2018
DOI: 10.1007/s40194-018-0598-2
|View full text |Cite
|
Sign up to set email alerts
|

Design methodology for variable shell mould thickness and thermal conductivity additively manufactured

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2019
2019
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 7 publications
0
3
0
Order By: Relevance
“…Product design optimization methods including lattice, topology and variable thickness can be digitally generated and fine-tuned based on design for additive manufacturing (DfAM) rules to suit specific AM subcategory prior physical commitments. Different studies have investigated how optimized structures including honeycombs, lattice, variable thickness, build plan, process parameters (mainly from material deposition, beam shapes or spots) influence functional properties, energy intensities and related costs of high-performance metals [7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Product design optimization methods including lattice, topology and variable thickness can be digitally generated and fine-tuned based on design for additive manufacturing (DfAM) rules to suit specific AM subcategory prior physical commitments. Different studies have investigated how optimized structures including honeycombs, lattice, variable thickness, build plan, process parameters (mainly from material deposition, beam shapes or spots) influence functional properties, energy intensities and related costs of high-performance metals [7][8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, rapid tooling is important to the industries (Rooks, 2002) in terms of reducing prototyping cost. Today, the main companies who positioned themselves in the market of additively manufactured sand molds are Voxeljet, ExOne (Le Néel et al , 2018a) and various research works are available that are focused on binder jetting applications in sand casting using these printers (Zhao et al , 2018; Le Néel et al , 2018b). The available research studies have been focused on the influence of the following process parameters (Hodder and Chalaturnyk, 2019): analysis of the cast dimensional accuracy pouring aluminum alloys (Le Néel et al , 2018b); measuring the influence of the part/wall thickness on the part cooling time (Walker et al , 2018); leverages binder jetting technology to design a smart molds with sensor integrated to study the thermodynamics and physics of the casting process (Szymański and Borowiak, 2019); testing the effect of different sand graininess and different binder on the casted part roughness.…”
Section: Introductionmentioning
confidence: 99%
“…Today, the main companies who positioned themselves in the market of additively manufactured sand molds are Voxeljet, ExOne (Le Néel et al , 2018a) and various research works are available that are focused on binder jetting applications in sand casting using these printers (Zhao et al , 2018; Le Néel et al , 2018b). The available research studies have been focused on the influence of the following process parameters (Hodder and Chalaturnyk, 2019): analysis of the cast dimensional accuracy pouring aluminum alloys (Le Néel et al , 2018b); measuring the influence of the part/wall thickness on the part cooling time (Walker et al , 2018); leverages binder jetting technology to design a smart molds with sensor integrated to study the thermodynamics and physics of the casting process (Szymański and Borowiak, 2019); testing the effect of different sand graininess and different binder on the casted part roughness. Furthermore, several studies have been conducted on the generation of complex molds via the use of 3D printing: cellular structures have been designed to obtain complex aluminum (Snelling et al , 2015; Kim et al , 2018) and iron casts (Wang et al , 2019; Druschitz et al , 2017) or lattice-reinforced thickness-varying shell molds (Shangguan et al , 2018; Shangguan et al , 2017).…”
Section: Introductionmentioning
confidence: 99%