Prediction of forming temperature in electrically-assisted double-sided incremental forming using a neural network

Jiang, Zilin; Ehmann, Kornel F.; Cao, Jian

doi:10.1016/j.jmatprotec.2021.117486

Cited by 25 publications

(15 citation statements)

References 28 publications

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“…In fact, this hybrid incremental process benefits from the induced temperature that makes the sheet more ductile, which exhibits a good geometric accuracy of the finished product under lower forming force. Jiang et al 22 used artificial neural network (ANN) framework to predict this induced temperature in electrically assisted double sided forming of the same titanium alloy. In fact, it is usually very difficult to record and control the temperature since it is concentrated in the localized forming zone and hided by the tool body.…”

Section: Hybrid Incremental Forming Technicsmentioning

confidence: 99%

“…In addition, the mastery of this key parameter in heating assisted ISF process helps to avoid microstructure changes causing material weaknesses during the process. Many sources of heating have been used in this hybrid incremental process such as electric source, 21,22 convection, 23 friction 24,25 conduction, 26,27 radiation, 28,29 and sometimes the combination between these technics like the combination between friction generated by rotated electrode used as ISF tool.…”

Section: Technologies Of Incremental Sheet Formingmentioning

confidence: 99%

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The incremental sheet forming; technology, modeling and formability: A brief review

Said

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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The constant need to improve manufacturing processes and production methods, with the aim of making these processes more flexible and precise, and subsequently solving problems of conformity, quality of manufactured parts and productivity, drives manufacturers to develop original manufacturing techniques. The incremental sheet metal forming process, one of these novel techniques, has attracted a great deal of attention in recent decades. This paper presents a review of recent work done in this area and captures ideas for future work based on studies conducted by several researchers. A review of advanced investigations considering the following terms of interest: process, tools, formability, modeling and simulation is developed. Overall, it can be said that ISF process still requires further research to exploit the fabrication of new materials such as novel nanocomposites and Functionally graded materials (FGM). Test the performance of 4- and 5-axis CNC machines to manufacture industrial parts. Finally, apply new hybrid technics at the aim to improve the geometric accuracy, formability and the productivity of ISF process.

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Section: Hybrid Incremental Forming Technicsmentioning

confidence: 99%

Section: Technologies Of Incremental Sheet Formingmentioning

confidence: 99%

The incremental sheet forming; technology, modeling and formability: A brief review

Said

2022

Proceedings of the Institution of Mechanical Engineers, Part E:

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“…framework's suitability for complex sheet metal forming to optimise the tool path planning. Jiang et al [27] proposed the ANN framework's use in electric heating SPIF systems to study the measured temperature and forming force and apply neurons and predict the outcome according to the process parameters. The predicted values can be further used in microstructural revolution, which provides clear evidence that machine learning is applicable in heat-assisted SPIF systems to enhance the process parameters.…”

Section: Compensation and Rsm Optimisationmentioning

confidence: 99%

“…To overcome the limitations, previous research [18,19] proposed ballroller tools and multi-axis fixtures to produce a pronounced friction reduction during the process and enable a significant increase in wall angle to improve the formability. The studies [20][21][22][23] proposed mathematical methods to compensate the tool path, and studies [24][25][26][27] applied artificial neural networks to study and improve the tool path plan to reduce the error from springback and prediction of temperature distribution during the process.…”

Section: Introductionmentioning

confidence: 99%

Heat-assisted incremental sheet forming for high-strength materials — a review

Attallah²,

Essa³

2022

Int J Adv Manuf Technol

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Single-point incremental forming (SPIF) is a sheet forming technique that deforms sheet materials incrementally to a designated shape. The process has shown high ability to deform low-strength materials for good geometrical accuracy and formability at room temperature. Deforming high-temperature alloys, such as high-strength steels and Ti-6AI-4 V, requires integrated heat sources to increase the ductility of the metal sheets for deformation. However, the integration of heating results in unpredictable thermal behaviours and impacts the formability, geometric accuracy, thickness distribution and surface quality. Considerable research efforts have invented different heating methods and designed novel tools and analytical modelling to resolve the limitations. The current challenge remains improving the localised and stable heating, functional tool design to reduce the thermal expansion and friction at the tool-surface contact area and the analysis of relationship between thermal and mechanical effects. This study aims to review the heating-assisted SPIF systems for high-strength alloy sheets to solve the current limitations. The method includes analysis of heating systems, tool, tool path design, lubricants and macro- and micro-numerical analyses. Additionally, the study aims to correlate the microstructural properties to the mechanical behaviours and subsequent effects on forming force, strain, springback, geometrical accuracy and surface quality.

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“…In recent years, machine learning has been integrated into the SPIF system in order to predict temperature and springback behaviours. Jiang et al [22] investigated the temperature prediction for an electric current SPIF process using an artificial neural network (ANN) framework. The model was trained using the temperature outputs from the finite element model (FEM) and validated with experimental data.…”

Section: Introductionmentioning

confidence: 99%

Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets

Chen

Hassan

et al. 2022

Int J Adv Manuf Technol

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Induction heating-assisted single point incremental sheet forming was established for Ti-6Al-4V thin sheets at closed and above beta-transus temperature (980 °C). In order to eliminate geometric inaccuracy and adherence of lubricant on the surface caused by elevated temperature, a cooling lubricant system was designed for the forming tool to decrease the thermal expansion and friction. A radial basis function (RBF)-based tool path optimisation was developed to study the measured geometric accuracy, temperature, and forming force. By adjusting cooling lubricant control and integrating the RBF framework, the first optimised tool path was used to collect the results and to validate with the finite element (FE) model and theoretical geometric profiles. The output data were further studied by RBF and generate a second optimised tool path. The measured geometric coordinates revealed that the error percentage has been reduced to less than 5%. Further, the microstructure evolution analysed by scanning electron microscopy (SEM) indicated noticeable oxidation and alpha-layer for temperature around 1040 °C and the phenomenon was removed at temperature closed to 950 °C. The surface roughness and energy-dispersive X-ray analysis (EDX) revealed the optimised tool path distributed significant improvement in surface quality. The cooling lubricant system indicated optimal performance with RBF optimised tool path to support constant temperature and reduce friction and lubricant adherence on the surface.

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Prediction of forming temperature in electrically-assisted double-sided incremental forming using a neural network

Cited by 25 publications

References 28 publications

The incremental sheet forming; technology, modeling and formability: A brief review

The incremental sheet forming; technology, modeling and formability: A brief review

Heat-assisted incremental sheet forming for high-strength materials — a review

Application of machine learning on tool path optimisation and cooling lubricant in induction heating-assisted single point incremental sheet forming of Ti-6Al-4V sheets

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