The paper describes a theoretical and experimental research on adaptive control of the metal-cutting process. Results of experiments performed in various cutting conditions on a milling machine connected to a process computer acting as adaptive controller are reported. The behavior of the adaptive control system in stationary and transient conditions and in presence of air gaps has been tested and the results are discussed.
The problem of optimizing the working cycle of an industrial robot equipped with two independent arms is stated and put in mathematical form. The exact solution of this problem seems to be very difficult; the paper proposes approximate solutions for some typical manufacturing processes, carried out by implementing on a minicomputer standard algorithms of Operations Research and heuristic procedures. Examples of the use of the developed software are reported.
The technological and economic aspects of the on-line optimization of turning operations on lathes equipped with a Computerized Numerical Control (CNC) are discussed. A model of the machining process suitable for developing an Adaptive Constrained Control (ACC) is described. For optimization, a hill-climbing strategy which can be software implemented in the operating system of the CNC is used. Performance of such an ACC is also compared with the more general Adaptive Control Optimization (ACO) System. Machining tests carried out on a CNC lathe fitted with the ACC System are reported and discussed. The practical effectiveness of the ACC so developed and the reduction in machining time are demonstrated with reference to complete working cycles of typical workpieces.
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