[HTML][HTML] A review on aluminum alloys produced by wire arc additive manufacturing (WAAM): Applications, benefits, challenges and future trends

M Sarıkaya, DB Önler, S Dağlı, S Hartomacıoğlu… - Journal of Materials …, 2024 - Elsevier
Metal additive manufacturing is advancing with increasing momentum and attracting great
attention. The Wire Arc Additive Manufacturing (WAAM) process, one of the metal additive …

Recent developments and future challenges in incremental sheet forming of aluminium and aluminium alloy sheets

T Trzepieciński, SM Najm, V Oleksik, D Vasilca, I Paniti… - Metals, 2022 - mdpi.com
Due to a favourable strength-to-density ratio, aluminium and its alloys are increasingly used
in the automotive, aviation and space industries for the fabrication of skins and other …

Investigation and machine learning-based prediction of parametric effects of single point incremental forming on pillow effect and wall profile of AlMn1Mg1 aluminum …

SM Najm, I Paniti - Journal of Intelligent Manufacturing, 2023 - Springer
Today the topic of incremental sheet forming (ISF) is one of the most active areas of sheet
metal forming research. ISF can be an essential alternative to conventional sheet forming for …

Application of artificial neural networks to the analysis of friction behaviour in a drawbead profile in sheet metal forming

T Trzepieciński, SM Najm - Materials, 2022 - mdpi.com
Drawbeads are used when forming drawpieces with complex shapes to equalise the flow
resistance of a material around the perimeter of the drawpiece or to change the state of …

[HTML][HTML] Modelling and evaluation of the post-hardness and forming limit diagram in the single point incremental hole flanging (SPIHF) process using ANN, FEM and …

MT Mezher, RA Shakir - Results in Engineering, 2023 - Elsevier
In the single point incremental hole flanging (SPIHF) process, a sheet material with pre-cut
holes is deformed using the SPIF technique to generate a flange, making it an effective …

Modelling and parameter identification of coefficient of friction for deep-drawing quality steel sheets using the CatBoost machine learning algorithm and neural …

SM Najm, T Trzepieciński, M Kowalik - The International Journal of …, 2023 - Springer
The development of models for the coefficient of friction is difficult due to many factors
influencing its value and many tribological phenomena that accompany contact between …

Analysis of surface texture and roughness in composites stiffening ribs formed by SPIF process

R Al-Sabur, A Kubit, HI Khalaf, W Jurczak, A Dzierwa… - Materials, 2023 - mdpi.com
Studying roughness parameters and the topography of stiffening ribs in composite sandwich
structures is important for understanding these materials' surface quality and mechanical …

A novel strategy based on machine learning of selective cooling control of work roll for improvement of cold rolled strip flatness

P Wang, J Deng, X Li, C Hua, L Su, G Deng - Journal of Intelligent …, 2024 - Springer
Precise selective cooling control of work roll can significantly improve the cold rolled strip
flatness in steel manufacturing industry. To improve the control accuracy of the coolant …

[HTML][HTML] Finite element simplifications and simulation reliability in single point incremental forming

T Pepelnjak, L Sevšek, O Lužanin, M Milutinović - Materials, 2022 - mdpi.com
Single point incremental forming (SPIF) is one of the most promising technologies for the
manufacturing of sheet metal prototypes and parts in small quantities. Similar to other …

[HTML][HTML] Investigation of surface roughness in incremental sheet forming of conical drawpieces from pure titanium sheets

T Trzepieciński, M Szpunar, A Dzierwa, K Żaba - Materials, 2022 - mdpi.com
The article presents the results of the analysis of the influence of incremental sheet forming
process parameters on surface roughness measured on both sides of conical drawpieces …