20.500.12556/DKUM-97374 Modeling and optimization of finish diamond turning of spherical surfaces based on response surface methodology and cuckoo search algorithm Surface roughness is one of the most significant factors to indicate the prod- uct quality. Diamond turning is an efficient and highly accurate material re- moval process to improve the surface quality of the workpiece. In the present study, the arithmetic mean absolute roughness (Ra) and total height of profile (Rt) of spherical surface during finish turning of a commercial brass alloy CuZn40Pb2 were modeled using Response Surface Methodology (RSM). The experimental investigations were carried out using the Central Composite Design (CCD) under dry conditions. The effect of cutting parameters such as spindle speed, feed rate and depth of cut) on spherical surface quality was analyzed using analysis of variance (ANOVA). A cuckoo search (CS) algorithm was used to determine the optimum machining parameters to minimize the surface roughness. Finally, confirmation experiments were carried out to verify the adequacy of the considered optimization algorithm. brass alloy diamond turning surface roughness spherical surface modeling optimization response surface methodology cuckoo search medenina struženje z diamantnim orodjem hrapavost površine sferična površina modeliranje optimizacija true false true Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering Angleški jezik Slovenski jezik https://apem-journal.org/index.html Content from this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Članek v reviji 2026-03-02 16:13:52 2026-03-02 16:13:53 2026-03-03 03:14:27 0000-00-00 00:00:00 2021 0 0 str. 326-334 no. 3 Vol. 16 Sep. 2021 0000-00-00 Zaloznikova Objavljeno apc 2021-05-31 2021-09-15 2021-10-31 621.941:669.35 87359491 10.14743/apem2021.3.403 1854-6250 APEM16-3_326-334.pdf APEM16-3_326-334.pdf 1 11E8722D071F430638146B36F8901627 7b010bea7ed698ce571f91ffbf7265ff1ca467995a3da0e32861d7e1eb119cda ec796a47-164a-11f1-a17c-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=204146 https://apem-journal.org/Archives/2021/APEM16-3_326-334.pdf 0 fa520389-164a-11f1-a17c-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=204147 http://apem-journal.org/Archives/2021/Abstract-APEM16-3_326-334.html 1 706c14b8-164a-11f1-a17c-00155d580e1a https://dk.um.si/Dokument.php?lang=slv&id=204145 Fakulteta za strojništvo Advances in production engineering & management 0 0 0