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Surface roughness prediction method of titanium alloy milling based on CDH platform

Liu, X. (author)
Sun, Y. (author)
Yue, C. (author)
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Wei, X. (author)
Sun, Q. (author)
Liang, S. Y. (author)
Wang, Lihui (author)
KTH,Hållbara produktionssystem
Qin, Y. (author)
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 (creator_code:org_t)
2022-01-24
2022
English.
In: The International Journal of Advanced Manufacturing Technology. - : Springer Nature. - 0268-3768 .- 1433-3015. ; 119:11-12, s. 7145-7157
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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). 

Subject headings

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)

Keyword

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

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