**14. Summary**

are capable of producing different widths of deposits within a layer through varying travel speed and wire feed rate, while maintaining a constant deposit height. Therefore, we propose an adaptive path planning strategy that uses continuously varying step-over distances by adjusting the process parameters to deposit beads with variable width within any given path [28]. The developed adaptive MAT path planning algorithm is able to automatically generate path patterns with varying step-over distances (refer to **Figure 19e**) by analyzing geometry information to achieve better part quality (void-free deposition), accuracy at the boundary, and material efficiency, as shown in **Figure 19f**. Example of adaptive MAT path generation for a geometry with multiple holes is shown in **Figure 20**. Examples of void-free additive manu‐

**Figure 20.** Example of a geometry with multiple holes. (a) Computed branch loops as represented by red lines; (b) Div‐ ided six domains as represented by different colors; (c) Generated numerous radiations from the branch points and the

various decomposed simple shapes; (d) Generated adaptive paths for the geometry.

facturing using adaptive MAT paths could be found in [27].

20 New Trends in 3D Printing

This chapter presented slicing strategy for AM, namely unidirection slicing and multidirection slicing. Apart from the slicing, methods of existing path planning, including the newly published MAT-based non-adaptive and adaptive paths, were reviewed for advanced design in AM.

The main conclusions are listed as following:

