为采用自动修整、收缩配合和绕线工艺组合处理的厚壁圆筒制定高效的设计优化战略

IF 5.1 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Engineering Science and Technology-An International Journal-Jestech Pub Date : 2024-08-14 DOI:10.1016/j.jestch.2024.101799
Mohamed Elfar , Ramin Sedaghati , Ossama R. Abdelsalam
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引用次数: 0

摘要

在各种机械应用中,通常采用收缩配合、绕线和自动钝化工艺来提高厚壁气缸的疲劳强度和耐用性。本研究开发了一种新颖实用的优化设计方法,用于确定厚壁气缸的最佳配置,并将收缩贴合、绕线和自动钝化技术进行不同的组合。其目的是确定最佳层厚、收缩配合过盈量、常规自动钝化压力和反向自动钝化压力(如适用),使压缩残余应力最大化,拉伸残余应力最小化,从而延长气缸的疲劳寿命。首先,确定了采用不同加固工艺组合的厚壁气缸的不同配置。随后,根据相同的制造工艺,为这些配置生成通过圆柱体厚度的残余箍应力剖面数据集。有效利用神经网络回归为残余箍筋应力剖面构建单一拟合函数。为确定最佳训练函数、激活函数和超参数,进行了参数研究,结果与数据集非常吻合,决定系数超过 0.97。利用遗传算法和顺序二次编程算法的组合来确定精确的最优值。随后进行了疲劳寿命分析,以估算最佳配置的疲劳寿命。结果表明,在 300 兆帕循环压力负荷下,最佳配置(包括内层的传统自动搪瓷,然后用原始层进行收缩装配,并对整个组件进行绕线)的最大疲劳寿命为 88 × 10⁶次。
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Development of an efficient design optimization strategy for thick-walled cylinders treated with combinations of autofrettage, shrink-fit and wire-winding processes

Shrink-fit, wire-winding, and autofrettage processes are commonly utilized to enhance fatigue strength and durability of thick-walled cylinders across various mechanical applications. In this study, a novel practical design optimization methodology has been developed to determine the optimal configuration of a thick-walled cylinder, incorporating different combinations of shrink-fit, wire-winding, and autofrettage techniques. The objective is to identify the optimal layer thickness, shrink-fit interference, conventional autofrettage pressure, and reverse autofrettage pressure, if applicable, to maximize the compressive residual stress and minimize the tensile residual stress, thereby extending fatigue lifetime of the cylinder. First, different configurations of thick-walled cylinders, subjected to various combinations of reinforcement processes, are identified. A dataset of residual hoop stress profiles through the cylinder thickness is subsequently generated for these configurations based on the same manufacturing process. Neural network regression is effectively utilized to construct a single fitting function for the residual hoop stress profiles. A parametric study is performed to determine the optimal training functions, activation functions, and hyperparameters, achieving a remarkable agreement with the dataset, indicated by a coefficient of determination of over 0.97. A combination of Genetic Algorithm and Sequential Quadratic Programming algorithms is utilized to determine the accurate optimal values. Fatigue life analysis is subsequently conducted to estimate the fatigue lifetime of the optimal configuration. Results suggest that the optimal configuration, involving conventional autofrettage of the inner layer followed by shrink-fitting with a virgin layer and wire-winding the entire assembly, achieves a maximum fatigue life of 88 × 10⁶ cycles under cyclic pressure load of 300 MPa.

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来源期刊
Engineering Science and Technology-An International Journal-Jestech
Engineering Science and Technology-An International Journal-Jestech Materials Science-Electronic, Optical and Magnetic Materials
CiteScore
11.20
自引率
3.50%
发文量
153
审稿时长
22 days
期刊介绍: Engineering Science and Technology, an International Journal (JESTECH) (formerly Technology), a peer-reviewed quarterly engineering journal, publishes both theoretical and experimental high quality papers of permanent interest, not previously published in journals, in the field of engineering and applied science which aims to promote the theory and practice of technology and engineering. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. The scope of JESTECH includes a wide spectrum of subjects including: -Electrical/Electronics and Computer Engineering (Biomedical Engineering and Instrumentation; Coding, Cryptography, and Information Protection; Communications, Networks, Mobile Computing and Distributed Systems; Compilers and Operating Systems; Computer Architecture, Parallel Processing, and Dependability; Computer Vision and Robotics; Control Theory; Electromagnetic Waves, Microwave Techniques and Antennas; Embedded Systems; Integrated Circuits, VLSI Design, Testing, and CAD; Microelectromechanical Systems; Microelectronics, and Electronic Devices and Circuits; Power, Energy and Energy Conversion Systems; Signal, Image, and Speech Processing) -Mechanical and Civil Engineering (Automotive Technologies; Biomechanics; Construction Materials; Design and Manufacturing; Dynamics and Control; Energy Generation, Utilization, Conversion, and Storage; Fluid Mechanics and Hydraulics; Heat and Mass Transfer; Micro-Nano Sciences; Renewable and Sustainable Energy Technologies; Robotics and Mechatronics; Solid Mechanics and Structure; Thermal Sciences) -Metallurgical and Materials Engineering (Advanced Materials Science; Biomaterials; Ceramic and Inorgnanic Materials; Electronic-Magnetic Materials; Energy and Environment; Materials Characterizastion; Metallurgy; Polymers and Nanocomposites)
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