Article presents the designing of optimal layout of devices. Design is based on triangular representation which is used enhanced by genetic algorithms. The results have shown that the presented system is very efficient at design process of layout with larger number of devices
COBISS.SI-ID: 17379350
The past decade has seen significant advancement in the field of mobile devices. Various smart devices such as cellular phones, tablets and PDAs have become universal tools in our everyday lives. Their versatility is based on their computing power, portability and their integration with other devices and services such as the World Wide Web. However, these smart devices have an even wider usability spectrum. They can also be used for wireless industrial measurements using existing sensors. The wireless connectivity of existing industrial sensors is achieved by equipping them with a Bluetooth module, which digitizes the data and passes it to any Bluetooth capable smart device for further processing, evaluation and logging. This paper describes the specially designed Bluetooth platform for wireless measurements all the way from the basic concept, through hardware, firmware and software implementation, to the sample tests and measurements.
COBISS.SI-ID: 16613654
This paper proposes a system for the automatic programming of a CNC milling machine by particle swarm optimization (PSO). In the presented research, each individual swarm particle presents a possible NC programme. Voxel representation of machining area was used. Bresenham's algorithm was implemented, for the rasterisation of the cuts. Optimisation with PSO was carried out within avoxelised machining area. The system automatically finds the NC programme for optimal machining. The NC programme guarantees an optimal selection of tools, the shortest possible work and rapid motions, and minimisation of the manufacturing time. Thus,achieving a reduction in machining costs and increased productivity. Testing using test work-pieces and 2.5 D milling confirmed the efficiency of the proposed approach. The proposed intelligent system is easily adaptable for programming other types of CNC machines, by PSO.
COBISS.SI-ID: 16252694