WELDING QUALITY EVALUATION METHOD AND WELDING EQUIPMENT

To provide a welding quality evaluation method which enables welding defect to be detected on site during groove welding between metal members, and welding equipment comprising mechanism for evaluating the welding quality.SOLUTION: A welding quality evaluation method according to the present inventi...

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Bibliographic Details
Main Authors TANAKA AKIHIDE, ZHANG XUDONG, PARK SEUNGHWAN, MORIHIRA NAOKI
Format Patent
LanguageEnglish
Japanese
Published 08.06.2022
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Summary:To provide a welding quality evaluation method which enables welding defect to be detected on site during groove welding between metal members, and welding equipment comprising mechanism for evaluating the welding quality.SOLUTION: A welding quality evaluation method according to the present invention is a method for evaluating the quality of groove welding during welding and comprising: a welding region image acquisition step of acquiring observation image data of an edge of a molten pool of a prescribed region on the rear side in the welding advancing direction with respect to the edge of the groove and the welding heat input point; a penetration size calculation step of calculating penetration size data from a positional relationship between the edge of the molten pool of the prescribed region in the observation image data and the extension line of the edge of the groove; a bead shape calculation step of calculating a predicted bead shape by comparing the calculated penetration size data with bead shape data accumulated beforehand by machine learning; and a welding defect determination step of determining the presence/absence of occurrence of a welding defect by comparing the predicted bead shape with a prescribed threshold.SELECTED DRAWING: Figure 1 【課題】金属部材同士の開先溶接中にその場で溶接欠陥を検知することができる溶接品質評価方法、および溶接品質を評価する機構を備えた溶接装置を提供する。【解決手段】本発明に係る溶接品質評価方法は、開先溶接の品質を溶接中に評価する方法であって、開先のエッジ、および溶接入熱点よりも溶接進行方向の後方で所定領域の溶融池のエッジの観察画像データを取得する溶接領域画像取得ステップと、前記観察画像データにおける前記所定領域の前記溶融池のエッジと前記開先のエッジの延長線との位置関係から溶込みサイズデータを算出する溶込みサイズ算出ステップと、算出した前記溶込みサイズデータと予め蓄積したビード形状データとを機械学習により比較して、予測されるビード形状を算出するビード形状算出ステップと、前記予測されるビード形状と所定のしきい値とを比較して溶接欠陥の発生の有無を判定する溶接欠陥判定ステップと、を有することを特徴とする。【選択図】図1
Bibliography:Application Number: JP20200197014