Concept
Milling (machining)
Related publications (98)
TSLAM: a tag-based object-centered monocular navigation system for augmented manual woodworking.
TimberSLAM (TSLAM) is an object-centered, tag-based visual self-localization and mapping (SLAM) system for monocular RGB cameras. It was specifically developed to support a robust and augmented reality pipeline for close-range, noisy, and cluttered fabrica ...
2024TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking
Yves Weinand, Julien Gamerro, Andrea Settimi, Florian Aymanns, Naravich Chutisilp
We present TimberTool (TTool v2.1.1), a software designed for woodworking tasks assisted by augmented reality (AR), emphasizing its essential function of the real-time localization of a tool head’s poses within camera frames. The localization process, a fu ...
2024Learning Informative Health Indicators Through Unsupervised Contrastive Learning
Monitoring the health of complex industrial assets is crucial for safe and efficient operations. Health indicators that provide quantitative real-time insights into the health status of industrial assets over time serve as valuable tools for, e.g., fault d ...
Ieee-Inst Electrical Electronics Engineers Inc2024Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
Chatter is a harmful self-excited vibration that commonly occurs during milling processes. Data -driven chatter detection and prediction is critical to achieve high surface quality and process efficiency. Most existing chatter detection approaches are base ...
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2023Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach
With the current trend of increasing complexity of industrial systems, the construction and monitoring of health indicators becomes even more challenging. Given that health indicators are commonly employed to predict the end of life, a crucial criterion fo ...
Research Publishing2023Experimental Analysis of Ductile Cutting Regime in Face Milling of Sintered Silicon Carbide
In this study, sintered silicon carbide is machined on a high-precision milling machine with a high-speed spindle, closed-loop linear drives and friction-free micro gap hydrostatics. A series of experiments was undertaken varying the relevant process param ...
2022Augmented-reality-assisted timber drilling with smart retrofitted tools
Yves Weinand, Julien Gamerro, Andrea Settimi
An ordinary electric drill was integrated into a context-aware augmented reality (AR) framework to assist in timber-drilling tasks. This study is a preliminary evaluation to detail technical challenges, potential bottlenecks, and accuracy of the proposed o ...
2022Virtual metrology applied to milling process
Paul Arthur Adrien Pierre Dreyfus
Production quality and process efficiency are the two main drivers that lead any industrial strategy. To ensure product quality, a duality historically existed between two approaches, namely batch sampling and systematic sampling. In batch sampling, the ba ...
EPFL2022A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC
Frédéric Blanc, Davide Di Croce, Tatiana Pieloni, Jorg Wenninger, Loïc Thomas Davies Coyle
Understanding and mitigating particle losses in the Large Hadron Collider (LHC) is essential for both machine safety and efficient operation. Abnormal loss distributions are tell- tale signs of abnormal beam behaviour or incorrect machine configuration. By ...
Journals of Accelerator Conferences Website (JACoW) 2022A reduced order model to predict the machining time and cost of small-scale radial-inflow turbines
Jürg Alexander Schiffmann, Matthias Geiselhart
This paper proposes a novel approach to predict the machining time of small-scale radial-inflow turbine impellers for organic Rankine cycle power systems based on preliminary design parameters. The time prediction method uses machining databases of differe ...
Technical University of Munich2021