Data Driven Optimization of Vibropeening Article Swipe
Abhay Gopinath
,
Wai Luen Chan
,
A. Senthil Kumar
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2020.02.036
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2020.02.036
Shot peening has been widely adopted as a fatigue life enhancement process, especially in the aerospace industry. High plastic deformation generated from high velocity shots impart a layer of compressive residual stresses up to sub-surface depth of about 100 microns. High surface waviness generated on the components' surface at the same time could lead to stress concentration and crack initiation, and hence an additional vibratory polishing step is needed as follow up process to reduce surface waviness caused by shot peening. This increase the process time and costs greatly despite the beneficial effect from fatigue life improvement. Vibropeening has been identified as an alternative surface treatment process which is able to induce comparable residual stress as shot peening, but with better surface finish as vibropolish in a single process. Recent studies showed that the concept of double vibratory process which incorporated an external vibration to the component on top of the vibration effect from machine, is able to reduce the process time even further to up to 50% to achieve desired outputs. In this paper, the author has investigated the effect of an additional external vibratory actuation at localized areas of the component in a vibropeening environment on Almen intensity, residual stresses and microstructure. The author also developed a smart vibropeening setup that is more suitable to the application in industrial production, enabling better process monitoring compared to conventional methods of RPM based control. The study showed that with vibratory actuation, an improvement in Almen intensity and residual stress was obtained, which could be potentially optimized further for uniform treatment of vibropeening with reduced process time.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procir.2020.02.036
- OA Status
- diamond
- Cited By
- 6
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3032288740
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3032288740Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.procir.2020.02.036Digital Object Identifier
- Title
-
Data Driven Optimization of VibropeeningWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
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2020-01-01Full publication date if available
- Authors
-
Abhay Gopinath, Wai Luen Chan, A. Senthil KumarList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procir.2020.02.036Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1016/j.procir.2020.02.036Direct OA link when available
- Concepts
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Waviness, Shot peening, Residual stress, Materials science, Polishing, Peening, Process (computing), Intensity (physics), Structural engineering, Composite material, Mechanical engineering, Computer science, Engineering, Optics, Physics, Operating systemTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2023: 2, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
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12Number 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.time | 51, 85, 161 |
| abstract_inverted_index.with | 119, 238, 262 |
| abstract_inverted_index.Almen | 198, 244 |
| abstract_inverted_index.about | 37 |
| abstract_inverted_index.areas | 189 |
| abstract_inverted_index.based | 232 |
| abstract_inverted_index.costs | 87 |
| abstract_inverted_index.could | 52, 252 |
| abstract_inverted_index.crack | 58 |
| abstract_inverted_index.depth | 35 |
| abstract_inverted_index.hence | 61 |
| abstract_inverted_index.layer | 27 |
| abstract_inverted_index.setup | 211 |
| abstract_inverted_index.shots | 24 |
| abstract_inverted_index.smart | 209 |
| abstract_inverted_index.study | 235 |
| abstract_inverted_index.time. | 265 |
| abstract_inverted_index.which | 107, 139, 251 |
| abstract_inverted_index.Recent | 129 |
| abstract_inverted_index.author | 176, 205 |
| abstract_inverted_index.better | 120, 223 |
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| abstract_inverted_index.double | 136 |
| abstract_inverted_index.effect | 92, 152, 180 |
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| abstract_inverted_index.follow | 70 |
| abstract_inverted_index.impart | 25 |
| abstract_inverted_index.induce | 111 |
| abstract_inverted_index.needed | 68 |
| abstract_inverted_index.paper, | 174 |
| abstract_inverted_index.reduce | 74, 158 |
| abstract_inverted_index.showed | 131, 236 |
| abstract_inverted_index.single | 127 |
| abstract_inverted_index.stress | 55, 114, 248 |
| abstract_inverted_index.widely | 4 |
| abstract_inverted_index.achieve | 169 |
| abstract_inverted_index.adopted | 5 |
| abstract_inverted_index.concept | 134 |
| abstract_inverted_index.desired | 170 |
| abstract_inverted_index.despite | 89 |
| abstract_inverted_index.fatigue | 8, 94 |
| abstract_inverted_index.further | 163, 256 |
| abstract_inverted_index.greatly | 88 |
| abstract_inverted_index.methods | 229 |
| abstract_inverted_index.peening | 1 |
| abstract_inverted_index.plastic | 18 |
| abstract_inverted_index.process | 72, 84, 106, 138, 160, 224, 264 |
| abstract_inverted_index.reduced | 263 |
| abstract_inverted_index.studies | 130 |
| abstract_inverted_index.surface | 41, 47, 75, 104, 121 |
| abstract_inverted_index.uniform | 258 |
| abstract_inverted_index.compared | 226 |
| abstract_inverted_index.control. | 233 |
| abstract_inverted_index.enabling | 222 |
| abstract_inverted_index.external | 142, 184 |
| abstract_inverted_index.increase | 82 |
| abstract_inverted_index.machine, | 154 |
| abstract_inverted_index.microns. | 39 |
| abstract_inverted_index.outputs. | 171 |
| abstract_inverted_index.peening, | 117 |
| abstract_inverted_index.peening. | 80 |
| abstract_inverted_index.process, | 11 |
| abstract_inverted_index.process. | 128 |
| abstract_inverted_index.residual | 30, 113, 200, 247 |
| abstract_inverted_index.stresses | 31, 201 |
| abstract_inverted_index.suitable | 215 |
| abstract_inverted_index.velocity | 23 |
| abstract_inverted_index.waviness | 42, 76 |
| abstract_inverted_index.actuation | 186 |
| abstract_inverted_index.aerospace | 15 |
| abstract_inverted_index.component | 146, 192 |
| abstract_inverted_index.developed | 207 |
| abstract_inverted_index.generated | 20, 43 |
| abstract_inverted_index.industry. | 16 |
| abstract_inverted_index.intensity | 245 |
| abstract_inverted_index.localized | 188 |
| abstract_inverted_index.obtained, | 250 |
| abstract_inverted_index.optimized | 255 |
| abstract_inverted_index.polishing | 65 |
| abstract_inverted_index.treatment | 105, 259 |
| abstract_inverted_index.vibration | 143, 151 |
| abstract_inverted_index.vibratory | 64, 137, 185, 239 |
| abstract_inverted_index.actuation, | 240 |
| abstract_inverted_index.additional | 63, 183 |
| abstract_inverted_index.beneficial | 91 |
| abstract_inverted_index.comparable | 112 |
| abstract_inverted_index.especially | 12 |
| abstract_inverted_index.identified | 100 |
| abstract_inverted_index.industrial | 220 |
| abstract_inverted_index.intensity, | 199 |
| abstract_inverted_index.monitoring | 225 |
| abstract_inverted_index.alternative | 103 |
| abstract_inverted_index.application | 218 |
| abstract_inverted_index.components' | 46 |
| abstract_inverted_index.compressive | 29 |
| abstract_inverted_index.deformation | 19 |
| abstract_inverted_index.enhancement | 10 |
| abstract_inverted_index.environment | 196 |
| abstract_inverted_index.improvement | 242 |
| abstract_inverted_index.initiation, | 59 |
| abstract_inverted_index.potentially | 254 |
| abstract_inverted_index.production, | 221 |
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| abstract_inverted_index.vibropolish | 124 |
| abstract_inverted_index.Vibropeening | 97 |
| abstract_inverted_index.conventional | 228 |
| abstract_inverted_index.improvement. | 96 |
| abstract_inverted_index.incorporated | 140 |
| abstract_inverted_index.investigated | 178 |
| abstract_inverted_index.vibropeening | 195, 210, 261 |
| abstract_inverted_index.concentration | 56 |
| abstract_inverted_index.microstructure. | 203 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5027988196 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile.value | 0.63861908 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |