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Surface roughness p...
Surface roughness prediction method of titanium alloy milling based on CDH platform
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Liu, X. (författare)
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Sun, Y. (författare)
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Yue, C. (författare)
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Wei, X. (författare)
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Sun, Q. (författare)
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Liang, S. Y. (författare)
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- Wang, Lihui (författare)
- KTH,Hållbara produktionssystem
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Qin, Y. (författare)
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(creator_code:org_t)
- 2022-01-24
- 2022
- Engelska.
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Ingår i: The International Journal of Advanced Manufacturing Technology. - : Springer Nature. - 0268-3768 .- 1433-3015. ; 119:11-12, s. 7145-7157
- Relaterad länk:
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https://www.research...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Generally, off-line methods are used for surface roughness prediction of titanium alloy milling. However, studies show that these methods have poor prediction accuracy. In order to resolve this shortcoming, a prediction method based on Cloudera’s Distribution including Apache Hadoop (CDH) platform is proposed in the present study. In this regard, data analysis and process platform are designed based on the CDH, which can upload, calculate, and store data in real time. Then this platform is combined with the Harris hawk optimization (HHO) algorithm and pattern search strategy, and an improved Harris hawk optimization optimization (IHHO) method is proposed accordingly. Then this method is applied to optimize the support vector machine (SVM) algorithm and predict the surface roughness in the CDH platform. The obtained results show that the prediction accuracy of IHHO method reaches 95%, which is higher than the conventional methods of SVM, BAT-SVM, gray wolf optimizer (GWO-SVM), and whale optimization algorithm (WOA-SVM).
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Annan teknik -- Övrig annan teknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Other Engineering and Technologies -- Other Engineering and Technologies not elsewhere specified (hsv//eng)
- NATURVETENSKAP -- Fysik -- Astronomi, astrofysik och kosmologi (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Astronomy, Astrophysics and Cosmology (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Materialteknik -- Metallurgi och metalliska material (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Materials Engineering -- Metallurgy and Metallic Materials (hsv//eng)
Nyckelord
- CDH data platform
- IHHO-SVM algorithm
- Surface roughness prediction
- Titanium alloy milling
- Computer software
- Forecasting
- Milling (machining)
- Support vector machines
- Titanium alloys
- Data platform
- Improved harris hawk optimization optimization-support vector machine algorithm
- Optimisations
- Roughness predictions
- Support vector machines algorithms
- Titania alloy milling
- Titanium (alloys)
- Surface roughness
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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