- Publication . Article . 2021Open Access EnglishAuthors:ZHU, JIANG; XIE, Da; Xie, Da; TANAKA, TOMOHISA;ZHU, JIANG; XIE, Da; Xie, Da; TANAKA, TOMOHISA;Publisher: IOP Publishing
Abstract This research aims to solve technical problem of automatic feature recognition in a Computer Aided Process Planning system. This feature recognition method was developed to represent a 3D model as classes of manufacturing features based on graph theory. In addition, “accessibility” was proposed to recognize intersecting features with complicated graph structure which cannot be predefined by users. The experimental result shown in case study proofed that this proposed method is effective in multi-intersecting feature recognition.
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- Publication . Article . 2021Open Access EnglishAuthors:ZHU, JIANG; XIE, Da; Xie, Da; TANAKA, TOMOHISA;ZHU, JIANG; XIE, Da; Xie, Da; TANAKA, TOMOHISA;Publisher: IOP Publishing
Abstract This research aims to solve technical problem of automatic feature recognition in a Computer Aided Process Planning system. This feature recognition method was developed to represent a 3D model as classes of manufacturing features based on graph theory. In addition, “accessibility” was proposed to recognize intersecting features with complicated graph structure which cannot be predefined by users. The experimental result shown in case study proofed that this proposed method is effective in multi-intersecting feature recognition.
Average popularityAverage popularity In bottom 99%Average influencePopularity: Citation-based measure reflecting the current impact.Average influence In bottom 99%Influence: Citation-based measure reflecting the total impact.add Add to ORCIDPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.