Prediction of thickness and height of burr based on burr formation mechanisms in end milling
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2014 Edge imperfections are often introduced on workpieces due to plastic deformation during machining. These imperfections are known as burrs. Since the deburring operation is costly, the control of burr formation is a research topic of great significance ...
Sothea KRUY +3 more
doaj +1 more source
Efficient Cutting Power Modeling of Three-Axis Milling Based on Transfer Learning and Neural Network
IEEE Access, 2022 The modeling of machining response like the cutting power has great significance for the simulation and optimization of the machining process before real physical cutting.
Jiejun Xie +5 more
doaj +1 more source
Integration of dynamic behaviour variations in the stability lobes method: 3D lobes construction and application to thin-walled structure milling [PDF]
, 2006 Vibratory problems occurring during peripheral milling of thin-walled structures affect the quality of the fin- ished part and, to a lesser extent, the tool life and the spindle life.
Arnaud, Lionel +3 more
core +3 more sources
Investigating dynamics of machine tool spindles under operational conditions [PDF]
, 2011 Chatter is one of the major problems in machining and can be avoided by stability diagrams which are generated using frequency response functions (FRF) at the tool tip.
Budak, Erhan +4 more
core +1 more source
Friction behaviors in the metal cutting process: state of the art and future perspectives
International Journal of Extreme Manufacturing, 2022 Material removal in the cutting process is regarded as a friction system with multiple input and output variables. The complexity of the cutting friction system is caused by the extreme conditions existing on the tool–chip and tool–workpiece interfaces ...
Xiaoliang Liang +4 more
doaj +1 more source
Researches regarding cutting tool condition monitoring [PDF]
MATEC Web of Conferences, 2017 The paper main purpose is monitoring of tool wear in metal cutting using neural networks due to their ability of learning and adapting their self, based on experiments. Monitoring the cutting process is difficult to perform on-line because of the complexity of tool wear process, which is the most important parameter that defines the tool state at a ...
Inţă Marinela +2 more
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A choice of the optimum cutting ranges for cutting nozzles a-sd for selection of metallurgical material. [PDF]
, 2018 On the market there are plenty of machines for cutting of steel via a mixture of oxygen and flammable gases. Various manufacturers provide several types of torches, cutting nozzles and other equipment in their product range.
Holubják, Jozef +4 more
core +1 more source
Real-Time Cutting Tool Condition Monitoring in Milling
Strojniški vestnik – Journal of Mechanical Engineering, 2011 Reliable tool wear monitoring system is one of the important aspects for achieving a self-adjusting manufacturing system. The original contribution of the research is the developed monitoring system that can detect tool breakage in real time by using a combination of neural decision system and ANFIS tool wear estimator.
Čuš, Franc, Župerl, Uroš
openaire +3 more sources
Effect of Shift in Speed Turning on Machined Surface Quality
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2017 This article describes the evaluation of machined material roughness in speed turning on a machining centre Doosan Puma 700 LY. The machined surface of semi-finished products from steel 14 260 was compared at selected cutting conditions.
Pavel Polák +2 more
doaj +1 more source
Optimization and simulation of adaptive mining cutting path in complex undulating coal seam
Meitan kexue jishu, 2023 Adaptive cutting planning of shearer based on the fluctuation of coal seam is one of the key problems to realize intelligent unmanned mining in coal mine.
Shixin GONG +3 more
doaj +1 more source