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A Study on an Explainable Causal-Enhanced LLM Agent for Predicting the Forming Quality of Automotive Component Materials

2026-06-23

Abstract excerpt

<title>Abstract</title> <p>Raw material composition, heat treatment, cooling, equipment parameters and die condition have an impact on the forming quality of materials for automotive components. Current prediction models can detect the defect or deviation in the performance, but are not so much supported for finding out the root cause of anomaly and for making the changes in the process. In this paper, a causal e...

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Literature Corpus work
a103f80f-d5a0-538e-b360-29aedc5d53ab
DOI
10.21203/rs.3.rs-10098227/v1
Open publication

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A Study on an Explainable Causal-Enhanced LLM Agent for Predicting the Forming Quality of Automotive Component MaterialsDOI 10.21203/rs.3.rs-10098227/v1
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