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Adiabatic self-heating determination for Ti6Al4V at different temperatures
(Elsevier, 2023)
Nowadays, numerical models are one of the most widely used techniques to predict material performance subjected to different manufacturing processes. However, to obtain accurate predictions, these models require reliable ...
Influence of cryogenic grinding surface on fatigue performance of carburised 27MnCr5
(Elsevier, 2023)
Automotive transmission components are subjected to cyclic loads and, thus, must have a reliable fatigue performance. Since fatigue cracks nucleate at the surface, it is necessary to guarantee that its surface integrity ...
Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...
Application of material constitutive and friction models parameters identified with AI and ALE to a CEL orthogonal cutting model
(Elsevier B.V., 2023)
The identification of input parameters for funite element modelling of the cutting process is still a complex task as the experimental testing equipment cannot reach its combined levels of strains, strain rates and ...
Force Prediction Methodology for Complex Shape Broaching
(Elsevier B.V., 2023)
Broaching is widely used for the manufacturing of complex geometries which requires high dimensional accuracy and surface finishing (e.g., fir tree, dovetail). A software development for force prediction in complex shape ...
Digital Twin for Final Generated Surface Dimensional Error Analysis at Tool Path Level in Contour Milling
(Elsevier B.V., 2023)
Surface errors in contour milling due to force induced tool deflections have a direct impact on the dimensional and geometrical accuracy of the finished part. In this sense, virtual manufacturing systems provide the ...
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 ...
A tribological characterisation of Ti-48Al-2Cr-2Nb and Ti-6Al-4V alloys with dry, flood, and MQL lubricants
(Elsevier, 2023)
The development of cutting tools requires the knowledge of tribological phenomena at the tool – workpiece contact area. This knowledge is in dearth particularly for difficult-to-cut alloys like gamma titanium aluminide ...