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Related Concept Videos

Lattice Centering and Coordination Number02:33

Lattice Centering and Coordination Number

The structure of a crystalline solid, whether a metal or not, is best described by considering its simplest repeating unit, which is referred to as its unit cell. The unit cell consists of lattice points that represent the locations of atoms or ions. The entire structure then consists of this unit cell repeating in three dimensions. The three different types of unit cells present in the cubic lattice are illustrated in Figure 1.
Types of Unit Cells
Imagine taking a large number of identical...

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Additive Manufacturing-Enabled Advanced Design and Process Strategies for Multi-Functional Lattice Structures.

Chinmai Bhat1, Mayur Jiyalal Prajapati2,3, Ajeet Kumar4

  • 1High-Value Biomaterials Research and Commercialization Center, National Taipei University of Technology, No. 1, Section 3, Zhongxiao East Road, Taipei 106, Taiwan.

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Summary
This summary is machine-generated.

Additive manufacturing (AM) enables control over lattice structure properties by manipulating unit cell morphology, tessellation, density, and materials. This review explores design and processing strategies, including AI and machine learning, for advanced lattice functionalities.

Keywords:
additive manufacturingdesign strategieslattice factorslattice structuresmulti-functional propertiesprocess strategies

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Additive Manufacturing

Background:

  • Lattice structure properties are determined by unit cell morphology, tessellation, density, and material characteristics.
  • Additive Manufacturing (AM) advancements allow precise control over these lattice factors for tailored functionalities.

Purpose of the Study:

  • To review strategies for manipulating lattice factors to achieve desired functionalities.
  • To highlight the link between design strategies and natural occurrences.
  • To explore the integration of design and processing techniques for advanced lattice structures.

Main Methods:

  • Discussion of design-based grading strategies: functional grading (size, density), multi-morphology, and spatial arrangement.
  • Emphasis on novel tessellation strategies for multi-functional lattice responses.
  • Exploration of multi-material additive manufacturing techniques.

Main Results:

  • Tessellations can act as novel materials, enabling property tuning.
  • Sequential combination of multiple materials in AM yields unique, superior properties.
  • Integration of design and process strategies offers scope for advanced lattice requirements.

Conclusions:

  • Additive manufacturing provides versatile tools for engineering lattice structures with specific properties.
  • Multi-material AM and advanced tessellation strategies are key to multi-functional lattices.
  • Artificial intelligence and machine learning show promise for developing function-specific lattice properties.