Multi-objective Optimization of Cutting Parameters for Machining Process of Ni-Rich NiTiHf High-Temperature Shape Memory Alloy Using Genetic Algorithm
Yükleniyor...
Dosyalar
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer International Publishing Ag
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This study focuses on optimizing cutting parameters of NiTiHf high-temperature shape memory alloys using a multi-objective optimization method. The empirical models are used to predict outputs in a turning process of Ni-rich NiTiHf and compared to experimental data. Cutting parameters, such as cutting speed, feed rate, and depth of cut, have found a great effect on performance criteria of turning processes in machining process of this alloy. These parameters were optimized by using Genetic Algorithm to obtain maximum tool life, minimum energy consumption, and maximum surface quality.
Açıklama
Anahtar Kelimeler
NiTiHf high-temperature shape memory alloy, Machinability, Optimization, Genetic algorithm, Surface-Roughness, Performance, Prediction, Forces, Vibrations, Design, Models, Speed, Kerf
Kaynak
Shape Memory And Superelasticity
WoS Q DeÄŸeri
N/A
Scopus Q DeÄŸeri
Cilt
7
Sayı
2
