Effect of process parameters on the deep drawing formability of aluminum and advanced high-strength steel square cups

Mrabti, Iliass El; Bouziane, K.; Touache, Abdelhamid; Hakimi, Abdelhadi El; Chamat, A.; Daya, Abdelmajid

doi:10.1007/s00170-022-10616-2

Cited by 8 publications

(3 citation statements)

References 22 publications

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“…The S/N ratio is a metric that considers both the average value and the variability of a given quality feature. The specific formula for calculating the S/N ratio depends on the criteria used to assess the quality feature that needs to be investigated [46]. As a consequence, when the process is optimised in terms of S/N ratio, it ensures that the resulting optimal process conditions are robust and stable, indicating minimal process variation [74].…”

Section: Assessment Using the Signal-to-noise Ratiomentioning

confidence: 99%

“…The DoE methodology employs orthogonal arrays (OA) to determine the optimal number of trials and their corresponding levels [45]. Numerous types of DoE are described in the literature, such as full factorial design (FFD), central composite design (CCD), definitive screening design (DSD), Box-Behnken design (BBD), and Taguchi method [46]. In this work, Taguchi method was selected to design the OA due to its effectiveness and ability to minimise the number of experiments performed [47].…”

Section: Experimental Design Using Taguchi Orthogonal Approachmentioning

confidence: 99%

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Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components

Hasan,

Davies,

Pramanik

et al. 2023

Preprint

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The main goal of this research was to investigate the influence of additive manufacturing (AM) printing parameters on the mechanical properties and surface roughness of specimens fabricated using recycled polylactic acid (rPLA). In order to achieve this goal, significant printing parameters such as layer thickness, infill density, and nozzle temperature were selected based on prior research. A three-level L9 orthogonal array based on the Taguchi method was used in the experimental design. The mechanical properties of virgin PLA and recycled PLA printed specimens were examined and compared. To facilitate the analysis of variance (ANOVA) examination, the response data for mechanical and surface roughness parameters were transformed to signal-to-noise (S/N) ratios. The inspected responses under consideration were surface roughness, shore D hardness, tensile strength, flexural strength, and impact strength. The main findings suggested that careful consideration of the layer height was crucial for achieving optimum mechanical properties in recycled PLA specimens. Furthermore, the nozzle temperature also played an important factor that affected the mechanical and surface roughness properties of the 3D printed PLA specimens. Microscopic investigation demonstrated that the number and size of voids increased significantly when the layer thickness and temperature were low, namely 0.1 mm and 195 ℃, respectively. Finally, the optimal combination of printing parameters for each performance characteristic was determined. Following this, a confirmation test was performed using the preferred combination of parameters, which indicated a strong correlation with the outcomes predicted statistically. The results obtained from this study revealed that recycled PLA exhibited mechanical properties comparable to that of virgin PLA under certain conditions. In summary, the results of this study will serve as a valuable dataset in the field of additive manufacturing, providing valuable insights for other researchers working with recycled PLA material.

show abstract

Section: Assessment Using the Signal-to-noise Ratiomentioning

confidence: 99%

Section: Experimental Design Using Taguchi Orthogonal Approachmentioning

confidence: 99%

Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components

Hasan,

Davies,

Pramanik

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…They amalgamated the L9 orthogonal array with input parameters such as lubrication, workpiece diameter, and forming speed, while output parameters encompassed forming force and height. Mrabti et al [17] embarked on a study focusing on deep drawing processes applied to square profiles. Their research involved a combination of Analysis of Variance (ANOVA) and process parameters such as punch/die corner radius, blank holder force (BHF), workpiece thickness, and three friction coefficients between the tool and workpiece.…”

Section: Introductionmentioning

confidence: 99%

Optimization and Modelling of Fracture Height in SECC Cylindrical Cup Deep Drawing Processes

Trieu,

Luyen,

Nguyen

2024

Journal of Machine Engineering

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Deep drawing processes play a pivotal role in the manufacturing of sheet and shell products, making it a widely adopted method. This research employs numerical simulations to investigate the impact of various process parameters on the fracture height of cylindrical cups made from SECC (Steel Electrogalvanized Commercial Cold rolled) material. Specifically, it examines parameters such as blank holder force (BHF), punch corner radius (Rp), die corner radius (Rd), and punch-die clearance (Wc). The study extends to optimizing fracture height, offering a solution to this challenge. Subsequently, the selected parameters are validated through experimental deep drawing of cylindrical cups, resulting in a minimal deviation of 1.55% between simulation and experiment outcomes. A precise mathematical equation is developed to estimate fracture height under diverse machining conditions, with a maximum deviation of 4.52% observed between the mathematical model and simulation. These findings represent a substantial advancement in deep drawing processes technology, particularly in reducing error rates during the production of cylindrical cups.

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Impact of process parameters on improving the performance of 3D printed recycled polylactic acid (rPLA) components

Hasan,

Davies,

Pramanik

et al. 2024

Int J Adv Manuf Technol

View full text Add to dashboard Cite

The main goal of this research was to investigate the influence of additive manufacturing (AM) printing parameters on the mechanical properties and surface roughness of specimens fabricated using recycled polylactic acid (rPLA). In order to achieve this goal, significant printing parameters such as layer thickness, infill density, and nozzle temperature were selected based on prior research. A three-level L9 orthogonal array, based on the Taguchi method, was used in the experimental design. The mechanical properties of virgin PLA and recycled PLA printed specimens were examined and compared. To facilitate the analysis of variance (ANOVA) examination, the response data for mechanical and surface roughness parameters were transformed to signal-to-noise (S/N) ratios. The inspected responses under consideration were the surface roughness, shore D hardness, tensile strength, flexural strength, and impact strength. The main findings suggest that careful consideration of the layer height is crucial for achieving optimum mechanical properties in the recycled PLA specimens. Furthermore, the nozzle temperature also played an important factor that affected the mechanical and surface roughness properties of the 3D printed PLA specimens. Microscopic investigation demonstrated that the number and size of voids increased significantly when the layer thickness and temperature were low, namely, 0.1 mm and 195 ℃, respectively. Finally, the optimal combination of printing parameters for each performance characteristic was determined. Following this, a confirmation test was performed using the preferred combination of parameters, which indicated a strong correlation with the outcomes predicted statistically. The results obtained from this study revealed that recycled PLA exhibited mechanical properties comparable to that of virgin PLA under certain conditions. In summary, the results of this study will serve as a valuable dataset in the field of additive manufacturing, providing valuable insights for other researchers working with recycled PLA material.

show abstract

Effect of process parameters on the deep drawing formability of aluminum and advanced high-strength steel square cups

Cited by 8 publications

References 22 publications

Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components

Impact of Process Parameters on Improving the Performance of 3D Printed Recycled Polylactic Acid (PLA) Components

Optimization and Modelling of Fracture Height in SECC Cylindrical Cup Deep Drawing Processes

Impact of process parameters on improving the performance of 3D printed recycled polylactic acid (rPLA) components

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