Results 41 to 50 of about 9,056,628 (331)

Experimental investigation on micromilling of oxygen-free, high-conductivity copper using tungsten carbide, chemistry vapour deposition and single-crystal diamond micro tools [PDF]

, 2010
Insufficient experimental data from various micro tools limit industrial application of the micromilling process. This paper presents an experimental comparative investigation into micromilling of oxygen-free, high-conductivity copper using tungsten ...
Cheng, K, Huo, D
core   +1 more source

Robotical Automation in CNC Machine Tools: A Review

Acta Mechanica et Automatica
Robotics and automation have significantly transformed Computer Numerical Control (CNC) machining operations, enhancing productivity, precision, and efficiency. Robots are employed to load and unload raw materials, workpieces, and finished parts onto CNC
Mohsen Soori, Fooad Karimi Ghaleh Jough, Roza Dastres, B. Arezoo   +3 more
semanticscholar   +1 more source

The Analysis of Key Technologies for Sustainable Machine Tools Design

, 2020
Machine tools as indispensable tools for manufacturing products are typical high-energy, high-carbon manufacturing systems due to their larger mass, longer life cycles and huge resources and energy consumption.
Chunhua Feng, ShihYing Huang
semanticscholar   +1 more source

Helical Electrodes for Electro-Discharge Drilling: Experimental and CFD-Based Analysis of the Influence of Internal and External Flushing Geometries on the Process Characteristics

Journal of Manufacturing and Materials Processing, 2023
The electro-discharge (ED) drilling of precision boreholes in difficult-to-machine materials, particularly with respect to the cost-effectiveness of the overall process, is still a challenge.
Eckart Uhlmann, Mitchel Polte, Sami Yabroudi, Nicklas Gerhard, Ekaterina Sakharova, Kai Thißen, Wilhelm Penske   +6 more
doaj   +1 more source

Optimisation of component performance via structuring

MATEC Web of Conferences, 2015
Ecological and economic reasons are forcing industry to improve efficiency and to save energy and resources by reducing product weight. In current product designs often insufficient geometric stiffness of the part prohibits exploiting the full potential ...
Psyk Verena, Kurka Petr, Kimme Simon, Werner Markus, Landgrebe Dirk, Ebert Andreas, Schwarzendahl Mathias   +6 more
doaj   +1 more source

Analytical model of temperature distribution in metal cutting based on Potential Theory [PDF]

Mechanical Sciences, 2015
Temperature fields evolving during metal cutting processes have also been of major interest. Temperatures in the tool influence the wear behaviour and hence costs, temperatures in the work-piece are directly responsible for later product quality.
F. Klocke, M. Brockmann, S. Gierlings, D. Veselovac   +3 more
doaj   +1 more source

No-code robotic programming for agile production: A new markerless-approach for multimodal natural interaction in a human-robot collaboration context

Frontiers in Robotics and AI, 2022
Industrial robots and cobots are widely deployed in most industrial sectors. However, robotic programming still needs a lot of time and effort in small batch sizes, and it demands specific expertise and special training, especially when various robotic ...
Jayanto Halim, Paul Eichler, Sebastian Krusche, Mohamad Bdiwi, Steffen Ihlenfeldt   +4 more
doaj   +1 more source

Acoustic Roughness Measurement of Railway Tracks: Running Surface Detection and Compensation of Lateral Movements for Optical Measurements on a Train

Sensors, 2023
Rolling noise is a significant contributor to railway noise. Wheel and rail roughness are decisive for the emitted noise level. An optical measurement method installed on a moving train is suitable for closer monitoring of the rail surface condition.
Florian Mauz, Remo Wigger, Loris Griesbaum, Tobias Wahl, Michal Kuffa, Konrad Wegener   +5 more
doaj   +1 more source

Numerical Control Machine Data Manual [PDF]

, 1968
Numerical Control Machine Data Manual provides programmers with specific information for various types and sizes of numerical control machine tools and auxiliary ...
Mackey, R. T., Sr.
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source