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Auswahl der wissenschaftlichen Literatur zum Thema „Tool for optimum retting“
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Zeitschriftenartikel zum Thema "Tool for optimum retting"
Hossain, Mohammad Munir, Shafiquzzaman Siddiquee und Vijay Kumar. „Critical Factors for Optimum Biodegradation of Bast Fiber’s Gums in Bacterial Retting“. Fibers 9, Nr. 8 (12.08.2021): 52. http://dx.doi.org/10.3390/fib9080052.
Der volle Inhalt der QuelleYu, Xiangyu, Yuyang Xia, Dong Liang, Wei Fu und Chenghai Yin. „Effect of Warm-Water Retting Pretreatment on the Physical Properties of Banana Stem and Its Fibre“. Materials 15, Nr. 23 (28.11.2022): 8462. http://dx.doi.org/10.3390/ma15238462.
Der volle Inhalt der QuelleYinghua, Tian, Liu Xiaolan, Zheng Xiqun und Wang Lu. „Production of efficient enzymes for flax retting by solid state fermentation with Aspergillus niger“. International Journal of Clothing Science and Technology 26, Nr. 3 (27.05.2014): 212–21. http://dx.doi.org/10.1108/ijcst-04-2013-0035.
Der volle Inhalt der QuelleZhao, Dan, Hairui Ji, Renpeng Du, Qi Wang, Wenxiang Ping und Jingping Ge. „Optimization of process conditions for microwave-assisted flax water retting by response surface methodology and evaluation of its fiber properties“. BioResources 15, Nr. 3 (15.06.2020): 5859–70. http://dx.doi.org/10.15376/biores.15.3.5859-5870.
Der volle Inhalt der QuelleEASSON, D. L., und K. COOPER. „A study of the use of the trimesium salt of glyphosate to desiccate and ret flax and linseed (Linum usitatissimum) and of its effects on the yield of straw, seed and fibre“. Journal of Agricultural Science 138, Nr. 1 (Februar 2002): 29–37. http://dx.doi.org/10.1017/s0021859601001629.
Der volle Inhalt der QuelleLow, Jaime Yoke-Sum, Po-Yee Fong, Chee-Keng Teh, Ai-Ling Ong, Chin-Ming Lim und David Ross Appleton. „Ethephon-Induced Abscission of Oil Palm Fruits at Optimal Bunch Ripeness and Retting Period to Improve Commercial Seed Production“. Horticulturae 7, Nr. 10 (09.10.2021): 380. http://dx.doi.org/10.3390/horticulturae7100380.
Der volle Inhalt der QuelleLiu, Jun, Masao Ukita, Hiroshi Nakanishi, Tsuyoshi Imai und Masayuki Fukagawa. „Estimation of optimum operating parameters of UASB reactor treating flax retting wastewater by kinectic model.“ Doboku Gakkai Ronbunshu, Nr. 521 (1995): 249–55. http://dx.doi.org/10.2208/jscej.1995.521_249.
Der volle Inhalt der QuelleKumari, Bindu, Lalita Rani, Nisha Arya, Sachin Kumari und Neeta Poonia. „The Analysis of Fibre Properties of Water Retted Sansevieria trifasciata with Sodium Hydroxide“. International Journal of Plant & Soil Science 35, Nr. 21 (09.11.2023): 1011–21. http://dx.doi.org/10.9734/ijpss/2023/v35i214072.
Der volle Inhalt der QuelleWhalley, R., M. Ebrahimi, A. Abdul-Ameer und S. El-Shalabi. „Optimum, machine tool axis traverse regulation“. International Journal of Machine Tools and Manufacture 46, Nr. 14 (November 2006): 1835–53. http://dx.doi.org/10.1016/j.ijmachtools.2005.11.011.
Der volle Inhalt der QuelleJoshy, M. K., Lovely Mathew und Rani Joseph. „Effect of Alkali treatment on the Mechanical Properties of Short Randomly Oriented Isora Fibre-Polyester Composites“. Progress in Rubber, Plastics and Recycling Technology 24, Nr. 4 (November 2008): 255–72. http://dx.doi.org/10.1177/147776060802400403.
Der volle Inhalt der QuelleDissertationen zum Thema "Tool for optimum retting"
Reda, Ali. „A multiscale mechanical study of flax stems and fibres for the development of an in-the-field tool capable of predicting optimum retting“. Electronic Thesis or Diss., Université de Lille (2022-....), 2023. http://www.theses.fr/2023ULILN055.
Der volle Inhalt der QuelleAgriculture 4.0, also known under several aliases such as ‘digital agriculture', ‘smart farming', and ‘e-farming' is currently developing rapidly in terms of research, development, and commercial applications. As with Agriculture 1.0, 2.0, and 3.0, the objective of Agriculture 4.0 is the use of technology to improve all areas of agriculture. In Agriculture 4.0 it is the application of microelectronics and microtechnologies. Unlike before, these technologies bring things such as the internet-of-things, big data, telecommunications, novel sensing, rapid feedback, data analysis, connectivity, artificial intelligence etc. In principle, all these areas should result in a massive modernization of farming in terms of organisation, yield, efficiency, and quality of produce. However, Agriculture 4.0 is so vast that if one is to contribute to it, even in a minor way, one has to choose a specific area to contribute. The area chosen for the study in this PhD was flax fibre production. Flax fibres are naturally strong fibres which can be extracted from flax stems. The flax stems have evolved to have robust micrometre-diameter fibres running the length of the outside of the stem, and held in place in the external tissue of the stem. Once extracted and isolated, flax fibres have numerous applications ranging from textiles to composite materials. In order to facilitate the mechanical extraction of flax fibres from their parent stems, the stems undergo a process known as ‘retting'. Retting leads to the breakdown of the external tissue between the fibres. A common form of retting is known as ‘dew retting'. In dew retting, natural processes such as bacteria and fungi result in enzymes which break down the middle lamella and gradually separate fibre bunches and fibres from bunches. The length of dew retting depends heavily on the weather. Too little retting results in difficult fibre extraction in the factory, too much retting can result in a compromise in fibre quality. It has long been known that there is an optimum retting point-even the ancients knew this. Certain skilled artisan farmers are able to judge this point via a combination of manual manipulation of the stems, observation of damage caused to the external tissue via this manoeuvre, and also observing the colour and the smell of the stems during this very skilled, but artisanal, testing. It is clear that the artisan is performing rudimentary laboratory tests quite literally ‘in-the-field'. It would seem logical therefore to try to quantify such tests and see if a reliable tool can be made to help the artisan. And indeed, this is exactly what others have attempted. The introduction of the PhD gives examples of attempts to make optimal-retting tools in the 1980s and after. Inspired by this early work, the work of this PhD attempts a full multiscale mechanical characterization of flax stems and fibres during a retting cycle (summer 2022) and, somewhat ambitiously, performed in real time-to our knowledge for the first time. The mechanical characterization involved macroscopic mechanical tests (bending, crushing, and twisting), as well as novel microscopic mechanical testing of single flax fibres using novel methods inspired by MEMS. In addition, the nanoscopic mechanical properties of the primary cell wall of retting flax fibres was characterised using nanoindentation AFM. As the experimental work, analysis via analytical modelling, and interpretation descends in scale from macro, through micro, to nano, we learn a little more of how the retting affects the stems, their properties, and their fibres. In addition to simply learning, a very positive outcome of the PhD is that one is able to suggest a mechanically-induced damage mechanism in stems which could be the basis for a tool. One can note however, that the uncontrollable multiparameter nature of the subject, e.g. the weather, means that several studies would be needed to confirm beyond doubt observations from a single retting cycle
Cheng, Liao Miao, und 廖茂成. „Optimum Tool-Path Planning for Flank Milling of Freeform Surfaces“. Thesis, 1999. http://ndltd.ncl.edu.tw/handle/80973302489830248938.
Der volle Inhalt der Quelle國立臺灣科技大學
機械工程系
87
In this thesis, the use of optimization algorithms to improve cutting efficiency in flank milling of freeform surfaces has been developed. The golden section method is applied to searching optimal tool paths. As a result, tool orientation with minimum surface profile error and without collision along the tool path can be determined. Finally, the tool path planning of an axial turbine blade is performed and verified by using this approach. It is shown that the finish machining time for the axial turbine blade can be greatly reduced through this approach. In other words, the techniques presented in this thesis can be used to improve 5-axis tool path generation in flank milling of freeform surfaces operations.
Huang, Hao-Yang, und 黃浩洋. „Optimum tool profile of power skiving of internal spur gears“. Thesis, 2019. http://ndltd.ncl.edu.tw/handle/28gz43.
Der volle Inhalt der Quelle國立中央大學
機械工程學系
107
This thesis aims to optimize the tooth profile error of the internal spur gear by power skiving with the planer created by gear grinding. Based on the principle of gears, the mathematical model of the tooth surface of the planer is established by the method of gear grinding. Then the mathematical model of the power skiving is derived, and the influence of the curve of different grinding wheels and the parameter compensation of the machine on the tooth profile error of the internal spur gear is discussed. The optimization part is divided into two parts. Firstly, the shape of the grinding wheel is changed to optimize the tooth profile error of the workpiece gear, and then the second optimization is performed based on the first optimization result. The second time optimization is mainly based on the power skiving workpiece compensation angle for optimization analysis. The optimization purpose is to improve the accuracy of the tooth profile error of the internal spur gear. After the optimization calculation, the optimal parameter setting can be obtained to determine the optimization. After the process, the author also writes the optimization program analysis, and performs the power skiving to create the tooth profile error analysis of the internal spur gear. The two sets of different tool and workpiece gear parameters are analyzed respectively, and finally two set of optimal grinding wheel profile curves and power skiving are obtained. The compensation angle parameters in the motion are compared and the correctness of the analysis results is verified.According to the accuracy standard of the gear and the variable factors in the derivation process,the optimal design of the tooth profile of the power skiving cutter is proposed based on the tooth profile error of the workpiece.
Hung, Yung-An, und 洪永安. „Study of optimum tool change time in v-groove roller turning“. Thesis, 2008. http://ndltd.ncl.edu.tw/handle/31705159525429913309.
Der volle Inhalt der Quelle國立臺灣大學
機械工程學研究所
96
Brightness Enhancement Film (BEF) is one of the most important components in the Back Light Unit. The v-groove configuration of BEF is duplicated from the roller by roll-to-roll process. In order to enhance the luminance of the light source, the microstructure of the v-groove has to maintain two requirements which are form error for μm and mirror surface. The roller is cut by the ultra-precision diamond turning tool. To meet the current requirements of manufacturing larger size of LCD (Liquid Crystal Display), the roller has to become longer and larger in size. Hence in consequence the cutting distance becomes much longer and accompany the problems of chipping and wear of cutting tools for the long time tooling, indeed, roller is no usable. Furthermore, the diamond tool doesn’t been discarded arbitrary because it is very expensive. At present there is no other way for most manufactures except by naked eyes to estimate whether it is the time to change the tool. Moreover estimating with human eyes cannot accurately decide the critical point of surface brightness and is also ineffectual for automatic manufacturing. Thus an optimum method to estimate the time to change tool is developed in this research by quantification of the brightness from work surface, setting an experimentally determined threshold value of 240, i.e., as the brightness value is under 240 the tool has to be changed. As far as the tool is changed the developed system would determine the diamond tool tip shrinkage for follow-up compensation by machine vision in order to match the position of the new tool tip after reinstallation with worn tool position before detachment. This process allows the roller to turn continuously and finish fabrication.
Huang, Chi-Tsun, und 黃啟村. „The Optimum Design of Tool Path and Dimensional Accuracy for the Plastic Injection Mold“. Thesis, 2005. http://ndltd.ncl.edu.tw/handle/70457600332779460095.
Der volle Inhalt der Quelle逢甲大學
材料與製造工程所
93
In cutting practice, the cutting time, work piece quality, cutting cost were the important parameters to upgrade the competition. How to obtain the optimum cutting time (path) and machining accuracy, in order to shorten the mold manufacturing time, is the same goal for industry. The objective of this research is to investigate how to decrease the CAM programming time and machining time, and to accomplish the demand of machining accuracy in the same time , when the cutting-use simulation software and actuality machining were applied to High Speed Machining of plastic injection mold manufacturing. There are four factors will be discussed in the following :(1) During end mill or bull nose type end mill machining, under the condition of no retained material ,the setting of tool displacement. (2) The selection of optimum shape contours tolerance. (3) For the U shape contour core with core depth to tool diameter ratio >5, to investigate the effects of the tool type (end mill tool and ball type mill tool) and the cutting direction (top and side direction) on the cutting time and accuracy. (4) For the mobile body with appearance consideration, to investigate the effects of cutting conditions include cutting feed and cutting path etc., on the burr quantity, cutting time, total cutting cost at the parting plane area. The experimental results show that:(1) Under the condition of no retained material, the optimum tool displacement equal to 70% of the tool diameter. (2) According to the work piece contour tolerance value, under the satisfication of request for cutting accuracy and cutting time, the optimum value equal to 0.01mm. (3) For the U shape contour core with a core depth to tool diameter ratio >5, under the conditions of side cutting direction and end mill tool, the cutting accuracy is the best . (4) For the parting plane region, under the conditions of 0.05mm cutting feed, single direction(from inside to outside) tool path, the burr is smallest within acceptable range.
Shen, Hung-Wen, und 沈鴻文. „Design of a Groove Cutting Tool and Its Optimum Manufacturing by Wire Electro DischargeMachining“. Thesis, 2011. http://ndltd.ncl.edu.tw/handle/87475104920880400994.
Der volle Inhalt der Quelle國立中興大學
機械工程學系所
99
ABSTRACT This work deals with design, manufacturing and quality control of a groove cutting tool which has a cutting surface much wider than normal cutting tools. In the first part of the work, a metal cutting theory was used to yield the best cutting width. For an aluminum alloy (6061) work piece and a high-speed steel tool material, as power of lathe is 3.75 kW, the best cutting width was found to be 19 mm. The result of an experiment also shows that the tool with a chip-breaker design performs better than that without it. In the second part of the work, wire electro-discharge machining (WEDM) was used to manufacture the tool. Taguchi method was used to plan the machine parameters. The target items were cutting speed and surface roughness respectively. Three controllable factors were peak current, wire speed and working voltage. The experiments were planned using 3 × 3 orthogonal arrays. Evaluation of factor response table, analysis of variance and experiments were performed. The result of the analysis shows that, for a tool thickness of 3.15 mm, the improvement of the cutting speed is 64.2%; while the improvement of the surface roughness is 7.83%. This improvement indicates, from an initial design changing to the best design, the improvement of the process on the target item. In addition, for the cutting speed, the signal to noises (S/N) ratio is 2.22%; for the surface roughness, the S/N ratio is 0.44%. An extra confirmation experiment was performed for the surface roughness. It shows that the S/N ratio is 3%. In summary, either at the maximum cutting speed or at the minimum surface roughness, the error between the predicted value and experimental value is less than 10%. This confirms that the analysis possesses a high accuracy.
Yang, Yi-Lun, und 楊益綸. „An Investigation on the Optimum Parameters using a Barrel Cutting Tool in Machining Curve Surface by a Five-axis Machine Tool“. Thesis, 2018. http://ndltd.ncl.edu.tw/handle/znyv3k.
Der volle Inhalt der Quelle國立屏東科技大學
機械工程系所
106
This study applied barrel milling cutters in machining curved surface of 6061-T6 aluminum and used the surface roughness as a quality characteristic. Taguchi method and a surface roughness prediction model were employed to identify the optimization parameters of barrel milling cutters. Production parameters selected in this study were cutting speed, feed per tooth, machining allowance, semiroughing stepover, and finishing stepover. Experiments were planned in combination with the L16 (45) orthogonal array. A surface roughness detector was used to measure the surface roughness. After the optimization parameter setting of surface roughness based on the-smaller-the-better (STB) quality characteristic was determined, verification experiments were conducted. In addition, the optimization production parameters of ball cutters under identical experimental conditions were determined and compared with the barrel milling cutters in terms of machining efficiency. The optimization parameters of the barrel milling cutters were 210 m/min for cutting speed, 0.09 mm for feed per tooth, 0.1 mm for machining allowance, 2.85 mm for semiroughing stepover, and 1.0 mm for finishing stepover, respectively. The resulting surface roughness Ra is 0.365 μm, marking 3.4% improvement compared with the most favorable surface roughness of 0.378 μm in the 16th experiment of the orthogonal array. Among the parameters, the cutting speed had the greatest influence on surface roughness. To remove an identical amount of materials with STB surface roughness, the barrel milling cutters and the ball cutters took 269 s and 524 s in machining, respectively. The machining efficiency of the barrel milling cutters was 50% higher than that of the ball cutters. The experimental results revealed that replacing ball cutters with barrel milling cutters can substantially reduce the machining time. The optimization parameters of barrel milling cutters determined in this study can serve as a reference for five-axis machining programmers in deciding relevant production parameters.
Shih, Huai-Hsuan, und 施懷絢. „Study the Optimum High Speed Milling Parameters of Heat-Treated Tool Steels Using Taguchi Method“. Thesis, 2010. http://ndltd.ncl.edu.tw/handle/02072472353127043900.
Der volle Inhalt der Quelle國立臺灣海洋大學
機械與機電工程學系
98
Application of high speed cutting to cut heat-treated tool steels has been extensively accepted by the tool industries. However, the associated cutting parameters are still limited. This main goal of this paper was to study the optimum parameters of high speed cutting for heat-treated SKD61 steels. Taguchi method was used as a tool in this study and the experiment factors included turning speed, feed rate and cutting depth. Each factor selected three standards, respectively, and planned a L9 perpendicular table. The standards for each factor were given as 100m/min(8000rpm), 200m/min(16000rpm) and 300m/min(24000rpm); 0.01mm/tooth, 0.02mm/tooth and 0.03mm/tooth; and 0.05mm, 0.1mm and 0.15mm. The quality was picked “looks at small” S/N ratio. In addition, surface roughness, tool life, cutting summit to inspire with the cutting temperature were considered. After 9 tests, the surface roughness, cutting tool life, cutting summit were analyzed by using ANOVA variance analysis to find significant factors. Using Taguchi method computed the optimum parameter combination, figured out experiment's forecast data, and compared with experimental results whether those were close to calculated values. Then, couple experiments using Taguchi method were done to find out the best tendency for each factor. This could enable to locate the optimum conditions reaching machining quality. Results revealed that the combination of cutting speed with 300m/min(24000rpm), feed rate with 0.1mm/tooth, and cutting depth with 0.1mm could reach the best cutting quality in high speed cutting.
FAN, RONG-TING, und 范榮庭. „Optimum computer-aided design and analysis of machine tool spindle using three-dimensional finite shaft element“. Thesis, 1992. http://ndltd.ncl.edu.tw/handle/26916983139603506166.
Der volle Inhalt der QuelleHsu, Yuan-Ming, und 許芫銘. „Study on optimum for cutting parameter of hard turning die steel with ceramic tool by using Taguchi method“. Thesis, 2007. http://ndltd.ncl.edu.tw/handle/dm7g59.
Der volle Inhalt der Quelle國立勤益科技大學
機械工程系
95
The properties of Ceramic tools have high hardness and brittleness, but the poor of toughness. It easily caused Ceramic tools broken while cutting the hardness materials. There is closely connection between the fractures of tool and cutting parameters. Therefore, it is demand to find out the best way between fracture of tool and cutting parameters and to setting out the best conditions of Ceramic tools is necessary. The purpose of this study is using Taguchi method to research the best cutting conditions of Ceramic tools. Using ceramic tool on SKD11 die steel (HRc60) for hard cutting experiment at this study. Adopt standards from cutting tool supplier. The main control factors including: cutting speed, feed rate and depth of depth. We found the best cutting conditions of ceramic tool can be provided to related industries who would like chose ceramic tool to cutting hardness materials. The results of this studying can be offered for reference. The experiment in this article can be divided into two parts. First part of details: according to flank wear and surface roughness to acted as response values for quality parameters. It aims to find out the best combination for cutting parameters with both minimum flank wear and optimal surface roughness. The second part of details: according to tool life to acted as response values for quality parameters. It aims to find out the best combination of condition for cutting parameters with tool life. According to the results of Taguchi method after analyzed, we found the cutting speed is the main factor to effected flank wear and tool life. Besides, the workpiece of surface roughness would be influenced by feed rate.
Bücher zum Thema "Tool for optimum retting"
Arthurson, Kathy. Social Mix and the City. CSIRO Publishing, 2012. http://dx.doi.org/10.1071/9780643104440.
Der volle Inhalt der QuelleGajewski, Zbigniew. Prognozowanie wystąpień faz fenologicznych pierwiosnki omączonej Primula farinosa L. (Primulaceae) – krytycznie zagrożonego gatunku - w odniesieniu do fenologii innych składników lokalnej flory i panujących warunków termicznych. Publishing House of the University of Agriculture in Krakow, 2018. http://dx.doi.org/10.15576/978-83-66602-32-8.
Der volle Inhalt der QuelleBuchteile zum Thema "Tool for optimum retting"
Tóth, Zoltán, und Gabriella Kókai. „An Evolutionary Optimum Searching Tool“. In Engineering of Intelligent Systems, 19–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45517-5_3.
Der volle Inhalt der QuelleKumar, Yogendra, und Harpreet Singh. „Optimum Design of Magnetic Field Assisted Finishing Tool: A Finite Element Study“. In Lecture Notes in Mechanical Engineering, 245–50. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8025-3_24.
Der volle Inhalt der QuelleSaulescu, N. N., G. Ittu und P. Mustatea. „Dark Induced Senescence as a Tool in Breeding Wheat for Optimum Senescence Pattern“. In Wheat in a Global Environment, 451–56. Dordrecht: Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-3674-9_59.
Der volle Inhalt der QuellePeters, P. W. M., A. Lystrup und S. I. Andersen. „A Novel Tool to Determine the Optimum Fabrication Parameters of Thermoplastic CFRP Laminates“. In Developments in the Science and Technology of Composite Materials, 119–27. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0787-4_14.
Der volle Inhalt der QuelleRedonnet, J. M., G. Dessein, W. Rubio und P. Lagarrigue. „Side Milling of Ruled Surfaces — Optimum Tool Radius Determination and Milling Cutter Positioning“. In Integrated Design and Manufacturing in Mechanical Engineering ’98, 439–46. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-015-9198-0_54.
Der volle Inhalt der QuelleKornau, Jasmin, und Henning Albers. „Modeling Waste Characteristics and WtE Plants as a Tool for Optimum Operation Conditions“. In Waste to Energy, 83–105. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2306-4_4.
Der volle Inhalt der QuelleChand, Arun, H. Mannikandan und A. B. Bhasi. „Selecting the Optimum Tool for Driving Performance Evaluation by Assessing the Ergonomic Methods—An Overview“. In Applications of Computation in Mechanical Engineering, 227–37. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-6032-1_18.
Der volle Inhalt der QuelleLinh, Nguyen Hong, Tran Huu Danh, Bui Thanh Danh, Tran Minh Tam, Nguyen Anh Tuan, Trinh Kieu Tuan, Nguyen Manh Cuong und Nguyen Thi Thanh Nga. „Calculating Optimum Input Factors for Maximum Material Removal Rate in Wire-EDM SKD11 Tool Steel“. In Advances in Engineering Research and Application, 305–13. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-22200-9_33.
Der volle Inhalt der QuelleKumar, Amrit, Mukul Kumar und Kumar Padmanabh. „A Tool to Determine Strategic Location and Ranges of Nodes for Optimum Deployment of Wireless Sensor Network“. In Distributed Computing and Internet Technology, 91–97. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11659-9_8.
Der volle Inhalt der QuelleKene, Amarjit P., Amitkumar A. Shinde, Pravin A. Dhawale, Ranjitsinha R. Gidde, Sandeep S. Wangikar und Kuldip S. Pukale. „Prediction of Optimum Tool Life and Cutting Parameters by Comparative Study of Minimum Cost Criterion and Maximum Production Rate Criterion“. In Techno-societal 2022, 475–87. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-34644-6_49.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Tool for optimum retting"
Khashman, A., und K. Dimililer. „Comparison Criteria for Optimum Image Compression“. In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1630100.
Der volle Inhalt der QuelleJayasundara, J. W. K. K., und Rohan Munasinghe. „Software design tool for optimum Axial Flux BLDC motors“. In 2009 International Conference on Industrial and Information Systems (ICIIS). IEEE, 2009. http://dx.doi.org/10.1109/iciinfs.2009.5429806.
Der volle Inhalt der QuelleSen, Mehmet, Jason Fiering, Gregory J. Kowalski und Dale Larson. „Optimum sensor placement in microchannel reactors: design tool applications“. In SPIE MOEMS-MEMS, herausgegeben von Holger Becker und Bonnie L. Gray. SPIE, 2011. http://dx.doi.org/10.1117/12.876463.
Der volle Inhalt der QuelleTrabant, Peter K. „Single Fold 3D Seismic: Optimum Tool for Deepwater Geohazards“. In Offshore Technology Conference. Offshore Technology Conference, 1997. http://dx.doi.org/10.4043/8307-ms.
Der volle Inhalt der QuelleKhashman, Adnan, und Kamil Dimililer. „Neural Networks Arbitration for Optimum DCT Image Compression“. In EUROCON 2007 - The International Conference on "Computer as a Tool". IEEE, 2007. http://dx.doi.org/10.1109/eurcon.2007.4400236.
Der volle Inhalt der QuelleTeagle-Hernandez, Allen, Fumihiko Ide, Takehisa Matsuda und Shota Ichikawa. „PDT Application: Systematic Decision Tool for Seeking Optimum NV Performance“. In WCX SAE World Congress Experience. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2019. http://dx.doi.org/10.4271/2019-01-0820.
Der volle Inhalt der QuelleAlRashidi, AlAnoud, Aminah AlAnsari und Alan Radcliffe. „Shrouded Y-Tool Application for Optimum ESP System Run Life“. In International Petroleum Technology Conference. International Petroleum Technology Conference, 2020. http://dx.doi.org/10.2523/iptc-20137-abstract.
Der volle Inhalt der QuelleBhaskoro, Petrus Tri, Astriyana Anuar, Amira A. Rasib, Lars Wollebaek, Farnaz Rezvany-Hesary, Henrik Lutro, Johan Henriksson, Mior Zaiga Sariman, Siti Rohaida M. Shafian und Carlos Francisco Torres. „Online Flow Assurance Tool for Optimum Wax Management at Field“. In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210281-ms.
Der volle Inhalt der QuelleVaziri, A. H., und D. Asemani. „Optimum design of microwave oscillator using Hopfield Neural Network“. In IEEE EUROCON 2011 - International Conference on Computer as a Tool. IEEE, 2011. http://dx.doi.org/10.1109/eurocon.2011.5929290.
Der volle Inhalt der QuelleAmer, H. H., M. S. Moustafa und R. M. Daoud. „Optimum Machine Performance in Fault-Tolerant Networked Control Systems“. In EUROCON 2005 - The International Conference on "Computer as a Tool". IEEE, 2005. http://dx.doi.org/10.1109/eurcon.2005.1629932.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Tool for optimum retting"
VanKuiken, J. C., M. J. Jusko und M. E. Samsa. OPTUM : Optimum Portfolio Tool for Utility Maximization documentation and user's guide. Office of Scientific and Technical Information (OSTI), September 2008. http://dx.doi.org/10.2172/943428.
Der volle Inhalt der QuelleWenren, Yonghu, Joon Lim, Luke Allen, Robert Haehnel und Ian Dettwiler. Helicopter rotor blade planform optimization using parametric design and multi-objective genetic algorithm. Engineer Research and Development Center (U.S.), Dezember 2022. http://dx.doi.org/10.21079/11681/46261.
Der volle Inhalt der QuelleMizrach, Amos, Sydney L. Spahr, Ephraim Maltz, Michael R. Murphy, Zeev Schmilovitch, Jan E. Novakofski, Uri M. Peiper et al. Ultrasonic Body Condition Measurements for Computerized Dairy Management Systems. United States Department of Agriculture, 1993. http://dx.doi.org/10.32747/1993.7568109.bard.
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