.png){kind=icon}
返回
Combining deep learning with knowledge graph for macro process planning
.png){kind=icon}
PRE
AI
DOI：10.1016/j.compind.2022.103668.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The macro process, as the core process content of the whole machining process for a design part, serves as a guide for the complete machining process planning. It determines the final machining quality and machining cost of the part to a large extent. However, due to the various bottlenecks in machining process knowledge representation, matching, and inference, macro process planning still depends heavily on the knowledge and experience of process designers. In this paper, a macro process decision-making approach combining knowledge graph and deep learning technology is proposed. Firstly, based on deep learning, the macro process reasoning function is learned to model the mapping relationship between the process elements of the design part and macro process analysis rules. Then the process elements of the design part are fed into the reasoning function to activate the applicable process analysis rules of the process knowledge graph. Next, according to the association relationship between the activated process analysis rules and the predefined machining methods of the macro process graph, a series of working steps nodes and the directed edges are activated, which constitutes the feasible solution space for the macro process. Finally, the swarm intelligence algorithm is applied to search for an effective and low-cost macro process scheme from the feasible macro process solution space. In experimental studies, the slot cavity parts are taken as examples to verify the feasibility and effectiveness of the proposed approach.
Keyword:
Available online xxxx
Macro process planning
Deep learning
Knowledge graph
Stacked auto-encoders
期刊
IF:
9.1
论文数:
2.9K
被引数:
1.1W
机构
引用论文
.png){kind=icon}
An automatic method for constructing machining process knowledge base from knowledge graph一种基于知识图谱的加工工艺知识库自动构建方法
PREAI
分享收藏Smart manufacturing process and system automation - A critical review of the standards and envisioned scenarios智能制造流程和系统自动化-对标准和设想方案的严格审查
PREAI
分享收藏A knowledge based intelligent process planning method for controller of computer numerical control machine tools基于知识的数控机床控制器智能工艺规划方法
PREAI
分享收藏
查看更多内容