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Online since: December 2011
Authors: Yun Dong Sha, Fei Xu, Zhi Jun Gao, Ji Yong Li
Influence of Thermal Loading on the Dynamic Response of Thin-Walled Structure under Thermo-Acoustic Loading Yundong Sha1, a , Zhijun Gao1, b , Fei Xu1 and Jiyong Li1 1Shenyang Aerospace University, Liaoning Key Laboratory of Digital Technology Simulation and Test Techniques, Shenyang, Liaoning, 110136, P.R.
Large temperature increments may cause thermal buckling, large thermal deflections and large thermal stresses superimposed on dynamic stresses, coupled with changes in material properties.
The material properties are chosen as follows, the Young's modulus , the density , the coefficient of thermal expansion is , the Poisson's ratio is .
AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit, 37 th (1996) 259-266 [5] Wang, R., Yasuda, K., et al., A generalized analysis technique of the stationary FPK equation in nonlinear systems under Gaussian white noise excitations, J.
International Journal of Engineering Science (2000) 1315-1330 [6] Murphy, K.D., Virgin, L.N., et al., Characterizing the dynamic response of a thermally loaded, acoustically excited plate, J.
Online since: November 2025
Authors: Archil Chirakadze, Zakaria Buachidze, Nana Khuskivadze, Irakli Nadiradze
New Trends in Enhancing Biological Efficacy and Safety of Proton Therapy: State of Art and Prospective CHIRAKADZE Archila,*, KHUSKIVADZE Nanab, NADIRADZE Iraklic, BUACHIDZE Zakariad Georgian Technical University, Faculty of Informatics and Control Systems, Department of Engineering Physics, 77 Merab Kostava Avenue, Tbilisi, 0160, Georgia aachirakadze@gtu.ge, bnanakhuskivadze53@gmail.com, cirakli.nadiradze.2015@gmail.com, dzbuachidze@yahoo.com * Corresponding author: achirakadze@gtu.ge Keywords: cancer, proton therapy, heavy ion therapy, efficacy, acute toxicity, highly localized combination therapy, limitations, synergy, nanoparticles, combined therapy of cancer, drug selectivity, alkali metal solutions, cell viability, MTT testing, “High pH Therapy” concept.
However, the real farther overall spread of hadron therapy was much slower due to its high cost, very high research intensity, and very high requirements for medical and engineering staff, so that by the end of 2026 the number of patients will reach only 410–415 thousand, clearly tending to saturation with an ever decreasing share of ion therapy and showing that the increase of the biological efficacy and safety of proton and especially heavy ion therapy is it is an urgent need of today’s time.
Experimental Methods and Materials Instead of the widely used method of quantitatively assessing of therapeutic value using the so-called “therapeutic window”, we used a more accurate and simple method of measuring the selectivity of drugs and drug combinations to cancer cells compared to normal (healthy) tissue cells.
The literature data and obtained data given in Figs. 4 and 5 allow us to make a number of important conclusions about the high expediency and some key details of the use of multicomponent anticancer combinations of drugs containing nanoparticles of metal oxides CuO, ZnO, and Fe3O4.
Today, despite the extremely high initial investment in construction, equipment and training of medical and engineering personnel, we can confidently name a number of diseases (tumors of the central nervous system, chordoma, chondrosarcoma, lung cancer, tumors of the head and neck, malignant tumors in children) in the treatment of which proton therapy in combination with highly localized multicomponent combination therapy will “displace” photon X-ray therapy.
Online since: February 2009
Authors: Ayodeji Emmanuel Oluleye, C.O. Anyaeche
A key benefit is that the system capability is utilised as the baseline for evaluating system performance.
Thesis in the Department of Industrial and Production Engineering, University of Ibadan, Ibadan, 2006
Sink, Current Developments in Firm or Corporate Level Productivity Measurement and Evaluation, Issues In White Collar Productivity , Industrial Engineering Management Press; Industrial Engineering Conference Proceedings of IEE Falls, p. 8, 1983
Tangen, Understanding the Concept of Productivity, Proceedings of the 7th Asian Pacific Industrial Engineering and Management System Conference (APIEMS 2002), Taipei.
Pavlov, Projecting the Development of Russian Economy Using the Dynamic Input-Output Model with Fuzzy parameters 2007, Institute of Economics and Industrial Engineering, Siberian Branch of the Academy of Sciences of the Russian Federation.
Online since: July 2017
Authors: Hong Li Liu, Hong Yan Li, Ai Wu Yang, Jian Guo Zhou, Li Meng Song, Yong Qiang Fu, Ru Yi Li, Cong Sun
Preparation and Characterization of Polysiloxane Modified Graphene Oxide/PMMA Nanocomposites with Non-Convalent Interfaces Hongyan Li1,3,a, Limeng Song1,3,b, Ruyi Li1,3,c, Cong Sun1,3,d, Yongqiang Fu1,3,e, Aiwu Yang2,3,f, Jianguo Zhou4,g, Hongli Liu*1,3,h 1School of Materials Science and Engineering, Tianjin Chengjian University, Tianjin 300384 P.
China 2School of Civil Engineering, Tianjin Chengjian University, Tianjin 300384 P.
China 3Tianjin Key Laboratory of Soft Soil Characteristics and Engineering Environment, Tianjin 300384, China 4School of Science, Tianjin Chengjian University, Tianjin 300384 P.
Graphene based materials: past, present and future.
Kotov, Materials science: carbon sheet solutions.
Online since: September 2011
Authors: Bing Xia, Jin Li Xu, Zhi Lei Chen
Introduction At present the dynamic and constantly rail railway scale has been used widely in orbit transportation measurement.As one of the weighing apparatus, weighing precision of the rail weighbridge is the soul of the product quality.The key focus of rail weighbridge system research is to improve the accuracy of the whole system in the design, manufacture, installation and so on each link.This paper focuses on optimal analysis of the installation position of shear sensor in shear type of rail weighbridge.
Through internal node coordinate location of web we can read the for measuring point respectively,they are N1,N2,N3,N4, The corresponding node values are 83, 88, 93,98 .Use PRDISP command can list text files of each node displacement material.
:Professional Engineering Publishing Ltd(2005) [5] M.Javed Hyder and M.Asif:Engineering failure analysis(2008) [6] Grosse,S and Schroder,W:Measurement Science&Technology(2008)
Online since: November 2012
Authors: Ying Sheng, Yuan Ying Qiu, Kui Li
Multi-objective Optimization of a Large-span Wing Analog Beam with Variable Cross-sections Kui Li1, a, Yuanying Qiu1, b, Ying Sheng1, c 1Ministry of Education Key Lab of Electronic Equipment Structure, Xidian University, Xi’an, 710071, China alikui285@foxmail.com,byyqiu@mail.xidian.edu.cn,cysheng@xidian.edu.cn Keywords: Wing analog beam; Multi-objective Genetic Algorithm; Optimization design; Pareto optimal solution aggregate Abstract.
While a beam structure with variable cross-sections can solve this problem, which is capable of fitting the deformation curve well and reducing material cost as well.
References [1] Lu K J, Kota S: Proceedings of SPIE, Vol. 4693(2002), p.161 [2] Sfidhar Kota, Joel Hetrick, Russell Osbom, Donald Paul, Ed Pendleton, Peter Flick, Carl Tilmann: Proceedings of SPIE, (2003), p.50 [3] (In Chinese)Xiu Chen, Wenjie Ge, Yonghong Zhang, et al.: Acta Eronautica et AStronautica Sinica, Vol. 28(2007), p.1230 [4] (In Chinese)Wenjie Ge, Penggang Zhu, Shili Liu, Yonghong Zhang: Journal of Northwestern Polytechnical University, Vol. 28(2010), p.211 [5] (In Chinese)Guanze Hou, Shutang Liu, Guowei Jian: Engineering Design, Vol. 24(2009), p.30 [6] Farzaneh Hajabdollahia, Hassan Hashemipour Rafsanjani, Zahra Hajabdollahid, Yaser Hamidi: Applied Mathematical Modelling, Vol. 36(2012), p.244 [7] A.
Kheybari: International Journal of Engineering, Vol. 24(2011), p.291 [8] G.
Online since: February 2011
Authors: Zhong Li Ma, Hong Da Liu
Temperature Error Compensation New Method of MFL Sensor to Oil-gas Pipeline Corrosion Inspection Zhongli Ma1, a, Hongda Liu2, b 1 Automation College, Harbin Engineering University, Harbin, Heilongjiang 150001, CHINA 2 Automation College, Harbin Engineering University, Harbin, Heilongjiang 150001, CHINA alhdmzl@163.com, bliuhd405@163.com Keywords: Immune neural network; oil gas pipeline; magnetic flux leakage inspection; temperature error compensation; data fusion.
In MFL inspection detectors, the key element is the magnetic sensors.
But, due to the inherent quality of the conductor material and the shortcomings of manufacturing process, Hall-effect sensors are sensitive to temperature, which leads to measurement error.
Online since: December 2011
Authors: Min Xiang, Wei Hua Zhang, Ming Dong Lin, Zhen Yu Ma
Configuration Analysis of Supercavitating Vehicles Based on Equivalent Pressure Center Method Mingdong Lina, Zhenyu Mab, Weihua Zhangc and Min Xiangd Department of Aerospace Science and Engineering College of Aerospace and Material Engineering National University of Defense Technology Changsha, Hunan, P.R.China almd231@163.com, byuyu1031@163.com, czwh-kjs@163.com, dxiangmin333@hotmail.com Keywords: configuration analysis, equivalent pressure center, supercavitating vehicle.
When a vehicle travels in a supercavity underwater, the relative pitch angle between cavity and the body is the key factor that affects the hydrodynamics and moments.
Online since: February 2014
Authors: Chun Yan Li
The diameter of each tube is 38cm, the wall thickness is 6.5mm, the material of the tube is SA-213T12,the pitch of the tube is 53mm.
Temperature Correlationship of key Points of Membrane Water Walls.
Journal of Power Engineering, 2005,25(6):805-812 [4] Yin Fei, Chen Tingkuan, et al.
Belyakov, et al.Critical Heat Transfer in the Waterwall Tubes of Steam Boilers, Thermal Engineering,35(9),1988:p521-527 [10] Afshin J.
Online since: March 2012
Authors: Shi Jie Wang, Xing Yu Jiang, Long Zhen Xu, Xue Yan Sun
Comprehensive Quality Evaluation Oriented to Product Lifecycle Xingyu JIANG1, a, Longzhen XU1,b, Xueyan SUN1,c and Shijie WANG1,d 1School of Mechanical Engineering, Shenyang University of Technology, 110870 Shenyang China axy_jiang9211@sut.edu.cn, bxulongzh@163.com, cxy_sun@126.com, dshijiewang@163.com Keywords: Quality evaluation, Product lifecycle, FAHP, FCE, Triangular fuzzy number Abstract.
Intorduction With fierce competitiveness of global market, whether a new product which meets customer requirements is developed effectively and in time or not has been main winning factor that depends on survival and development of enterprises. [1,2] Product quality plays an important role in product competitiveness, thus, improving product quality is the key to enhancing enterprise market competitiveness.[3] Comprehensive quality evaluation oriented product lifecycle merges market requirements into each stage of product lifecycle with the goal of improving product quality and meeting market requirements, and master product quality dynamics in time to assure product quality, so that enterprise can response market requirements effectively and quickly[4].
Table 3 Relative Weight of Various Product Quality Evaluation Indicators Technical Feature 0.237 Product Scheme 0.236 Product Structure 0.194 Properties of product 0.298 Product Manufacturability 0.271 Economy 0.203 Cost 0.222 Productivity 0.210 Production Cycle 0.178 Production Quality 0.248 Manufacture Resource 0.152 Market & Customer 0.247 Customers’ Demand 0.331 Market Demand 0.352 Service after Sale 0.330 Benefit & Risk 0.159 Benefit 0.549 Risk 0.451 Ecological Environment 0.154 Noise 0.386 Quality of Water 0.341 Wastes Material 0.273 Calculating combination weights.
Chen: Mechanical Engineering of China Vol.11(2000), p.1394.
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