About: Deep Learning Based Approach for Identifying Conventional Machining Processes from CAD Data

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Deep Learning Based Approach for Identifying Conventional Machining Processes from CAD Data
Creator	Aggarwal, Vaneet Byung-Guk Jun, Martin Fu, Xingyu Joung, Gun Peddireddy, Dheeraj Sutherland, John Wang, Haobo
Source	Elsevier
abstract	Abstract Manufacturing has evolved to become more automated in pursuit of higher quality, better productivity and lower cost. However, industrial logistics between the end customer and manufacturing supply chain still demands human labor and intelligence. This logistic work requires engineers with experienced knowledge to identify machining processes from the CAD model provided by customers at the beginning, and later sourcing for qualified manufacturing suppliers according to identified manufacturing processes. Developing an efficient automatic Machining Process Identification (MPI) system becomes a pivotal problem for logistic automation. In this paper, a novel MPI system is presented based on 3D Convolutional Neural Networks (CNN) and Transfer learning. The proposed system admits triangularly tessellated surface (STL) models as inputs and outputs machining process labels (e.g. milling, turning etc.) as the results of classification of the neural network. Computer-synthesized workpiece models are utilized in training the neural network. In addition to the MPI system, a portable framework was developed for future applications in related fields. The MPI system shows more than 98% accuracy for both synthesized models and real workpiece models which verifies its robustness and real-time reliability.
has issue date	2020-12-31(xsd:dateTime)
bibo:doi	10.1016/j.promfg.2020.05.130
has license	els-covid
sha1sum (hex)	d90b871f62436646f6144fcd81aee5611d9a39cd
schema:url	https://doi.org/10.1016/j.promfg.2020.05.130
resource representing a document's title	Deep Learning Based Approach for Identifying Conventional Machining Processes from CAD Data
schema:publication	Procedia Manufacturing
resource representing a document's body	covid:d90b871f62436646f6144fcd81aee5611d9a39cd#body_text
is schema:about of	named entity 'system' named entity 'manufacturing' named entity 'Machining' named entity 'automatic' named entity 'portable' named entity 'higher' named entity 'Identifying' named entity 'Machining' named entity 'LATER' named entity 'EVOLVED' named entity 'COMPUTER' named entity 'NEURAL NETWORK' named entity 'REAL-TIME' named entity 'MODEL' named entity 'MODELS' named entity 'TURNING' named entity 'SYSTEM' named entity 'INDUSTRIAL' named entity 'FUTURE' named entity 'problem' named entity 'MPI' named entity 'labor' named entity 'based' named entity 'MPI' named entity 'training' named entity 'milling' named entity 'logistic' named entity 'productivity' named entity 'network' named entity 'process' named entity 'CNN' named entity 'applications' named entity 'turning' named entity 'future' named entity 'machining' named entity 'Identification' named entity 'MPI' named entity 'CNN' named entity 'ScienceDirect' named entity 'Original Equipment Manufacturer' named entity 'process planning' named entity 'pose estimation' named entity 'machinable' named entity 'Computer-Aided Manufacturing' named entity 'machining' named entity 'product design' named entity 'CAM' named entity 'engineering design' named entity 'network architecture' named entity 'machining' named entity 'machining' named entity 'Process Planning' named entity 'CAD' named entity 'machining' named entity 'engineering design' named entity 'machining' named entity 'MPI' named entity 'digital model' named entity 'CAM' named entity 'MPI' named entity 'cutting tool' named entity 'CAD' named entity 'engineering design' named entity 'manufacturing processes' named entity 'data format' named entity 'transfer learning' named entity 'cross entropy' named entity 'point cloud' named entity 'image classification' named entity 'manufacturing processes' named entity '1D array' named entity 'machining' named entity 'MPI' named entity 'machining' named entity 'machining' named entity 'process planning' named entity 'cutting tool' named entity 'probability'

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