A Review on Optimization of Process Parameters for Improving Performance in Electrical Discharge Machining
The correct selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes and, particularly, in processes related to Electrical Discharge Machining (EDM). It is a capable of machining geometrically complex or hard material components, that are precise and difficult-to-machine such as heat treated tool steels, composites, super alloys, ceramics, carbides, heat resistant steels etc. being widely used in die and mold making industries, aerospace, aeronautics and nuclear industries. From the point of view of industrial applications, SS 410 is a very important material and that’s why for the purpose of experimentation SS 410 with copper electrode and EDM oil as dielectric has been used In the present work. I will take input parameter discharge current, pulse on time and pulse off time. Design of Experiment (DOE) with full factorial design has been explored to produce 27 specimens on SS 410 by edm operation. MRR will be calculated from MRR equation and software available for it and then compare it. Collected data related to surface roughness have been utilized for optimization.
Experimental investigation of the effects of tool initial surface roughness on the electrical discharge machining (EDM) performance
Electrical discharge machining (EDM) has become an essential process in the modernized manufacturing, as it has been applied in diverse applications such as die cavities manufacturing for automotive components, connecting rods, and different intricate shapes. The proper choice of EDM machining conditions is one of the most critical aspects to consider in the die-sinking electrical discharge machining, as they have great influence on machining performance. Among the parameters and conditions that may affect the machining characteristics, the electrode’s initial surface roughness has not been considered in previous researches. In this study for the first time, the effects of the tool initial surface roughness on the EDM performance are investigated. Experiments are conducted on a die-sinking EDM machine with several different tool initial surface roughness values and EDM parameters to find out the effects on the EDMed workpiece surface roughness, tool wear rate (TWR), material removal rate (MRR), and the tool surface roughness after machining. The results show that TWR increases and MRR decreases by increase in tool surface roughness during finish, semi-rough, and rough EDM processes. In addition, workpiece surface roughness after EDM machining slightly depends on initial tool surface roughness, while the tool surface roughness after machining depends greatly on EDM machining parameters.
On the use of the Weibull and the normal cumulative probability models in structural design
Abstract In this paper, the Weibull and the normal cumulative probability are discussed and compared in relation to the analysis of the fracture toughness K IC . It is shown that, in the normal distribution, K IC can take negative or zero values, causing complications in structural design. In the Weibull distribution, this does not happen and its lower limit K ICL can be determined without problems. So, the Weibull cumulative probability represents reality in a better form. Finally, comparing experimental data with both distributions, it is found that the Weibull probability is more economics in terms of structural design.