Academic literature on the topic 'Injection location'
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Journal articles on the topic "Injection location"
Lučin, Ivana, Luka Grbčić, Zoran Čarija, and Lado Kranjčević. "Machine-Learning Classification of a Number of Contaminant Sources in an Urban Water Network." Sensors 21, no. 1 (January 1, 2021): 245. http://dx.doi.org/10.3390/s21010245.
Full textJeong, Eunju, Sean O’Byrne, In-Seuck Jeung, and A. F. P. Houwing. "The Effect of Fuel Injection Location on Supersonic Hydrogen Combustion in a Cavity-Based Model Scramjet Combustor." Energies 13, no. 1 (January 1, 2020): 193. http://dx.doi.org/10.3390/en13010193.
Full textAksamit, Nikolas O., Ben Kravitz, Douglas G. MacMartin, and George Haller. "Harnessing stratospheric diffusion barriers for enhanced climate geoengineering." Atmospheric Chemistry and Physics 21, no. 11 (June 11, 2021): 8845–61. http://dx.doi.org/10.5194/acp-21-8845-2021.
Full textLuboń, Katarzyna. "Influence of Injection Well Location on CO2 Geological Storage Efficiency." Energies 14, no. 24 (December 20, 2021): 8604. http://dx.doi.org/10.3390/en14248604.
Full textJin, Lei, Chao Li, Balaji Palanisamy, and James Joshi. "k-Trustee: Location injection attack-resilient anonymization for location privacy." Computers & Security 78 (September 2018): 212–30. http://dx.doi.org/10.1016/j.cose.2018.07.002.
Full textEucher, Philippe M., Jean-Paul Haxhe, Jean-François De Wispelaere, Serge Broka, and Jean-Claude Schoevaerdts. "Pulmonary nodule location by coil injection." Annals of Thoracic Surgery 60, no. 6 (December 1995): 1858–59. http://dx.doi.org/10.1016/0003-4975(96)81283-5.
Full textPuri, R., and S. R. Gollahalli. "Effects of Location and Direction of Diluent Injection on Radiation and Pollutant Emissions of a Burning Spray." Journal of Energy Resources Technology 111, no. 1 (March 1, 1989): 16–21. http://dx.doi.org/10.1115/1.3231395.
Full textJAVADZADEHKALKHORAN, Majid, Akın KUTLAR, Ömer CİHAN, and Hüseyin Emre DOĞAN. "Determination of the injector type and location for a direct injected Wankel engine." International Journal of Automotive Engineering and Technologies 11, no. 4 (December 30, 2022): 129–39. http://dx.doi.org/10.18245/ijaet.1179168.
Full textHaddad, Header, Syed H. Masood, and Abul B. M. Saifullah. "Gate Location and its Effects on Product Quality in Injection Moulding." Advanced Materials Research 32 (February 2008): 181–84. http://dx.doi.org/10.4028/www.scientific.net/amr.32.181.
Full textWitten, Ben, and Jeffrey Shragge. "Image-domain velocity inversion and event location for microseismic monitoring." GEOPHYSICS 82, no. 5 (September 1, 2017): KS71—KS83. http://dx.doi.org/10.1190/geo2016-0561.1.
Full textDissertations / Theses on the topic "Injection location"
Singh, Shailendra. "Automated fault injection and analysis for wired/wireless networks." Diss., Online access via UMI:, 2009.
Find full textShane, Amanda. "Defining Intervention Location from Social Network Geographic Data of People who Inject Drugs In Winnipeg, Canada." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/24394.
Full textJohnson, Darrel E. "Estimating the Dynamic Sensitive Cross Section of an FPGA Design through Fault injection." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd803.pdf.
Full textChien, Hua-tso, and 簡華佐. "A Study of Optimal Gate Location in Injection Molding." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/xzmycs.
Full text國立臺灣科技大學
機械工程系
94
Gate location has the direct effect on the melt flow direction and balance,and improper design will produce inevitable defects.Therefore, the gate location with flow balance is one of the important key points of mold design of plastic injection molding. This study adopts flow resistance concept in the light of different geometric shape, mesh size, materials (ABS+PC, PP, HDPE) to explore the optimal gate location to reach the filling process with the flow balance. The results show that the optimal gate location is able to effectively improve the over-packing, high wall shear stress and disproportionate temperature distribution which will influence plastic part quality. After the optimal gate location being obtained, one case was further studied by using Taguchi method, genetic algorithm, simulated annealing method, artificial neural network and response surface method, with single or hybrid mode to find the optimal molding parameter setting such as mold temperature, melt temperature, injection time, packing time and packing pressure. It is revealed that the optimal method is able to effectively reduce plastic part warpage. Taguchi method can achieve satisfactory result with small relatively amount of simulations. The genetic algorithm and simulated annealing method couples with artificial neural network or response surface method have the advantage to tune the processing parameters,and to promote product quality.
鄭鵬遠. "CAE Analysis for Ejection Force and Pins Location of Plastic Injection." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/97304557698799878588.
Full text逢甲大學
機械與電腦輔助工程學系
102
In recent years, use computer to simulation analysis which is more importance. For now, the trend of industry move toward to high precision, complicated shape, the cost of materials which is high. Because of these factors, it becomes very important to simulation analysis before we experiment. By using CAE Software to find the problems which designers neglects events. That makes ejector system be digital. Find out the problems when the product ejection. By using Mold flow Software and ANSYS Software to analysis structure and the mold flows, to estimate the Ejection Force of distribute when plastic products ejection. Designers design the position of pin according to these positions. There are total eight different ways to design the configuration of pins.Then analysis whether the product of plastic may be out of shape. The result shown, on the basis of cost, the number of pins should be twenty four. If according to the product of stress, it should have twenty nine pins which is better configuration. Verification feasibility of three cases, indicate that the logic of the resistance of the distributed is as the same as that of the position of pins. And the resistance when ejection that associated with the shape of the plastic product, designers also consider the factors.
Chan, Chien-Lin, and 陳建霖. "Cooling Channels Location Optimization of Injection Molding Using Integration of Moldflow and Genetic Algorithm." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/97385889454689490701.
Full text大同大學
機械工程學系(所)
94
The cooling channels design for injection molding usually depends on the designer’s experiences or the process of trial-and-error. Even though the designer could find out the design fitting the requirements through several trials, it still cannot guarantee that the results are good enough specially for high precision component or complicated sharp product. In recently years, the computer-aided engineering (CAE) has been generally applied in product development for various fields. It contributes for enhancing design ability of complicated and high precision product. The purpose of this study is to find out the optimal arrangement of cooling channels of injection molding by integration of the genetic algorithms for optimization search and the Moldflow software for injection molding analysis. In order to verify the architecture and performance of optimization program using genetic algorithms (GA), several test functions are utilized to check the accuracy and execution efficiency of developed program. Then the developed GA program was integrated with Moldflow software in optimization of cooling channels location. From the results of two case studies, it was shown that the cooling channels design system implemented in this study could offer designer with different options in selection the arrangement of cooling channels for injection molding. The developed architecture can enhance the design efficiency of cooling channels, upgrade product quality, lower development cost and increase economic benefits.
Chiang, Ye-Shang, and 江也聖. "Water Channel Location Optimization of Injection Molding Using Glowworm Swarm Algorithm with Variable Step." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/36718306063903449367.
Full text大同大學
機械工程學系(所)
100
The cooling channel design for injection molding is important for quality control of product. But it is usually depends on the designer’s experiences or the process of trial-and-error to approach the design fitting the requirements of product through many trials. For high precision or complex product the designer may not find out the cooling channel layout fulfilling the design requirements In recently years, the computer-aided engineering (CAE) has been generally applied in product development for various fields. It contributes for enhancing design ability of complicated and high precision product. The purpose of this study is to find out the optimal arrangement of cooling channels of injection molding by integration of the glowworm swarm algorithm for optimization search and the Moldflow software for injection molding analysis. In order to verify the architecture and performance of optimization program using Glowworm Swarm Optimization (GSO), several test functions are utilized to check the accuracy and execution efficiency of developed program. Then the developed GSO program was integrated with Moldflow software in optimization of cooling channel locations. From the results of case study, it was shown that the cooling channel design system implemented in this study could offer designer with different options in selection the arrangement of cooling channels for injection molding. The developed architecture can enhance the efficiency of cooling channel design, upgrade product quality, lower development cost and increase economic benefits.
Tseng, Yi-Che, and 曾義哲. "Gate Location Optimization of Injection Molding Using Integration of Moldflow and Differential Evolution Algorithm." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/06882452848425457371.
Full text大同大學
機械工程學系(所)
100
Abstract The gate location for injection molding plays an important role for quality of plastic product. It often depends on the designer’s experiences using the process of trial-and-error for gate location design. Even through the designer could find out the design fitting the requirements through several trials, but it still cannot guarantee that the results are good enough specially for complicated shape or high precision product. In recently years, the computer-aided engineering (CAE) contributes for enhancing design ability for development of high precision and complicated products. The products manufactured using injection molding may create some defects such as warpage or welding line which was influenced to the quality of products. The main purpose of this study is using differential evolution algorithm as global searching tool for optimization of gate location. In order to verify the architecture and performance of optimization program using differential evolution algorithm, several test functions are utilized to check execution efficiency and the accuracy of developed program first. Then the developed DE program was integrated with moldflow software for searching the best gate location that minimizes the warpage with constraint of the arrangement of weld line. From the result of case study, it was shown that the integration of DE with moldflow implemented in this study could offer designer with different options in selection the best arrangement of gate locations of injection molding with constraints of weld lines prevention and warpage reduction. The developed architecture can enhance the performance of gate location design, improvement of product quality, reduction of development cost and enhancement of market competition.
Weber, Daniel Brent. "The use of capacitance-resistance models to optimize injection allocation and well location in water floods." 2009. http://hdl.handle.net/2152/6648.
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Vlček, Josef. "Automatické zpracování mikroseismických dat a jejich vztah k hydraulické injektáži." Doctoral thesis, 2021. http://www.nusl.cz/ntk/nusl-437903.
Full textBooks on the topic "Injection location"
Prinetto, Paolo, and Alfredo Benso. Fault Injection Techniques and Tools for Embedded Systems Reliability Evaluation. Springer London, Limited, 2006.
Find full textFault Injection Techniques and Tools for Embedded Systems Reliability Evaluation. Springer, 2010.
Find full textKahn, S. Lowell. Balloon-Assisted Thrombin Injection for Pseudoaneurysms with Wide or Short Neck Morphology. Edited by S. Lowell Kahn, Bulent Arslan, and Abdulrahman Masrani. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199986071.003.0021.
Full textFault Injection Techniques and Tools for Embedded Systems Reliability Evaluation (Frontiers in Electronic Testing). Springer, 2003.
Find full textShankar, Hariharan, and Karan Johar. Piriformis Muscle, Psoas Muscle, and Quadratus Lumborum Muscle Injections: Ultrasound. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199908004.003.0047.
Full textGrami, Vahid, Salim M. Hayek, and Samer N. Narouze. Lumbar Transforaminal and Nerve Root Injections: Fluoroscopy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199908004.003.0016.
Full textBolash, Robert B., and Kenneth B. Chapman. Piriformis Muscle Injections: Fluoroscopy. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199908004.003.0046.
Full textSteiner, Lisa A. Infections of the Hand. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199976805.003.0047.
Full textTorgerson,, Paul R., C. N. L. Macpherson, and D. A. Vuitton. Cystic echinococcosis. Oxford University Press, 2011. http://dx.doi.org/10.1093/med/9780198570028.003.0060.
Full textBook chapters on the topic "Injection location"
Rios, Ruben, Jorge Cuellar, and Javier Lopez. "Robust Probabilistic Fake Packet Injection for Receiver-Location Privacy in WSN." In Computer Security – ESORICS 2012, 163–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33167-1_10.
Full textLi, Xingyuan. "Fault Location for Small Current Grounding System Based on Injection Method." In 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems, 1149–53. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1726-3_143.
Full textHaddad, Header, S. H. Masood, and A. B. M. Saifullah. "Gate Location and its Effects on Product Quality in Injection Moulding." In Frontiers in Materials Science and Technology, 181–84. Stafa: Trans Tech Publications Ltd., 2008. http://dx.doi.org/10.4028/0-87849-475-8.181.
Full textTripathy, Srinibas, Sridhar Sahoo, and Dhananjay Kumar Srivastava. "Optimization of Injector Location on the Cylinder Head in a Direct Injection Spark Ignition Engine." In Proceedings of the 7th International Conference on Advances in Energy Research, 847–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5955-6_80.
Full textSong, Ling, Wei Ma, and Jin Ye. "Location Privacy Protection for Sink Node in WSN Based on K Anonymous False Packets Injection." In Applications and Techniques in Information Security, 67–78. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2907-4_6.
Full textFernandes, Célio, António J. Pontes, Júlio C. Viana, and António Gaspar-Cunha. "Multi-Objective Optimization of Gate Location and Processing Conditions in Injection Molding Using MOEAs: Experimental Assessment." In Lecture Notes in Computer Science, 373–87. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15892-1_25.
Full textMallikarjunaswamy, S., N. Sharmila, G. K. Siddesh, K. R. Nataraj, and M. Komala. "A Novel Architecture for Cluster Based False Data Injection Attack Detection and Location Identification in Smart Grid." In Lecture Notes in Mechanical Engineering, 599–611. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3497-0_48.
Full textPyeon, Cheol Ho. "Neutron Spectrum." In Accelerator-Driven System at Kyoto University Critical Assembly, 125–56. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0344-0_5.
Full textLi, Beibei, Qingyun Du, Jiarui Song, Aohan Li, and Xiaoxia Ma. "Locating False Data Injection Attacks on Smart Grids Using D-FACTS Devices." In Service-Oriented Computing, 287–301. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-91431-8_18.
Full textChashchin, N. S., A. P. Koval, and A. S. Gruzdev. "A Study of Vacuum Assisted Resin Injection for Molding Hard-To-Reach Locations in the Manufacture of Parts." In Lecture Notes in Mechanical Engineering, 311–17. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-85233-7_37.
Full textConference papers on the topic "Injection location"
Huie, Lauren M., and Mark L. Fowler. "Biasing emitter location estimates via false location injection." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967672.
Full textKorneev, Valeri, and Thomas Daley. "Microseismic location uncertainty during fluid injection." In SEG Technical Program Expanded Abstracts 2012. Society of Exploration Geophysicists, 2012. http://dx.doi.org/10.1190/segam2012-0848.1.
Full textLin, Baojiu, and Won Gil Ryim. "Gate Location Optimization in Injection Molding Processing." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1234.
Full textZhang, Luzeng, and Hee-Koo Moon. "Turbine Blade Film Cooling Study: The Effects of Film Hole Location on the Pressure Side." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-27546.
Full textSaid, Ahmed O., and Ashwani K. Gupta. "Role of Fuel Injection Scheme in a High Intensity Combustor." In ASME 2016 Power Conference collocated with the ASME 2016 10th International Conference on Energy Sustainability and the ASME 2016 14th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/power2016-59043.
Full textSeo, Jaho, Amir Khajepour, and Jan P. Huissoon. "Optimal Sensor Location to Estimate Temperature Distribution in an Injection Mould." In ASME 2011 International Manufacturing Science and Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/msec2011-50228.
Full textKabanemi, Kalonji K., Jean-François Hétu, and Abdessalem Derdouri. "Design Sensitivity Analysis Applied to Injection Molding Process: Injection Pressure and Multi-Gate Location Optimization." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1223.
Full textHuie, Lauren M., and Mark L. Fowler. "Emitter location in the presence of information injection." In 2010 44th Annual Conference on Information Sciences and Systems (CISS). IEEE, 2010. http://dx.doi.org/10.1109/ciss.2010.5464812.
Full textYusefzadeh, R., M. Sharifi, Y. Rafiei, and M. Ahmadi. "Dynamic Selection of Realizations for Injection Well Location Optimization." In EAGE 2020 Annual Conference & Exhibition Online. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202011103.
Full textJiang, Junjun, Jing Wu, Chengnian Long, and Shaoyuan Li. "Location of False Data Injection Attacks in Power System." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8866478.
Full textReports on the topic "Injection location"
Mao, Stan. Location of Maximum Credible Beam Losses in LCLS Injector. Office of Scientific and Technical Information (OSTI), December 2010. http://dx.doi.org/10.2172/1000392.
Full textLegg, R., D. Douglas, G. A. Krafft, and Q. Saulter. Location and correction of 60 hz in the CEBAF injector. Office of Scientific and Technical Information (OSTI), August 1996. http://dx.doi.org/10.2172/282084.
Full textReid, M. S., X. Wang, N. Utting, and C. Jiang. Comparison of water chemistry of hydraulic-fracturing flowback water from two geological locations at the Duvernay Formation, Alberta, Canada. Natural Resources Canada/CMSS/Information Management, 2021. http://dx.doi.org/10.4095/329276.
Full textKingston, A. W., A. Mort, C. Deblonde, and O H Ardakani. Hydrogen sulfide (H2S) distribution in the Triassic Montney Formation of the Western Canadian Sedimentary Basin. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/329797.
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