Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2012/2013Specialisation: Control of Machines and Processes

Programme: Machines and Equipment

Length of Study: 4 years

Accredited from: Accredited until: 1.3.2016

Guarantor

Issued topics of Doctoral Study Program

  1. Increase in efficiency of unconventional technology cooperation

    The aim of this work is theoretical proposal and practical contribution for the solution of material preparation for conventional machining. Specifically this is the question of the simulation and the proposal of efficient cooperation of unconventional machining technology.

    Supervisor: Šťastný Jiří, prof. RNDr. Ing., CSc.

  2. Modification of automatic control with low depreciation of controlled machine parts system

    The purpose of this work is the theoretical contribution for automatic control tasks where the depreciation and various types of stress on certain parts is a serious problem. Depreciation relates mainly to mechanical parts in the servo systems, which for a long time in operation have reduced the quality of service features, shorter life and are a source of unreliability. It is expected a detailed analysis of the problem, including the draft of criteria for classification different kinds of unwanted stress on different technological parts in various implementation of controlled systems. The focus of work should be a draft of control algorithms, which showed a lower depreciation of equipment involved, compared to the standard procedure. The proposed solution is desirable to verify and evaluate preferably with simulations for selected cases of applications.

    Supervisor: Němec Zdeněk, doc. Ing., CSc.

  3. Uncertainties in the automatic measurement of the influence of external factors

    The quality of measurement results is evaluated by measurement uncertainties nowadays. Automatic measuring systems achieved an objective result and eliminate human influences. External influences bring many errors and uncertainty to measurement. The aim is analyze of main environmental factors and quantify their impact on precision and accuracy of the measurement result by mathematical method.

    Supervisor: Lacko Branislav, doc. Ing., CSc.


Course structure diagram with ECTS credits

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