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A Data-Driven Machi...
A Data-Driven Machining Error Analysis Method for Finish Machining of Assembly Interfaces of Large-Scale Components
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- Fan, Wei (author)
- Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China.;Univ Auckland, Dept Mech Engn, Auckland 1142, New Zealand.
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- Zheng, Lianyu (author)
- Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China.
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- Ji, Wei (author)
- Sandvik Coromant, S-12679 Stockholm, Sweden.
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- Xu, Xun (author)
- Univ Auckland, Dept Mech Engn, Auckland 1142, New Zealand.
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- Wang, Lihui (author)
- KTH,Industriell produktion
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- Zhao, Xiong (author)
- Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China.
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Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China;Univ Auckland, Dept Mech Engn, Auckland 1142, New Zealand. Beihang Univ, Sch Mech Engn & Automat, Beijing 100191, Peoples R China. (creator_code:org_t)
- 2020-12-17
- 2021
- English.
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In: Journal of manufacturing science and engineering. - : ASME International. - 1087-1357 .- 1528-8935. ; 143:4
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- To guarantee the final assembly quality of the large-scale components, the assembly interfaces of large components need to be finish-machined on site. Such assembly interfaces are often in low-stiffness structure and made of difficult-to-cut materials, which makes it hard to fulfill machining tolerance. To solve this issue, a data-driven adaptive machining error analysis and compensation method is proposed based on on-machine measurement. Within this context, an initial definite plane is fitted via an improved robust iterating least-squares plane-fitting method based on the spatial statistical analysis result of machining errors of the key measurement points. Then, the parameters of the definite plane are solved by a simulated annealing-particle swarm optimization (SA-PSO) algorithm to determine the optimal definite plane; it effectively decomposes the machining error into systematic error and process error. To reduce these errors, compensation methods, tool-path adjustment method, and an optimized group of cutting parameters are proposed. The proposed method is validated by a set of cutting tests of an assembly interface of a large-scale aircraft vertical tail. The results indicate that the machining errors are successfully separated, and each type of error has been reduced by the proposed method. A 0.017 mm machining accuracy of the wall-thickness of the assembly interface has been achieved, well fulfilling the requirement of 0.05 mm tolerance.
Subject headings
- NATURVETENSKAP -- Matematik -- Beräkningsmatematik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Computational Mathematics (hsv//eng)
Keyword
- large-scale component
- assembly interface
- machining error
- systematic error
- process error
- spatial statistical analysis
- SA-PSO
Publication and Content Type
- ref (subject category)
- art (subject category)
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