Currently, most blade repairing methods are primarily oriented for a straight or slightly curved blade; moreover, they are based on non-contact measured point-cloud, resulting in low accuracy and significant uncertainty-related issues on the defective region during repair. Therefore, this study investigates a contact measured point method with a high accuracy to analyze the repairing of a defective twisted blade; in addition, the paper proposes a new repairing method of deforming the reference cross-sectional curves adjacent to defective cross-sectional curves recursively. In order to accomplish the aforementioned, first, an interpolation algorithm of the cross-sectional curves using B-spline is set; thereafter, a criterion of the measured point density based on the size relationship between the defective region and the blade as a whole is determined. Subsequently, the registration algorithm of the reference curve and measured points of the defective cross-sectional curve to facilitate the deforming operation is provided. An iteratively moving distribution algorithm of all control points belonging to the reference curve is proposed by this paper in order to realize curve deformation. The paper presents twisted blade repairing examples and also compares the repairing surface and the designed surface to verify the validity of the proposed method. The blade repairing method proposed in this paper is aimed to guarantee a surface smooth restoration with higher accuracy and offers good conditions for several designing and repairing cases.
The International Journal of Advanced Manufacturing Technology – Springer Journals
Published: Dec 5, 2017
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera