Browsing by Subject "forging"

Now showing 1 - 4 of 4

Access status: Open Access ,
An evaluation of the capabilities of image-based metal component defect recognition with deep learning techniques
(Wydawnictwa AGH, 2024) Wójcik, Michał P.; Pawlikowski, Kacper; Madej, Łukasz
In the era of Industry 4.0, deploying highly specialised machine learning models trained on unique and often scarce datasets is an attractive solution for advancing automated quality control and minimising production costs. Therefore, the main aim of this research is to evaluate the capabilities of three deep learning models (ResNet-18, ResNet-50 and SE-ResNeXt-101 (32 × 4d)) in the identification of surface defects in forged products. Leveraging advanced photography techniques, including studio lighting and a shadowless box, high-quality images of complex product surfaces were acquired for the training data set. Given the relatively small size of the image dataset, aggressive data augmentation techniques were introduced during the training and evaluation process to ensure robust model generalisation ability. The results obtained demonstrate the significant impact of data augmentation on model performance, highlighting its importance in training and evaluating deep learning models with limited data. This research also emphasises the need for innovative data pre-processing strategies in an efficient and robust machine learning model delivery to the industrial environment.
Access status: Open Access ,
Computer modelling of microstructure development during multistage deformation
(2006) Nowak, Jarosław; Rauch, Łukasz
The objective of this paper is implementation of microstructure development equations and their inclusion in commercial finite element code of Forge2 software. The created module is used for prediction of microstructure evolution in hot metal forming process. Calculations were carried out based on multistage forging process. Inclusion of the structural model into the Finite Element Method (FEM) source codes creates possibilities to take into account microstructural features already at the designing stage of the final industrial process.
Access status: Open Access ,
Design and implementation of a digital infrastructure for autonomous open-die forging
(Wydawnictwa AGH, 2025) Rechenberg, Roy; Korpala, Grzegorz; Jabłońska, Magdalena; Wojtaszek, Marek; Zyguła, Krystian; Tkocz, Marek; Bednarczyk, Iwona; Kowalczyk, Karolina; Prahl, Ulrich
Open-die forging is a key process for manufacturing large components such as generator shafts and crankshafts for ship engines. Despite its industrial relevance, the process remains dependent on manual labour and operator expertise, leading to challenges in process stability, reproducibility, and efficiency. Traditional automation approaches are impractical due to the high variability and low production volumes typical of open-die forging. At the Institute of Metal Forming (IMF) at the TU Bergakademie Freiberg, a novel concept for autonomous open-die forging has been developed and tested. The system combines conventional forging equipment with advanced technologies, including industrial robotics, 3D laser scanning, thermal imaging, and modular control software. Central to the concept is a robot cell operating as a distributed system, where sensor data is used to create a digital twin of the workpiece. This enables adaptive process planning and real-time autonomous operative adjustments. A process planning tool generates pass sequences and commands for manipulator movements, while an electromechanical interface allows indirect control of the forging press. The modular software architecture, coordinated by a central core-module, ensures flexibility and facilitates integration into different production environments. Initial trials demonstrate the system’s potential to improve process stability and quality while reducing dependency on manual operation. Ongoing work focuses on refining the concept to meet industrial requirements and support advanced material applications.
Access status: Open Access ,
Tablice pomocnicze do ćwiczeń z walcownictwa i kuźnictwa
(1937) Żarnowski, Ludwik