Comparison between three optimization methods for the minimization of maximum bending load and springback in wiping die bending obtained by an experimental approach

Bahloul, Riadh; Ayed, Lanouar Ben; Potiron, Alain; Batoz, Jean-Luis

doi:10.1007/s00170-009-2332-0

Cited by 13 publications

(7 citation statements)

References 36 publications

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“…Based on this literature survey two kinds of bend sequence planning methodologies are found: (1) Bend sequence planning methodologies that are aimed to reduce allowable design tolerances for individual bends during the execution of a bending sequence [7,[10][11][12][13][16][17][18][19][20][21][22][23][24] (2) Bend sequence planning methodologies aimed to reduce total bending time by reducing tool and part handling tome, collision avoidance, ergonomic aspects, and geometric constraints [5,11,[25][26][27][28][29][30][31][32][33][34][35][36][37]. It is revealed during this survey that the effects of material and process variations on the overall part accuracy during the execution of a bending sequence is not reported in literature to the best of authors knowledge.…”

Section: Review Of Bending Processmentioning

confidence: 99%

Sheet-metal bend sequence planning subjected to process and material variations

Faraz

Haq

Ali

et al. 2016

Int J Adv Manuf Technol

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CNC press-brake forming is widely used to transform sheet-metal blanks into complex three-dimensional shapes in a low quantity high variety manufacturing environment. Sheet-metal bend sequence planning is a complex combinatorial problem. Process planning and tolerance reasoning for sheet-metal forming are critical to reduce manufacturing time and to address accuracy aspects. Handling time and accuracy of sheet-metal-formed components strongly depend upon the bending sequence. Process and material variations shrink the tolerance zones and therefore their effect must be incorporated in the overall sheet-metal process planning activity. Monte Carlo simulations are used in this article to evaluate the effect of process and material variations on bending accuracy. Branch-and-bound, traveling salesman problem (TSP)-based techniques are used to identify potential feasible bending sequences. Results from the Monte Carlo simulations are used as input for sheet-metal bend sequence planning. In the case study, proposed methodology is used for available industrial sheet-metal components. Resulted tolerance zones attenuated after the probabilistic deflection analysis. Expected error input from probabilistic deflection analysis produced bending sequences which resulted in formed components within designed accuracy limits. Possibility of forming out of tolerance components is also attenuated.

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Section: Review Of Bending Processmentioning

confidence: 99%

Sheet-metal bend sequence planning subjected to process and material variations

Faraz

Haq

Ali

et al. 2016

Int J Adv Manuf Technol

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“…Most of the current works are focused on studying the crack initiation and propagation mechanism of coupler yokes in service and springback control in sheet metal bending. 11–13 However, there is no previous detailed study on process design, bending mechanism and die optimization for coupler yokes bending. In this article, based on the failure analysis of the initial bent coupler yoke with the conventional die design, a novel multi-stage bending process is proposed.…”

Section: Introductionmentioning

confidence: 99%

Mechanism and modeling of the multi-stage bending process for large-scale forgings

Pan

2018

Proceedings of the Institution of Mechanical Engineers, Part B:

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Bending process is very important for the mechanical performance of large-scale forgings. Unfortunately, the bending mechanism and failure control remain poorly understood until now. In this work, the bending processes of the forged coupler yoke which is a typical large-scale forging are comparatively evaluated. A novel multi-stage bending process is proposed to overcome defects such as fracture, scratches and local thinning occurred during the initial bending process. Based on the comparative study on deformation and failure behaviors of conventional and newly proposed processes, the multi-stage bending mechanism was deeply analyzed. Furthermore, to obtain the optimum die design, the Kriging surrogate models and the genetic algorithm were adopted to optimize the primary evaluation indexes of bending performance. Finally, the presented bending process and optimal die design were further validated by trial production. The results show that the newly proposed bending process is an efficient and low-cost method for enhancing the bending quality of large-scale forgings.

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“…Some papers have tried to establish a new approach for numerical optimization problems in the field of manufacturing. They suggest using genetic algorithms (GA) [9] recently applied as an approach to sweep a region of interest and select the optimal (or near optimal) settings to a process [10]. Liu and al.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Optimization of Single Point Incremental Forming: Comparison between Isotropic and Combined Hardening Behavior

Arfa

Bahloul

Belhadjsalah

2014

KEM

Self Cite

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Single point incremental forming (SPIF) of sheet metal is a promising process to produce small batch production and prototyping. This process consists of a controlled process of displacement performed on a three-axis CNC milling machine. In former work, the most critical factors which affected single point incremental forming process were found to be formed shape, tool size, material type, material thickness and incremental step size. The present work is focused on an optimization strategy of (SPIF) process determined by a numerical study based on finite element analyses (FEA) according to a Box-Behnken Design of Experiments. Two types of hardening behaviour laws of material are used: isotropic and combined isotropic-kinematic hardening behaviour. To do so, a set of numerical simulations are carried out for an aluminum truncated cone as geometry of a benchmark model. The simulation results include some decisions about the mechanical resistance and geometrical quality of the parts such as the thickness distribution and the magnitude of springback. In this paper, the main objective is to present an overview of multiobjective design optimization of process parameters in single point incremental forming operation in order to minimize the sheet thinning rate and the springback simultaneously. In this investigation, the steps of optimization procedure include the using of Box-Behnken experimental design for sample producing, response surface model for coarse fitting and a developed Multiobjective Genetic Algorithm (MOGA) for exact solving of fitness functions. The results show that these methods are able to determine all the best possible compromise with respect several antagonistic objectives as well as generate the approximate Pareto optimal solutions. So these will make it possible to choose the appropriate process parameters according to the objectives functions to be minimized and consequently the improvement of the products formed by the process of incremental forming.

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Comparison between three optimization methods for the minimization of maximum bending load and springback in wiping die bending obtained by an experimental approach

Cited by 13 publications

References 36 publications

Sheet-metal bend sequence planning subjected to process and material variations

Sheet-metal bend sequence planning subjected to process and material variations

Mechanism and modeling of the multi-stage bending process for large-scale forgings

Multiobjective Optimization of Single Point Incremental Forming: Comparison between Isotropic and Combined Hardening Behavior

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