Online optimal tuning of fuzzy PID controller using grey wolf optimizer for quarter car semi-active suspension system
SAGE Journals » Advances in Mechanical Engineering
by Yunyun Liu, Azizan As’arry, Hesham Ahmed, Abdul Aziz Hairuddin, Mohd Khair Hassan, Mohd Zakimi Zakaria, Shuai Yang
1d ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. In order to reduce vibration and increase ride comfort, this article utilizes a system of quarter-car suspension integrated with a Fuzzy PID controller. To build and improve the Fuzzy PID controller for the semi-active suspension system used in quarter cars, using a novel meta-heuristic technique known as Grey Wolf Optimizer (GWO). Here the magnetorheological damper (MR) fluid with the Fuzzy PID controller was examined to optimize using the GWO algorithm. With the GWO technique and the integral of time absolute error (IAE ..read more
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Flexural behavior of two-layer reinforced concrete slab with hollow cores
SAGE Journals » Advances in Mechanical Engineering
by Ahmed S. Eisa, Louay A. Aboul-Nour, Asmaa El-Ghamry, Martina Zeleňáková, Dušan Katunský
1w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. Flexural behavior of a concrete slab system with an optimal weight-to-strength ratio comprising layered and hollow-core slab structures was investigated using two-layered slabs with hollow cores (LS/HCS). Six slabs with dimensions of 180, 450, and 1600 mm were tested experimentally and numerically using ANSYS software. Each layered slab comprises a 90-mm-thick lightweight concrete bottom layer and a 90-mm-thick high-strength concrete top layer. Three parameters were studied: core diameter (58, 86, and 110 mm), reinforcement ..read more
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Computer numerical control machine tool wear monitoring through a data-driven approach
SAGE Journals » Advances in Mechanical Engineering
by F Gougam, A Afia, MA Aitchikh, W Touzout, C Rahmoune, D Benazzouz
1w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. The susceptibility of tools in Computer Numerical Control (CNC) machines makes them the most vulnerable elements in milling processes. The final product quality and the operations safety are directly influenced by the wear condition. To address this issue, the present paper introduces a hybrid approach incorporating feature extraction and optimized machine learning algorithms for tool wear prediction. The approach involves extracting a set of features from time-series signals obtained during the milling processes. These fea ..read more
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A study on the actual heat leak of a cryogenic vessel during storage
SAGE Journals » Advances in Mechanical Engineering
by Zhengqing Li, Xiaojun Wang, Shengsheng Yang, Xianhu Han, Yuhong Cai
1w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. In the traditional method, as the loss product and gas are considered to be saturated, the heat leak of a cryogenic vessel is the latent heat of loss product. However, the temperature of loss product and gas exceeds the saturated temperature as measured in tests. Therefore, a portion of the heat leak is absorbed by the loss product when it diffuses into the gas phase of a cryogenic vessel in the storage process. In this study, the energy equations of the gas and liquid are established in cryogenic vessels during storage to ..read more
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Theoretical analysis of vibration characteristics of high-speed cylindrical roller bearing with groove elastic supports
SAGE Journals » Advances in Mechanical Engineering
by Xue Sun, Yanhong Jiang, Shiliang Liu, Jun Xu, Wenhu Zhang
1w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. As a necessary support system of high-speed rotor system, the roller bearing with elastic support’s vibration characteristics directly affect the stability and safety of rotor system. At this point, the theoretical analysis of bearing performance under the assumption of rigid ring is obviously no longer applicable. In this paper, considering the elastic deformation of both cylindrical roller bearing outer ring and the groove elastic support, the dynamic differential equations of cylindrical roller bearing with the elastic s ..read more
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Experimental research on effects of influence factors on the axial cutter vibration, cutting forces and the sugarcane cutting quality under complicated excitations
SAGE Journals » Advances in Mechanical Engineering
by Hanning Mo, Shaochun Ma, Zhimin Huang, Shangping Li, Chen Qiu
1w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. The sugarcane field excitation, the engine excitation and reaction forces acting on cutters constitute complicated excitations of sugarcane harvesters. Axial cutter vibration displacement measuring and sugarcane cutting experiments were done on a self-developed sugarcane harvester experiment platform (SHEP) with complicated excitations simulated through a simulated sugarcane field exciter and an actuating engine. Effects of the sugarcane field excitation, the engine excitation and cutting parameters on the axial cutter vibr ..read more
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Improved analytical model for calculating mesh stiffness and transmission error of helical gears considering root curve: Theoretical analysis and experiments
SAGE Journals » Advances in Mechanical Engineering
by Ziqian Liu, Yanjun Jiang, Ruitian Luo, Yangda Wu, Jiaopeng Huang, Nan Feng, Kui Li
2w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. A modified algorithm is proposed in this study to correct time-varying mesh stiffness (TVMS) and transmission error (TE) in helical gears considering tooth root transition curve. The parametric model of helical gear is established by using the meshing principle of helical gear and hob in order to obtain the accurate tooth root transition curve. Moreover, a TE test rig is set up to compare the theoretical and experimental results. The results of the improved algorithm are very similar to the experimental results compared to ..read more
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A novel reliability analysis methodology based on IPSO-MCopula model for gears with multiple failure modes
SAGE Journals » Advances in Mechanical Engineering
by Xia ErDong, Zhou FuPing, Wang Kun-Chieh, Wang ChunRong, Gao Hao
2w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. In order to accurately and quickly predict the failure probability of gears with multiple failure modes, a novel reliability analysis methodology based on the mixed Copula (MCopula) function model is proposed to deal with the complex correlation among different failure functions. Firstly, we construct a novel MCopula model based on three famous Copula functions: Gumbel Copula, Clayton Copula, and Frank Copula functions. Secondly, we use and improve the particle swarm optimization (PSO) method to optimally calculate the weig ..read more
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A combined CFD-based simulation and experimental study of particle dispersion in a high-concentration airtight space under unorganized airflow
SAGE Journals » Advances in Mechanical Engineering
by Xiaonan Li, Tianpeng Li, Tong Xu, Ran Zhao, Xinbao Gao, Zhaolong Xuan
3w ago
Advances in Mechanical Engineering, Volume 16, Issue 2, February 2024. It is significant to obtain the particle distribution data for workpiece processing and industrial protection strategies. To simulate the particle dispersion in a high-concentration airtight space under unorganized airflow, a CFD-based simulation and experimental were utilized in this study. The proposed method works in three steps. The first step is to use Stokes-MRF-Fan-CFD model to simplify the distribution of high-concentration particles calculation to the dispersion state of the gas components. The second step is to co ..read more
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Fault data enhancement and real-time diagnosis using optimized ViT ++ algorithm for electric drive system
SAGE Journals » Advances in Mechanical Engineering
by Lihui Zheng, Xiaofen Fang, Xinjun Jin, Qiang Li, Weidong Chen
3w ago
Advances in Mechanical Engineering, Volume 16, Issue 1, January 2024. With the rapid development of electric drive technology for new energy vehicles, fault data identification of key components of electric drives has become a crucial issue in improving the stability and safety of electric systems. However, traditional fault data recognition methods have many limitations in dealing with complex and variable operating fault situations. To address this problem, this paper proposes a deep learning model, Vision Transformer Plus (ViT++), based on the self-attention mechanism and combined with data ..read more
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