Results 341 to 350 of about 6,071,763 (407)

Tool Wear Compensation

SAE International Journal of Aerospace, 2009
<div class="htmlview paragraph">This paper describes the principles of a new method to compensate for tool wear when drilling in complex materials such as Carbon Fibre Reinforced Plastics (CFRP), Carbon Fibre Reinforced Plastics / Titanium (CFRP/Ti) and Carbon Fibre Reinforced Plastics / Alloy (CFRP/AI) stacks.
Eskil Larsson, David Eriksson, Patrik Rydberg   +2 more
openaire   +1 more source

Cutting Tool Materials and Tool Wear

2014
The chip formation in machining operations is commonly accomplished by a combination of several elements working together to complete the job. Among these components, cutting tool is the key element that serves in the front line of cutting action. Cutting action becomes a challenge when it comes to machining difficult-to-cut materials. Titanium and its
Ali Hosseini, Hossam A. Kishawy
openaire   +1 more source

Tool wear sensors

Wear, 1980
Abstract A state of the art review of tool wear sensing is presented. A recently developed technique is described and the need for further research effort in tool wear sensing is emphasized.
openaire   +1 more source

CAD/CAM diamond tool wear.

Quintessence international (Berlin, Germany : 1985), 2019
This study evaluated the wear of computer-aided design/computer-assisted manufacture (CAD/CAM) burs and the morphologic changes after a number of millings.Diamond burs (cylinder and step-bur) were divided into four milling groups: zero millings (G0); 15 millings (G1); 25 millings (G2); and 35 millings (G3).
Renato Cassio, Roperto, Fabiane Carneiro, Lopes, Thiago Soares, Porto, Sorin, Teich, Fabio Antonio Piola, Rizzante, Zvi, Gutmacher, Manoel Damião de, Sousa-Neto   +6 more
openaire   +2 more sources

Prediction of Tool Wear Progress in Machining of Carbon Steel using different Tool Wear Mechanismsl

International Journal of Material Forming, 2008
In this paper the prediction of tool wear on carbide uncoated tools was taken into account. In particular, two different tool wear models based on the diffusion mechanism and on the abrasion mechanism were considered. The calibration of the utilized models was done using the results obtained by experimental analysis performed on an orthogonally ...
UMBRELLO, Domenico, L. FILICE, F. MICARI, T. MATSUMURA, T. SHIRAKASHI   +4 more
openaire   +1 more source

Tool wear monitoring through online measured cutting force and cutting temperature during face milling Inconel 718

The International Journal of Advanced Manufacturing Technology, 2022
D. Liu, Zhanqiang Liu, Jinfu Zhao, Q. Song, Xiaoping Ren, H. Ma   +5 more
semanticscholar   +1 more source

A new method based on a WOA-optimized support vector machine to predict the tool wear

The International Journal of Advanced Manufacturing Technology, 2022
Yaonan Cheng, Xiaoyu Gai, Yingbo Jin, Rui Guan, M. Lu, Ya Ding   +5 more
semanticscholar   +1 more source

Physics-informed meta learning for machining tool wear prediction

Journal of manufacturing systems, 2022
Yilin Li, Jinjiang Wang, Zuguang Huang, R. Gao   +3 more
semanticscholar   +1 more source

Intelligent recognition of tool wear in milling based on a single sensor signal

The International Journal of Advanced Manufacturing Technology, 2022
Yezhen Peng, Q. Song, Runqiong Wang, Zhanqiang Liu, Zhaojun Liu   +4 more
semanticscholar   +1 more source

Comparative analysis of tool wear progression of dry and cryogenic turning of titanium alloy Ti-6Al-4V under low, moderate and high tool wear conditions

The International Journal of Advanced Manufacturing Technology, 2022
Muhammad Ali Khan, S. Jaffery, A. Baqai, Mushtaq Khan   +3 more
semanticscholar   +1 more source