The method and equipment for induction surface hardening of the leading edges of turbine blades

Sorokina, T. M.; Dymchenko, V. V.

doi:10.1007/bf00763118

Cited by 1 publication

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“…Despite such good characteristics, the edges of the last stage steam turbine can be damaged by high velocity mass of condensed steam. To increase the erosion resistance of the leading edge of the blade [1], induction brazing of a Cobalt-based alloy to SUS410Cb steam turbine blades in an electrical power plant has been carried out. Ag-Cu-Zn based material with brazing temperature around 650-790°C is chosen to be the filler metal sandwiched between the stellite strip and the turbine blade.…”

Section: Methodsmentioning

confidence: 99%

“…where n is the total number of experiments and is the temperature deviation from the best brazing temperature. Table 2 shows the experimental results for the temperature deviation and corresponding calculated SNRs using equation (1). The average SNR is then calculated for each factor and level as shown in Fig.…”

Section: ) Selection Of Control Factorsmentioning

confidence: 99%

“…In steam turbines, the blades are subjected to high temperature steam which causes significant erosion wear and damage to the blades. The erosion resistance of the leading edge of a blade may be increased by brazing of stellite plates to it [1]. Brazing is a materials-joining technology that applies heat to the base metals and brings the filler metal into contact with the heated parts.…”

Section: Introductionmentioning

confidence: 99%

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Optimization of Induction Brazing Parameters for Stellite Strip of Steam Turbine Blade Using Taguchi-Neural Network

Muangsong

Sarawan

2013

KEM

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To repair the damaged of steam turbine blades, the method of increasing wear resistance of the blade leading edge with brazing of stellite plates by induction heating has been addressed in this work. Induction brazing of a Cobalt-based alloy to SUS410Cb steam turbine blades in an electrical power plant has been carried out. Ag-Cu-Zn based material was chosen to be the filler metal sandwiched between the stellite strip and the turbine blade. In order to cope with the large size of blades, an automatic brazing process which used moving induction coils has been developed. In the proposed brazing process, there are three parameters that significantly affect the quality of the brazing joints including coil distance, moving coil speed, and power of induction heating. In this work, the optimum choice of brazing parameters is obtained by using a Taguchi-neural network technique. According to the results of our previous work, it is recommended to attain the temperature distribution at around 750°C for maximum strength and good quality brazing in the brazed components. The objective for the evaluation of brazing quality is therefore a function of this temperature and defined as the temperature deviation from the best brazing temperature. The design is verified and confirmed by the manufacturing of brazed joint applying suggested parameters. The experimental results showed that the Taguchi-Neural network method resulted in a better brazed quality than when using only the Taguchi method.

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Section: Methodsmentioning

confidence: 99%

Section: ) Selection Of Control Factorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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