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A Coupled Eulerian Lagrangian Model to Predict Fundamental Process Variables and Wear Rate on Ferrite-pearlite Steels
(Elsevier B.V., 2017)
A coupled Eulerian-Lagrangian Finite Element model of the orthogonal cutting process was developed to predict the influence that ferritepearlite steel variants have on fundamental process variables and tool wear. As a case ...
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 ...
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 ...
An optimization methodology for material databases to improve cutting force predictions when milling martensitic stainless steel JETHETE-M152
(Elsevier Ltd., 2018)
A material database for JETHETE-M152 was developed applying a novel methodology for improving the precision of cutting forces. This approach defines a variable specific edge force depending on the feed rate and cutting ...
FEM modeling of hard turning 42CrMoS4 steel
(Elsevier B.V., 2019)
A mechanistic model to predict cutting force on orthogonal machining of Aluminum 7475-T7351 considering the edge radius
(Elsevier B.V., 2019)
The ploughing force related with action of edge radius is an important factor which influences flow stress, chip formation or surface integrity. Some fraction of the cutting forces are called parasitic (additional) forces ...
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 ...
Mechanics of milling 48-2-2 gamma titanium aluminide
(Elsevier Ltd., 2020)
Accurate and fast prediction of cutting forces is important in high-performance cutting in the aerospace industry. Gamma titanium aluminide (γ-TiAl) is a material of choice for aerospace and automotive applications due to ...
Measurement of plastic strain and plastic strain rate during orthogonal cutting for Ti-6Al-4V
(Elsevier Ltd., 2021)
Finite Element Modelling used to predict machining outcomes needs to be supplied with the appropriate material thermomechanical properties which are obtained by specific testing devices and methodologies. However, these ...
Uncut chip geometry determination for cutting forces prediction in orthogonal turn-milling operations considering the tool profile and eccentricity
(Elsevier Ltd., 2021)
The cutting forces generated in machining are responsible for the tool deflection, part distortion, and features as chatter; therefore, their accurate estimation is fundamental to defining stable and safe working conditions ...