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Analytical modelling of rock cutting force and failure surface in linear cutting test by single PDC cutter

Journal of Petroleum Science and Engineering, 2019
The PDC (Polycrystalline Diamond Compact) bits are the most widely used bits in oil drilling engineering, in order to further improve their longevity and ROP (Rate of Penetration), single PDC cutter research is very important.
Zhenhua Cheng   +5 more
semanticscholar   +1 more source

Improved dynamic cutting force modelling in micro milling of metal matrix composites Part I: Theoretical model and simulations

, 2020
Cutting force modelling for micro machining is of great importance for better understanding of the cutting mechanics in the process. As precision machining of metal matrix composites (MMCs) is much more complex than machining homogeneous materials, the ...
Zhichao Niu, K. Cheng
semanticscholar   +1 more source

Determining cutting force coefficients from instantaneous cutting forces in ball end milling

International Journal of Machining and Machinability of Materials, 2016
The precise prediction of cutting forces helps in improving the machining performances. This involves the modelling of cutting force components in tangential, radial and axial directions and determination of respective specific cutting force coefficients. In the present work, an improved method of identification of specific cutting force coefficient is
Mithilesh K. Dikshit   +3 more
openaire   +1 more source

Intermittent metal cutting at small cutting depths—2. Cutting forces

International Journal of Machine Tools and Manufacture, 1988
Abstract Cutting forces in intermittent metal cutting at small cutting depths were investigated by single edge experiments. Single cutting strokes were performed in a modified Charpy pendulum tester which offers cutting and thrust force measurement and accurate selection of cutting speed and feed in ranges typical for many intermittent high speed ...
S. Jacobson, P. Wallén, S. Hogmark
openaire   +1 more source

Cutting force modeling and accurate measurement in milling of flexible workpieces

Mechanical systems and signal processing, 2019
This paper presents the cutting force modeling and the experimental verification for the model with the accurate measurement of the milling forces through the dynamic compensation of the workpiece-dynamometer assembly dynamics in the milling of the ...
K. Kiran, M. C. Kayacan
semanticscholar   +1 more source

Cutting force modelling and physical cutting simulation

1998
There is a direct relationship between the cutting conditions and the economics of the SSM-process. The goal is to cut the part as quickly as possible while maintaining safe cutting conditions and high part quality. The simulation of the physical process must be capable of estimating the cutting forces.
Byoung K. Choi, Robert B. Jerard
openaire   +1 more source

Study of Soft Tissue Cutting Forces and Cutting Speeds

2004
A versatile equipment to study the cutting of soft tissue with surgery scalpel was designed and constructed. Experiments were performed with pig liver (ex-vivo) to measure the blade-tissue interaction forces at cutting speeds ranging from 0.1 cm/sec-2.54 cm/sec. The experimentally measured force-displacement curves reveal that the liver cutting process
Teeranoot, Chanthasopeephan   +2 more
openaire   +2 more sources

Cutting Force Model for Diamond Cutting Microstructured Surfaces

Applied Mechanics and Materials, 2013
The depth of cut changed periodically along the contour of the cutting surfaces. The diamond tool of sharp point tip was used in diamond cutting microstructured surfaces with Fast Tool Serve (FTS). All reported the cutting force model were not suitable for accurately predicting cutting force.
Hai Jun Zhang   +3 more
openaire   +1 more source

Prediction of cutting force via machine learning: state of the art, challenges and potentials

Journal of Intelligent Manufacturing, 2023
Meng Liu   +4 more
semanticscholar   +1 more source

A digital twin-driven cutting force adaptive control approach for milling process

Journal of Intelligent Manufacturing, 2023
Xin Tong   +3 more
semanticscholar   +1 more source

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