... of being a more human-friendly, explainable, and explicit stylecapturing agent. Keywords: graph neural network, scalar vector graphics, explainable AI, feature recognition, design automation, deep learning, signal processing 1. INTRODUCTION Recognizing, codifying and incorporating desired stylistic...

.... The part model serves as a central database for design, process planning, and manufacturing related activities. Feature-based design approach in conjunction with feature recognition approach is incorporated in this integration framework. This dual approach can balance overall computational efficiency...

... manufacturing integration feature recognition 9 April 1996 18:54 6 E d r common ground with regard to these concepts, the research com- tions has proven very di cult for a variety of reasons|chief it it s, a e- is s, a- e t- e e- f- e o r- t Emunity will be better able to assess how to e ectively address...

... Abstract This paper presents a new approach for automatic recognition of machining features from the B-Reps of the part. In this approach we combine the conventional graph based recognition method with the hint based feature recognition idea so as to efficiently handle feature interactions...

... Abstract This paper presents a feature based volume decomposition approach for Hexahedral Mesh generation. In this approach, feature recognition techniques are introduced to determine decomposition features from a CAD model and the model is decomposed into sub-models, which become meshable...

... resolutions. By way of illustration, the algorithm is applied to a trial component. octree representation assembly features feature recognition geometric modelling assembly planning Proceedings of DETC'OO: ASME 2000 Design Engineering Technical Conferences and Computers and Information...

... Abstract Decomposition based feature recognition (DBFR) has drawn attention over the years. It has two stages: decomposition and aggregation. At the decomposition stage, the CAD model is partitioned into minimal cells. At the aggregation stage, the decomposed individual cells are composed...

... structure volume. A regression model is then developed to establish a relationship between the machining features and orientation angles to predict optimal build orientation for new parts. additive manufacturing machine learning machining features feature recognition feature mapping build...

... such as plane and the geometry relationships between two adjacent faces such as tangency that are usually used for 3D shape retrieval and manufacturing feature recognition, but also the design semantic features among multiple adjacent faces even non-adjacent faces such as boss. Such design semantic feature...

... Current design feature recognition mainly depends on the connective attributes of edges or faces in the CAD models, such as convexity, concavity, and tangency. However, it is difficult to uniquely define the mixed connective attributes of the generic features in some cases. A novel generic...

.... However due to time complexity, the parametric approach was implemented as a dedicated software package. 24 07 2009 feature recognition design exemplar retrieval mold insert Proceedings of IDETC/CIE 2008 ASME 2008 I & i a E U e Keywords: feature recognition, design exemplar...

... 30 06 2008 In this article, a framework to perform the computer-aided Design for Manufacturability analysis of injection-molded and die-cast parts is presented. The framework includes an implemented algorithm to solve key outstanding challenges in feature recognition...

... volume decomposition solid modeling feature recognition local modification Adding simple volumes, which are often called primitives, is a natural way to construct complex solid models. Conversely, cell-based volume decomposition is the existing method to decompose a complex solid model...

... Feature Recognition Convex Decomposition Form Feature Decomposition Negative Feature Decomposition Part Similarity Mechanical parts are often grouped into part families based on the similarity of their shapes, to support efficient manufacturing process planning and design modification...

... Design for Manufacturing Feature Recognition Automated Manufacturability Analysis Injection-Molding Die-Casting In this article, a mathematical framework to automatically evaluate the manufacturability of injection-molded and die-cast parts is presented. The framework includes both...

... Several CAD system independent feature recognition techniques have been developed to drive manufacturing applications. Commercial implementations of these techniques require translating CAD models using STEP or other neutral file formats. With large CAD models found in some application domains...

... 10 06 2008 Next generation process planning systems should be capable of dealing with industrial demands of versatility, flexibility, and agility for product manufacturing. Development of process planning system is heavily dependent on feature recognition, but presently...