Normalized Field Product Approach: A Parameter‐Free Density Evaluation Method for Close‐To‐Binary Solutions in Topology Optimization With Embedded Length Scale

ABSTRACT This article provides a normalized field product approach for topology optimization to achieve close‐to‐binary optimal designs. The method uses a parameter‐free density measure that enforces a specified minimum length scale on the solid phase, ensuring smooth and transition‐free topologies. The density evaluation does not rely on weight functions; however, the associated density functions are required to confined between 0 and 1. The method combines the SIMP scheme with the introduced density function for material stiffness interpolation. The success and efficacy of the approach are demonstrated through the design of both two‐ and three‐dimensional designs, including stiff structures and compliant mechanisms. The structure's compliance is minimized for the former, whereas the latter involves optimizing a multicriteria objective. The presented numerical examples consider different volume fractions, length scales, and density functions. The proposed method is also seamlessly extended with advanced elements for solving 3D problems. The optimized designs obtained are close to binary without any user intervention while satisfying the desired feature size on the solid phase.

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Publication Details

Journal
International Journal for Numerical Methods in Engineering
Published
2025-04-02
DOI
https://doi.org/10.1002/nme.7673
Citations
2
Primary Topic
Topology Optimization in Engineering
Type
article
Field-Weighted Citation Impact
1.91
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article

Normalized Field Product Approach: A Parameter‐Free Density Evaluation Method for Close‐To‐Binary Solutions in Topology Optimization With Embedded Length Scale

Nikhil Singh, Prabhat Kumar, Anupam Saxena
2 citations
International Journal for Numerical Methods in Engineering
Topology Optimization in Engineering
1.91
article

Normalized Field Product Approach: A Parameter‐Free Density Evaluation Method for Close‐To‐Binary Solutions in Topology Optimization With Embedded Length Scale

Nikhil Singh, Prabhat Kumar, Anupam Saxena
article en
2 citations

Abstract

ABSTRACT This article provides a normalized field product approach for topology optimization to achieve close‐to‐binary optimal designs. The method uses a parameter‐free density measure that enforces a specified minimum length scale on the solid phase, ensuring smooth and transition‐free topologies. The density evaluation does not rely on weight functions; however, the associated density functions are required to confined between 0 and 1. The method combines the SIMP scheme with the introduced density function for material stiffness interpolation. The success and efficacy of the approach are demonstrated through the design of both two‐ and three‐dimensional designs, including stiff structures and compliant mechanisms. The structure's compliance is minimized for the former, whereas the latter involves optimizing a multicriteria objective. The presented numerical examples consider different volume fractions, length scales, and density functions. The proposed method is also seamlessly extended with advanced elements for solving 3D problems. The optimized designs obtained are close to binary without any user intervention while satisfying the desired feature size on the solid phase.

International Journal for Numerical Methods in EngineeringVol. 126(7)
Indian Institute of Technology Hyderabad (IN), RWTH Aachen University (DE), Indian Institute of Technology Kanpur (IN)
Openalex Percentile: Top 16%
Topology Optimization in Engineering
1.91
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