Use of Generative Design Tools in the Production of Design Products using 3D Printing Technology

Abstract

Generative design uses machine learning to emulate nature's evolutionary approach to design. Designers and engineers put design parameters such as material, size, weight, strength, manufacturing methods and costs into generative design software that explores all possible solution combinations and quickly generates hundreds or even thousands of design options. The article describes the production of a design backrest of the chair by combining several rapidly developing technologies. The selected backrest of the chair was digitized and subsequently subjected to design modifications in the Generative Design module of the Creo Parametric 7.0 system. The new design of the product was produced by means of a 3D printer to point out the possibility of saving the used production material of the design properties of the product while maintaining the required strength properties in the waste-free production method by additive technology.

Environmental drawbacks of lightweight design algorithms in material extrusion additive manufacturing: a case study

“…Modifications must respect design constraints imposed by the user [17]. In recent years, this design method has been extensively applied to AM for the redesign of parts by reducing weight [18,19].…”