In-process detection of cutting forces and cutting temperature signals in cryogenic assisted turning of titanium alloys: An analytical approach and experimental study
Yazarlar (5)
Munish Kumar Gupta
Opole University Of Technology, Polonya
Opole University Of Technology, Polonya
Doç. Dr. Mehmet Erdi Korkmaz Karabük Üniversitesi, Türkiye
Prof. Dr. Murat SARIKAYA Sinop Üniversitesi, Türkiye
Grzegorz Krolczyk
Opole University Of Technology, Polonya
Opole University Of Technology, Polonya
Mustafa Günay Karabük Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Mechanical Systems and Signal Processing (Q1) | ||
| Dergi ISSN | 0888-3270 Dergi Bilgileri (2022) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 04-2022 |
| Cilt / Sayı / Sayfa | 169 / 1 / 108772–0 | DOI | 10.1016/j.ymssp.2021.108772 |
| Makale Linki | http://dx.doi.org/10.1016/j.ymssp.2021.108772 | ||
| UAK Araştırma Alanları |
Üretim Teknolojileri
|
||
| Özet |
| In-process detection of cutting forces, temperature, roughness, wear etc. during machining of titanium alloys are very important. The Finite element (FE) analysis plays an important role in monitoring and detection of machining responses. It offers a high accuracy in modeling of dry cutting processes and its performance in modeling of cryogenic machining process is a matter of interest. In this context, current investigation focuses on the dry turning and LN2/CO2 cooling assisted turning process of commonly used Ti6Al4V alloy. It is very useful material in the biomedical sector, and the simulation of cutting forces and cutting temperature via finite element method (FEM) has been performed. In addition, the simulation results are validated with experimental work. The results show that the deviations between FE modeling and experimental results for the cutting temperature are the average of 5.54%, 5.18% and 8.42% for … |
| Anahtar Kelimeler |
| Cryogenic cooling | Cutting force | Cutting temperature | Finite Element Method (FEM) | In-process measurement | Titanium alloys machining |
Science Direct
In-process detection of cutting forces and cutting temperature signals in cryogenic assisted turning of titanium alloys: An analytical approach and experimental study
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 53 |
| Scopus | 56 |
| Google Scholar | 71 |