Journal ArticleDOI
Automatic form-feature recognition using neural-network-based techniques on boundary representations of solid models
TLDR
An algorithm for recognition using neural-net-based techniques has been developed, and a suitable net architecture, which is similar to the multilayer perceptron in function and which implements the algorithm, has been designed.Abstract:
A new technique for performing form-feature recognition using the principles of neural networks is discussed. Neural nets require parallel input of data, which, in this case, are B-rep solid models of parts. An input format has been developed which includes face descriptions and face-face relationships. An algorithm for recognition using neural-net-based techniques has been developed, and a suitable net architecture, which is similar to the multilayer perceptron in function and which implements the algorithm, has been designed. The net architecture is described, and a few examples are presented which highlight the strengths and weaknesses of the recognition algorithm.read more
Citations
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Journal ArticleDOI
Computer-aided process planning-A critical review of recent developments and future trends
TL;DR: An up-to-date review of the CAPPResearch works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field are provided.
Journal ArticleDOI
Automated manufacturability analysis: a survey
TL;DR: A survey of state-of-the-art automated manufacturability analysis can be found in this paper, where the authors present the historical context in which this area has emerged and outline characteristics to compare and classify various systems.
Journal ArticleDOI
FeatureNet: Machining feature recognition based on 3D Convolution Neural Network
TL;DR: A novel framework using Deep 3D Convolutional Neural Networks (3D-CNNs) termed FeatureNet to learn machining features from CAD models of mechanical parts and enables significant improvements over the state-of-the-arts manufacturing feature detection techniques.
Journal ArticleDOI
The experimental investigation of the effects of uncoated, PVD- and CVD-coated cemented carbide inserts and cutting parameters on surface roughness in CNC turning and its prediction using artificial neural networks
TL;DR: In this paper, the surface roughness effects of coating method, coating material, cutting speed and feed rate on the workpiece have been investigated, and the training and test data of the ANNs have been prepared using experimental patterns for the surfaces roughness.
Journal ArticleDOI
A neural network approach for early cost estimation of packaging products
Y. R. Zhang,Jerry Y. H. Fuh +1 more
TL;DR: In this paper, a feature-based cost estimation using a back-propagation neural network is proposed and a prototype system has been developed for estimating the costs of packaging products based on design information only.
References
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