Publications related to Milling (machining)

TTool: 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 ...

2024

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Olga Fink

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 Inc2024

Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process

Xiaochen Zheng, Roberto Pérez

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 LTD2023

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Olga Fink, Sergei Garmaev

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 Publishing2023

Augmented-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 ...

2022

Virtual 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 ...

EPFL2022

A 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) 2022

A 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

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Milling (machining)

TSLAM: a tag-based object-centered monocular navigation system for augmented manual woodworking.

TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Experimental Analysis of Ductile Cutting Regime in Face Milling of Sintered Silicon Carbide

Augmented-reality-assisted timber drilling with smart retrofitted tools

Virtual metrology applied to milling process

A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC

A reduced order model to predict the machining time and cost of small-scale radial-inflow turbines

Graph Chatbot

Chat with Graph Search

Learning Linearized Degradation of Health Indicators using Deep Koopman Operator Approach

Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process

A Novel Method for Detecting Unidentified Falling Object Loss Patterns in the LHC

TSLAM: a tag-based object-centered monocular navigation system for augmented manual woodworking.

TTool: A Supervised Artificial Intelligence-Assisted Visual Pose Detector for Tool Heads in Augmented Reality Woodworking

Virtual metrology applied to milling process

Experimental Analysis of Ductile Cutting Regime in Face Milling of Sintered Silicon Carbide

A reduced order model to predict the machining time and cost of small-scale radial-inflow turbines

Learning Informative Health Indicators Through Unsupervised Contrastive Learning

Augmented-reality-assisted timber drilling with smart retrofitted tools