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面向制造的LLM辅助设计:用于保持设计意图的CAD可制造性改进的多智能体系统

LLM-Aided Design for Manufacturing: A Multi-Agent System for Intent-Preserving Redesign of CAD for Improved Manufacturability

Kojo Welbeck, Xiangyu Shi, Zahra Sadeghi, Qi Zhu, Ping Guo

arXiv 2609.05559首次发表:更新:

发表机构

Northwestern University(西北大学)

机构由 AI 辅助整理,请以论文原文为准。

AI 中文总结

本文提出DFM-Redesign多智能体系统,利用预训练多模态LLM通过审查与验证编辑循环,实现保持设计意图的CAD零件可制造性改进,无需微调,在基准上优于单智能体。

AI 中文摘要

我们引入了自主的、保持设计意图的面向制造的设计(DFM)重设计方法,用于CAD零件:给定工程师的CAD模型,该方法返回一个更易于制造且不丢失其设计意图的变体。由于随着零件复杂度增加,CAD保真度会下降,因此一次性生成这样的重设计并不可靠;相反,我们将其生成为一系列经过单独验证的设计转换序列。我们的DFM-Redesign流程通过两个由预训练多模态LLM驱动的耦合智能体子系统实现:一个DFM审查器,检查当前设计并每次提出一项保持意图的可制造性改进;一个CAD修改器,将每个提议作为对零件CadQuery程序的编辑来执行。CAD修改器闭合验证循环,编译每个候选编辑,并从多视角渲染中视觉检查其与预期变更的一致性,然后重新生成或重新指示,直到编辑被接受或放弃。迭代审查和验证修改将编辑复合为比一次性生成器更可靠的复杂零件,每一步都保持原始意图,且无需微调。在由到参考几何体的倒角距离评分的46个零件基准上,CAD修改器在给定相同工具的情况下,平均比思维链单智能体更准确地重现目标零件,消融实验隔离了视觉审查循环和每次编辑前对设计状态进行标题描述的贡献。一个由32个链式转换构建的离心泵壳体说明了通过复合验证编辑可达到的复杂性。这是一份初步报告:对完整审查和重设计循环的评估,包括可制造性增益和操作性的意图保持度量,正在进行中。

英文摘要

We introduce autonomous, intent-preserving Design for Manufacturing (DFM) redesign of CAD parts: given an engineer's CAD model, the method returns a variant that is easier to manufacture without losing its design intent. Generating such a redesign in a single shot is unreliable, since CAD fidelity degrades as parts grow complex; we instead produce it as a sequence of individually verified design transitions. Our DFM-Redesign pipeline realizes this with two coupled agent subsystems driven by a pretrained multimodal LLM: a DFM Reviewer that inspects the current design and proposes one intent-preserving manufacturability improvement at a time, and a CAD Modifier that executes each proposal as an edit to the part's CadQuery program. The CAD Modifier closes a verification loop, compiling every candidate edit and visually checking it against the intended change from multi-view renderings, then re-generating or re-instructing until the edit is accepted or abandoned. Iterating review and verified modification compounds edits into parts more complex than one-shot generators reliably produce, preserves the original intent at each step, and requires no fine-tuning. On a 46-part benchmark scored by chamfer distance to reference geometries, the CAD Modifier reproduces target parts more accurately on average than chain-of-thought single agents given the same tools, and ablations isolate the contributions of the visual review loop and of captioning the design state before each edit. A centrifugal pump casing built from 32 chained transitions illustrates the complexity reachable by compounding verified edits. This is a preliminary report: evaluation of the full review-and-redesign loop, including manufacturability gain and an operational measure of intent preservation, is ongoing.

Comments21 pages, 8 figures

论文原文

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