Investigation of the effect of forming parameters in incremental sheet forming using a micromechanics based damage model

Gatea, Shakir; Lü, Bin; Ou, Hengan; McCartney, Graham

doi:10.1007/s12289-018-1434-3

Cited by 27 publications

(12 citation statements)

References 43 publications

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“…To the authors' knowledge, such an experimental process has not been tested or described in the literature. In fact, in the scope of the present project, forming depth was considered an indicator of formability: forming depth is deemed as an indicator of the formability of formed parts, as described in [39][40][41][42][43][44][45][46]. Furthermore, as an aim and novelty in the scope of this paper, a prediction equation for both accuracy and formability based on weights and biases was derived, as well as the joint partitioning weight of the neural network was adopted to assess the Relative Importance (RI) of SPIF parameters on the output.…”

Section: Introductionmentioning

confidence: 99%

Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Najm

Paniti

2021

Int J Adv Manuf Technol

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Incremental Sheet Forming (ISF) has attracted attention due to its flexibility as far as its forming process and complexity in the deformation mode are concerned. Single Point Incremental Forming (SPIF) is one of the major types of ISF, which also constitutes the simplest type of ISF. If sufficient quality and accuracy without defects are desired, for the production of an ISF component, optimal parameters of the ISF process should be selected. In order to do that, an initial prediction of formability and geometric accuracy helps researchers select proper parameters when forming components using SPIF. In this process, selected parameters are tool materials and shapes. As evidenced by earlier studies, multiple forming tests with different process parameters have been conducted to experimentally explore such parameters when using SPIF. With regard to the range of these parameters, in the scope of this study, the influence of tool material, tool shape, tool-end corner radius, and tool surface roughness (Ra/Rz) were investigated experimentally on SPIF components: the studied factors include the formability and geometric accuracy of formed parts. In order to produce a well-established study, an appropriate modeling tool was needed. To this end, with the help of adopting the data collected from 108 components formed with the help of SPIF, Artificial Neural Network (ANN) was used to explore and determine proper materials and the geometry of forming tools: thus, ANN was applied to predict the formability and geometric accuracy as output. Process parameters were used as input data for the created ANN relying on actual values obtained from experimental components. In addition, an analytical equation was generated for each output based on the extracted weight and bias of the best network prediction. Compared to the experimental approach, analytical equations enable the researcher to estimate parameter values within a relatively short time and in a practicable way. Also, an estimate of Relative Importance (RI) of SPIF parameters (generated with the help of the partitioning weight method) concerning the expected output is also presented in the study. One of the key findings is that tool characteristics play an essential role in all predictions and fundamentally impact the final products.

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Section: Introductionmentioning

confidence: 99%

Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Najm

Paniti

2021

Int J Adv Manuf Technol

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“…They reported that due to the better ductility titanium grade 2 sheets exhibited better forming and fracture limits compare to the grade 4 sheets. Gatea et al 14 carried out the experimental and FE analysis for ISF process to evaluate the impact of step down, feed rate and tool diameter on formability of titanium grade and grade 2 using GTN damage model. Daleffe et al 15 have analysed ISF of CP-Ti Grade-2 at room temperature and showed that the limit wall angle for the CP-Ti grade 2 sheet of 0.5 mm thickness is 47°.…”

Section: Introductionmentioning

confidence: 99%

Process capabilities of commercially pure titanium grade 2 formed through warm incremental sheet forming

Kumar

Tandon

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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Commercially pure titanium (CP-Ti) Grade-2 has many applications due to its good weldability, strength, ductility, formability, and superior corrosion resistance. Although, CP-Ti Grade-2 can be formed at room temperature, however, it has lower ductility at room temperature. Therefore, heat treatment or thermal activation is required to increase its ductility and formability. In this paper, the process capabilities of CP-Ti Grade-2 to form the components through warm incremental sheet forming (ISF) has been investigated. To identify the optimal temperature at which CP-Ti Grade-2 sheets can be incrementally formed, straight groove tests were performed experimentally at various temperatures. Two geometries, namely, varying wall angle truncated cone, and constant wall angle truncated cone were used as test cases to evaluate the formability of CP-Ti Grade-2, in terms of limiting wall angle. The formability was also assessed through forming limit diagram obtained by Finite Element (FE) simulation. With forming limit damage criterion, fracture in the formed component was predicted with FE simulation using Abaqus Explicit software. To assess the process capabilities of CP-Ti Grade-2 sheet formed through warm ISF, thickness distribution, forming forces, geometrical accuracy, and surface roughness were analyzed through both FE simulation and experimental work.

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“…Formability is estimated as a function of petal height [12] which is an indirect measurement method in production technology. By using micrometer petal height is measured for every experimental run as shown in Fig.…”

Section: Resultsmentioning

confidence: 99%

Metallurgical and formability investigations on Al 8011 alloy upon form drilling

Suresh¹,

Rajesh

Lokanadham³

2020

SN Appl. Sci.

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The investigation of microstructural analysis is very critical in knowing the metallurgical properties of any material in the field of material science engineering. The objective of the work is to draw the information about the influence of process parameters on microstructure of Al 8011. Form drilling is a method of machining in which no chips are formed and performed by the combined action of force and thermal energy. The journal covers the microstructural variations of Al 8011 alloy upon performing the form drilling by varying process parameters. Scanning electron microscope analysis was performed after form drilling of parent material Al 8011 and formability of the material is analyzed using petal formation.

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Investigation of the effect of forming parameters in incremental sheet forming using a micromechanics based damage model

Cited by 27 publications

References 43 publications

Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Artificial neural network for modeling and investigating the effects of forming tool characteristics on the accuracy and formability of thin aluminum alloy blanks when using SPIF

Process capabilities of commercially pure titanium grade 2 formed through warm incremental sheet forming

Metallurgical and formability investigations on Al 8011 alloy upon form drilling

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