A shape-based inter-layer contours correspondence method for ICT-based reverse engineering.

Area of Science:

• Computer-aided design and manufacturing
• Reverse engineering and metrology
• Image processing and analysis

Background:

• Surface reconstruction from industrial computed tomography (ICT) data is challenging due to complex object contours and topology.
• Existing methods struggle with accurate inter-layer contour correspondence, hindering precise reverse engineering.
• Industrial parts often exhibit regularity and similarity in inter-layer contours, suggesting potential for specialized approaches.

Purpose of the Study:

• To develop a specialized shape-based method for inter-layer contour correspondence in ICT-based reverse engineering.
• To address the difficulties in surface reconstruction caused by complex contours and topologies.
• To leverage vectorized contour information for improved accuracy in reverse engineering of industrial parts.

Main Methods:

• Vectorized contours extracted from ICT slices are decomposed into graphical primitives: circles, arcs, and segments.
• Inter-layer primitive correspondence is established based on their inherent geometric characteristics.
• Contour correspondence is achieved by utilizing the corresponded primitives, proximity rules, and an exhaustive search algorithm.

Main Results:

• The proposed method effectively utilizes shape information to handle industrial parts with complex structures.
• Experimental results demonstrate the feasibility and superiority of the shape-based contour correspondence method.
• The technique successfully establishes accurate correspondence between inter-layer contours.

Conclusions:

• The developed shape-based method provides an effective solution for inter-layer contour correspondence in ICT reverse engineering.
• This approach enhances surface reconstruction accuracy for complex industrial parts.
• The method offers practical guidance and a valuable reference for related research and applications.