Milling optimization of GH4169 nickel–based superalloy under minimal quantity lubrication condition based on multi-objective particle swarm optimization algorithm

The surface quality of machining will greatly affect the service life of components. In this paper, to reduce the surface roughness and cutting force of nickel-based superalloy during machining, the milling parameters of GH4169 nickel-base superalloy under micro-lubrication conditions were optimized...

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Vydáno v:International journal of advanced manufacturing technology Ročník 123; číslo 11-12; s. 3983 - 3994
Hlavní autoři: Guo, Chenguang, Chen, Xiaodong, Li, Qiang, Ding, Guangshuo, Yue, Haitao, Zhang, Jianzhuo
Médium: Journal Article
Jazyk:angličtina
Vydáno: London Springer London 01.12.2022
Springer Nature B.V
Témata:
CAE) and Design
Computer-Aided Engineering (CAD
Cutting force
Cutting parameters
Diameters
Engineering
Error analysis
Industrial and Production Engineering
Lubricating oils
Mechanical Engineering
Media Management
Multiple objective analysis
Nickel
Nickel base alloys
Optimization algorithms
Optimization models
Original Article
Particle swarm optimization
Process parameters
Response surface methodology
Service life
Side milling
Sorting algorithms
Superalloys
Surface properties
Surface roughness
Teeth
Variance analysis
Multi-objective particle swarm optimization
Surface roughness
Minimal quantity lubrication
Optimization model
Cutting force
ISSN:0268-3768, 1433-3015
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Shrnutí:The surface quality of machining will greatly affect the service life of components. In this paper, to reduce the surface roughness and cutting force of nickel-based superalloy during machining, the milling parameters of GH4169 nickel-base superalloy under micro-lubrication conditions were optimized. Based on the response surface method, the influence of milling parameters (spindle speed, feed per tooth, micro-lubricating oil, and micro-lubricating pressure) on the surface roughness and cutting force was analysed; through the analysis of variance, the significant interaction effect and the regularity between each index were obtained, and the optimization models of surface roughness, redial, and axial cutting force were established; the multi-objective particle swarm optimization algorithm was used to optimize the model based on crowding distance sorting; the optimal combination of process parameters was determined to reduce surface roughness and achieve less cutting force. The research results show that the feed per tooth and the air pressure have the most obvious influence on the surface roughness; the interaction effect of the feed per tooth and the oil volume has the most significant influence on the radial and axial cutting forces. The radial and axial cutting forces show a trend of increasing with the increase of the feed per tooth, and decreasing with the increase of the oil amount; the optimal parameter combination was used to carry out the machining experiment, and the surface roughness and diameter. The relative error between the measured value of tangential cutting force and the predicted value of the model is 8.14%, the surface of the specimen is good, and the lowest surface roughness and cutting force are obtained, which has certain guiding significance for the successful research on the side milling of GH4169 nickel-based superalloy. Graphical Abstract
Bibliografie:ObjectType-Article-1
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ISSN:0268-3768
1433-3015
DOI:10.1007/s00170-022-10461-3