.png){kind=icon}
返回
STEP-based feature recognition for manufacturing cost optimization
.png){kind=icon}
PRE
AI
DOI：10.1016/S0010-4485(01)00071-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
This paper proposes to integrate feature recognition and process planning in the machining domain. The input part is analyzed to produce a set of setups which might he needed to manufacture the part. Then, a two-layered search strategy is adopted, where a node of the upper layer corresponds to a specific setup, and a node of the lower layer corresponds to a specific process for a feature. For each visited setup node, tool database is consulted in order to generate manufacturable features, feature dependencies are established, and the lower layer search is invoked. The lower layer computes an optimal machining sequence and its manufacturing cost. Then, the control gets returned to the upper layer. Together with the manufacturing cost computed at the lower layer, setup cost analysis guides the upper layer's setup space search. Eventually, a setup sequence is generated where an optimal machining sequence is determined per each setup. The system presented in this paper uses STEP as input and output formats, and therefore can be ported to arbitrary CAD and planning systems. (C) 2001 Elsevier Science Ltd. Ah rights reserved.
Keyword:
feature recognition
NC milling
process planning
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
3.1
论文数:
3.1K
被引数:
6.4K
机构
暂无机构信息
引用论文
Does it take older adults longer than younger adults to perceptually segregate a speech target from a background masker?在感知上将语音目标与背景掩蔽器隔离开来是否需要老年人比年轻人更长的时间？
PREAI
分享收藏
分享收藏Chloroquine-Resistant <i>Plasmodium falciparum</i> Local Strain in Taiz Governorate, Republic of Yemen.png)
Chemotherapy
ChemotherapyIF0
PREAI
分享收藏
查看更多内容