Comparative study of I-optimal design and definitive screening design for developing prediction models and optimization of average surface roughness of PLA printed parts using fused deposition modeling

Abas, Muhammad; Habib, Tufail; Noor, Sahar; Khan, Khushal Muhammad

doi:10.1007/s00170-022-10784-1

Cited by 11 publications

(7 citation statements)

References 36 publications

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“…Similar to other studies using PLA, regression models developed in this study have shown satisfactory results in confirmation tests with RE less than 10%. Therefore, developed regression models can be considered adequate for the prediction of tensile, flexural, and compressive properties of 3D-printed Tough PLA material [27,28]. An increase in compressive maximum force F m,c and modulus E c can be observed when decreasing layer height and increasing wall thickness and infill density, which are in line with other studies [54,55].…”

Section: Confirmation Testssupporting

confidence: 86%

“…The performance metrics for all six models are summarized in Table 10. Coefficients of determination R and R are in good agreement and with the difference between them of less than 0.2 (20%), which indicates that the models are expected to predict new unseen data with satisfactory accuracy [28]. Adequate precision (signal-to-noise ratio) for all models is greater than 4; hence, all models can be used to navigate design space.…”

Section: Anova and Regression Models For Prediction Of Tough Pla Mech...mentioning

confidence: 80%

Section: Confirmation Testsmentioning

confidence: 99%

“…DSD allows variation of continuous factors on three (low, middle, and high) and categorical on two levels (low and high). In a review of the literature, DSD has been conducted in FDM to determine the impact of layer height, deposition angle, infill, extrusion speed, extrusion temperature, air gap, build orientation, road width, number of contours, and bed temperature for PLA and PC-ABS on creep deformation, flexural properties, tribological properties, surface roughness, and dimensional accuracy [24][25][26][27][28][29]. In addition, DSD was used to develop regression prediction models to predict the properties of FDM material and presented with adequate predictability [30,31].…”

Section: Introductionmentioning

confidence: 99%

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Investigation and Prediction of Tensile, Flexural, and Compressive Properties of Tough PLA Material Using Definitive Screening Design

Al-Tamimi,

Pandžić,

Kadrić

2023

Polymers

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The material extrusion fused deposition modeling (FDM) technique has become a widely used technique that enables the production of complex parts for various applications. To overcome limitations of PLA material such as low impact toughness, commercially available materials such as UltiMaker Tough PLA were produced to improve the parent PLA material that can be widely applied in many engineering applications. In this study, 3D-printed parts (test specimens) considering six different printing parameters (i.e., layer height, wall thickness, infill density, build plate temperature, printing speed, and printing temperature) are experimentally investigated to understand their impact on the mechanical properties of Tough PLA material. Three different standardized tests of tensile, flexural, and compressive properties were conducted to determine the maximum force and Young’s modulus. These six properties were used as responses in a design of experiment, definitive screening design (DSD), to build six regression models. Analysis of variance (ANOVA) is performed to evaluate the effects of each of the six printing parameters on Tough PLA mechanical properties. It is shown that all regression models are statistically significant (p<0.05) with high values of adjusted and predicted R2. Conducted confirmation tests resulted in low relative errors between experimental and predicted data, indicating that the developed models are adequately accurate and reliable for the prediction of tensile, flexural, and compressive properties of Tough PLA material.

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Section: Confirmation Testssupporting

confidence: 86%

Section: Anova and Regression Models For Prediction Of Tough Pla Mech...mentioning

confidence: 80%

Section: Confirmation Testsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Investigation and Prediction of Tensile, Flexural, and Compressive Properties of Tough PLA Material Using Definitive Screening Design

Al-Tamimi,

Pandžić,

Kadrić

2023

Polymers

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“…The dissimilarities among these procedures lie in the variations in the used materials and the intricacies of the production procedure. The layer-by-layer deposition of polymer filaments, provided by the FDM or fused filament fabrication (FFF) technology, is recognized as a highly accessible and extensively used technological approach [10]. The operational basis of FDM 3D printers involves the extrusion of thermoplastic filaments via a heated nozzle.…”

Section: Introductionmentioning

confidence: 99%

An Insight into the Characteristics of 3D Printed Polymer Materials for Orthoses Applications: Experimental Study

Mian,

Abouel Nasr,

Moiduddin

et al. 2024

Polymers

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Knee orthoses assist patients with impaired gait through the amendment of knee abnormalities, restoration of mobility, alleviation of pain, shielding, and immobilization. The inevitable issues with laborious traditional plaster molding procedures for orthoses can be resolved with 3D printing. However, a number of challenges have limited the adoption of 3D printing, the most significant of which is the proper material selection for orthoses. This is so because the material used to make an orthosis affects its strength, adaptability, longevity, weight, moisture response, etc. This study intends to examine the mechanical, physical, and dimensional characteristics of three-dimensional (3D) printing materials (PLA, ABS, PETG, TPU, and PP). The aim of this investigation is to gain knowledge about these materials’ potential for usage as knee orthosis materials. Tensile testing, Olympus microscope imaging, water absorption studies, and coordinate measuring machine-based dimension analysis are used to characterize the various 3D printing materials. Based on the investigation, PLA outperforms all other materials in terms of yield strength (25.98 MPa), tensile strength (30.89 MPa), and shrinkage (0.46%). PP is the least water absorbent (0.15%) and most flexible (407.99%); however, it is the most difficult to fabricate using 3D printing. When producing knee orthoses with 3D printing, PLA can be used for the orthosis frame and other structural elements, PLA or ABS for moving parts like hinges, PP for padding, and TPU or PP for the straps. This study provides useful information for scientists and medical professionals who are intrigued about various polymer materials for 3D printing and their effective utilization to fabricate knee orthoses.

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Investigation and optimization of plasma arc cutting process parameters for AISI 304 by integrating principal component analysis and composite desirability method

Hussain,

Qazi,

Abas

2023

J Braz. Soc. Mech. Sci. Eng.

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Comparative study of I-optimal design and definitive screening design for developing prediction models and optimization of average surface roughness of PLA printed parts using fused deposition modeling

Cited by 11 publications

References 36 publications

Investigation and Prediction of Tensile, Flexural, and Compressive Properties of Tough PLA Material Using Definitive Screening Design

Investigation and Prediction of Tensile, Flexural, and Compressive Properties of Tough PLA Material Using Definitive Screening Design

An Insight into the Characteristics of 3D Printed Polymer Materials for Orthoses Applications: Experimental Study

Investigation and optimization of plasma arc cutting process parameters for AISI 304 by integrating principal component analysis and composite desirability method

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