PUBLICATIONS
10th Conference on High Performance Cutting (CIRP-HPC 2026)
Paper A - Surface Integrity Assessment of Post-Treated Al2O3/TiCN Coatings for Cutting Tools Applications.
Abstract: This study systematically evaluates the influence of different post-treatments on CVD-coated WC–Co cutting tools. Surface morphology, residual stresses, coating adhesion, and mechanical properties were characterized using microscopy, X-ray diffraction, and Rockwell indentation. The results demonstrate how post-treatment-induced microstructural and stress modifications enhance coating integrity and crack resistance, providing guidance for optimizing coating performance and extending cutting tool service life.
https://doi.org/10.1016/j.procir.2026.03.088
Paper B - Machining performance and wear of PVD multilayer TiAlN-TiAlCrN coatings in machining 316L stainless steel
Abstract: Stainless steels have a wide range of applications due to their high corrosion resistance and strength. However, their machining remains challenging, hence limiting the performance and sustainability of machining operations. Tool wear is one of such key limiting factors, which is attributed to low thermal conductivity, work-hardening tendency and high forces in machining. In this study the performance of a new multilayer TiAlN-TiAlCrN PVD coatings with varying Cr content is compared to the commercial TiAlN reference in longitudinal machining of 316L stainless steel. In general, TiAlN-TiAlCrN coatings have higher crater wear rate than TiAlN, where high-Cr content variants are more prone to cratering. However, the new multilayer coatings have comparable or lower rate of flank and notch wear. Further analysis of crater wear revealed that the high-Cr content coatings exhibit increased oxidation and diffusion wear rates at the tool–chip interface, accelerating coating degradation.
https://doi.org/10.1016/j.procir.2026.03.084
Paper C - Towards Predictive Identification of Plastic Deformation of WC–Co Tools in High-Speed Machining, Part 1: Multi-sensor approach for Onset Detection
Abstract: This study presents a multi-sensor framework for detecting and predicting the onset of plastic deformation in CVD-coated WC–Co cutting tools during high-speed machining. Force, acoustic emission, vibration, and audio signals enabled real-time identification and monitoring of deformation progression, providing a foundation for predictive tool condition monitoring.
https://doi.org/10.1016/j.procir.2026.03.041
Paper D - Towards Predictive Identification of Plastic Deformation of WC–Co Tools in High-Speed Machining, Part 2: Machining Methodologies and Characterization
Abstract: This study develops machining methodologies to intentionally generate depression- and impression-type plastic deformation in CVD-coated WC–Co tools. Feed and speed staircase tests identified distinct force signatures, geometrical changes, and microstructural characteristics. The resulting deformation maps provide a foundation for predictive monitoring and modeling of tool degradation in high-speed machining.
AIM-NEXT within Plansee Seminar Review
Metal Powder Technology 14 (2025) 89-103.
You can find the whole publication here (pg. 99).
