The electrode wear in micro-electrical discharge milling (EDM) is one of the main problems to be solved in order to improve machining accuracy. This paper presents an investigation on wear and material removal in micro-EDM milling for selected process parameter combinations typical of rough and finish machining of micro-features in steel.
COBISS.SI-ID: 11316507
In Electrical Discharge Machining, as one of often used machining proceses for prototyping, appropriate average current in the gap has to be selected for the given machining surface to obtain the highest material removal rate at low electrode wear. Thus, rough machining parameters have to be selected according to the machining surface. In this paper, inductive machine learning is used to derive a model for selection of process parameters.
COBISS.SI-ID: 10882587
A novel approach to avoid the knowledge gap between design and production is presented in this paper. The main idea is to build a system in the form of a computer program whose core is the manufacturing expert systems to be used by the product designer. The system reveals critical features of the designed product from the manufacturing point of view and points them out to the product designer. The product designer can decide whether to change the critical part of the product or not.
COBISS.SI-ID: 8915995
The surface current density is very important in the case of the machining of rough surfaces where the highest material removal rate is preferred. For a given eroding surface there exists an optimal electrical current at which the highest material removal rate is achieved. It was experimentally proved that the percentage of harmful discharges during the EDM process can be used to monitor the surface current density in the gap between the workpiece and the electrode.
COBISS.SI-ID: 10335515
A capacitive-type counter of nanoparticles in air, based on measurement of the capacitance of a capacitor with a variable dielectric part, has been developed. The method is suitable for detection of aerosols in a wide concentration range, regardless of shape or chemical composition. The method is demonstrated experimentally and verified by numerical simulations. The counter allows for construction of a simple, portable, and cheap nanoparticle detector for air quality control.
COBISS.SI-ID: 23475495