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Indirect Fabrication of Lattice Metals with Thin Sections Using Centrifugal Casting
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A Hybrid Data-Driven Metaheuristic Framework to Optimize Strain of Lattice Structures Proceeded by Additive
Tao Zhang1, Uzair Sajjad2, Akash Sengupta3
1School of 3D Printing, Xinxiang University, Xinxiang 453003, China.
Micromachines
|October 28, 2023
Summary
This study optimizes additively manufactured (AM) lattice structures by controlling design and process parameters to achieve desired mechanical properties. A deep-learning algorithm successfully predicted optimal parameters for specific strain values in various lattice topologies.
Area of Science:
- Materials Science and Engineering
- Mechanical Engineering
- Additive Manufacturing
Background:
- Optimizing mechanical properties of additively manufactured (AM) lattice structures is crucial for advanced applications.
- Controlling design and process parameters significantly influences lattice structure performance.
Purpose of the Study:
- To develop a framework for optimizing strain in AM lattice structures.
- To identify optimal design and process parameters for achieving specific mechanical properties.
Main Methods:
- Utilized a deep-learning-driven genetic metaheuristic algorithm.
- Investigated various lattice topologies (sea urchin, honeycomb, Kelvin) fabricated with diverse materials (plastics, metal, polymer) and AM technologies (SLA, MJF, FDM, DMLS, SLM).
- Controlled parameters including stress, unit cell size, height, width, and relative density.
Main Results:
- Successfully achieved target strain values by optimizing input parameters for different lattice structures.
- Provided specific optimal parameter sets for achieving a strain of 2.8 × 10-6 mm/mm in a sea urchin structure.
- Demonstrated the framework's ability to tailor mechanical properties through parameter control.
Conclusions:
- The developed deep-learning framework effectively optimizes strain in AM lattice structures.
- This approach enables the design of AM lattice structures with predictable and desired mechanical qualities.
- Offers a valuable tool for engineers and researchers in materials design and manufacturing.
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