Additive Manufacturing-Enabled Part Count Reduction: A Lifecycle Perspective Article Swipe
Sheng Yang
,
Yaoyao Fiona Zhao
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1115/1.4038922
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1115/1.4038922
Part count reduction (PCR) is one of the typical motivations for using additive manufacturing (AM) processes. However, the implications and trade-offs of employing AM for PCR are not well understood. The deficits are mainly reflected in two aspects: (1) lifecycle-effect analysis of PCR is rare and scattered; (2) current PCR rules lack full consideration of AM capabilities and constraints. To fill these gaps, this paper first summarizes the main effect of general PCR (G-PCR) on lifecycle activities to make designers aware of potential benefits and risks and discusses in a point-to-point fashion the new opportunities and challenges presented by AM-enabled PCR (AM-PCR). Second, a new set of design rules and principles are proposed to support potential candidate detection for AM-PCR. Third, a dual-level screening and refinement design framework is presented aiming at finding the optimal combination of AM-PCR candidates. In this framework, the first level down-samples combinatory space based on the proposed new rules while the second one exhausts and refines each feasible solution via design optimization. A case study of a motorcycle steering assembly is considered to demonstrate the effectiveness of the proposed design rules and framework. In the end, possible challenges and limitations of the presented design framework are discussed.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1115/1.4038922
- OA Status
- green
- Cited By
- 54
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2782891637
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2782891637Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1115/1.4038922Digital Object Identifier
- Title
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Additive Manufacturing-Enabled Part Count Reduction: A Lifecycle PerspectiveWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2018Year of publication
- Publication date
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2018-01-11Full publication date if available
- Authors
-
Sheng Yang, Yaoyao Fiona ZhaoList of authors in order
- Landing page
-
https://doi.org/10.1115/1.4038922Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://hal.science/hal-03646840Direct OA link when available
- Concepts
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Reduction (mathematics), Set (abstract data type), Perspective (graphical), Point (geometry), Computer science, Dual (grammatical number), Systems engineering, Reliability engineering, Industrial engineering, Engineering, Mathematics, Artificial intelligence, Programming language, Art, Literature, GeometryTop concepts (fields/topics) attached by OpenAlex
- Cited by
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54Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 8, 2023: 11, 2022: 9, 2021: 6Per-year citation counts (last 5 years)
- References (count)
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60Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.to | 77, 113, 177 |
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| abstract_inverted_index.(2) | 47 |
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| abstract_inverted_index.steering | 173 |
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| abstract_inverted_index.opportunities | 94 |
| abstract_inverted_index.optimization. | 166 |
| abstract_inverted_index.point-to-point | 90 |
| abstract_inverted_index.lifecycle-effect | 39 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 96 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/12 |
| sustainable_development_goals[0].score | 0.4300000071525574 |
| sustainable_development_goals[0].display_name | Responsible consumption and production |
| citation_normalized_percentile.value | 0.91943838 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |