Intersecting Machining Feature Localization and Recognition via Single Shot Multibox Detector
In Industrie 4.0, machines are expected to become autonomous, self-aware and self-correcting. One important step in the area of manufacturing is feature recognition that aims to detect all the machining features from a 3-D model.
Peizhi Shi +4 more
semanticscholar +1 more source
Fog computing and convolutional neural network enabled prognosis for machining process optimization [PDF]
Cloud enabled prognosis systems have been increasingly adopted by manufacturing industries. The effectiveness of the cloud systems is, however, crippled by the high latency of data transfer between shop floors and the cloud.To overcome the limitation ...
Li, Weidong +3 more
core +1 more source
Manufacturing industry tends toward high-mix low-volume production in recent years. Therefore, in the field of machining, the ratio of preparation in the lead-time becomes higher because the preparation takes a great deal of time and labor to decide ...
Yuki INOUE, Keiichi NAKAMOTO
doaj +1 more source
Octree-based production of near net shape components [PDF]
Near net shape (NNS) manufacturing refers to the production of products that require a finishing operation of some kind. NNS manufacturing is important because it enables a significant reduction in: machining work, raw material usage, production time ...
Corney, J.R. +4 more
core +1 more source
FIXES, a system for automatic selection of set-ups and design of fixtures [PDF]
This paper reports on the development of a computer aided planning system for the selection of set-ups and the design of fixtures in part manufacturing. First, the bottlenecks in the present planning methods are indicated. A brief description is given of
Boerma, J.R., Kals, H.J.J.
core +3 more sources
BRepGAT: Graph neural network to segment machining feature faces in a B-rep model
In recent years, there have been many studies using artificial intelligence to recognize machining features in 3D models in the CAD/CAM field. Most of these studies converted the original CAD data into images, point clouds, or voxels for recognition ...
Jinwon Lee +4 more
semanticscholar +1 more source
Novel Integration of CAPP in a G-Code Generation Module Using Macro Programming for CNC Application
In the modern manufacturing industry, the role of computer-aided process planning (CAPP) is becoming increasingly crucial. Through the application of new technologies, experience, and intelligence, CAPP is contributing to the automation of manufacturing ...
Trung Kien Nguyen +2 more
doaj +1 more source
Feature Recognition for Virtual Machining
Virtual machining uses software tools to simulate machining processes in virtual environments ahead of actual production. This paper proposes that feature recognition techniques can be applied in the course of virtual machining, such as identifying some process problems, and presenting corresponding correcting advices.
Xú, Shixin, Anwer, Nabil, Qiao, Lihong
openaire +3 more sources
Approach Tolerance in the Assemblies of Evolutionary Hybrid Prototypes [PDF]
A new answer is proposed to replace the traditional “one shot” prototype (manufactured in one piece with one process): the hybrid rapid prototype.
Hascoet, JY., Mognol, P., Rivette, M.
core +1 more source
Cutting tool tracking and recognition based on infrared and visual imaging systems using principal component analysis (PCA) and discrete wavelet transform (DWT) combined with neural networks [PDF]
The implementation of computerised condition monitoring systems for the detection cutting tools’ correct installation and fault diagnosis is of a high importance in modern manufacturing industries. The primary function of a condition monitoring system is
A Al-Habaibeh +24 more
core +1 more source

