DETERMINATION OF PRESS BRAKE BENDING PARAMETERS FOR HARDOX 400 STEEL
Öz
Anahtar Kelimeler
Kaynakça
- 1. Adnan, M.F., Abdullah, A.B. and Samad, Z., (2017) Springback behavior of AA6061 with non-uniform thickness section using Taguchi Method, The International Journal of Advanced Manufacturing Technology, 89(5-8,) 2041–2052, doi:10.1007/s00170-016-9221-0
- 2. Asnafi, N., (2000) Springback and fracture in v-die air bending of thick stainless steel sheets, Materials and Design, 21(3), 217-236, doi:10.1016/S0261-3069(99)00051-5
- 3. ASTM E8/E8M − 16a, (2016) Standard Test Methods for Tension Testing of Metallic Materials, ASTM International, West Conshohocken, PA, doi:10.1520/E0008_E0008M-16A, www.astm.org.
- 4. Aydemir, F. (2017) Determination of the bending parameters for hydraulic press brakes,MScThesis,Uludağ University, Institute of Science, Mechanical Engineering Department, (in Turkish).
- 5. Canteli, J.A., Cantero, J.L. and Miguelez, M.H., (2008) Experimental identification of a thermo-mechanical model for air bending, Journal of Materials Processing Technology, 203(1),267-276, doi:10.1016/j.jmatprotec.2007.09.048
- 6. Chan, W.M., Chew, H.I., Lee, H.P. and Cheok, B.T.,(2004) Finite element analysis of spring-back of V-bending sheet metal forming processes, Journal of Materials Processing Technology, 148(1), 15-24, doi:10.1016/j.jmatprotec.2003.11.038
- 7. Coelho, P.G., Faria L.O. and Cardoso J.B., (2005) Structural analysis and optimisation of press brakes, International Journal of Machine Tools & Manufacture, 45(12), 1451-1460, doi:10.1016/j.ijmachtools.2005.01.030
- 8. Duflou, J.R., Vancza, J. and Aerens, R., (2005) Computer aided process planning for sheet metal bending: A state of the art, Computers in Industry, 56(7), 747-771, doi:10.1016/j.compind.2005.04.001
Ayrıntılar
Birincil Dil
İngilizce
Konular
Makine Mühendisliği
Bölüm
Araştırma Makalesi
Yazarlar
Fatih Aydemir
0000-0002-4641-3738
Türkiye
Ali Durmuş
*
0000-0003-2487-7344
Türkiye
Kadir Çavdar
0000-0001-9126-0315
Türkiye
Yayımlanma Tarihi
30 Nisan 2022
Gönderilme Tarihi
19 Şubat 2021
Kabul Tarihi
3 Ocak 2022
Yayımlandığı Sayı
Yıl 2022 Cilt: 27 Sayı: 1
Cited By
An autonomous system design for mold loading on press brake machines using a camera platform, deep learning, and image processing
Journal of Mechanical Science and Technology
https://doi.org/10.1007/s12206-023-0740-y