000060631 001__ 60631
000060631 005__ 20210121114532.0
000060631 0247_ $$2doi$$a10.5772/61251
000060631 0248_ $$2sideral$$a97985
000060631 037__ $$aART-2015-97985
000060631 041__ $$aeng
000060631 100__ $$0(orcid)0000-0002-0544-0182$$aFernández, Ángel$$uUniversidad de Zaragoza
000060631 245__ $$aSurface Roughness Evolution Model for Finishing Using an Abrasive Tool on a Robot
000060631 260__ $$c2015
000060631 5060_ $$aAccess copy available to the general public$$fUnrestricted
000060631 5203_ $$aThe polishing process is the final step in the manufacturing workflow for many parts and tools. While previous tasks have evolved technically, the finishing of freeform surfaces is still effected mostly by hand. Many parts are rejected because no control of the process is possible. The main problems are geometrical shape deviations and no repeatability of the process. A new methodology has been developed for the passes of the abrasive on the polished part.
This research focusses on the feasibility of robotic polishing and the development of a new evolution model pertaining to the surface roughness for an abrasive tool mounted on a spherical robot. The polishing principle is mechanic and based on dry friction. The tool is multilayered with a compressive foamed core. The combination of rotational and translational movement requires the creation of a model that can predict the footprint on the polished surface. The mathematical model developed for the evolution model permits for making a prediction of the final surface quality in the function of the programmed polishing parameters. Furthermore, the model described allows for setting up polishing parameters in order to reach a desired final roughness with less than 15% deviation. Repeatability is assured and polishing time is reduced down to 1/5 of manually effected procedures.
000060631 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/PT-020000-2010-034
000060631 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000060631 590__ $$a0.615$$b2015
000060631 591__ $$aROBOTICS$$b19 / 25 = 0.76$$c2015$$dQ4$$eT3
000060631 592__ $$a0.346$$b2015
000060631 593__ $$aArtificial Intelligence$$c2015$$dQ3
000060631 593__ $$aSoftware$$c2015$$dQ3
000060631 593__ $$aComputer Science Applications$$c2015$$dQ3
000060631 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000060631 700__ $$0(orcid)0000-0003-0300-5264$$aDieste, José Antonio$$uUniversidad de Zaragoza
000060631 700__ $$0(orcid)0000-0002-8008-4819$$aJavierre, Carlos$$uUniversidad de Zaragoza
000060631 700__ $$0(orcid)0000-0001-7316-0003$$aSantolaria Mazo, Jorge$$uUniversidad de Zaragoza
000060631 7102_ $$15004$$2545$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Ingeniería Mecánica
000060631 7102_ $$15002$$2515$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Ing. Procesos Fabricación
000060631 773__ $$g9, 12 (2015)$$pInt. j. adv. robot. syst.$$tINTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS$$x1729-8806
000060631 8564_ $$s4226545$$uhttps://zaguan.unizar.es/record/60631/files/texto_completo.pdf$$yVersión publicada
000060631 8564_ $$s10355$$uhttps://zaguan.unizar.es/record/60631/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000060631 909CO $$ooai:zaguan.unizar.es:60631$$particulos$$pdriver
000060631 951__ $$a2021-01-21-11:11:27
000060631 980__ $$aARTICLE