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Real-Time NURBS Interpolation under Multiple Constraints

NURBS interpolation is superior to traditional linear or circular interpolation in terms of code size, surface quality, and machining efficiency. However, with the increasing demands for high-accuracy and efficient machining, NURBS interpolation has faced a growing number of challenges. Many researc...

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Detalles Bibliográficos
Autores principales: Nie, Mingxing, Wan, Yaping, Zhou, Aijun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129939/
https://www.ncbi.nlm.nih.gov/pubmed/35619756
http://dx.doi.org/10.1155/2022/7492762
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author Nie, Mingxing
Wan, Yaping
Zhou, Aijun
author_facet Nie, Mingxing
Wan, Yaping
Zhou, Aijun
author_sort Nie, Mingxing
collection PubMed
description NURBS interpolation is superior to traditional linear or circular interpolation in terms of code size, surface quality, and machining efficiency. However, with the increasing demands for high-accuracy and efficient machining, NURBS interpolation has faced a growing number of challenges. Many researchers are actively involved in this field with great interest. Due to the special form of NURBS curve, there is a nonlinear relationship between its curve and arc length; feed fluctuations and mechanical shocks which are caused during the interpolation process will seriously affect the surface accuracy and quality of machined parts. To solve these problems, a real-time NURBS interpolation is proposed under multiple constraints (RNIC) in this paper. First, the formulas of the constrained feedrate under geometric errors, kinematic constraints, drive constraints, and contour errors are given. Then, the two stages for the proposed interpolation are established. The former stage is offline preprocessing stage, which aims to quickly find feedrate sensitive areas (FSAs), while the latter online stage is the real-time interpolation, which is responsible for smoothing the velocity. In the preprocessing stage, we utilized FSA scan module and feedrate adjustment module to detect the FSAs and adjust the feedrate at the start/end of each subsegment by a bidirectional scanning algorithm. Each segment contains acceleration and deceleration (some contains uniform speed) stages, which can be well matched with the processing process of acceleration and deceleration. Finally, according to the proposed method and the adaptive speed adjustment method, the simulation of a “butterfly-shaped” NURBS curve using the S-shaped ACC/DEC algorithm is carried out, which verifies the reliability and effectiveness of the proposed algorithm.
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spelling pubmed-91299392022-05-25 Real-Time NURBS Interpolation under Multiple Constraints Nie, Mingxing Wan, Yaping Zhou, Aijun Comput Intell Neurosci Research Article NURBS interpolation is superior to traditional linear or circular interpolation in terms of code size, surface quality, and machining efficiency. However, with the increasing demands for high-accuracy and efficient machining, NURBS interpolation has faced a growing number of challenges. Many researchers are actively involved in this field with great interest. Due to the special form of NURBS curve, there is a nonlinear relationship between its curve and arc length; feed fluctuations and mechanical shocks which are caused during the interpolation process will seriously affect the surface accuracy and quality of machined parts. To solve these problems, a real-time NURBS interpolation is proposed under multiple constraints (RNIC) in this paper. First, the formulas of the constrained feedrate under geometric errors, kinematic constraints, drive constraints, and contour errors are given. Then, the two stages for the proposed interpolation are established. The former stage is offline preprocessing stage, which aims to quickly find feedrate sensitive areas (FSAs), while the latter online stage is the real-time interpolation, which is responsible for smoothing the velocity. In the preprocessing stage, we utilized FSA scan module and feedrate adjustment module to detect the FSAs and adjust the feedrate at the start/end of each subsegment by a bidirectional scanning algorithm. Each segment contains acceleration and deceleration (some contains uniform speed) stages, which can be well matched with the processing process of acceleration and deceleration. Finally, according to the proposed method and the adaptive speed adjustment method, the simulation of a “butterfly-shaped” NURBS curve using the S-shaped ACC/DEC algorithm is carried out, which verifies the reliability and effectiveness of the proposed algorithm. Hindawi 2022-05-17 /pmc/articles/PMC9129939/ /pubmed/35619756 http://dx.doi.org/10.1155/2022/7492762 Text en Copyright © 2022 Mingxing Nie et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Nie, Mingxing
Wan, Yaping
Zhou, Aijun
Real-Time NURBS Interpolation under Multiple Constraints
title Real-Time NURBS Interpolation under Multiple Constraints
title_full Real-Time NURBS Interpolation under Multiple Constraints
title_fullStr Real-Time NURBS Interpolation under Multiple Constraints
title_full_unstemmed Real-Time NURBS Interpolation under Multiple Constraints
title_short Real-Time NURBS Interpolation under Multiple Constraints
title_sort real-time nurbs interpolation under multiple constraints
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129939/
https://www.ncbi.nlm.nih.gov/pubmed/35619756
http://dx.doi.org/10.1155/2022/7492762
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