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Development of multi-physics numerical simulation model to investigate thermo-mechanical fatigue crack propagation in an autofrettaged gun barrel

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Defence Technology（防务技术） 2021年第5期17卷 1579-1591页

作者： Naveed Hussain faisal qayyum Riffat Asim Pasha Masood Shah Department of Mechanical Engineering University of Engineering and TechnologyTaxilaPakistan Institut für Metallformung Technische Universitat BeragakademieFreibergGermany

In this research,a detailed multi-physics study has been carried out by numerically simulating a solid fractured gun barrel for 20 thermo-mechanical *** numerical model is based on thermal effects,mechanical stress fields and fatigue crack ***-plastic material data of modified AISI 4340 at temperatures ranging from 25 to 1200℃and at strain rates of 4,16,32 and 48 s^(-1) was acquired from high-temperature compression *** was used as material property data in the simulation *** boundary conditions applied are kept similar to the working gun barrel during continuous firing.A methodology has been provided to define thermo-mechanically active surface-to-surface type interface between the crack faces for a better approximation of stresses at the crack *** of results from non-autofrettaged and autofrettaged simulation models provide useful information about the evolution of strains and stresses in the barrel at different points under combined thermo-mechanical loading cycles in both *** effect of thermal fatigue under already induced compressive yield due to autofrettage and the progressive degradation of the accumulated stresses due to thermo-mechanical cyclic loads on the internal surface of the gun barrel(mimicking the continuous firing scenario)has been *** between energy release rate at tips of varying crack lengths due to cyclic thermo-mechanical loading in the non-autofrettaged and autofrettaged gun has been carried out.

关键词： Steel Autofrettage Gun barrel Crack propagation Thermo-mechanical fatigue Numerical simulation Residual stress dissipation

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Improvements in methodology to determine feedback reactivity coefficients

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Nuclear Science and Techniques 2019年第4期30卷 91-104页

作者： faisal qayyum Muhammad Rizwan Ali Awais Zahur R.Khan Department of Nuclear Engineering Pakistan Institute of Engineering and Applied Sciences (PIEAS) Department of Nuclear Engineering Pakistan Institute of Engineering and Applied Sciences(PIEAS)

The reactivity of a nuclear reactor is the most important safety and operating parameter. Due to short reactor period, the Light Water Reactor(LWR) designs require the compensations of rapid unfavorable reactivity increases. The increase in fuel or moderator temperature leads to compensate the reactivity jumps as inherent safety characteristics. The safe and reliable reactor operation requires the accurate assessment of these reactivity changes. This paper highlights the improvements in the methodology to determine the feedback reactivity changes in IAEA MTR benchmark. This method incorporates the reactivity effects of fuel temperature in moderator regions and vice versa. For this purpose, a detailed 3D model of the IAEA 10 MW MTR benchmark reactor is developed employing OpenMC computer code. OpenMC is a probabilistic computer code for neutronic calculations. This work uses temperature-dependent JEFF 3.2 cross-sectional library. The model is validated against the reference results of eigenvalues for control rods(inserted and in fully withdrawn position), control rod reactivity worth, averaged thermal flux in the central flux trap, and power fraction for each fuel element at beginning of life. The validated model is applied to simulate the feedback reactivity coefficients against the conventional reference results. In order to improve the methodology, the effect of the moderator temperature and void on fuel is incorporated to obtain a more realistic value of the fuel temperature ***, the moderator temperature coefficient and void coefficient are improved by incorporating the coupling effects of fuel temperature on moderator. This methodology can be applied to improve the LWR designs.

关键词： OpenMC MTR benchmark Reactivity feedback coefficients Fuel temperature coefficient Moderator temperature coefficient Void coefficient of reactivity

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Hybrid Renewable Energy Resources Management for Optimal Energy Operation in Nano-Grid

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Computers, Materials & Continua 2022年第5期71卷 2091-2105页

作者： Faiza qayyum faisal Jamil Shabir Ahmad Do-Hyeun Kim Department of Computer Engineering Jeju National UniversityJeju-siJeju Special Self-Governing Province63243Korea Department of IT Convergence Engineering Gachon UniversitySujeong-GuSeongnam-SiGyeonggi-Do461-701Korea

Renewable energy resources are deemed a potential energy production source due to their cost efficiency and harmless reaction to the environment,unlike non-renewable energy ***,they often fail to meet energy requirements in unfavorable weather *** concept of Hybrid renewable energy resources addresses this issue by integrating both renewable and non-renewable energy resources to meet the required energy *** this paper,an intelligent cost optimization algorithm is proposed to maximize the use of renewable energy resources and minimum utilization of non-renewable energy resources to meet the energy requirement for a nanogrid *** actual data set comprising information about the load and demand of utility grids is used to evaluate the performance of the proposed nanogrid energy management *** objective function is formulated to manage the nanogrid operation and implemented using a variant of Particle Swarm Optimization(PSO)named recurrent PSO(rPSO).Firstly,rPSO algorithm minimizes the installation cost for ***,the proposed NEMS ensures cost efficiency for the post-installation period by providing a daily operational plan and optimizing renewable ***-of-the-art optimization models,including Genetic Algorithm(GA),bat and different Mathematical Programming Language(AMPL)solvers,are used to evaluate the *** study’s outcomes suggest that the proposed work significantly reduces the use of diesel generators and fosters the use of renewable energy resources and beneficiates the eco-friendly environment.

关键词： Smart grid nanogrid distributed generation(DG) renewable energy optimization machine learning

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Intelligent Microservice Based on Blockchain for Healthcare Applications

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Computers, Materials & Continua 2021年第11期69卷 2513-2530页

作者： faisal Jamil Faiza qayyum Soha Alhelaly Farjeel Javed Ammar Muthanna Department of Computer Engineering Jeju National UniversityJeju-si63243Korea College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia SAP Pakistan Liaison Office Islamabad44010Pakistan Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia Peoples’Friendship University of Russia(RUDN University)6 Miklukho-Maklaya St MoscowMoscow117198Russian Federation

Nowadays,the blockchain,Internet of Things,and artificial intelligence technology revolutionize the traditional way of data mining with the enhanced data preprocessing,and analytics approaches,including improved service ***,one of the main challenges is designing a combined approach that provides the analytics functionality for diverse data and sustains IoT applications with robust and modular blockchain-enabled services in a diverse *** data analytics model not only provides support insights in IoT data but also fosters process *** a robust IoT-based secure analytic model is challenging for several purposes,such as data from diverse sources,increasing data size,and monolithic service designing *** article proposed an intelligent blockchain-enabled microservice to support predictive analytics for personalized fitness data in an IoT *** designed system support microservice-based analytic functionalities to provide secure and reliable services for *** demonstrate the proposed model effectiveness,we have used the IoT fitness application as a case *** on the designed predictive analytic model,a recommendation model is developed to recommend daily and weekly diet and workout plans for improved body ***,the recommendation model objective is to help trainers make future health decisions of trainees in terms of workout and diet ***,the proposed model is evaluated using Hyperledger Caliper in terms of latency,throughput,and resource utilization with varying peers and orderer *** experimental result shows that the proposed model is applicable for diverse resourceconstrained blockchain-enabled IoT applications and extensible for several IoT scenarios.

关键词： Internet of things blockchain microservice fitness service

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