Additive and subtractive rapid prototyping techniques: a comparative analysis of FDM &amp; CNC processes

Neuenfeldt-Junior, Alvaro; Cheiram, Marlon Leandro Henrique; Eckhardt, Moacir; Scheuer, Cristiano; Siluk, Julio Cezar Mairesse; Francescatto, Matheus Binotto

doi:10.24867/ijiem-2021-4-293

Cited by 2 publications

(1 citation statement)

References 25 publications

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“…To obtain workpieces with the required configuration and characteristics, a number of various machining operations must be used. Machining is a complex physico-chemical process which has to meet various requirements such as quality, reliability, productivity, profitability, flexibility, etc., whereby numerous controlled and uncontrolled factors influence the effectiveness of the output parameters of machining [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Surface Roughness Based on Turning Parameters and Insert Geometry

Vukelić¹,

Prica²,

Ivanov³

et al. 2022

Int. j. simul. model.

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This study is focused on dry longitudinal turning of AISI steel using CVD coated cutting inserts. The machining was conducted at different levels of cutting speed, feed, depth of cut, corner radius, rake, inclination and approach angles. Surface roughness was measured after each experiment, and statistical analysis was used to derive an empirical, regression model for arithmetical mean surface roughness. The regression model was used to theoretically minimize surface roughness, followed by additional verification experiments. The 95 % confidence interval constructed using ten additional batteries of experiments, contained the theoretically predicted minimum roughness of Ra = 0.238 μm. The mean absolute prediction error of the optimal roughness equals 0.006 μm. The results reveal practical applicability of the developed model.

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Section: Introductionmentioning

confidence: 99%

Optimization of Surface Roughness Based on Turning Parameters and Insert Geometry

Vukelić¹,

Prica²,

Ivanov³

et al. 2022

Int. j. simul. model.

View full text Add to dashboard Cite

show abstract

Cost and Time Reduction of Industrial Mold Design and Manufacturing by Implementing Additive Manufacturing for Premature Neonatal Prong

Mirnia,

Kialashaki,

Heidarzadeh

et al. 2024

CPR

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Introduction: For a long time, molding was one of the most important methods of producing metal, ceramic, and polymer materials. The two essential factors in this method were always cost and time. Technology advancements have made it possible to design in 3D using a computer and additive manufacturing. This article covers methods for using 3D printers to save time and money in the process of creating the final product. The "Prong" molds for premature neonatal respiratory aid were designed and produced based on neonatologists' considerations. Methods: The study was conducted on fifteen very low birth neonates at Alzahra Hospital in Tabriz University from September 2017 to September 2019. In the first section, we described dental plaster material for molding. When using this material, the printing material must be selected and the parameters, like melting temperature and printer speed, must be controlled to achieve acceptable quality for the final sample. CAD software can be used to print various objects if the final 3D design is appropriate. Results: We used additive manufacturing technology to create a new design and successfully resolved bubble issues at a low cost through a combination of creativity and experimentation. The new mold has cavities that allow the silicon to occupy the entire space and escape any bubbles. Conclusion: The use of 3D printers allows us to achieve the best design for the prong mold while reducing both production costs and time. The ultimate mold made of aluminum was finally produced by the CNC machine. The final product was tested at Al-Zahra Hospital in Tabriz, Iran, and the results were satisfactory, with no reports of necrosis on the babies' noses. other: none

show abstract

Additive and subtractive rapid prototyping techniques: a comparative analysis of FDM & CNC processes

Cited by 2 publications

References 25 publications

Optimization of Surface Roughness Based on Turning Parameters and Insert Geometry

Optimization of Surface Roughness Based on Turning Parameters and Insert Geometry

Cost and Time Reduction of Industrial Mold Design and Manufacturing by Implementing Additive Manufacturing for Premature Neonatal Prong

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