RESUMEN
The cutting force in orthogonal cutting of steel AISI 1045 was predicted by applying 2D finite element analysis (FEA) using two methods; (i) Lagrangian (LAG) and (ii) Arbitrary Lagrangian Eulerian (ALE). Johnson-Cook (J-C) models were used for defining plastic and failure properties of simulated materials. The predicted force was validated experimentally by using dynamometer. Comparison held between the simulation methods and experimental work in terms of results accuracy, reading stability, and chip morphology. Furthermore, this study adopted new modeling idea to control the excessive distortion of mesh elements along chip separation line by defining nearly zero damage criterion for these elements. The results demonstrated that LAG and ALE methods could predict the cutting force but with different accuracy, as LAG and ALE results deviated from experimental results with minimum error percentage 3.6% and 0.14% respectively. As well, ALE method showed stable force readings and continues smooth chip during simulation, while LAG method showed unstable force readings and discontinuous realistic chip.
RESUMEN
H13 die steel is characterized by its high hardness and need for special surface features that are obtained by nontraditional machining processes. Electrical discharge machining (EDM) is used to machine hard materials and to produce complicated shapes. In this work, different EDM process parameters are investigated on H13 die steel. Several experiments are conducted to study the effect of three process parameters: peak current (Ip), pulse on-time (Ton) and electrode material on the machining process of H13 die steel. The machining process is evaluated by material removal rate (MRR), electrode wear ratio (EWR%) and surface roughness (SR) as indicators of the process efficiency in terms of quality and cost. Taguchi method was used to investigate the significant effect of process parameters on the performance measurements and the optimal parameters of the EDM process. For analysis and explanations Minitab version 17 software was used. Different process parameters were experimentally investigated and statistically analyzed and the results showed that the copper electrode leads to the highest MRR and lowest EWR%; whereas the brass electrode leads to the lowest SR.
RESUMEN
[This corrects the article DOI: 10.1016/j.heliyon.2018.e00876.].
RESUMEN
This paper investigates the mechanical and physical properties of Cu-Ni alloy (at 50-50 wt. %), mixed with different reinforcement materials such as carbon nanotubes CNT (0.5-2 wt. %) as nano particles, Al2O3 (1-4 wt. %) and SiC (1-4 wt. %) as microparticles. The obtained composite specimens characteristics were evaluated such as microstructure, density, electrical conductivity, thermal conductivity, hardness, and compression properties to determine the suitable reinforcement percentage that has the best physical and mechanical properties. The micron-sized Al2O3 and SiC and nano-sized CNT were added to enhance the mechanical and physical properties of the composite. The hardness and compression yield stress of Cu-Ni base composites have shown the most positive enhancement values of up to 135 % and 136 % of the matrix, respectively.