Results 11 to 20 of about 88,069 (311)

Anomaly Detection in Machining Centers Based on Graph Diffusion-Hierarchical Neighbor Aggregation Networks

open access: yesApplied Sciences, 2023
Inlight of the extensive utilization of automated machining centers, the operation and maintenance level and efficiency of machining centers require further enhancement.
Jiewen Huang, Ying Yang
doaj   +1 more source

Analytical modeling of spindle-tool dynamics on machine tools using Timoshenko beam model and receptance coupling for the prediction of tool point FRF [PDF]

open access: yes, 2006
Regenerative chatter is a well-known machining problem that results in unstable cutting process, poor surface quality and reduced material removal rate.
Budak, Erhan   +4 more
core   +3 more sources

Multiaxis Machining: PKMs and Traditional Machining Centers

open access: yesJournal of Manufacturing Processes, 2000
Since the first CNC-type hexapod machine tool prototypes were presented at the 1994 International Machine Tool Show (IMTS) in Chicago, much debate has ensued on whether or not these machine tools will ever reach the place where they challenge traditional machining centers.
ITIA-CNR (Institute of Industrial Technologies and Automation, National Research Council of Italy), Milan, Italy ( host institution )   +2 more
openaire   +3 more sources

Visual Analytics for Human-Centered Machine Learning [PDF]

open access: yesIEEE Computer Graphics and Applications, 2022
We introduce a new research area in visual analytics (VA) aiming to bridge existing gaps between methods of interactive machine learning (ML) and eXplainable Artificial Intelligence (XAI), on one side, and human minds, on the other side. The gaps are, first, a conceptual mismatch between ML/XAI outputs and human mental models and ways of reasoning, and
Andrienko, N.   +4 more
openaire   +3 more sources

Dynamic behavior analysis for a six axis industrial machining robot [PDF]

open access: yes, 2012
The six axis robots are widely used in automotive industry for their good repeatability (as defined in the ISO92983) (painting, welding, mastic deposition, handling etc.).
Bisu, Claudiu-Florinel   +3 more
core   +1 more source

Distributed machining control and monitoring using smart sensors/actuators [PDF]

open access: yes, 2004
The study of smart sensors and actuators led, during the past few years, to the development of facilities which improve traditional sensors and actuators in a necessary way to automate production systems. In an other context, many studies are carried out
Desforges, Xavier   +3 more
core   +3 more sources

Optimization of pocket machining strategy in HSM [PDF]

open access: yes, 2011
Our two major concerns, which should be taken into consideration as soon as we start the selecting the machining parameters, are the minimization of the machining time and the maintaining of the high-speed machining machine in good state.
Baili, Maher   +3 more
core   +2 more sources

Machine tool chatter test and analysis

open access: yesThe Journal of Engineering, 2019
Machine chatter phenomenon has a great influence on the stability during the machining process of the machine tool. It has a great limitation on the machining efficiency of the machine tool and the machining accuracy of the product.
Linxi Li   +3 more
doaj   +1 more source

Human-Centred Machine Learning [PDF]

open access: yesProceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016
Machine learning is one of the most important and successful techniques in contemporary computer science. It involves the statistical inference of models (such as classifiers) from data. It is often conceived in a very impersonal way, with algorithms working autonomously on passively collected data. However, this viewpoint hides considerable human work
Gillies, Marco   +13 more
openaire   +3 more sources

Analytical and experimental study of feed rate in high-speed milling [PDF]

open access: yes, 2013
In the context of high-speed milling (HSM), during the machining process dynamic machine response has to be identified. To achieve this, we have to calculate the feed rate evolution in linear and circular interpolation according to dynamic performance of
Baili, Maher   +4 more
core   +3 more sources

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