The International Journal of Advanced Manufacturing Technology

Abstract In fastener production, ensuring consistent product quality is essential to protect the safety and performance of components used in demanding applications. Although mechanical sorting equipment and early generations of machine-vision technology have successfully handled dimensional and structural checks, the reliable identification of surface flaws remains difficult. Recent progress in …

Paper
Yash Gopal Mittal·...·Dixita Arvind Yadav
2d ago

Abstract Additive Manufacturing (AM) is a non-conventional manufacturing process that enables the physical realization of components through layer-by-layer material deposition. Among the different AM techniques, Screw Extrusion Additive Manufacturing (SEAM) uses an extruder screw system that allows continuous extrusion and selective deposition of material during the printing process. However, sim…

Abstract Residual stress heterogeneity in laser powder bed fusion (L-PBF) components arises from the inherent temperature-gradient mechanism of the process and is subsequently modified by post-processing and finishing. Although L-PBF residual stresses have been studied in isolation, the cumulative effect of full manufacturing chains and the decisive role of operation sequencing on residual stress…

Paper
GUSTAVO ANDRE VACCARI·...·Mauricio Rodrigues Policena
7d ago

Abstract The fabrication of molds for injection molding of polymeric materials using 3D printing from tool steels is increasingly being considered due to its potential for higher productivity compared to conventional manufacturing processes. Understanding the mechanical and microstructural properties of these materials is essential for evaluating their application in tooling. This study investiga…

Paper
Rodrigo Marcel Araujo Oliveira·...·Paulo Henrique Ferreira
17d ago

Abstract The integration of Machine Learning (ML) into advanced manufacturing is a key enabler of Industry 4.0, supporting intelligent quality control and early fault detection. Despite recent advances, challenges remain regarding the interpretability and adaptability of multiclass classification models operating under uncertainty in industrial environments. This paper proposes a hybrid approach …

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