In research the new concept/paradigm for intelligent programming of CNC-machines was developed. Concept uses GA which are simulating natural evolution. Random NC-programs are during evolution getting better and better and are becoming in the last stage optimal solution for the machining of given stock. Evolutionary development gradually gets the optimal solution, e.g., such NC-program which represents best solution regarding the length of toolpath and the tool wear. Research proved the evolutionary approach to this subject is promising since it assures machining with less cost.
COBISS.SI-ID: 10365718
Digital factory addressed the issue of computer integrated Manufacturing systems, information interfaces in manufacturing, enterprise resource planning system, virtual manufacturing and application of several artificial intelligence techniques in virtual manufacturing.
COBISS.SI-ID: 59223297
Proposes is a new optimization technique based on genetic algorithms (GA) for the determination of the cutting parameters in machining operations. It performs the following: the modification of recommended cutting conditions obtained from a machining data, learning of obtained cutting conditions using neural networks and the substitution of better cutting conditions. Experimental results show that the proposed genetic algorithm-based algorithm for solving the optimization problem is both effective and efficient, and can be integrated into an intelligent manufacturing system.
COBISS.SI-ID: 7746838
A CNC unit with learning ability solves the problem of automatic and intelligent generating of numerical control programs for CNC machining centers for milling, drilling and similar operations. The key module is a neural network (NN) device that learns to generate the NC programs through an NN teaching module. Upon completion of learning process the neural network device can generate automatically, without any intervention of the operator. The computer numerical control control unit with learning ability is suitable especially for machining center.
COBISS.SI-ID: 7335190
Most CAD/CAM and CAP systems manipulate all geometrical features on the part equally. Developing a new methodology the following benefits to praxis: it minimizes the number of set-ups and tool changes and ensures the right sequence of machining strategies. This paper reports a neuro-fuzzy model that uses the concept of "feature manufacturability" to identify and recognize the degree of "pretentiousness-difficulty of machining". This makes possible simultaneous evaluation of features complexity in a CAD model and manufacturing capability.
COBISS.SI-ID: 8975894
Digital factory addressed the issue of computer integrated Manufacturing systems, information interfaces in manufacturing, enterprise resource planning system, virtual manufacturing and application of several artificial intelligence techniques in virtual manufacturing.
COBISS.SI-ID: 59223297
A CNC unit with learning ability solves the problem of automatic and intelligent generating of numerical control programs for CNC machining centers for milling, drilling and similar operations. The key module is a neural network (NN) device that learns to generate the NC programs through an NN teaching module. Upon completion of learning process the neural network device can generate automatically, without any intervention of the operator. The computer numerical control control unit with learning ability is suitable especially for machining center.
COBISS.SI-ID: 7335190