FEM and statistical-based assessment of AISI-4140 dry hard turning using micro-textured insert

A Comparative Study of Machining H13 Steel using different Flank Face Textured Coated Carbide and Ceramic Inserts

“…After few seconds, the notch wear progression is also retarded, which indicates the tool would not get fractured. Ozturk (2022) used FEM and grey relational analysis to analyze the effect of micro-texture during hard machining of AISI-4140 in dry condition [28]. It was observed that the textured tool was not statistically prioritizing as expected.…”

Surrogate metamodels from digital image correlation for testing high-performance composite vessels

“…Stochastic methods are able to incorporate the uncertainty of the material factor, where they have shown to yield better results [ 10 , 11 ]. The precise definition of the material requires a large number of characterization tests whose objective is to define the behavior of the material through the Probability Density Functions (PDF) of the studied variable, which will be used to feed the numerical methods using the Finite Element Method (FEM) [ [12] , [13] , [14] , [15] , [16] ]. This method consists of discretization by means of nodes of a continuous medium allowing the simulation of the physical behaviors of different models.…”

“…The application of numerical methods in combination with the different PDF will allow to obtain the failure probability of the system, thus achieving more reliable designs and avoiding the use of such a wide range of properties, hence the importance of a correct adjustment of the distribution. The FEM is a very useful tool that allows the integration of the probabilistic distribution of the variables of this type of material with more advanced engineering design tools such as robust engineering [ 14 , 17 , 18 ], the most suitable for design for materials being the one known as Reliability Based-Design Optimization (RBDO) [ [19] , [20] , [21] ]. This integration makes it possible to move from a deterministic FEM to stochastic FEM [ [22] , [23] , [24] ], which is a numerical model that allows the calculation of mechanical stresses and strains under real stresses, providing a complete study of results and considering the uncertainty that affects the input variables [ 25 ].…”

An Analysis of the Morphology Evolution of YG8 Cemented Carbide by Laser Ablation in the Liquid Phase

“…Serguei P. Murzin et al [6] laser ablated microtextures on the surface of silicon carbide ceramics, which were used to reduce the coefficient of friction of a rolling bearing in operation; the results demonstrate that the laser treatment reduces the coefficient of friction by more than 30 per cent compared to the initial structure. Erkan Öztürk [7] used a laser to ablate microtextures on a tool to enhance machining performances in dry hard turning by decreasing friction between tool and chip, reducing adhesion, reducing cutting forces, and improving wear mechanisms. Aniket Roushan et al [8] reduced the cutting forces, cutting temperatures, surface roughness, and tool wear by changing the surface morphology parameters of the ablated weave on the tool, which improved machining performance.…”

“…There is a significant improvement in the ablation morphology compared with other machining processes [1], and it is particularly outstanding for the reduction of heat-affected zones, recast layers, and cracks [16], which provides a theoretical basis for the machining and shape control of the point weave structure on the surface of YG8 cemented carbide. This research has some guiding significance for the use of laser ablation to achieve high-quality shapes, sizes, and taper controls in key industrial areas such as in the machining and manufacturing of micro-tools [7], engine fuel injectors, and cooling holes in turbine blades [5].…”