The Experts below are selected from a list of 2412 Experts worldwide ranked by ideXlab platform
Guangchen Bai - One of the best experts on this subject based on the ideXlab platform.
-
dnn based surrogate modeling based feasible performance reliability design methodology for aircraft engine
IEEE Access, 2020Co-Authors: Dalu Cao, Guangchen BaiAbstract:The risks and costs of developing a new Aeroengine are fundamentally depending on the performance design final proposal. Thus, this paper presents a novel Aeroengine performance design methodology that is committed to managing the effectiveness and economic availability of the design proposal. To reach such a target, the presented methodology formulates the traditional thermal cycle design problem as a reliability-based fuzzy optimization. The performance reliability is predicted by the deep neural network (DNN)-based surrogate models while a hyperparameter tuning technique is proposed to find the optimal DNN topology for better implementing a particular deep learning task. The testing results imply the DNN models with optimized topology possess remarkable function approximation capability in global so that achieves significantly higher prediction accuracy. Moreover, the DNN-based surrogate models only cost nearly 0.003% as much computing time as MC simulation (2.3591 sec vs 64746 sec, for 20 samples). Such kind of remarkably higher computational efficiency facilitates the optimization for reliability-based fitness calculation. The efficiency of the presented methodology can be further verified by abundant feasible cycle proposals. The obtained cycle solutions can achieve expected reliability (>95%) in all reference states without unnecessary performance redundancy. Besides, the diversity of feasible cycle solutions contributes to the selection of best proposal associated with engineering situation. The presented effort is favorable to acquire a more cost-efficient design proposal and enrich thermodynamic system design theory.
-
distributed collaborative probabilistic design for turbine blade tip radial running clearance using support vector machine of regression
Mechanical Systems and Signal Processing, 2014Co-Authors: Chengwei Fei, Guangchen BaiAbstract:To improve the computational precision and efficiency of probabilistic design for mechanical dynamic assembly like the blade-tip radial running clearance (BTRRC) of gas turbine, a distribution collaborative probabilistic design method-based support vector machine of regression (SR)(called as DCSRM) is proposed by integrating distribution collaborative response surface method and support vector machine regression model. The mathematical model of DCSRM is established and the probabilistic design idea of DCSRM is introduced. The dynamic assembly probabilistic design of Aeroengine high-pressure turbine (HPT) BTRRC is accomplished to verify the proposed DCSRM. The analysis results reveal that the optimal static blade-tip clearance of HPT is gained for designing BTRRC, and improving the performance and reliability of Aeroengine. The comparison of methods shows that the DCSRM has high computational accuracy and high computational efficiency in BTRRC probabilistic analysis. The present research offers an effective way for the reliability design of mechanical dynamic assembly and enriches mechanical reliability theory and method.
Xiaoming Wang - One of the best experts on this subject based on the ideXlab platform.
-
a systematic error modeling and separation method for the special cylindrical profile measurement based on 2 dimension laser displacement sensor
Review of Scientific Instruments, 2019Co-Authors: Maowei Zhang, Xiaoming WangAbstract:The aim of this study is to improve Aeroengine multistage rotor performance and to reduce the incidence of failures. Measuring the form error of seam allowance connecting cylindrical surface accurately is critical to achieve rotor optimal stack assembly stage-by-stage. In this paper, compared to the traditional cylindrical profile measurement model, a more comprehensive measurement model was built based on a 2-dimensional line laser sensor measurement technique, a model in which the component eccentricity error e, the sensor lateral offset error d, the sensor forward tilt error θx, the sensor lateral tilt error θy, and the rotary table tilt error γ were gradually modeled and separated. The particle swarm optimization algorithm was adopted to solve the model error parameters. The residual error simulation was performed to observe the effect of different levels of offset errors on the measurement results. The Aeroengine rotor seam allowance surface measurement experiment was performed to verify the validity of the method model. We can conclude that the sensor lateral offset error d was 3.214 µm, sensor forward tilt error θx was 12.754″, sensor lateral tilt error θy was 10.365″, and rotary table tilt error γ was 2.146″. The cylindricity error value was 3.701 µm. Compared with the traditional cylindrical profile measurement method, the measurement accuracy of cylindricity error was improved by 1.768 µm. The proposed method can improve the measurement accuracy significantly of multistage rotors in the Aeroengine measurement process; besides, it can also be extended to the measurement of other geometric form errors.The aim of this study is to improve Aeroengine multistage rotor performance and to reduce the incidence of failures. Measuring the form error of seam allowance connecting cylindrical surface accurately is critical to achieve rotor optimal stack assembly stage-by-stage. In this paper, compared to the traditional cylindrical profile measurement model, a more comprehensive measurement model was built based on a 2-dimensional line laser sensor measurement technique, a model in which the component eccentricity error e, the sensor lateral offset error d, the sensor forward tilt error θx, the sensor lateral tilt error θy, and the rotary table tilt error γ were gradually modeled and separated. The particle swarm optimization algorithm was adopted to solve the model error parameters. The residual error simulation was performed to observe the effect of different levels of offset errors on the measurement results. The Aeroengine rotor seam allowance surface measurement experiment was performed to verify the validity...
-
a systematic error modeling and separation method for the special cylindrical profile measurement based on 2 dimension laser displacement sensor
Review of Scientific Instruments, 2019Co-Authors: Maowei Zhang, Xiaoming Wang, Yongmeng Liu, Chuanzhi Sun, Jiubin TanAbstract:The aim of this study is to improve Aeroengine multistage rotor performance and to reduce the incidence of failures. Measuring the form error of seam allowance connecting cylindrical surface accurately is critical to achieve rotor optimal stack assembly stage-by-stage. In this paper, compared to the traditional cylindrical profile measurement model, a more comprehensive measurement model was built based on a 2-dimensional line laser sensor measurement technique, a model in which the component eccentricity error e, the sensor lateral offset error d, the sensor forward tilt error θx, the sensor lateral tilt error θy, and the rotary table tilt error γ were gradually modeled and separated. The particle swarm optimization algorithm was adopted to solve the model error parameters. The residual error simulation was performed to observe the effect of different levels of offset errors on the measurement results. The Aeroengine rotor seam allowance surface measurement experiment was performed to verify the validity of the method model. We can conclude that the sensor lateral offset error d was 3.214 µm, sensor forward tilt error θx was 12.754″, sensor lateral tilt error θy was 10.365″, and rotary table tilt error γ was 2.146″. The cylindricity error value was 3.701 µm. Compared with the traditional cylindrical profile measurement method, the measurement accuracy of cylindricity error was improved by 1.768 µm. The proposed method can improve the measurement accuracy significantly of multistage rotors in the Aeroengine measurement process; besides, it can also be extended to the measurement of other geometric form errors.
I.r. Pashby - One of the best experts on this subject based on the ideXlab platform.
-
laser drilling of cooling holes in Aeroengines state of the art and future challenges
Materials Science and Technology, 2004Co-Authors: C A Mcnally, Janet Folkes, I.r. PashbyAbstract:AbstractAdvances in the efficiency of the Aeroengine have led to an increase in combustion and exhaust gas temperatures. Although superalloys have been developed to withstand these high temperatures, additional cooling of the components is often necessary. This is achieved through thousands of closely spaced cooling holes drilled into the components. Laser drilling offers economical advantages over other non-conventional drilling techniques (e.g. electrical discharge machining). The key limitations and the areas requiring further investigation to develop the laser drilling process to meet future Aeroengine requirements have been identified. Principal areas include the development and investigation of laser barrier methods when drilling through increasingly complicated and smaller cavities, the successful drilling of lower angled effusion holes and the increased use of laser drilling to produce the cooling holes in rotating components. More recent designs of the Aeroengine have incorporated thermal barrier...
Maowei Zhang - One of the best experts on this subject based on the ideXlab platform.
-
a systematic error modeling and separation method for the special cylindrical profile measurement based on 2 dimension laser displacement sensor
Review of Scientific Instruments, 2019Co-Authors: Maowei Zhang, Xiaoming WangAbstract:The aim of this study is to improve Aeroengine multistage rotor performance and to reduce the incidence of failures. Measuring the form error of seam allowance connecting cylindrical surface accurately is critical to achieve rotor optimal stack assembly stage-by-stage. In this paper, compared to the traditional cylindrical profile measurement model, a more comprehensive measurement model was built based on a 2-dimensional line laser sensor measurement technique, a model in which the component eccentricity error e, the sensor lateral offset error d, the sensor forward tilt error θx, the sensor lateral tilt error θy, and the rotary table tilt error γ were gradually modeled and separated. The particle swarm optimization algorithm was adopted to solve the model error parameters. The residual error simulation was performed to observe the effect of different levels of offset errors on the measurement results. The Aeroengine rotor seam allowance surface measurement experiment was performed to verify the validity of the method model. We can conclude that the sensor lateral offset error d was 3.214 µm, sensor forward tilt error θx was 12.754″, sensor lateral tilt error θy was 10.365″, and rotary table tilt error γ was 2.146″. The cylindricity error value was 3.701 µm. Compared with the traditional cylindrical profile measurement method, the measurement accuracy of cylindricity error was improved by 1.768 µm. The proposed method can improve the measurement accuracy significantly of multistage rotors in the Aeroengine measurement process; besides, it can also be extended to the measurement of other geometric form errors.The aim of this study is to improve Aeroengine multistage rotor performance and to reduce the incidence of failures. Measuring the form error of seam allowance connecting cylindrical surface accurately is critical to achieve rotor optimal stack assembly stage-by-stage. In this paper, compared to the traditional cylindrical profile measurement model, a more comprehensive measurement model was built based on a 2-dimensional line laser sensor measurement technique, a model in which the component eccentricity error e, the sensor lateral offset error d, the sensor forward tilt error θx, the sensor lateral tilt error θy, and the rotary table tilt error γ were gradually modeled and separated. The particle swarm optimization algorithm was adopted to solve the model error parameters. The residual error simulation was performed to observe the effect of different levels of offset errors on the measurement results. The Aeroengine rotor seam allowance surface measurement experiment was performed to verify the validity...
-
a systematic error modeling and separation method for the special cylindrical profile measurement based on 2 dimension laser displacement sensor
Review of Scientific Instruments, 2019Co-Authors: Maowei Zhang, Xiaoming Wang, Yongmeng Liu, Chuanzhi Sun, Jiubin TanAbstract:The aim of this study is to improve Aeroengine multistage rotor performance and to reduce the incidence of failures. Measuring the form error of seam allowance connecting cylindrical surface accurately is critical to achieve rotor optimal stack assembly stage-by-stage. In this paper, compared to the traditional cylindrical profile measurement model, a more comprehensive measurement model was built based on a 2-dimensional line laser sensor measurement technique, a model in which the component eccentricity error e, the sensor lateral offset error d, the sensor forward tilt error θx, the sensor lateral tilt error θy, and the rotary table tilt error γ were gradually modeled and separated. The particle swarm optimization algorithm was adopted to solve the model error parameters. The residual error simulation was performed to observe the effect of different levels of offset errors on the measurement results. The Aeroengine rotor seam allowance surface measurement experiment was performed to verify the validity of the method model. We can conclude that the sensor lateral offset error d was 3.214 µm, sensor forward tilt error θx was 12.754″, sensor lateral tilt error θy was 10.365″, and rotary table tilt error γ was 2.146″. The cylindricity error value was 3.701 µm. Compared with the traditional cylindrical profile measurement method, the measurement accuracy of cylindricity error was improved by 1.768 µm. The proposed method can improve the measurement accuracy significantly of multistage rotors in the Aeroengine measurement process; besides, it can also be extended to the measurement of other geometric form errors.
Hong Tian - One of the best experts on this subject based on the ideXlab platform.
-
optimal design of Aeroengine turbine disc based on kriging surrogate models
Computers & Structures, 2011Co-Authors: Zhangjun Huang, Chengen Wang, Jian Chen, Hong TianAbstract:A design optimization method based on kriging surrogate models is proposed and applied to the shape optimization of an Aeroengine turbine disc. The kriging surrogate model is built to provide rapid approximations of time-consuming computations. For improving the accuracy of surrogate models without significantly increasing computational cost, a rigorous sample selection is employed to reduce additional design samples based on design of experiments over a sequential trust region. The minimum-mass shape design of turbine discs under thermal and mechanical loads has demonstrated the effectiveness and efficiency of the presented optimization approach.