Numerical Simulation and Multi-Objective Optimization of Partition Cooling in Hot Stamping of the Automotive B-Pillar Based on RSM and NSGA-II

Cui, Maomao; Wang, Zhao; Wang, Leigang; Huang, Yao

doi:10.3390/met10091264

Cited by 11 publications

(7 citation statements)

References 24 publications

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“…The analysis takes into account the thermal phenomena occurring at the contact of the blank and tools as well as those related to the heat transfer between the cooling channels and the tool. Similar analyses were shown in works [ 23 , 24 , 25 , 26 , 27 ], with attention paid to the methodology of optimal selection of dimensions and location of cooling channels with the use of genetic algorithms and the parameters of the process itself using the Taguchi method. Paper [ 28 ] presents the simulation results of the hot forming process together with the analysis of the flow of the cooling medium.…”

Section: Introductionsupporting

confidence: 66%

Analysis of Hot Stamping Tool Cooling System—A Case Study

Danielczyk

Wróbel

2021

Materials

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One of the important steps in the design of hot stamping tools is the analysis of their cooling system. This article presents an authorial, two-stage approach to solving this problem. The first stage consisted of a series of simulations of the hot stamping process in the Autoform package, with initial selection of shape and arrangement of cooling channels. These results allowed for the design of the tool for which the coupled thermal-flow analysis was carried out. The correctness of the adopted design assumptions has been confirmed by experimental tests. A trial series of drawpieces made in production conditions meet the requirements for hardness, mechanical properties, and appropriate microstructure. The presented procedure has become the practice of the drawpiece producers.

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Section: Introductionsupporting

confidence: 66%

Analysis of Hot Stamping Tool Cooling System—A Case Study

Danielczyk

Wróbel

2021

Materials

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“…The signal-to-noise ratio is used to measure the proportion of a factor’s contribution to the results. The maximum thinning rate and maximum thickening rate in the forming result are used as the quality indicators of the formed parts [ 25 ]. The larger maximum thinning rate and the maximum thickening rate, the larger possibility of fracture and wrinkle defects, and they are calculated according to Equations (1) and (2).…”

Section: Resultsmentioning

confidence: 99%

Multi-Objective Optimization of Process Parameters in 6016 Aluminum Alloy Hot Stamping Using Taguchi-Grey Relational Analysis

Jiang

Huang

et al. 2022

Materials

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The hot stamping technology of aluminum alloy is of great significance for realizing the light weight of the automobile body, and the proper process parameters are important conditions to obtain excellent aluminum alloy parts. In this paper, the thermal deformation behavior of 6016 aluminum alloy at a high temperature is experimentally studied to provide a theoretical basis for a finite element model. With the help of blank stamping finite element software, a numerical model of a 6016 aluminum alloy automobile windshield beam during hot stamping was established. The finite element model was verified by a forming experiment. Then, the effect of the process parameters, including blank holder force, die gap, forming temperature, friction coefficient, and stamping speed on aluminum alloy formability were investigated using Taguchi design, grey relational analysis (GRA), and analysis of variance (ANOVA). Stamping tests were arranged at temperatures between 480 and 570 °C, blank holder force between 20 and 50 kN, stamping speed between 50 and 200 mm/s, die gap between 1.05 t and 1.20 t (t is the thickness of the sheet), and friction coefficient between 0.15 and 0.60. It was found that the significant factors affecting the forming quality of the hot-stamped parts were blank holder force and stamping speed, with influence significance of 28.64% and 34.09%, respectively. The optimal parameters for hot stamping of the automobile windshield beam by the above analysis are that the die gap is 1.05 t, the blank temperature is 540 °C, the coefficient of friction is 0.15, stamping speed is 200 mm/s, and blank holder force is 50 kN. The optimized maximum thickening rate is 4.87% and the maximum thinning rate is 9.00%. The optimization method used in this paper and the results of the process parameter optimization provide reference values for the optimization of hot stamping forming.

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“…The approach of using Multi-objective Evolutionary Algorithms (MOEA) to explore stamping parameters has been applied in some works in recent years [1] [10] [15]. The application of such algorithms aims to explore various scenarios previously impossible using numerical simulation methodology.…”

Section: Introductionmentioning

confidence: 99%

Surrogate Model and Multi-objective Evolutionary Algorithm Applied to Automotive Stamping

Silva,

Carneiro,

Tepedino

et al. 2024

Anais Do XVI Congresso Brasileiro De Inteligência Computacional

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Automotive parts stamping is a process of forming metallic parts that are used in the manufacture of automobiles, such as the Internal Tailgate. The problem is characterized as a multi-objective optimization problem, as it involves the optimization of multiple antagonistic objectives simultaneously. In this study, we used the Extra Trees multivariate regression algorithm to characterize the problem and use it as a surrogate model for the Non-dominated Sorting Genetic Algorithm II. Our goal is to explore the possibilities of simultaneously minimizing Fracture, Insufficient Elongation, and Wrinkling. In addition, we apply data correlation analysis and machine learning model sensitivity analysis tools to assess the quality of the surrogate model and allow preliminary decision-making. The tools of data correlation analysis and sensitivity analysis of the Machine Learning model are applied to assess the quality of the surrogate model and allow prior decision-making. The results achieved when using the proposed approach with these auxiliary tools help to establish an efficient model, identify suitable stamping parameters, and reduce the costs associated with conducting empirical research conducted by experts in the field.

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Numerical Simulation and Multi-Objective Optimization of Partition Cooling in Hot Stamping of the Automotive B-Pillar Based on RSM and NSGA-II

Cited by 11 publications

References 24 publications

Analysis of Hot Stamping Tool Cooling System—A Case Study

Analysis of Hot Stamping Tool Cooling System—A Case Study

Multi-Objective Optimization of Process Parameters in 6016 Aluminum Alloy Hot Stamping Using Taguchi-Grey Relational Analysis

Surrogate Model and Multi-objective Evolutionary Algorithm Applied to Automotive Stamping

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