Rule-based design verification for mechanical parts with dynamic rule subset selection

In the product development process, it is essential to identify potential design errors in design data and correct them appropriately before production begins. This paper proposes a method for rule-based design verification of mechanical parts through dynamic selection of rule subsets. First, a knowledgebase structure centered on design features was defined to specify rules from design requirements. Then, a method was developed to dynamically compose verification functions using the verification equations contained in the selected design rules. These rules are applied to the design parameter data extracted from design data such as 3D CAD models. The proposed method allows for the easy expansion of applicable parts by simply adding the necessary rules to the knowledgebase, without changing the structure of the design rule knowledgebase or expanding the verification system. Design verification experiments were conducted on anemometers and snap-fit hooks to verify the proposed method's effectiveness. The experiments successfully performed design verification for both parts, confirming that the proposed method can be flexibly applied to various parts.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-05-17
DOI
https://doi.org/10.1038/s41598-025-01815-4
Citations
2
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
2.48

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Rule-based design verification for mechanical parts with dynamic rule subset selection

Changmo Yeo, Duhwan Mun, Seungeun Lim, Byung Chul Kim et al.
2 citations
Scientific Reports
Manufacturing Process and Optimization
2.48
article

Rule-based design verification for mechanical parts with dynamic rule subset selection

Changmo Yeo, Duhwan Mun, Seungeun Lim, Byung Chul Kim, H Lee, Kyung Cheol Bae
article en
2 citations

Abstract

In the product development process, it is essential to identify potential design errors in design data and correct them appropriately before production begins. This paper proposes a method for rule-based design verification of mechanical parts through dynamic selection of rule subsets. First, a knowledgebase structure centered on design features was defined to specify rules from design requirements. Then, a method was developed to dynamically compose verification functions using the verification equations contained in the selected design rules. These rules are applied to the design parameter data extracted from design data such as 3D CAD models. The proposed method allows for the easy expansion of applicable parts by simply adding the necessary rules to the knowledgebase, without changing the structure of the design rule knowledgebase or expanding the verification system. Design verification experiments were conducted on anemometers and snap-fit hooks to verify the proposed method's effectiveness. The experiments successfully performed design verification for both parts, confirming that the proposed method can be flexibly applied to various parts.

Scientific ReportsVol. 15(1)
Gachon University (KR), Korea University (KR), Korea University of Technology and Education (KR)
National Research Foundation, Ministry of Trade, Industry and Energy, National Research Foundation of Korea, Iran Telecommunication Research Center, Ministry of Science and ICT, South Korea, Institute for Information and Communications Technology Promotion
Openalex Percentile: Top 11%
Manufacturing Process and Optimization
2.48
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Rule-based design verification for mechanical parts with dynamic rule subset selection — Changmo Yeo, Duhwan Mun, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS