Bilatu
16-tik 1-10 emaitza erakusten
A novel machine learning‐based methodology for tool wear prediction using acoustic emission signals
(MDPI, 2021)
There is an increasing trend in the industry of knowing in real-time the condition of their assets. In particular, tool wear is a critical aspect, which requires real-time monitoring to reduce costs and scrap in machining ...
Tool remaining useful life prediction using bidirectional recurrent neural networks (BRNN)
(Springer, 2023)
Nowadays, new challenges around increasing production quality and productivity, and decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance ...
Exploring the effectiveness of using internal CNC system signals for chatter detection in milling process
(Elsevier, 2023)
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 ...
Innovative Method dedicated to the development of a ferrite-pearlite grade regarding its MAChinability (IMMAC): final report
(Oficina de Publicaciones de la Unión Europea, 2019)
Ferrite-pearlite (FP) steels are the most common material for engineering and automotive industries (gear box parts, crankshaft, connecting rods, injection parts…). Without any extensive research, considering the different ...
Determination of emissivity and temperature of tool rake face when cutting AISI 4140
(Elsevier B.V., 2019)
A method for measuring tool temperature in the tool/chip contact zone of the rake face of a tool during dry orthogonal cutting using thermography is presented. This method used a new calibration method that combined with ...
Mechanical properties of friction induced nanocrystalline pearlitic steel
(Springer Nature, 2022)
Nanocrystalline structured variants of commercially available alloys have shown potential for boosting the mechanical properties of these materials, leading to a reduction in waste and thereby retaining feasible supply ...
FEM modeling of hard turning 42CrMoS4 steel
(Elsevier B.V., 2019)
New Calibration method to measure Rake Face Temperature of the tool during Dry Orthogonal Cutting using Thermography
(Elsevier Ltd., 2018)
A new method for measuring temperature in the rake face of a tool during dry orthogonal cutting using ther-
mography is presented. In addition, a new technique is also used to calibrate the infrared camera. Using ...
Methodology to establish a hybrid model for prediction of cutting forces and chip thickness in orthogonal cutting condition close to broaching
(Springer Nature, 2019)
Broaching is a widely used finishing operation for the manufacturing of transmission gears which are commonly made of steel AISI 1045. Therefore, there is a high interest for industry to understand the metal cutting process ...
Microstructural aspects of the transition between two regimes in orthogonal cutting of AISI 1045 steel
(Elsevier, 2018)
In depth understanding of tool-chip friction behavior is a significant aspect for tool wear performance in steels. In the present work attention has been paid to the strain mode of the chip section in contact with the rake ...
