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Cited article:

Application of intelligent decision system based on artificial neural network in free forging of the engine main shaft

Shucong Xu, Lin Yuan and Debin Shan
The International Journal of Advanced Manufacturing Technology 133 (3-4) 1685 (2024)
https://doi.org/10.1007/s00170-024-13810-6

An implementation of robotization for the chosen hot die forging process

Marek Hawryluk and Marcin Rychlik
Archives of Civil and Mechanical Engineering 22 (3) (2022)
https://doi.org/10.1007/s43452-022-00448-y

Smart Diagnostic Expert System for Defect in Forging Process by Using Machine Learning Process

Shivlal Mewada, Anil Saroliya, N. Chandramouli, T. Rajasanthosh Kumar, M. Lakshmi, S. Suma Christal Mary, Mani Jayakumar and Samson Jerold Samuel Chelladurai
Journal of Nanomaterials 2022 (1) (2022)
https://doi.org/10.1155/2022/2567194

The Impact of the Lubricant Dose on the Reduction of Wear Dies Used in the Forging Process of the Valve Forging

Łukasz Dworzak, Marek Hawryluk and Marta Janik
Materials 14 (1) 212 (2021)
https://doi.org/10.3390/ma14010212

AUTONOMOUS AUTOMATED ACCUMULATING COMPLEX FOR THE ROBOTIZED PUNCHING PROCESS

B. O. Korobko, D. O. Storozhenko, O. G. Dryuchko, N. V. Bunjakìna and V. O. Khanyukov
Academic journal Industrial Machine Building Civil Engineering 1 (50) 5 (2018)
https://doi.org/10.26906/znp.2018.50.1089

Wear analysis of forging tools used in the hot forging processes using 3D reverse scanning techniques and cooling-lubricating system

Marek Hawryluk, Jacek Ziemba, Łukasz Dworzak, Paweł Kaczyński and Marcin Kasprzak
The International Journal of Advanced Manufacturing Technology 97 (5-8) 2009 (2018)
https://doi.org/10.1007/s00170-018-2066-y

Analysis of the influence of lubrication conditions on tool wear used in hot die forging processes

M. Hawryluk, Z. Gronostajski, J. Ziemba, et al.
Eksploatacja i Niezawodność – Maintenance and Reliability 20 (2) 169 (2018)
https://doi.org/10.17531/ein.2018.2.01

An empirical analysis of supply and manufacturing risk and business performance: a Chinese manufacturing supply chain perspective

Vikas Kumar, Ozlem Bak, Ruizhi Guo, et al.
Supply Chain Management: An International Journal 23 (6) 461 (2018)
https://doi.org/10.1108/SCM-10-2017-0319