In this paper, single correct and three defective states for the cold headed fasteners production technological process are detected.
Dec 12, 2020 · In this paper, single correct and three defective states for the cold headed fasteners production technological process are detected.
Failures Prediction in the Cold Forging Process Using Machine Learning Methods ... Cold Forging Process Through Feature Extraction with a Neural Network.
In this paper, single correct and three defective states for the cold headed fasteners production technological process are detected.
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May 23, 2022 · AI is now being used to identify forging errors. In general, an AI-based defect detection system uses rule-based reasoning, case-based reasoning ...
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This paper presents and discusses the implementation of deep neural network for the purpose of failure prediction in the cold forging process.
A rising adoption of AI techniques in the metal forming industry has been observed, mainly for detecting defects (e.g., die wear) and predicting failures before ...
Jul 8, 2021 · Machine learning techniques offer an alternative approach to forecasting and controlling product quality in cold forging processes. Despite the ...
The results suggest that the proposed deep learning method has the potential to detect faults in cold forging, but future work is required to validate the ...
May 19, 2023 · Fatigue life prediction is critical for ensuring the safe service and the structural integrity of mechanical structures.