000102132 001__ 102132
000102132 005__ 20230519145407.0
000102132 0247_ $$2doi$$a10.3390/sym13020338
000102132 0248_ $$2sideral$$a124363
000102132 037__ $$aART-2021-124363
000102132 041__ $$aeng
000102132 100__ $$aNebot, Jaime
000102132 245__ $$aEvolutive 3D modeling: A proposal for a new generative design methodology
000102132 260__ $$c2021
000102132 5060_ $$aAccess copy available to the general public$$fUnrestricted
000102132 5203_ $$aAt present, traditional 3D modeling programs consist of a set of tools that reflect conventional means of mechanical manufacturing and have limitations in relation with the current manufacturing capacities. On the other hand, organic and morphing 3D modeling programs are designed to transform a model from one known shape to another also known shape. Generative design helps the designers to detach themselves during the design process and can provide them with completely unexpected geometrical solutions. In this paper, starting from 3D morphing techniques and genetic algorithms, a new methodology of product shape definition is developed, capable of imitating processes that occur in nature and aimed at creating new and different product designs. This methodology enables to overcome the limitations imposed by design fixation and allows better exploitation of the great possibilities granted by the new manufacturing techniques, most notably additive manufacturing. The initial process of research and information gathering gives this work a solid basis to develop the new methodology. The results of this initial process are briefly resumed in this paper in order to explain the main motivation for developing this work. The workflow of this methodology is presented as a theoretical process, since its implementation has not been, at least for the moment, put into practice. Before presenting the conclusion for this proposal, several examples have been formulated in order to help the reader to catch the point of the entire process.
000102132 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000102132 590__ $$a2.94$$b2021
000102132 592__ $$a0.54$$b2021
000102132 594__ $$a4.3$$b2021
000102132 591__ $$aMULTIDISCIPLINARY SCIENCES$$b34 / 74 = 0.459$$c2021$$dQ2$$eT2
000102132 593__ $$aChemistry (miscellaneous)$$c2021$$dQ2
000102132 593__ $$aPhysics and Astronomy (miscellaneous)$$c2021$$dQ2
000102132 593__ $$aComputer Science (miscellaneous)$$c2021$$dQ2
000102132 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000102132 700__ $$0(orcid)0000-0002-4268-7424$$aPeña, Juan A.$$uUniversidad de Zaragoza
000102132 700__ $$0(orcid)0000-0001-9279-4300$$aLópez Gómez, Carmelo$$uUniversidad de Zaragoza
000102132 7102_ $$15002$$2305$$aUniversidad de Zaragoza$$bDpto. Ingeniería Diseño Fabri.$$cÁrea Expresión Gráfica en Ing.
000102132 773__ $$g13, 2 (2021), 338 [12 pp.]$$pSymmetry (Basel)$$tSymmetry$$x2073-8994
000102132 8564_ $$s1925224$$uhttps://zaguan.unizar.es/record/102132/files/texto_completo.pdf$$yVersión publicada
000102132 8564_ $$s2657946$$uhttps://zaguan.unizar.es/record/102132/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000102132 909CO $$ooai:zaguan.unizar.es:102132$$particulos$$pdriver
000102132 951__ $$a2023-05-18-13:50:08
000102132 980__ $$aARTICLE