Skip to main content
Log in

Mechanical Product Disassembly Sequence and Path Planning Based on Knowledge and Geometric Reasoning

  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

A feature-based assembly model is proposed for disassembly sequence planning, and establishing a correct and practical disassembly path for the part in the product, based on geometric reasoning and knowledge. The fundamental assembly modelling strategy for a product is based on the mating features of its parts.

An algorithm is introduced which uses the information provided by the mating features of parts in the product to find the candidate parts for disassembly and to carry out disassembly path planning. A complete and accurate interference checking approach is used to ensure no global collision while disassembling a part.

In some cases, it cannot be implemented by geometric reasoning alone, so a set of criteria and heuristic rules based on knowledge, constraints, relationships among parts, and quantitative disassemblability assessment are used. It can also be carried out interactively by the user when necessary.

The proposed method is integrated with the CAD model of the product. The user can visually disassemble the product while planning, so it is easier to carry out the disassembly planning and generate an optimal sequence.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hu, D., Hu, Y. & Li, C. Mechanical Product Disassembly Sequence and Path Planning Based on Knowledge and Geometric Reasoning. Int J Adv Manuf Technol 19, 688–696 (2002). https://doi.org/10.1007/s001700200114

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s001700200114

Navigation