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13-tik 1-10 emaitza erakusten
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 ...
FEM modeling of hard turning 42CrMoS4 steel
(Elsevier B.V., 2019)
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 ...
Microstructure based flow stress model to predict machinability in ferrite–pearlite steels
(Elsevier Ltd., 2019)
A new flow stress model is proposed to describe the behaviour of ferrite–pearlite steels based on microstructure properties, including the effect of high strains, strain rates and temperatures. The model introduces strain ...
Determining tool/chip temperatures from thermography measurements in metal cutting
(Elsevier, 2018)
Temperature measurement in metal cutting is of central importance as tool wear and surface integrity have been demonstrated to be temperature dependent. In this context, infrared thermography is presented as a reliable ...
Evaluation of different flow stress laws coupled with a physical based ductile failure criterion for the modelling of the chip formation process of Ti-6Al-4V under broaching conditions
(Elsevier, 2019)
During the machining of Ti-6Al-4V the changing deformation mechanisms produce a complex microstructure of segmented chips, which directly influenced tool-wear and process stability. Numerical simulation could give an insight ...
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 ...
A Novel Procedure Based on 2D Finite Element Modeling and Orthogonal Cutting Tests to Predict Machinability and Tool Wear Evolution Considering the Microstructure Effect of Lamellar Ferrite-Pearlite Steels
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2018)
The main contribution of this Ph.D. is the development of a finite element based procedure
to predict machinability considering the effect of lamellar ferrite-pearlite microstructures. The
findings of this study give ...
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 ...
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 ...
