000151610 001__ 151610 000151610 005__ 20250319155217.0 000151610 0247_ $$2doi$$a10.1016/j.advengsoft.2025.103909 000151610 0248_ $$2sideral$$a143228 000151610 037__ $$aART-2025-143228 000151610 041__ $$aeng 000151610 100__ $$aZekalmi, Yasser$$uUniversidad de Zaragoza 000151610 245__ $$aNew fast micro-topography estimation algortihms for 5 axis milling 000151610 260__ $$c2025 000151610 5203_ $$aAccurately predicting the topography of machined surfaces is vital in industries like aerospace, automotive, and biomedical manufacturing. This paper introduces a novel methodology for fast and precise areal surface microtopography prediction in 5-axis CNC milling, particularly for finishing processes using ball-end milling tools. Although commercial CAM software can predict the macro-topography of a machined surface, incorporating the cutter edge geometry and its rotational movement is essential for accurately predicting the surface’s microtopography. In this work, three alternative algorithms based on the Z-Map method are proposed: (1) a parallelized version of Z-Map (MOD1) for increased computational efficiency, (2) a swept surface technique (MOD2) for more accurate simulations, and (3) a rounding technique (MOD3) for rapid, precise topography prediction by aligning cutter edge points. The user can choose one of the three algorithms based on computational resources and preferences. These are validated through experimental tests on a 5-axis milling machine under different machining conditions. The results demonstrate that the developed algorithms enhance the prediction of the machined surface’s micro-topography, significantly reducing computation time and improving accuracy compared to the traditional Z-map method 000151610 536__ $$9info:eu-repo/grantAgreement/ES/DGA/T56-23R$$9info:eu-repo/grantAgreement/ES/UZ/JIUZ-2023-IA-01 000151610 540__ $$9info:eu-repo/semantics/closedAccess$$aAll rights reserved$$uhttp://www.europeana.eu/rights/rr-f/ 000151610 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000151610 700__ $$0(orcid)0000-0003-4839-0610$$aAlbajez, José Antonio$$uUniversidad de Zaragoza 000151610 700__ $$0(orcid)0000-0001-8689-6482$$aAguado, Sergio$$uUniversidad de Zaragoza 000151610 700__ $$0(orcid)0000-0001-8055-9362$$aOliveros, María José$$uUniversidad de Zaragoza 000151610 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación 000151610 773__ $$g205 (2025), 103909 [15 pp.]$$pAdv. eng. softw.$$tADVANCES IN ENGINEERING SOFTWARE$$x0965-9978 000151610 8564_ $$s18460424$$uhttps://zaguan.unizar.es/record/151610/files/texto_completo.pdf$$yVersión publicada$$zinfo:eu-repo/date/embargoEnd/2026-03-02 000151610 8564_ $$s2671388$$uhttps://zaguan.unizar.es/record/151610/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada$$zinfo:eu-repo/date/embargoEnd/2026-03-02 000151610 909CO $$ooai:zaguan.unizar.es:151610$$particulos$$pdriver 000151610 951__ $$a2025-03-19-14:19:06 000151610 980__ $$aARTICLE