of an S-rail from components made of steel grade 780 with a thickness of 1 millimeter by employing appropriate simulations using finite elements (FE) and generation. The materials were initially tested in order to collect the necessary parameter sets for the models being employed. The Barlat89 yield function, the Y-U kinematic hardening model, and a model combining the Y-U kinematic hardening model with the Barlat89 yield function were all used in the simulations. In addition, the forming limit curves (FLCs were utilized to assess the computed formabilities and served as the failure criteria. The deformation, springback effect, deviations, and twist springback of the components developed after the S-rail forming were subsequently studied, measured, and the findings compared. It was discovered that the proposed yield criteria and kinematic hardening models could accurately predict the formability of the material without causing any damage. The strain distributions acquired from the Y-U kinematic hardening indicated that the sidewall curl area was slightly larger than what was predicted by previous models. The model combining the Y-U kinematic hardening model with the Barlat89 yield function produced the most accurate predictions for overall springback effect, deviations, and twist springback of the AHS steel sheets.

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Section: Introductionmentioning

confidence: 99%

Numerical Study of Predicting Forming Process Based on Different Hardening Models in Advanced High Strength Steel Sheets

Sanrutsadakorn,

Lawong,

Julsri

2023

KEM

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“…Ghafoor S. et al [16] used ultrasonic vibration to effectively improve the forming forces, relieve the stress concentration phenomenon, and reduce the forming geometry errors. Liao J. et al [17] investigated the effect of temperature and ultrasonic vibration on the forming accuracy of PEEK sheets and showed that ultrasonic vibration at 60°C and 100°C helped to refine the grains and improve the accuracy. Praveen K. et al [18] used double-sided incremental forming to improve the forming accuracy by customizing the tool to apply specific support forces on the bottom surface.…”

Section: Introductionmentioning

confidence: 99%

Hydrostatic support and ultrasound-assisted SPIF error and process parameter optimization study

Jing

Zheng²,

Yang³

et al. 2023

Preprint

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To solve the problems of overhanging back of the part and difficult forming and to improve the accuracy of single-point incrementally formed parts, considering many error influencing factors, this paper introduces hydrostatic support and ultrasonic vibration-assisted technology into single-point incremental forming and investigates the influence of process parameters on the geometric shape error of formed parts under the conditions of hydrostatic support and ultrasonic vibration, taking the conical table part as the object. A four-factor, three-level process experiment with static pressure, amplitude, frequency, and tool head diameter as variables was designed using Box-Behnken Design, modeled by the least squares method in the response surface method, and optimized by the satisfaction function. The results show that the static pressure support and ultrasonic vibration can effectively reduce the error of the part, and the error is minimized when the static pressure value is 0.058 MPa, the amplitude is 0.019 mm, the vibration frequency is 25 KHz, and the tool head diameter is 15.7 mm. The method and conclusions presented in this paper can provide a reference for the study of single-point increments of hydrostatic support-ultrasonic vibration.

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“…The distribution of elastic modulus was affected by both the initial stress and residual stress, which resulted in a nonlinear shift in the stress path. Liao et al [26] study on the improved molding process for PEEK-optimized tools sought to eliminate springback and distortion. The distortion of PEEK components and springback were successfully reduced.…”

Section: Introductionmentioning

confidence: 99%

Finite element modeling for analyzing the production of high-strength steel sheets for automobile parts

Sanrutsadakorn,

Jhonthong,

Julsri

2023

Preprint

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An investigation was conducted on developing components from high-strength steel sheet grade 590, with a thickness of 2.40 millimeters using finite element analysis, with a focus on predicting springback and deviation behavior. This study centered on the manufacturing process of a Member C inner workpiece. The research comprised a comprehensive examination of chemical composition, microstructural analysis, and mechanical property testing to establish suitable material models for the forming process. The purpose of this study was to evaluate the accuracy of three separate material models, namely the Barlat89 yield criteria, the Y-U model, and the Barlat89 yield criteria + Y-U model. A cyclic tension-compression tests was used to determine the parameters of the Barlat89 yield criteria + Y-U model, which were then confirmed using the 1-element model. The manufactured samples predicted bend angles and the results of the experimental measurements were very consistent. Barlat89 yield criteria, Y-U model, and Barlat89 yield criteria + Y-U kinematic hardening model were used to predict the strain distribution springback and deviation behavior within the produced components. The results indicated that all three material models produced similar results concerning strain distribution. The material model based on Barlat89 yield criteria + Y-U model was determined to have the least inaccuracy when all seven sections were averaged, with angle θ1L equaling 93.66 degrees and angle θ1R equaling 93.13 degrees, underscoring its superior performance in predicting springback. The deviation behavior from the three material model simulations was very comparable. Consequently, it can be concluded that the Barlat89 yield criteria + Y-U model represented the most precise and suitable choice for simulating the formation of the Member C inner component.

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Twist springback and microstructure analysis of PEEK sheets in ultrasonic-assisted thermal incremental forming

Cited by 9 publications

References 31 publications

Numerical Study of Predicting Forming Process Based on Different Hardening Models in Advanced High Strength Steel Sheets

Numerical Study of Predicting Forming Process Based on Different Hardening Models in Advanced High Strength Steel Sheets

Hydrostatic support and ultrasound-assisted SPIF error and process parameter optimization study

Finite element modeling for analyzing the production of high-strength steel sheets for automobile parts

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