Dimensional Methods Used in the Additive Manufacturing Process

Area of Science:

• Materials Science and Engineering
• Manufacturing Technology
• Dimensional Analysis

Background:

• Additive Manufacturing (AM) provides design flexibility and rapid prototyping capabilities.
• Current AM research often overlooks dimensional methods for optimization.
• Achieving full potential in AM requires exploring cost, durability, and material efficiency.

Purpose of the Study:

• To review the application of dimensional methods in additive manufacturing.
• To highlight the potential of geometric analogy, similarity theory, and dimensional analysis for AM.
• To focus on polymer-based AM for product design and layer deposition optimization.

Main Methods:

• Literature review of dimensional methods applied to AM.
• Analysis of geometric analogy, similarity theory, and dimensional analysis.
• Focus on polymer AM, including design, optimization, layer orientation, and filling characteristics.

Main Results:

• Dimensional methods are underutilized in optimizing AM processes and products.
• These methods offer pathways to improve cost-effectiveness, durability, and material consumption in AM.
• Optimization of layer deposition and product design can be significantly enhanced.

Conclusions:

• Integrating dimensional methods into AM research is crucial for innovation.
• Further exploration of dimensional analysis can lead to more competitive and efficient AM products.
• This review suggests a promising research direction for AM specialists.