Dynamic modeling of thin-walled CFRP surface milling and the effect of chatter on surface quality Article Swipe
Fuji Wang
,
Jun Deng
,
Rao Fu
,
Yongquan Lin
,
Qingsong He
,
Xing Ma
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3034683/v1
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.21203/rs.3.rs-3034683/v1
Milling a thin-walled curved structure is prone to chattering, and the quality of the machined surface cannot be guaranteed. For carbon fiber reinforced plastic (CFRP) parts with a strong anisotropic characteristic, the tool will contact different fiber directions, resulting in a large change in dynamic cutting force and more complex chatter. Thus, this study introduced the anisotropic and laminated characteristics of CFRP into the machining dynamic model and stability domain solution prediction in milling CFRP. Meanwhile, a dynamic cutting force model under the regenerating mechanism was first proposed by considering the instantaneous fiber cutting angle and the cutting edge length of the instantaneous contact micro-element with the same fiber layer. Moreover, the dynamic model for milling this CFRP workpiece was established based on the dynamic cutting force model and dynamic characteristics of the workpiece. The stability lobe diagram was drawn, and the stable cutting regions for milling CFRP were obtained. Also, experimental verifications were conducted, and the chattering and stable machining conditions were well predicted. Compared with the stable region obtained without considering the anisotropic characteristic of CFRP, the predicted maximum peak value of the stable region increased by 49.7%, proving the accuracy of the proposed method.
Related Topics
Concepts
Materials science
Machining
Anisotropy
Enhanced Data Rates for GSM Evolution
Composite material
Stability (learning theory)
Fiber
Surface (topology)
Structural engineering
Milling cutter
Mechanical engineering
Computer science
Engineering
Geometry
Metallurgy
Optics
Mathematics
Physics
Telecommunications
Machine learning
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.21203/rs.3.rs-3034683/v1
- https://www.researchsquare.com/article/rs-3034683/latest.pdf
- OA Status
- gold
- Cited By
- 1
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380791940
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4380791940Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.21203/rs.3.rs-3034683/v1Digital Object Identifier
- Title
-
Dynamic modeling of thin-walled CFRP surface milling and the effect of chatter on surface qualityWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-06-15Full publication date if available
- Authors
-
Fuji Wang, Jun Deng, Rao Fu, Yongquan Lin, Qingsong He, Xing MaList of authors in order
- Landing page
-
https://doi.org/10.21203/rs.3.rs-3034683/v1Publisher landing page
- PDF URL
-
https://www.researchsquare.com/article/rs-3034683/latest.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.researchsquare.com/article/rs-3034683/latest.pdfDirect OA link when available
- Concepts
-
Materials science, Machining, Anisotropy, Enhanced Data Rates for GSM Evolution, Composite material, Stability (learning theory), Fiber, Surface (topology), Structural engineering, Milling cutter, Mechanical engineering, Computer science, Engineering, Geometry, Metallurgy, Optics, Mathematics, Physics, Telecommunications, Machine learningTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_date | 2023-06-15 |
| publication_year | 2023 |
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