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Published on: October 1, 2019
A Novel Parametrical Approach to the Ribbed Element Slicing Process in Robotic Additive Manufacturing
Ivan Gajdoš1, Łukasz Sobaszek2, Pavol Štefčák1
1Department of Technology, Materials and CAx, Faculty of Mechanical Engineering, Technical University of Košice, 04001 Košice, Slovakia.
Robotic additive manufacturing uses industrial robots for enhanced part fabrication. A new slicing method significantly reduces G-code generation time, improving prototyping and manufacturing efficiency.
Area of Science:
- Engineering
- Manufacturing Technology
- Materials Science
Background:
- Additive manufacturing (AM) is widely used for prototyping and producing functional parts.
- Industrial robots are increasingly adopted for AM, offering greater dimensional capabilities and structural integrity than conventional 3D printers.
- Integrating robots into AM necessitates novel solutions for streamlined prototyping and manufacturing.
Purpose of the Study:
- To address the need for new slicing methods in robotic additive manufacturing.
- To present an alternative solution for control code generation without relying on external slicers.
- To demonstrate a novel approach to the slicing process specifically for robotic AM.
Main Methods:
- Development of a novel slicing method for robotic additive manufacturing.
- Implementation of an alternative control code generation process.
- Adoption of the method for fused granular fabrication using thermoplastic polymers.
Main Results:
- Achieved a reduction of over 80% in G-code generation time compared to traditional methods.
- Demonstrated a significantly faster and more efficient approach to robotic AM slicing.
- Successfully applied the novel slicing method to fused granular fabrication.
Conclusions:
- The proposed slicing method offers a substantial improvement in efficiency for robotic additive manufacturing.
- This approach streamlines the G-code generation process, outperforming conventional techniques.
- The method is effective for fused granular fabrication with thermoplastic polymers, enhancing robotic AM capabilities.
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