A comprehensive review in incremental forming on approaches of deformation analysis and surface morphologies

Kumar, Santosh; Elangovan, S.; Mohanraj, R.; Boopathi, S.

doi:10.1016/j.matpr.2021.01.599

Cited by 3 publications

(1 citation statement)

References 40 publications

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“…Sheet-metal CNC (Computer Numerical Control) incremental forming is a flexible and economical flexible forming technology [1]. Compared with the traditional sheet-metal forming, this technology is suitable for small-batch and multi variety production, which has advantages of high formability, high flexibility, and low cost [2].…”

Section: Introductionmentioning

confidence: 99%

Research on the Negative Multistage Incremental Forming of Straight-Wall Parts Based on the Extrusion from the Forward and Reverse Side of the Sheet

Cheng

Zhu

Jung

2022

Metals

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Because the forming area involved in traditional reverse multistage incremental forming is only located inside the model, the sheet-metal thinning rate is relatively large. Particularly, the straight-wall parts with a narrow internal space cannot be formed using traditional multistage incremental forming. Therefore, a negative multistage incremental forming that extrudes the sheet from the forward and the reverse side of the straight-wall part is proposed in this paper. In this method, firstly, the auxiliary surface is generated to divide the straight-wall part model into three forming regions; secondly, the first- and second-stage forming are carried out from the forward side of the straight-wall part with support, respectively; Thirdly, the third-stage forming is carried out from the forward side of the straight-wall part without support. The software system for auxiliary-surface generation, the straight-wall parts partition, each intermediate-stage-forming model, and each stage-forming toolpath generation was developed by using C++, VC++, and OpenGL library. In order to verify the feasibility of the proposed method in this paper, the forming experiments of a 1060 aluminum sheet were conducted using traditional reverse multistage forming and the proposed method in this paper, and the forming effects were compared and analyzed. The results show that compared with traditional reverse multistage incremental forming with forward-side extrusion, the multistage incremental forming method with the forward and the reverse-sided extrusion proposed in this paper can increase the area of the sheet participating in the deformation and avoid the problem of excessive thinning of sheet thickness, especially suitable for the straight-wall part model with narrow internal space.

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Section: Introductionmentioning

confidence: 99%

Research on the Negative Multistage Incremental Forming of Straight-Wall Parts Based on the Extrusion from the Forward and Reverse Side of the Sheet

Cheng

Zhu

Jung

2022

Metals

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Development of Flexible Mechanism for Two-Point Incremental Forming

Kumar

Elangovan

Mohanraj

et al. 2022

Advances in Forming, Machining and Automation

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A machine learning approach for simulation of multi-stage laser forming process

Yamada

KUSHIDA²,

WADA

et al. 2023

JAMDSM

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Bending angle obtained in laser forming process is much smaller than that in conventional die pressing or roller bending processes. Therefore, multi-stage forming is necessary to form deep drawn shapes and/or complex shapes by laser forming. However, laser irradiation varies material properties, posture, and stiffness of metal plates, and those influences are accumulated during the consecutive stages of process. Thus, thermo-elastoplastic deformation models in theoretical analysis cannot predict the final shape precisely. Regarding this problem, authors propose a laser forming simulator, which employs the artificial neural network to correlate the process parameters and the deformation of metal plates, in this study. Teaching data for machine learning of the neural network is collected through the multi-stage laser bending experiments with stainless-steel plates and a high-power diode laser. The trained network is used to simulate the plate deformation to demonstrate the feasibility of proposed method. And the influences of network structure on machine learning are investigated, and the influences of conditions are discussed in aspect of prediction accuracy. Trained neural network acquired a relationship between the irradiating conditions and the deformation of plates, and work as a simulator to predict the shape of plates formed by consecutive bent at laser scanning paths. Prediction accuracy of the simulator was same as the accuracy of shape obtained by laser bending experiments.

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A comprehensive review in incremental forming on approaches of deformation analysis and surface morphologies

Cited by 3 publications

References 40 publications

Research on the Negative Multistage Incremental Forming of Straight-Wall Parts Based on the Extrusion from the Forward and Reverse Side of the Sheet

Research on the Negative Multistage Incremental Forming of Straight-Wall Parts Based on the Extrusion from the Forward and Reverse Side of the Sheet

Development of Flexible Mechanism for Two-Point Incremental Forming

A machine learning approach for simulation of multi-stage laser forming process

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