Towards a Numerical Approach of Finding Candidates for Additive Manufacturing-Enabled Part Consolidation Article Swipe
Sheng Yang
,
Florian Santoro
,
Yaoyao Fiona Zhao
·
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1115/1.4038923
YOU?
·
· 2018
· Open Access
·
· DOI: https://doi.org/10.1115/1.4038923
Part consolidation (PC) is one of the typical design freedoms enabled by additive manufacturing (AM) processes. However, how to select potential candidates for PC is rarely discussed. This deficiency has hindered AM from wider applications in industry. Currently available design guidelines are based on obsolete heuristic rules provided for conventional manufacturing processes. This paper first revises these rules to take account of AM constraints and lifecycle factors so that efforts can be saved and used at the downstream detailed design stage. To automate the implementation of these revised rules, a numerical approach named PC candidate detection (PCCD) framework is proposed. This framework is comprised of two steps: construct functional and physical interaction (FPI) network and PCCD algorithm. FPI network is to abstractly represent the interaction relations between components as a graph whose nodes and edges have defined physical attributes. These attributes are taken as inputs for the PCCD algorithm to verify conformance to the revised rules. In this PCCD algorithm, verification sequence of rules, conflict handling, and the optimum grouping approach with the minimum part count are studied. Compared to manual ad hoc design practices, the proposed PCCD method shows promise in repeatability, retrievability, and efficiency. Two case studies of a throttle pedal and a tripod are presented to show the application and effectiveness of the proposed methods.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1115/1.4038923
- OA Status
- green
- Cited By
- 34
- References
- 33
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2782846875Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1115/1.4038923Digital Object Identifier
- Title
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Towards a Numerical Approach of Finding Candidates for Additive Manufacturing-Enabled Part ConsolidationWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2018Year of publication
- Publication date
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2018-01-11Full publication date if available
- Authors
-
Sheng Yang, Florian Santoro, Yaoyao Fiona ZhaoList of authors in order
- Landing page
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https://doi.org/10.1115/1.4038923Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://hal.science/hal-03646841Direct OA link when available
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Computer science, Expediting, Bottleneck, Heuristic, Engineering, Artificial intelligence, Systems engineering, Embedded systemTop concepts (fields/topics) attached by OpenAlex
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34Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 5, 2022: 5, 2021: 7Per-year citation counts (last 5 years)
- References (count)
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33Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.select | 19 |
| abstract_inverted_index.stage. | 80 |
| abstract_inverted_index.steps: | 106 |
| abstract_inverted_index.tripod | 205 |
| abstract_inverted_index.verify | 150 |
| abstract_inverted_index.account | 60 |
| abstract_inverted_index.between | 126 |
| abstract_inverted_index.defined | 136 |
| abstract_inverted_index.efforts | 69 |
| abstract_inverted_index.enabled | 10 |
| abstract_inverted_index.factors | 66 |
| abstract_inverted_index.minimum | 173 |
| abstract_inverted_index.network | 113, 118 |
| abstract_inverted_index.optimum | 168 |
| abstract_inverted_index.promise | 190 |
| abstract_inverted_index.revised | 87, 154 |
| abstract_inverted_index.revises | 55 |
| abstract_inverted_index.studies | 198 |
| abstract_inverted_index.typical | 7 |
| abstract_inverted_index.Compared | 178 |
| abstract_inverted_index.However, | 16 |
| abstract_inverted_index.additive | 12 |
| abstract_inverted_index.approach | 91, 170 |
| abstract_inverted_index.automate | 82 |
| abstract_inverted_index.conflict | 164 |
| abstract_inverted_index.detailed | 78 |
| abstract_inverted_index.freedoms | 9 |
| abstract_inverted_index.grouping | 169 |
| abstract_inverted_index.hindered | 30 |
| abstract_inverted_index.methods. | 217 |
| abstract_inverted_index.obsolete | 44 |
| abstract_inverted_index.physical | 110, 137 |
| abstract_inverted_index.proposed | 186, 216 |
| abstract_inverted_index.provided | 47 |
| abstract_inverted_index.sequence | 161 |
| abstract_inverted_index.studied. | 177 |
| abstract_inverted_index.throttle | 201 |
| abstract_inverted_index.Currently | 37 |
| abstract_inverted_index.algorithm | 148 |
| abstract_inverted_index.available | 38 |
| abstract_inverted_index.candidate | 94 |
| abstract_inverted_index.comprised | 103 |
| abstract_inverted_index.construct | 107 |
| abstract_inverted_index.detection | 95 |
| abstract_inverted_index.framework | 97, 101 |
| abstract_inverted_index.handling, | 165 |
| abstract_inverted_index.heuristic | 45 |
| abstract_inverted_index.industry. | 36 |
| abstract_inverted_index.lifecycle | 65 |
| abstract_inverted_index.numerical | 90 |
| abstract_inverted_index.potential | 20 |
| abstract_inverted_index.presented | 207 |
| abstract_inverted_index.proposed. | 99 |
| abstract_inverted_index.relations | 125 |
| abstract_inverted_index.represent | 122 |
| abstract_inverted_index.abstractly | 121 |
| abstract_inverted_index.algorithm, | 159 |
| abstract_inverted_index.algorithm. | 116 |
| abstract_inverted_index.attributes | 140 |
| abstract_inverted_index.candidates | 21 |
| abstract_inverted_index.components | 127 |
| abstract_inverted_index.deficiency | 28 |
| abstract_inverted_index.discussed. | 26 |
| abstract_inverted_index.downstream | 77 |
| abstract_inverted_index.functional | 108 |
| abstract_inverted_index.guidelines | 40 |
| abstract_inverted_index.practices, | 184 |
| abstract_inverted_index.processes. | 15, 51 |
| abstract_inverted_index.application | 211 |
| abstract_inverted_index.attributes. | 138 |
| abstract_inverted_index.conformance | 151 |
| abstract_inverted_index.constraints | 63 |
| abstract_inverted_index.efficiency. | 195 |
| abstract_inverted_index.interaction | 111, 124 |
| abstract_inverted_index.applications | 34 |
| abstract_inverted_index.conventional | 49 |
| abstract_inverted_index.verification | 160 |
| abstract_inverted_index.consolidation | 1 |
| abstract_inverted_index.effectiveness | 213 |
| abstract_inverted_index.manufacturing | 13, 50 |
| abstract_inverted_index.implementation | 84 |
| abstract_inverted_index.repeatability, | 192 |
| abstract_inverted_index.retrievability, | 193 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 3 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/9 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Industry, innovation and infrastructure |
| citation_normalized_percentile.value | 0.915543 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |