An intelligent interactive system based on LLM to combine CAD API development with FEA

This paper presents an intelligent interactive system based on large language model (LLM). It aims to simplify the operation flow of CAD and FEA software and improve the efficiency of design and simulation analysis. The system uses C# and Python to develop CAD Secondarily and access LLM API locally. Build a professional database and implement the interaction between CAD and LLM. The natural language dialogue between the user and the CAD software is realized, and the design guidance and optimization suggestions are provided. Taking the design of the end mechanism of fruit picking robot as an example, the application effect of this system is demonstrated. The results of the case show that the system can effectively improve the efficiency of design and simulation analysis, and improve the design quality, and has a broad application prospect.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862035
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
0.35
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An intelligent interactive system based on LLM to combine CAD API development with FEA

Zherui Wan, Yujie Sheng, Meili Sun, Hongxia Cai et al.
1 citations
Manufacturing Process and Optimization
0.35
article

An intelligent interactive system based on LLM to combine CAD API development with FEA

Zherui Wan, Yujie Sheng, Meili Sun, Hongxia Cai, Mengjie Yu, Shuyu Yang
article en
1 citations

Abstract

This paper presents an intelligent interactive system based on large language model (LLM). It aims to simplify the operation flow of CAD and FEA software and improve the efficiency of design and simulation analysis. The system uses C# and Python to develop CAD Secondarily and access LLM API locally. Build a professional database and implement the interaction between CAD and LLM. The natural language dialogue between the user and the CAD software is realized, and the design guidance and optimization suggestions are provided. Taking the design of the end mechanism of fruit picking robot as an example, the application effect of this system is demonstrated. The results of the case show that the system can effectively improve the efficiency of design and simulation analysis, and improve the design quality, and has a broad application prospect.

Shanghai University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Manufacturing Process and Optimization
0.35
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.

An intelligent interactive system based on LLM to combine CAD API development with FEA — Zherui Wan, Yujie Sheng, et al. · (2024) | TGRS Research Map | TGRS