Influence of process parameters on surface quality of CoCrMo produced by selective laser melting

Pupo, Y.; Monroy, Karla; Ciurana, Joaquim

doi:10.1007/s00170-015-7040-3

Cited by 61 publications

(25 citation statements)

References 15 publications

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“…To establish the optimal process parameters, an objective function (F) was determined [12,13]. This considers the relationship between the melting zone area (A1) and the penetration zone (A2), as follows: F = A1/A2 (Equation (2)), where A1 = (W1 + W3/2) × H1 (Equation (3)), in which H1 and W1 are the height and width, respectively, of the upper part of the line.…”

Section: Single-line Formation Testmentioning

confidence: 99%

“…The Ra of each specimen was recorded using the average value of five readings. To establish the optimal process parameters, an objective function (F) was determined [12,13]. This considers the relationship between the melting zone area (A 1 ) and the penetration zone (A 2 ), as follows:…”

Section: Multi-layer Formation Testmentioning

confidence: 99%

“…In addition, as shown in Figure 5, the optimal laser power and scan rate were determined using the single-line formation test, based on the objective function, F [12]. The beads produced on the substrate should form a stable line, where the melted zone and substrate are highly stable.…”

Section: Single-line Formation Testmentioning

confidence: 99%

“…The two angles (α1 and α2, Figure 5) indicate the line symmetry, which is a favorable characteristic for the overlapping of the lines. When F = 1-3, the melting zone was unstable because of the shallow penetration depth In addition, as shown in Figure 5, the optimal laser power and scan rate were determined using the single-line formation test, based on the objective function, F [12]. The beads produced on the substrate should form a stable line, where the melted zone and substrate are highly stable.…”

Section: Single-line Formation Testmentioning

confidence: 99%

“…Recently, Pupo et al [12] studied the influence of various process parameters on the surface quality of a Co-Cr alloy produced by SLM. However, the results of the study were derived using a two-dimensional (2D) single-line formation test.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

The Influence of Process Parameters on the Surface Roughness of a 3D-Printed Co–Cr Dental Alloy Produced via Selective Laser Melting

2016

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Selective laser melting (SLM), used to fabricate metallic objects with high geometrical complexity, is currently of increasing interest to the fields of medicine and dentistry. SLM-fabricated products should have highly smooth surfaces to minimize the use of post-processing procedures such as finishing and polishing. This study investigated the effect of various laser process parameters (laser power, scan rate, and scan-line spacing) on the surface roughness of a Co-Cr dental alloy that was three-dimensionally (3D) constructed via SLM. Initially, a single-line formation test was used to determine the optimal laser power (200 W) and scan rate (128.6 mm/s) that resulted in beads with an optimal profile. During subsequent multi-layer formation tests, the 3D Co-Cr body with the smoothest surface was produced using a scan-line spacing of 100 µm. The findings of this study show that laser process parameters have crucial effects on the surface quality of SLM-fabricated Co-Cr dental alloys.

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Section: Single-line Formation Testmentioning

confidence: 99%

Section: Multi-layer Formation Testmentioning

confidence: 99%

Section: Single-line Formation Testmentioning

confidence: 99%

Section: Single-line Formation Testmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Influence of Process Parameters on the Surface Roughness of a 3D-Printed Co–Cr Dental Alloy Produced via Selective Laser Melting

2016

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Advanced Materials for Laser Surface Cladding: Processing, Manufacturing, Challenges and Future Prospects

Agboola

Popoola

Sadiku

et al. 2019

Photoenergy and Thin Film Materials

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Optimization of laser powder bed fusion process parameter for the fabrication of AlSi12 using NSGA‐II and Pareto search algorithm

Balla,

Konki,

Manjaiah

et al. 2024

Materialwissenschaft Werkst

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Additive manufacturing, notably laser powder bed fusion (LPBF), excels in producing complex geometries and is widely used in the automotive, aerospace, and naval industries. Laser powder bed fusion enables the creation of components with the required stiffness and strength at a lighter weight than traditional manufacturing methods. Aluminium alloys are particularly promising for laser powder bed fusion in the automotive and aerospace sectors. To enhance the effectiveness of laser powder bed fusion‐produced components, optimized process parameters must be designed for specific materials. This study investigates the influence of processing parameters, scan speed, scan strategy, and hatch space, on the relative density, surface roughness, and microhardness of AlSi12 samples fabricated by laser powder bed fusion. A Taguchi L27 orthogonal array was used to systematically analyze the effects of these parameters. A regression model was developed and evaluated through analysis of variance using signal‐to‐noise (S/N) ratios to identify optimal parameter values. Results indicated that the scan pattern significantly affects relative density, while hatch space impacts surface roughness and microhardness. Optimal solutions were obtained through multi‐objective optimization using the non‐dominated sorting genetic algorithm (NSGA‐II) and Pareto search algorithms. Experimental validation showed average errors of 0.483 % and 0.461 % for NSGA‐II and Pareto search algorithms, respectively.

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Influence of process parameters on surface quality of CoCrMo produced by selective laser melting

Cited by 61 publications

References 15 publications

The Influence of Process Parameters on the Surface Roughness of a 3D-Printed Co–Cr Dental Alloy Produced via Selective Laser Melting

The Influence of Process Parameters on the Surface Roughness of a 3D-Printed Co–Cr Dental Alloy Produced via Selective Laser Melting

Advanced Materials for Laser Surface Cladding: Processing, Manufacturing, Challenges and Future Prospects

Optimization of laser powder bed fusion process parameter for the fabrication of AlSi12 using NSGA‐II and Pareto search algorithm

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