Logo SFB 871 Produkt-Regeneration
Logo: SFB 871
Logo SFB 871 Produkt-Regeneration
Logo: SFB 871
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D Comprehensive control of the regeneration processes

In Project Area D, “Comprehensive control of the regeneration processes", techniques are investigated which help to arrive at decisions on the choices for specific repair paths based on technical as well as economical criteria. Variance also plays a central role here, with respect to production and functionality. In addition, the different business models and the resulting specific, qualitative demands of the owners of the capital goods will be explicitly taken into account.

 The subprojects of project area D are:

D1Capacity Planning
D2Performance Map of Turbo Machinery (finished 2013)
D3Selection of Efficient Modes of Regeneration
D4Aerodynamic influence of coupled geometric variances (finished 2017)
D5Risk Assessment of Regeneration Paths
D6Interaction and overall system behavior
T3Capacity planning and quotation costing for transformer


D1 Capacity Planning

Capacity Planning

Capacity Planning and Coordination with Fuzzy Load Information
In subproject D1 design options of capacity and load adjustment in regeneration processes and the pool management are developed. Subsequently, alternative configurations of the design options are compared in simulation studies and their impact on logistics performance and cost key figures is identified. The simulation results are then transferred into mathematical functions forming the basis for the development of a quantitative evaluation model of alternative design options for the configuration of capacity and load adjustment.


D2 Performance Map Analysis (finished 2013)

Computational Grid of the Through-Flow Program

Geometrical Deviations Affecting the Performance Map of Turbo Machinery
Research project D2 pursues to enable and validate a Variable-Fidelity-Model to determine loss correlations for turbines, by applying and combining numerical methods of varying speed and accuracy. In this way, turbine blade losses are obtained over a wide range of validity and at a high degree of precision. The new method is able to substitute the common loss correlations that show inaccuracies particularly for degenerated turbines. Furthermore, the effect of combustion chamber defects on the turbine power and efficiency is analyzed and characterized.


D3 Selection of Modes of Regeneration

Selection of Modes of Regeneration

Selection of efficient modes of regeneration for different customer business models
In subproject D3 decision models for the efficient selection of modes of regeneration are developed. The uncertainty of the regeneration orders and the interdependencies of different orders are explicitly taken into account. Moreover, methods are developed to support regeneration service providers in the design of their service portfolio. Thereby, the business models of the customers are considered explicitly. Efficient problem-specific solution methods are developed to solve these planning problems. The computing time as well as the solution quality of these solution approaches is experimentally evaluated. The new methods are used to analyze these planning problems from an economic perspective.


D4 Coupled geometric variances (finished 2017)

Aerodynamic influence of coupled geometric variances
The sensitivity of integrated blade-disk couplings (BLISK) towards geometric variances are subject of investigation in the research project D4. Especially the impact of the coupling of different geometric variations within the blading on the aerodynamic performance are analyzed and assessed in detail. The geometric variations within the blading are caused by operation and regeneration. Industrial used Blisks as well as the research Blisks, designed and manufactured within the CRC, are supposed to be investigated. The essential result should be a method to evaluate the aerodynamic impact of geometric variances caused by operation and regeneration of a Blisk. This is an important basis for the planning of regeneration paths as well as the definition of new regeneration processes.


D5 Risk Assessment of Regeneration Paths

Risk Assessment of Regeneration Paths for Supporting Simultaneous Decisions
The research project D5 complements the SFB 871 with a risk assessment of the regeneration paths, which supports decisions before and during the regeneration. Based on an efficient systems modeling the combined effects of all uncertainties are analyzed numerically. Both stochastic variability and vagueness in subjective assessments are considered. The risks for the result of the regeneration, which result from the uncertainties, are quantified. These risks concern, for example, a limited reliability or lifetime of the capital goods. The quantified risks support decisions for an optimal selection and adjustment of the regeneration paths.


D6 Interaction and overall system behavior

Selection of Modes of Regeneration

Interaction of combined module variances and influence on the overall system behavior
The aim of sub-project D6 is the analysis and evaluation of aero-thermodynamic effects of combined module variances on the performance and the operational behavior of a turbofan-engine. Therefore, the in-house programme ASTOR (AircraftEngine Simulation for Transient Operation Research) will be developed to simulate the transient behavior of a turbofan-engine, including the unsteady thermal flow and the secondary air system. Thus, it is possible to analyze the interaction between combined modules and the influence on the overall system behavior as a result of deterioration and regeneration. Based on these analyses, suitable measures for improved product regeneration can be derived.


T3 Capacity planning and quotation costing for transformer regeneration by means of data mining

Capacity planning and quotation costing for transformer regeneration by means of data mining
Within the project D1 a new approach for capacity planning in terms of the regeneration of aircraft engines was developed. This approach will be enhanced in cooperation with a rail vehicle transformer manufacturer to consider the specific conditions and restrictions. Therefor a process model will be conveyed and different algorithms will be developed to enable capacity planning and load control as well as quotation costing at previously uncertain workload for regenerating rail vehicle transformers.