CN114091208A - Modeling-based parallel verification method and system for optimizing low-pressure long blades of nuclear turbine - Google Patents
Modeling-based parallel verification method and system for optimizing low-pressure long blades of nuclear turbine Download PDFInfo
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Abstract
The invention discloses an optimization method for verifying a low-pressure long blade of a nuclear turbine based on modeling parallel, which is used for verifying the safety reliability and the comprehensive economy of key components of an in-service unit and comprises the following steps: step 1, based on a modeling parallel concept, taking a low-pressure long blade of an in-service large-scale half-speed nuclear turbine as a prototype, correspondingly modeling and designing the low-pressure long blade of the full-speed turbine similar to the operation condition of the prototype blade according to a certain modeling ratio, and at least using the low-pressure long blade of the full-speed thermal power turbine; step 2, putting the fully-modeled low-pressure long blades of the full-speed thermal power turbine into different types of units (such as condensing units, heat supplying units and peak shaving units) for long-term operation inspection and collecting inspection result data; and 3, comprehensively evaluating the operation condition, and checking and optimizing. Wherein, the modeling design is based on the similarity theory of parameters, and the specific parameters comprise: geometric parameters, aerodynamic parameters, blade steam bending stress parameters and blade frequency characteristic parameters.
Description
Technical Field
The invention relates to the field of optimization of nuclear power generating units, in particular to a method and a system for verifying optimization of a low-pressure long blade of a nuclear power turbine based on modeling in parallel.
Background
Whether the low-pressure last-stage long blade of the nuclear turbine can meet the requirements of various operating conditions and how to check the safety reliability and the comprehensive economy of the newly designed long blade are the focus of product development and nuclear power plant operation attention.
All main steam turbine development enterprises in the world have standard nuclear power product design, inspection and test processes, and provide a large number of products, and provide required electric power for society on the premise of basic load. The traditional low-pressure last-stage long blade of the nuclear power turbine is mostly designed by referring to the low-pressure part of the thermal power turbine in a modeling mode, a thermal power generating unit with years of successful operation experience is used as a master model, and then continuous iteration and optimized sizing are carried out. However, the difficulty of designing the low-pressure long blade of the nuclear turbine by the traditional method is that the design is originally designed not for the development of the nuclear turbine, the operation difficulty and risk of a nuclear power unit cannot be comprehensively and fully considered, and the adaptability required by the cooperation of nuclear power and renewable energy sources such as wind power, photoelectricity and the like cannot be related. Therefore, the low-pressure last-stage-length blades of the nuclear turbine often have uncertainty or various problems in actual operation. The large nuclear power unit is difficult to perform full-scale long-term test except actual operation, and once a long blade has a problem, the problem is difficult to solve in a short period, so that safety risk and economic loss are huge.
Disclosure of Invention
The invention is carried out to solve the problems and aims to provide a method and a system for verifying the optimization of the low-pressure long blade of a nuclear turbine in parallel based on modeling.
The invention provides a modeling-based parallel verification method for optimizing a low-pressure long blade of a nuclear turbine, which is characterized by comprising the following steps of: step 1, based on a modeling parallel concept, taking an in-service large-scale half-speed nuclear turbine low-pressure long blade as a prototype blade, correspondingly modeling and designing a full-speed turbine low-pressure long blade similar to the running condition of the prototype blade according to a certain modeling ratio, and at least using the full-speed turbine low-pressure long blade to obtain a fully-modeled full-speed thermal turbine low-pressure long blade; step 2, putting the fully-modeled low-pressure long blades of the full-speed thermal power turbine into different types of units for long-term operation inspection, keeping the cooperation between the inspection operation process and the operation of the in-service large-scale half-speed nuclear turbine, and collecting inspection result data; and 3, comprehensively evaluating the operation condition according to the inspection result data, at least inspecting the variable working condition performance of the in-service unit on one hand, and feeding the result back to the modeling design modification and optimization improvement program of the large half-speed nuclear turbine on the other hand. Wherein, the modeling design is based on the similarity theory of parameters, and the specific parameters comprise: geometric parameters, aerodynamic parameters, blade steam bending stress parameters and blade frequency characteristic parameters. The types of the units at least comprise a condensing unit, a heating unit and a peak shaving unit.
The modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine can also have the following characteristics: in step 1, the molding ratio was 1/2.
The modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine can also have the following characteristics: in step 1, the geometric parameters at least comprise the height, the root diameter and the rotating speed of the blade, and the modeling proportion is as follows:
the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine can also have the following characteristics: in the step 1, the aerodynamic parameters at least comprise blade rotating speed, blade profile, wheel periphery speed and steam flow rate, and the blade profile comprises blade height and root diameter. The modeling ratios of the pneumatic parameters were as follows:
the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine can also have the following characteristics: in step 1, the blade steam bending stress comprises a circumferential airflow force, an axial airflow force and a steam bending stress, and parameters required for calculating the blade steam bending stress and corresponding modeling proportions are as follows:
calculating the modeling proportion of the steam bending stress parameter of the final stage blade of the half-speed thermal power turbine according to the following formula and the parameter data of the table:
circumferential airflow force: t-2＝scale2，
Axial airflow force: p-2＝scale2，
Steam bending stress:
the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine can also have the following characteristics: in step 1, parameters and corresponding modeling proportions required for calculating blade frequency characteristics are as follows:
according to the following formula and the above table, the frequency of the last stage blade of the half-speed thermal power turbine is 1/scale of the low-pressure long blade of the nuclear power turbine:
the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine can also have the following characteristics: in the step 2, the peak shaving unit at least comprises a combined cycle unit and a deep peak shaving unit which are frequently started and stopped or run in a two-shift mode, the heat supply unit at least comprises a low-pressure cylinder cutting-off flexibility operation thermal power unit, and the condensation unit at least comprises a high-exhaust-steam-humidity unit without intermediate reheating.
The invention also provides a modeling-based parallel verification nuclear turbine low-pressure long blade optimization system, which is characterized by comprising the following steps of: the modeling design module is based on a modeling parallel idea, takes the low-pressure long blade of the in-service large-scale half-rotating-speed nuclear turbine as a prototype, and models the low-pressure long blade of the full-rotating-speed turbine according to a certain modeling ratio, and at least uses the low-pressure long blade of the full-rotating-speed thermal turbine in actual operation verification; the data collection module is used for collecting inspection result data of the last-stage low-pressure long blade of the full-speed thermal power turbine in different types of thermal power generating units; and the result feedback module is used for feeding back the inspection result data to the modeling design correction and optimization improvement of the large half-speed nuclear turbine.
Action and Effect of the invention
According to the modeling parallel verification-based nuclear turbine low-pressure long blade optimization method, firstly, on the basis of a modeling parallel idea, an in-service large half-speed nuclear turbine low-pressure long blade is used as a prototype blade, the full-speed turbine low-pressure long blade similar to the prototype blade in operation condition is correspondingly modeled and designed according to a certain modeling ratio, and the full-speed turbine low-pressure long blade is at least used in a full-speed thermal power turbine low-pressure long blade to obtain a fully modeled full-speed thermal power turbine low-pressure long blade; then, the fully-modeled low-pressure long blades of the full-speed thermal power turbine are put into different types of units for long-term operation inspection, the inspection operation process keeps cooperation with the operation of the in-service large-scale half-speed nuclear turbine, and inspection result data are collected; and finally, comprehensively evaluating the operation condition according to the inspection result data, on one hand, at least inspecting the variable working condition performance of the in-service unit, and on the other hand, feeding the result back to the modeling design modification and optimization improvement program of the large half-speed nuclear turbine. Wherein, the modeling design is based on the similarity theory of parameters, and the specific parameters comprise: geometric parameters, aerodynamic parameters, blade steam bending stress parameters and blade frequency characteristic parameters. The types of the units at least comprise a condensing unit, a heating unit and a peak shaving unit.
The process is based on a modeling parallel concept to carry out design optimization and operation inspection on the low-pressure long blade of the nuclear turbine, and operation practice verification is carried out on the low-pressure long blade of the nuclear turbine before production, so that the effectiveness of research results and product optimization is determined. Through complete modeling, a low-pressure module corresponding to a last-stage long blade is checked in long-term operation of a thermal power station, optimization is improved according to operation conditions, and finally a result is fed back to optimization and upgrading of a nuclear power turbine.
In addition, the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine breaks through the inherent thinking mode of 'optimization without innovation' of the traditional nuclear power product in the application process. The development process of the last-stage long blade of the nuclear turbine is reconstructed from a design source, the possibility of accidents of the last-stage long blade of the nuclear turbine in actual operation is reduced to the maximum extent, the operation safety of a nuclear power unit is improved, the development of the last-stage long blade of the large nuclear turbine is aimed at providing a basis for a steam turbine manufacturer to verify the safety reliability and the comprehensive economy of products for nuclear power plant users.
Drawings
FIG. 1 is a flow chart of a method for verifying optimization of a low-pressure long blade of a nuclear turbine based on modeling in parallel in an embodiment of the invention.
Detailed Description
In order to make the technical means, creation features, achievement purposes and effects of the method easy to understand and understand, the following embodiments are combined with the accompanying drawings to specifically describe the method and the system for optimizing the low-pressure long blade of the nuclear turbine based on modeling parallel verification.
In the embodiment, a method for optimizing low-pressure long blades of a nuclear turbine based on modeling parallel verification is provided.
FIG. 1 is a flowchart of a method for verifying optimization of a long low-pressure blade of a nuclear turbine based on modeling in parallel in the embodiment.
As shown in fig. 1, the method for optimizing a long low-pressure blade of a nuclear turbine based on modeling parallel verification according to the embodiment includes the following steps:
and S1, based on a modeling parallel concept, taking the low-pressure long blade of the in-service large half-speed nuclear turbine as a prototype blade, correspondingly modeling and designing the low-pressure long blade of the full-speed turbine similar to the running condition of the prototype blade according to the modeling ratio of 1/2, and applying the low-pressure long blade of the full-speed thermal power turbine to obtain the fully-modeled low-pressure long blade of the full-speed thermal power turbine.
The modeling design theory of the long blade is a similarity theory essentially, and a proper modeling principle can ensure that the modeled blade and an original blade have similarity in several aspects of geometric parameters, flow field characteristics, mechanical characteristics and the like, so as to ensure the effectiveness of the modeling design theory.
The modeling design in the embodiment is based on the similarity theory, so that the low-pressure long blade of the full-speed steam turbine and the low-pressure long blade of the half-speed nuclear steam turbine have similarity in the aspects of geometric parameters, aerodynamic parameters, blade steam bending stress parameters and blade frequency characteristic parameters.
The geometric parameters comprise the height, the root diameter and the rotating speed of the blade, and the modeling proportion is as follows:
the aerodynamic parameters include blade rotational speed, profile, wheel speed, and steam flow rate, and the profile includes blade height and root diameter. The modeling ratios of the pneumatic parameters were as follows:
the blade steam bending stress comprises circumferential airflow force, axial airflow force and steam bending stress, and parameters required for calculating the blade steam bending stress and corresponding modeling proportions are as follows:
calculating the modeling proportion of the steam bending stress parameter of the final stage blade of the half-speed thermal power turbine according to the following formula and the parameter data of the table:
circumferential airflow force: t-2＝scale2，
Axial airflow force: p-2＝scale2，
Steam bending stress:
the parameters required for calculating the blade frequency characteristics and the corresponding modeling ratios are as follows:
according to the following formula and the above table, the frequency of the last stage blade of the half-speed thermal power turbine is 1/scale of the low-pressure long blade of the nuclear power turbine:
and step S2, putting the fully-modeled low-pressure long blades of the full-speed thermal power turbine into different types of units (such as condensing units, heat supplying units and peak shaving units) for long-term operation examination, collecting data, and keeping the process cooperated with the operation of the in-service large half-speed nuclear turbine to provide a basis for the improvement and the optimized upgrade of the low-pressure long blades of the in-service nuclear power turbine.
The long-term operation inspection refers to that the modularized blades are applied to a thermal power generating unit with stricter examination conditions aiming at different requirements of different working environments of a nuclear turbine on a last-stage long blade and a low-pressure through flow and different safe operation problems such as low-cycle fatigue, flutter, dynamic stress, water erosion and the like, for example: the system comprises a combined cycle unit which is frequently started and stopped and even runs in two shifts, a thermal power unit which flexibly runs with low-pressure cylinder cutting and the like and deeply adjusts peaks, a high-exhaust-steam-humidity unit without intermediate reheating and the like.
The safety reliability and the pneumatic performance of the last-stage blade are checked through long-term operation practice, the possible safety problems of the blade are checked respectively, sufficient data are accumulated, and then the last-stage long blade of the nuclear turbine is fed back, optimized and improved.
And step S3, comprehensively evaluating the operation condition, and on one hand, checking the safety reliability and the comprehensive economy of the key components of the in-service unit, especially the variable working condition performance. And on the other hand, if a problem is found, the result is fed back to a correction and optimization improvement program of the large half-speed nuclear turbine in time, and the active thermal power generating unit is optimized and improved according to the feedback result.
This embodiment still provides a long blade optimizing system of nuclear turbine low pressure based on modularization parallel verification, includes:
and a modeling design module, which carries out modeling design according to the implementation process of the step S1 to obtain the low-pressure long blade of the full-speed steam turbine.
And the data collection module is used for collecting the inspection result data of the last-stage low-pressure long blade of the full-speed thermal power turbine in different types of thermal power generating units.
And the result feedback module is used for feeding back the inspection result data to the correction and optimization improvement of the large half-speed nuclear turbine.
Effects and effects of the embodiments
According to the modeling parallel verification-based nuclear turbine low-pressure long blade optimization method, firstly, on the basis of a modeling parallel idea, an in-service large half-speed nuclear turbine low-pressure long blade is used as a prototype blade, the full-speed turbine low-pressure long blade similar to the prototype blade in operation condition is correspondingly modeled and designed according to a certain modeling ratio, and the full-speed turbine low-pressure long blade is at least used in the full-speed thermal power turbine low-pressure long blade to obtain the fully modeled full-speed thermal power turbine low-pressure long blade; then, the fully-modeled low-pressure long blades of the full-speed thermal power turbine are put into different types of units for long-term operation inspection, the inspection operation process keeps cooperation with the operation of the in-service large-scale half-speed nuclear turbine, and inspection result data are collected; and finally, comprehensively evaluating the operation condition according to the inspection result data, on one hand, at least inspecting the variable working condition performance of the in-service unit, and on the other hand, feeding the result back to the modeling design modification and optimization improvement program of the large half-speed nuclear turbine. Wherein, the modeling design is based on the similarity theory of parameters, and the specific parameters comprise: geometric parameters, aerodynamic parameters, blade steam bending stress parameters and blade frequency characteristic parameters. The types of the units at least comprise a condensing unit, a heating unit and a peak shaving unit.
The process is based on a modeling parallel concept to carry out design optimization and operation inspection on the low-pressure long blade of the nuclear turbine, and operation practice verification is carried out on the low-pressure long blade of the nuclear turbine before production, so that the effectiveness of research results and product optimization is determined. Through complete modeling, a low-pressure module corresponding to a last-stage long blade is checked in long-term operation of a thermal power station, optimization is improved according to operation conditions, and finally a result is fed back to optimization and upgrading of a nuclear power turbine.
In addition, the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine breaks through the inherent thinking mode of 'optimization without innovation' of the traditional nuclear power product in the application process. The development process of the last-stage long blade of the nuclear turbine is reconstructed from a design source, the possibility of accidents of the last-stage long blade of the nuclear turbine in actual operation is reduced to the maximum extent, the operation safety of a nuclear power unit is improved, the development of the last-stage long blade of the large nuclear turbine is aimed at providing a basis for a steam turbine manufacturer to verify the safety reliability and the comprehensive economy of products for nuclear power plant users.
The above embodiments are preferred examples of the present invention, and are not intended to limit the scope of the present invention.
Claims (8)
1. A nuclear turbine low-pressure long blade optimization method based on modeling parallel verification is used for detecting the safety reliability and comprehensive economy of key components of an in-service unit and providing a foundation for improvement and perfection of the key components, and is characterized by comprising the following steps:
step 1, based on a modeling parallel concept, taking an in-service large-scale half-speed nuclear turbine low-pressure long blade as a prototype blade, correspondingly modeling and designing a full-speed turbine low-pressure long blade similar to the running condition of the prototype blade according to a certain modeling ratio, and at least using the full-speed turbine low-pressure long blade for full-speed thermal power turbine to obtain a fully-modeled full-speed thermal power turbine low-pressure long blade;
step 2, putting the fully-modeled low-pressure long blades of the full-speed thermal power turbine into different types of units for long-term operation inspection, keeping the cooperation between the inspection operation process and the operation of the in-service large-scale half-speed nuclear power turbine, and collecting inspection result data;
step 3, comprehensively evaluating the operation condition according to the inspection result data, on one hand, at least inspecting the variable working condition performance of the in-service unit, on the other hand, feeding the result back to the modeling design modification and optimization improvement program of the large half-speed nuclear turbine,
the modeling design is based on a similarity theory of parameters, and the specific parameters comprise:
geometric parameters, pneumatic parameters, blade steam bending stress parameters and blade frequency characteristic parameters,
the types of the units at least comprise a condensing unit, a heating unit and a peak shaving unit.
2. The modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine according to claim 1, wherein the method comprises the following steps:
wherein, in the step 1, the modeling ratio is 1/2.
3. The modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine according to claim 1, wherein the method comprises the following steps:
the geometric parameters at least comprise the height, the root diameter and the rotating speed of the blade, and the modeling proportion is as follows:
4. the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine according to claim 1, wherein the method comprises the following steps:
wherein in the step 1, the pneumatic parameters at least comprise blade rotating speed, blade profile, wheel periphery speed and steam flow rate,
the blade profile comprises a blade height and a root diameter,
the modeling proportion of the pneumatic parameters is as follows:
5. the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine according to claim 1, wherein the method comprises the following steps:
wherein in the step 1, the steam bending stress of the blade comprises circumferential airflow force, axial airflow force and steam bending stress,
parameters required for calculating the steam bending stress of the blade and corresponding modeling proportions are as follows:
calculating the modeling proportion of the steam bending stress parameter of the final stage blade of the half-speed thermal power turbine according to the following formula and the parameter data of the table:
circumferential airflow force: t-2＝scale2，
The axial airflow force is: p-2＝scale2，
The steam bending stress:
6. the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine according to claim 1, wherein the method comprises the following steps:
in step 1, parameters and corresponding modeling proportions required for calculating the blade frequency characteristics are as follows:
according to the following formula and the above table, the frequency of the last stage blade of the half-speed thermal power turbine is 1/scale of the low-pressure long blade of the nuclear power turbine:
7. the modeling-based parallel verification method for optimizing the low-pressure long blade of the nuclear turbine according to claim 1, wherein the method comprises the following steps:
wherein in the step 2, the peak shaving unit at least comprises a combined cycle unit which is frequently started and stopped or runs in two shifts and a unit for deep peak shaving,
the heat supply unit at least comprises a thermal power generating unit with low pressure cylinder cutting flexibility,
the condensation at least comprises a high exhaust steam humidity unit without intermediate reheating.
8. The utility model provides a based on modularization parallel verification nuclear power steam turbine low pressure long blade optimizing system which characterized in that includes:
the modeling design module is based on a modeling parallel idea, takes the low-pressure long blade of the in-service large-scale half-rotating-speed nuclear turbine as a prototype, and models the low-pressure long blade of the full-rotating-speed turbine according to a certain modeling ratio, and at least uses the low-pressure long blade of the full-rotating-speed thermal turbine in actual operation verification;
the data collection module is used for collecting inspection result data of the final-stage low-pressure long blade of the full-speed thermal power turbine in different types of thermal power generating units;
and the result feedback module is used for feeding back the inspection result data to the modeling design correction and optimization improvement of the large half-speed nuclear turbine.
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103061825A (en) * | 2011-10-20 | 2013-04-24 | 株式会社日立制作所 | Turbine blade, turbine rotor using thereof and steam turbine |
| CN112580164A (en) * | 2020-12-14 | 2021-03-30 | 哈尔滨汽轮机厂有限责任公司 | Design method of low-pressure long blade of nuclear turbine |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103061825A (en) * | 2011-10-20 | 2013-04-24 | 株式会社日立制作所 | Turbine blade, turbine rotor using thereof and steam turbine |
| CN112580164A (en) * | 2020-12-14 | 2021-03-30 | 哈尔滨汽轮机厂有限责任公司 | Design method of low-pressure long blade of nuclear turbine |
Non-Patent Citations (3)
| Title |
|---|
| YEMING LU 等: "Investigation of the effects of the impeller blades and vane blades on the CAP1400 nuclear coolant pump’s performances with a united optimal design technology", PROGRESS IN NUCLEAR ENERGY 126 (2020) 103426, 23 June 2020 (2020-06-23), pages 1 - 14 * |
| 管继伟;张秋鸿;李宇峰;刘长春;: "1500r/min核电汽轮机71英寸末级叶片的研发", 汽轮机技术, no. 01, 25 February 2016 (2016-02-25), pages 21 - 23 * |
| 黄钢, 李宇峰: "长叶片约束予扭设计体系研究", 汽轮机技术, no. 06, 10 December 1999 (1999-12-10), pages 358 - 362 * |
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