Optimization of Process Parameters for Surface Roughness and Milling Power of AL7075 CNC Milling Based on a Hybrid Multi-Objective Particle Swarm Optimization Integrating Whale Optimization Algorithm

In the process of computer numerical control (CNC) corner milling, surface roughness and milling power are two important objectives. Surface roughness can reflect the machining quality to a certain extent, while the milling power can characterize the machining energy consumption. If the process para...

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Vydáno v:	Integrating materials and manufacturing innovation Ročník 14; číslo 3; s. 401 - 424
Hlavní autoři:	Yang, Yang, Wei, Xinbei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Cham Springer International Publishing 01.09.2025 Springer Nature B.V
Témata:	Accuracy Algorithms Avalanche diodes Characterization and Evaluation of Materials Chemistry and Materials Science Design optimization Efficiency Energy consumption Genetic algorithms Manufacturing Materials Science Metallic Materials Milling (machining) Multiple objective analysis Nanotechnology Neural networks Numerical controls Objectives Optimization algorithms Particle swarm optimization Process parameters Product quality Structural Materials Support vector machines Surface roughness Surfaces and Interfaces Technical Article Thin Films Transistor logic Hybrid algorithms Machining dynamics Parameters optimization Energy efficient milling Surface roughness CNC milling
ISSN:	2193-9764, 2193-9772
On-line přístup:	Získat plný text
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