4.7 Article

Topology optimization with manufacturing constraints: A unified projection-based approach

期刊

ADVANCES IN ENGINEERING SOFTWARE
卷 100, 期 -, 页码 97-112

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.advengsoft.2016.07.002

关键词

Topology optimization; Projection scheme; Manufacturing constraints; Minimum member size; Minimum hole size

资金

  1. Sao Paulo Research Foundation (FAPESP) [2008/57086-6]
  2. FAPESP [2015/08316-2]
  3. US National Science Foundation [CMMi 1321661]
  4. National Council for Research and Development (CNPq) [304121/2013-4]
  5. CAPES
  6. Div Of Civil, Mechanical, & Manufact Inn
  7. Directorate For Engineering [1321661] Funding Source: National Science Foundation

向作者/读者索取更多资源

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. (C) 2016 Elsevier Ltd. All rights reserved.

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