Topology optimization with manufacturing constraints: A unified projection-based approach. (October 2016)

• Record Type: Journal Article
• Authors: Vatanabe, Sandro L.; Lippi, Tiago N.; Lima, Cícero R. de; Paulino, Glaucio H.; Silva, Emílio C.N.
• Is Part Of: Advances in engineering software. Volume 100(2016)
• Page Start: 97
• Page End: 112
• Publication Date: 2016-10
• Subjects: Topology optimization -- Projection scheme -- Manufacturing constraints -- Minimum member size -- Minimum hole size; Computer-aided engineering -- Periodicals; Engineering -- Computer programs -- Periodicals; Engineering -- Software -- Periodicals; Periodicals; 620.0028553
• DOI: 10.1016/j.advengsoft.2016.07.002
• Languages: English
• ISSNs: 0965-9978

Abstract

Highlights: Manufacturing constraint techniques based on a unified projection-based approach are addressed. A projection technique combined with mapping technique is implemented to apply different kinds of manufacturing constraints in the topology optimization. A domain of design variables is projected in a pseudo-density domain to obtain a solution to the optimization problem. The minimum member size, minimum hole size, symmetry, extrusion, pattern repetition, turning, casting, forging and rolling constraints are implemented. The goal is to achieve feasible engineering solutions, which can be fabricated by means of well-known manufacturing processes. Abstract: Despite being an effective and a general method to obtain optimal solutions, topology optimization generates solutions with complex geometries, which are neither cost-effective nor practical from a manufacturing (industrial) perspective. Manufacturing constraint techniques based on a unified projection-based approach are presented herein to properly restrict the range of solutions to the optimization problem. The traditional stiffness maximization problem is considered in conjunction with a novel projection scheme for implementing constraints. Essentially, the present technique considers a domain of design variables projected in a pseudo-density domain to find the solution. The relation between both domains is defined by the projection function and variable mappings according to each constraint of interest. The following constraints have been implemented: minimum member size, minimum hole size, symmetry, pattern repetition, extrusion, turning, casting, forging and rolling. These constraints illustrate the ability of the projection scheme to efficiently control the optimization solution (i.e. without adding a large computational cost). Illustrative examples are provided in order to explore the manufacturing constraints in conjunction with the unified projection-based approach.