Numerical and Experimental Study of Micro Single Point Incremental Forming Process

Xu, Shijie; Zhang, J.; Zhai, Wei; Taureza, Muhammad; Castagne, Sylvie; Danno, Atsushi

doi:10.1016/j.proeng.2017.10.836

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…20 The diversity in modeling is rather great, for example, micromechanical cutting 21 differs from those of micro electron beam welding 22 as well as from Laser Chemical Vapor Deposition (LCVD), 23 but may have some similarities with microforming. 24 The diversity in the mechanisms as well as the diversity of the phenomena and the models is evident in aggregative studies. 25 In the meantime, the computational time of the models could be reduced in various ways; besides aposteriori methods, which occur after the solution of many physics models, there are a priori methods, such as a priori expressions of solutions in terms of series or addressing the problem at solver phase (indicative for micromanufacturing 26 or more generic cases 27,28 ).…”

Section: State Of the Artmentioning

confidence: 99%

Designing a digital twin for micromanufacturing processes

Stavropoulos

Papacharalampopoulos

2022

Advances in Mechanical Engineering

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Micromanufacturing raises some interesting, yet demanding and complex issues regarding modeling and data handling. Since utilizing both of these methods seems to be the key for process optimization, and preferably in real time, their coexistence is not a straightforward task, mainly due to interoperability and computational times. This work is a first step towards creating a roadmap for the design and the implementation of digital twins, provided that the digital twin offers both process optimization and tacit knowledge aggregation towards digital twin reusability. This involves the cooperation of different mathematical tools, an automated information manipulator and a human operator. Towards presenting such a roadmap and illustrating the choice of a workflow, a classification of the potentially useful tools is also presented herein. After that, a method to connect the tools through a software platform is discussed in order for a digital twin to be implemented. Finally, numerical examples are given to prove the fact that information reduction is needed in order for the proposed data manipulation effort (in terms of both processing and storing) to be minimized.

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Section: State Of the Artmentioning

confidence: 99%

Designing a digital twin for micromanufacturing processes

Stavropoulos

Papacharalampopoulos

2022

Advances in Mechanical Engineering

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“…The reduction in part size to the micro domain is another goal, achieved by using devices installed on a scanning electron microscope [45], a conventional CNC machine modified to function as a micro incremental sheet forming system [46], different types of thin sheets from classic alloys (aluminum, cooper), stainless steels, and silver or titanium [47][48][49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Incremental Sheet Forming of Aluminum Alloy

Coman,

Mazurchevici,

Carausu

et al. 2023

Materials

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Recent developments in incremental sheet forming have resulted in the creation of novel manufacturing processes that are highly adaptable and could bring significant economic benefits for advanced technologies and low-volume production. In this manuscript, the following variables were examined: the variation in the deformation forces for a part with a pyramidal trunk shape; the variation in the deformations and thinning of the Al 3003 material during the incremental forming process; and the variation in the accuracy of the incrementally formed part and the quality of the surfaces (surface roughness). The components of the forces in the incremental forming have increasing values from the beginning of the process to the maximum value due to the hardening process. The TiN-coated tool ensures lower values of the forming components. Due to the kinematics of the forming process, deviations, especially in shape, from the part in the drawing are observed, which are shown by the radius of curvature of the side wall of the part, the appearance of a radius of connection between the wall and the bottom of the part, as well as dimensional deviations that are expressed by the variation in the forming depth. Concerning the smoothness of the surfaces, it was observed that the best roughness results were obtained in the case of the TiN-coated tool.

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“…Many scholars have found the impact of step depth on formability and some of the researchers concluded that the higher value of the Step-depth increases formability [1]- [5]. Another group of researchers [6]- [8] labeled the effect of step depth on formability and reported that the lower step depth value improves formability.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulations and Experimental Studies on the Formability of Drawing Quality Steel in Single Point Incremental Forming

Yeshiwas¹,

Krishniah²

2021

JMechE

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Based on numerical simulation and experimental studies the process parameter optimization on the formability using a 1 mm thickness Drawing Quality Steel(CR2) in Single Point Incremental Forming (SPIF)was studied. The sample shape chosen was the hayperbolic cone and fabricated using different parameter leveles. A model of numeric simulation was developed in ABAQUS explicit and then experimentally verified using a CNC milling machine. The influence of three significant control factors, namely tool radius, feeding rate, and step depth on the formability was studied. Optimization of process parameters was conducted using the L9 Taguchi orthogonal array. For optimal formability, to assess the optimum combination of process parameters, a signal noise (S/N) ratio was used. The percentage contribution of the method parameters to formability was determined by the Study of Variance (ANOVA). The findings of the study indicated that the depth of the step followed by feed rate and tool radius, was the dominant factor influencing formability. Furthermore, a good agreement (<8% error) between the numerical simulation and experimental study was seen. The study based on the Taguchi configuration of the study shows that at a feed rate (A2) 1000 mm/min, with tool radius (B1) 8 mm, and with step depth (C2) 0.8 mm, the optimal conditions for maximum formability were achieved.

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Numerical and Experimental Study of Micro Single Point Incremental Forming Process

Cited by 8 publications

References 13 publications

Designing a digital twin for micromanufacturing processes

Designing a digital twin for micromanufacturing processes

Analysis of Incremental Sheet Forming of Aluminum Alloy

Numerical Simulations and Experimental Studies on the Formability of Drawing Quality Steel in Single Point Incremental Forming

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