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Relevant bibliographies by topics / Cutting condition

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Academic literature on the topic 'Cutting condition'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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Journal articles on the topic "Cutting condition"

1

Karunasawat, Keerati, and Somkiat Tangjitsitcharoen. "Surface Roughness Prediction in Ball-End Milling Process for Aluminum by Using Air Blow Cutting." Advanced Materials Research 418-420 (December 2011): 1428–34. http://dx.doi.org/10.4028/www.scientific.net/amr.418-420.1428.

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The objective of this research is to develop the surface roughness and cutting force models by using the air blow cutting of the aluminum in the ball-end milling process. The air blow cutting proposed in order to reduce the use of the cutting fluid. The surface roughness and cuttting force models are proposed in the exponential forms which consist of the cutting speed, the feed rate, the depth of cut, the tool diameter, and the air blow pressure. The coefficients of the surface roughness and cutting force models are calculated by utilizing the multiple regression with the least squared method

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Bong, Ha Yoon, and Moon Ki Kim. "Optimal Cutting Condition of Rough Cutting Using Trochoidal Motion." Journal of The Korean Society of Manufacturing Technology Engineers 26, no. 1 (2017): 13–19. http://dx.doi.org/10.7735/ksmte.2017.26.1.13.

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BAHAR, M., and H. GOLNABI. "OPTIMUM EXPERIMENTAL CONDITION IN OXYGEN GAS-ASSISTED LOW POWER Nd:YAG LASER CUTTING." Modern Physics Letters B 23, no. 06 (2009): 877–90. http://dx.doi.org/10.1142/s0217984909019016.

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The optimum condition for the reactive gas-assisted Nd:YAG laser cuttings is described in this article. The cut kerf width is investigated for a laser power range of 50–170 W and a gas pressure of 1–6 bar for steel and mild steel materials. Variation of sample thickness, material type, gas pressure and the laser power on the cut width and slot quality are considered in this study. An overall 338 experiments at different experimental conditions are performed and the kerf results are compared. Optimum conditions for the steel and mild steel materials with a thickness range of 1–2 mm are obtained

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Singh, DK, HO Gupta, L. Kumar, and SL Sharma. "Studies on effect of cutting and intra row spacing on leaf and seed yield of fenugreek (Trigonella foenum-graecum L.)." Journal of Agriculture and Ecology 12, no. 2 (2021): 74–79. http://dx.doi.org/10.53911/jae.2021.12206.

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Fenugreek is an annual herb having light green leaves, 30-60cm tall and produces slender, beaked pods, 10-15 cm long and each pod contains 10-15 cm long and each pod contain 10-20 small hard yellowish brown seeds, which are smooth and oblong, about 3mm long, each grooved across one corner, giving them a hooked appearance. A field experiment was conducted and treatments imposed with two factors i.e., three cuttings level (C) (C0: No cutting, C1: One cutting and C2: Two cuttings) and four intra row spacing level (S) (S1:30 x 5.0cm, S2: 30 x7.5cm, S3:30 x 12.5 cm). Result revealed that closer spa

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Koo, Joon Young, Pyeong Ho Kim, Moon Ho Cho, Hyuk Kim, Jeong Kyu Oh, and Jeong Suk Kim. "Machining Evaluation of High-Speed Milling for Thin-Wall Machining of Al7075-T651." Applied Mechanics and Materials 541-542 (March 2014): 785–91. http://dx.doi.org/10.4028/www.scientific.net/amm.541-542.785.

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This paper presents finite element method (FEM) and experimental analysis on high-speed milling for thin-wall machining of Al7075-T651. Changes in cutting forces, temperature, and chip morphology according to cutting conditions are analyzed using FEM. Results of machining experiments are analyzed in terms of cutting forces and surface integrity such as surface roughness and surface condition. Variables of cutting conditions are feed per tooth, spindle speed, and axial depth of cut. Cutting conditions to improve surface integrity were investigated by analysis on cutting forces and surface rough

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Ahmad, Ahsana Aqilah, Jaharah A. Ghani, and Che Hassan Che Haron. "The Influence of Cutting Parameter under Sustainable Machining Approaches on Surface Roughness of AISI 4340." Journal of Mechanical Engineering SI 12, no. 1 (2023): 63–80. http://dx.doi.org/10.24191/jmeche.v12i1.24638.

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This study presents the result of surface roughness (SR) during milling AISI 4340 under sustainable machining techniques of minimum quantity lubrication (MQL) and cryogenic using liquid nitrogen (LN2). Along with MQL, Treated Recycled Cooking Oil (TRCO) using waste Palm Oil is used to promote a greener cutting condition. Taguchi L9 orthogonal array and ANOVA are used to investigate the effect of cutting parameters (cutting speed, feed rate, depth of cut and width of cut) on the measured output value. Statically, in both conditions results show that cutting speed and feed rate are the parameter

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Gomes de Mattos de Mesquita, Noemia, José Eduardo Ferreira de Oliveira, and Arimatea Quaresma Ferraz. "Life Prediction of Cutting Tool by the Workpiece Cutting Condition." Advanced Materials Research 223 (April 2011): 554–63. http://dx.doi.org/10.4028/www.scientific.net/amr.223.554.

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Stops to exchange cutting tool, to set up again the tool in a turning operation with CNC or to measure the workpiece dimensions have direct influence on production. The premature removal of the cutting tool results in high cost of machining, since the parcel relating to the cost of the cutting tool increases. On the other hand the late exchange of cutting tool also increases the cost of production because getting parts out of the preset tolerances may require rework for its use, when it does not cause bigger problems such as breaking of cutting tools or the loss of the part. Therefore, the rig

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SATAKE, Kentaro, Hiromasa YAMAMOTO, Hiroyuki SASAHARA, Masaomi TSUTSUMI, Toru NARITA, and Toshiyuki MURAKI. "3275 Cutting Point Temperature and Its Effect on Tool Wears on Rotary Cutting under MQL Condition." Proceedings of International Conference on Leading Edge Manufacturing in 21st century : LEM21 2011.6 (2011): _3275–1_—_3275–4_. http://dx.doi.org/10.1299/jsmelem.2011.6._3275-1_.

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Tangjitsitcharoen, Somkiat, and Suthas Ratanakuakangwan. "Monitoring of Cutting Conditions with Dry Cutting on CNC Turning Machine." Key Engineering Materials 443 (June 2010): 382–87. http://dx.doi.org/10.4028/www.scientific.net/kem.443.382.

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This paper presents the additional work of the previous research in order to verify the previously obtained cutting condition by using the different cutting tool geometries. The effects of the cutting conditions with the dry cutting are monitored to obtain the proper cutting condition for the plain carbon steel with the coated carbide tool based on the consideration of the surface roughness and the tool life. The dynamometer is employed and installed on the turret of CNC turning machine to measure the in-process cutting forces. The in-process cutting forces are used to analyze the cutting temp

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Zhu, Jianping, Xinna Liu, Hui Peng, Wei Liu, and Zhiyong Li. "Exploration of Cutting Processing Mode of Low-Rigidity Parts for Intelligent Manufacturing." Micromachines 16, no. 6 (2025): 624. https://doi.org/10.3390/mi16060624.

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With the development of intelligent manufacturing technology, the manufacturing industry is gradually realizing intelligent production. Especially for metal cutting with extremely complex processes, it is of great significance to realize intelligence. Taking the cutting process of aero-engine typical low-rigidity parts as the main line, this article builds an intelligent processing architecture based on a big data platform, which includes customized design of cutting tools, intelligent optimization of cutting parameters, simulation of cutting conditions, and online monitoring and control of cu

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Dissertations / Theses on the topic "Cutting condition"

1

Aitchison, David Robert. "Laser based cutting tool condition monitoring." Thesis, University of Hull, 1995. http://hydra.hull.ac.uk/resources/hull:3693.

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Zheng, Kougen. "Application of the Wigner distribution to monitoring cutting tool condition." Thesis, University of Warwick, 1992. http://wrap.warwick.ac.uk/56557/.

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This thesis is about the application of the Wigner distribution to cutting tool monitoring and control. After reviewing traditional methods, a new method is proposed. This is to regard the surface texture and geometric error of form of a machined workpiece as the fingerprint of a cutting process, to analyse it, and to extract cutting tool vibration information from it, which can then be used for cutting tool monitoring. In order to analyse the surface texture effectively, three analysing tools, i.e. the Fourier transform, the ambiguity function, the Wigner distribution (WD), are examined and c

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Fu, Pan. "An intelligent cutting tool condition monitoring system for milling operation." Thesis, Southampton Solent University, 2000. http://ssudl.solent.ac.uk/1237/.

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A very important requirement of modern machining systems in an 'unmanned' factory is to change tools that have been subjected to wear or damage in time. The old tool change strategies are based on conservative estimates from the past tool wear data, hence tools can be replaced too early or too late. This can increase the production cost or endanger the quality of the products. An integrated tool condition monitoring system composed of multi-sensors, signal processing methodology and decision-making plans is a crucial requirement for automtic manufacturing processes. An intelligent tool conditi

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Silva, R. G. "Cutting tool condition monitoring of the turning process using artificial intelligence." Thesis, University of South Wales, 1997. https://pure.southwales.ac.uk/en/studentthesis/cutting-tool-condition-monitoring-of-the-turning-process-using-artificial-intelligence(25bc91ec-44fd-435b-a55d-06c564f88f35).html.

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This thesis relates to the application of Artificial Intelligence to tool wear monitoring. The main objective is to develop an intelligent condition monitoring system able to detect when a cutting tool is worn out. To accomplish this objective it is proposed to use a combined Expert System and Neural Network able to process data coming from external sensors and combine this with information from the knowledge base and thereafter estimate the wear state of the tool. The novelty of this work is mainly associatedw ith the configurationo f the proposeds ystem. With the combination of sensor-baseid

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Dimla, Dimla E. "Multivariate tool condition monitoring in a metal cutting operation using neural networks." Thesis, University of Wolverhampton, 1998. http://hdl.handle.net/2436/96291.

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Wilcox, Steven John. "Cutting tool condition monitoring using multiple sensors and artificialintelligence techniques on a computer numerical controlled milling machine." Thesis, Heriot-Watt University, 1992. http://hdl.handle.net/10399/1446.

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This work documents an investigation of the degradation of a variety of different tools whilst conducting milling operations on a computer numerical controlled (CNC) milling machine. The potential of a range of sensors to detect tool degradation has been investigated and the outputs have been incorporated into a monitoring system. Progressive degradation under nominal rough and finish face milling and rough groove milling has been investigated using a two point grooving tool and four and eight point face milling tools on En8, En24 and En24T workpiece materials. Rapid degradation of the cutting

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Chen, Xun. "A multi-physics-based approach to design of the smart cutting tool and its implementation and application perspectives." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/12841.

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This thesis presents a multi-physics-based approach to the design and analysis of smart cutting tools for emerging industrial requirements, within an innovative design process. The design process is in stages according to design specifications and requires analysis, conceptual design, detailed design, prototype production and service testing. The research presented in the thesis follows the design process but focuses on the detailed design of the smart turning tool, including mechanical design, electrical wiring and sensor circuitry, embedded algorithms development, and multi-physics-based sim

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Iguchi, Junta. "The effect of sex and fatigue on lower limb kinematics, kinetics and muscle activity during unanticipated side-step cutting." 京都大学 (Kyoto University), 2013. http://hdl.handle.net/2433/180626.

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Wilmot, Wessley. "Process and machine improvements and process condition monitoring for a deep-hole internal milling machine." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/process-and-machine-improvements-and-process-condition-monitoring-for-a-deephole-internal-milling-machine(2bb87f60-aa39-4fff-a82a-9360ce36b74c).html.

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Milling is a widely used cutting process, most commonly applied to machining external surfaces of workpieces. When machining operations are required within hard to reach areas of components, or deep within the bore of components, alternative methods of metal removal are generally employed. Typically when milling at extended reaches, difficulties may increase exponentially when trying to achieve distances several meters into a component. Essentially every topic of the milling process becomes difficult and more convoluted. Firstly to generate a stable cutting condition, and ultimately for an ope

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Bukovský, Petr. "Obrábění rotačních součástí z kalených ocelí se zaměřením na stav povrchu." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232047.

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The thesis deals with machining of rotating parts made from hardened steel. The introductory chapter describes the problems of turning and grinding. The next chapter deals with heat treatment and machined materials. The next lists the used cutting materials. Criteria for evaluating the quality of the surface. A selection of cutting materials for the machining of hardened steels from selected manufacturers. The final chapter is a comparison of the described technologies.

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Books on the topic "Cutting condition"

1

Zheng, Kougen. Application of the Wigner distribution to monitoring cutting tool condition. typescript, 1992.

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Dimla, Dimla E. Snr. Multivariate tool condition monitoring in a metal cutting operation using neural networks. University of Wolverhampton, 1998.

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3

Chang, Hsien-Min. Optimum tools and cutting conditions in milling. UMIST, 1997.

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4

Perry, J. G. Infrastructure cuttings: Condition appraisal and remedial treatment. Ciria, 2003.

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5

Jourdain, Stephen. Radical awakening: Cutting through the conditioned mind. InnerDirections Pub., 2001.

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6

Silva, Marcio Bacci Da. Lubrication in metal cutting under built-up edge conditions. typescript, 1998.

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7

Oliver, Steeds, ABC News Productions, and Films for the Humanities & Sciences (Firm), eds. Cutting the chains. Films for the Humanities & Sciences, 2006.

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8

England), Hackney (London, ed. Inside the inner city: Life under the cutting edge. Penguin, 1985.

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9

Edalew, Khalifa Omar Shaban. An expert system for automatic selection of optimum cutting conditions and tools for different material properties. De Montfort University, 2000.

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10

W, Shepherd George, and University of Denver. Consortium on Human Rights Development., eds. Effective sanctions on South Africa: The cutting edge of economic intervention. Greenwood Press, 1991.

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Book chapters on the topic "Cutting condition"

1

Jemielniak, Krzysztof. "Tool Condition Monitoring in Metal Cutting." In Studies in Systems, Decision and Control. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03201-2_4.

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Wachla, Dominik. "A Mathematical Model of a Longwall Shearer Cutting System with Selected Faults." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62042-8_21.

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Bentaleb, Fayçal, and Idriss Amara. "Modeling of Cutting Forces and Roughness by the Response Surface Method (RSM)." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7_17.

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Hammadi, Larbi, Nasr-Eddine Boudjenane, and Mansour Belhadri. "Temperature Effect on Shear Flow and Time Dependant Modelling of Cutting Oil Emulsion." In Applied Condition Monitoring. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14532-7_4.

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Ostafiev, V., and D. Ostafiev. "Optimum Cutting Condition Determination for Precision Turning." In Advanced Manufacturing Systems and Technology. Springer Vienna, 1996. http://dx.doi.org/10.1007/978-3-7091-2678-3_23.

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Moore, T. N., and Z. F. Reif. "The determination of cutting tool condition using vibration signals." In Condition Monitoring and Diagnostic Engineering Management. Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0431-6_12.

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SAKAMOTO, Junichi, Toshiki HIROGAKI, Eiichi AOYAMA, Keiji OGAWA, and Hiroyuki KODAMA. "Cutting Condition Decision Support System Using Data Mining-Application of Life Cycle Assessment on Estimation of Cutting Conditions-." In Design for Innovative Value Towards a Sustainable Society. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3010-6_123.

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Antosz, Katarzyna, Edward Kozłowski, Jarosław Sęp, and Sławomir Prucnal. "Neural Network Predictive Model in Cutting Tool Condition Detection." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-61575-7_2.

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Gindy, N., and A. Al-Habaibeh. "Condition Monitoring of Cutting Tools Using Artificial Neural Networks." In Proceedings of the Thirty-Second International Matador Conference. Macmillan Education UK, 1997. http://dx.doi.org/10.1007/978-1-349-14620-8_47.

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Kitay, Ozhan, Emre Tascioglu, and Yusuf Kaynak. "Effect of Sustainable Hybrid Coolant Strategy on Machinability and Energy Consumption of NiTiHf High Temperature Shape Memory Alloy." In Lecture Notes in Mechanical Engineering. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93891-7_46.

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Abstract Features of NiTiHf high temperature shape memory (SMA) alloy such as low thermal conductivity, high work-hardening tendency and superelasticity make machining operations difficult and cause high tool wear and high cutting forces. As industries move towards sustainability, it is vital to ensure the machining performance standards and energy efficiency of difficult-to-cut materials. Therefore, this study focuses on the energy consumption and in-depth analysis of machinability of NiTiHf alloy. The effects of minimum quantity lubrication (MQL) cooling and combination of both MQL + CO2 coo

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Conference papers on the topic "Cutting condition"

1

Hong, Sung-Jei. "Near IR Cutting Properties of Transparent Electrodes by Using ITO-NPs." In 2024 10th International Conference on Condition Monitoring and Diagnosis (CMD). IEEE, 2024. https://doi.org/10.23919/cmd62064.2024.10766264.

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Radhakrishnan, C., Sonal Malhotra, P. Preethi, R. Subashini, T. Saravanan, and R. Asokan. "The Vibration Spectrograms as well as EL System for Assessing the Cutting Tool and Insert Condition." In 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2024. http://dx.doi.org/10.1109/icacite60783.2024.10617234.

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Osawa, Naoki, Akira Furujo, Masayuki Nagahori, Toshitake Onishi, Hiroyuki Yajima, and Takeshi Miyamoto. "Development of Edge-Preparing Plasma Arc Cutting (EPPAC) System." In CORROSION 2011. NACE International, 2011. https://doi.org/10.5006/c2011-11422.

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Abstract Edge-Preparing Plasma Arc Cutting (EPPAC) systems have been developed. Top edges of kerfs generated by these systems have bevel angle of θ &gt;155°, which is equal to or larger than that of 3-pass grinding edges. Cutting qualities except for melting of cut shoulder equivalent to or better than those of kerfs generated by conventional machines, and there is no slowdown on the cutting speed. The developed systems are tested under the practical condition in Japanese shipyards, and it has been demonstrated that there is no special problem in workplace safety, and kerfs which satisfy t

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Isobe, Hiromi, Masataka Okuda, Keisuke Hara, Akira Sakurada, and Jun Ishimatsu. "Visualization of Dynamically Changing Cutting Force Under Ultrasonic Cutting Condition." In JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/lemp2020-8606.

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Abstract The aim of this study is to investigate the dynamic phenomenon of ultrasonic vibration-assisted cutting condition by utilizing visualization system of stress distribution. The vibrating cutting edge is considered to be cause of dynamic change of cutting force at ultrasonic frequency. However, many researchers have explained the effect of ultrasonic vibration-assisted cutting by evaluating the time-averaged cutting force, because the dynamometers have insufficient frequency characteristics to measure the dynamically changing cutting force in ultrasonic frequency. In this study, the ins

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Yamada, Yuki, Yasuhiro Kakinuma, Takamichi Ito, Jun Fujita, and Hirohiko Matsuzaki. "Sensorless Monitoring of Cutting Force Variation With Fractured Tool Under Heavy Cutting Condition." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8820.

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Cutting force is widely regarded as being the one of the most valuable information for tool condition monitoring. Considering sustainability, sensorless cutting force monitoring technique using inner information of machine tool attracts attention. Cutting force estimation based on motor current is one of the example, and it is applicable to detection of tool breakage with some signal processing technique. However, current signal could not capture fast variation of cutting force. By improving monitoring performance of cutting force, the hidden tool condition information is more accessible. In t

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Yılmaz, Gökan, and Murat Reis. "Machine Condition Monitoring Device for Laser Cutting Machines." In 2024 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA). IEEE, 2024. http://dx.doi.org/10.1109/hora61326.2024.10550509.

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Yang, Hao, Katsuhiko Sakai, Hiroo Shizuka, Kunio Hayakawa, and Tetsuo Nagare. "Effect of Cutting Temperature on Phase Transformation in Cutting of NiTi Alloy." In JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/lemp2020-8566.

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Abstract In this study, the effect of cutting temperature on phase transformation in cutting of room temperature austenitic NiTi alloy was investigated by X-ray diffraction (XRD) and temperature measurements. Results from XRD reveals that after cutting process, the phase state of work material near the machined surface transformed from austenite to martensite at relatively low cutting speed conditions while the phase state of work material did not undergo any form of transformation at the highest cutting speed condition. Temperature measurement results measured with temperature indicating pain

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Fu, Pan, and A. Hope. "Fuzzy Neural Hybrid System for Cutting Tool Condition Monitoring." In 2006 International Conference on Machine Learning and Cybernetics. IEEE, 2006. http://dx.doi.org/10.1109/icmlc.2006.258359.

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Varghese, Alwin, Vinay Kulkarni, and Suhas S. Joshi. "Effect of Tool Condition on Cutting Mechanism in Micromilling." In ASME 2019 14th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/msec2019-3031.

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Abstract Cutting mechanism in micromilling is governed by the tool condition along with the machining parameters and workpiece material properties. A rapid tool wear in micromilling often deteriorates the surface quality, which could be due to the occurrence of plowing. The effects of tool condition on the transition in cutting mechanisms from shearing to plowing have not been adequately addressed in micro milling. In this work, we attempt to correlate cutting mechanism with tool conditions, so that their influence on force and surface profiles are investigated. Micro milling experiments are p

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Wang, Shaohong, Tao Chen, and Xiaoli Xu. "Echo state network prediction method and its application in flue gas turbine condition prediction." In Fourth International Seminar on Modern Cutting and Measuring Engineering, edited by Jiezhi Xin, Lianqing Zhu, and Zhongyu Wang. SPIE, 2010. http://dx.doi.org/10.1117/12.887330.

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Reports on the topic "Cutting condition"

1

Hester, Mark W., Gary P. Shaffer, Jonathan M. Willis, and Dennis J. DesRoches. Restored Drill Cuttings for Wetlands Creation: Results of Mesocosm Approach to Emulate Field Conditions Under Varying Salinity and Hydrologic Conditions. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/795077.

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Hester, Mark W., Gary P. Shaffer, Willis Jonathan M., and Dennis J. DesRoches. Restored Drill Cuttings for Wetlands Creation: Results of Mesocosm Approach to Emulate Field Conditions Under Varying Salinity and Hydrologic Conditions. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/774790.

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Brovkina, Tatyana Yakovlevna, and Tatyana Viktorovna Fomenko. Decorative value and features of rooting cuttings of royal pelargonium in the conditions of the south of Russia. DOI CODE, 2023. http://dx.doi.org/10.18411/doicode-2023.206.

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Shaffer, G. P., M. W. Hester, S. Miller, et al. Restored drill cuttings for wetlands creation: Results of a two year mesocosm approach to emulate field conditions under varying hydrologic regimes. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/296878.

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Shaffer, Gary P., Hester Mark W., Michael C. Greene, and Childers Gary W. Restored Drill Cuttings for Wetlands Creation: Year One Results of a Mesocosm Approach to Emulate Field Conditions Under Varying Hydrologic Regimes. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/774789.

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Butler, Afrachanna, Catherine Thomas, Nathan Beane, Anthony Bednar, and William Frederick. Phytomanagement of soil and groundwater at the Niagara Falls Storage Site (NFSS) using hybridized trees. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42083.

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The Manhattan Engineer District previously used the 191-acre Niagara Falls Storage Site (NFSS) in Niagara County, New York, to store radioactive residues and wastes from uranium (U) ore processing. At present, management practices will determine whether enhanced evapotranspiration rates produced by hybridized shrub willow cuttings planted in 2016 will affect groundwater hydrology. Two shrub willow varieties were planted in an approximately one-half acre area to examine growth performance along a U impacted sanitary sewer line. Additionally, control plots will compare the effectiveness of shrub

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Løvschal, Mette, Havananda Ombashi, Marianne Høyem Andreasen, et al. The Protected Burial Mound ‘Store Vejlhøj’, Vinderup, Denmark: First Results. Det Kgl. Bibliotek, 2023. http://dx.doi.org/10.7146/aulsps-e.479.

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An archaeological excavation of the protected burial mound Store Vejlhøj in northwestern Denmark was carried out in October-November 2021. The excavation formed part of the ERC-funded research project called ANTHEA, focusing on the deep history of anthropogenic heathlands. It was conducted by Aarhus University in collaboration with Holstebro Museum and Moesgaard Museum. The aim was to test a new method of sampling pollen data from different construction stages in a burial mound and comparing them with pollen data from nearby lake sediments with a view to improving our understanding of prehisto

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DiDomizio, Matthew, and Jonathan Butta. Measurement of Heat Transfer and Fire Damage Patterns on Walls for Fire Model Validation. UL Research Institutes, 2024. http://dx.doi.org/10.54206/102376/hnkr9109.

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Fire models are presently employed by fire investigators to make predictions of fire dynamics within structures. Predictions include the evolution of gas temperatures and velocities, smoke movement, fire growth and spread, and thermal exposures to surrounding objects, such as walls. Heat flux varies spatially over exposed walls based on the complex thermal interactions within the fire environment, and is the driving factor for thermally induced fire damage. A fire model predicts the temperature and heat transfer through walls based on field predictions, such as radiative and convective heat fl

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Liu, Tairan. Addressing Urban Traffic Congestion: A Deep Reinforcement Learning-Based Approach. Mineta Transportation Institute, 2025. https://doi.org/10.31979/mti.2025.2322.

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In an innovative venture, the research team embarked on a mission to redefine urban traffic flow by introducing an automated way to manage traffic light timings. This project integrates two critical technologies, Deep Q-Networks (DQN) and Auto-encoders, into reinforcement learning, with the goal of making traffic smoother and reducing the all-too-common road congestion in simulated city environments. Deep Q-Networks (DQN) are a form of reinforcement learning algorithms that learns the best actions to take in various situations through trial and error. Auto-encoders, on the other hand, are tool

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Coscia, Jordan, Wendy Cass, and Leighton J. Evaluation of 20 years of vegetation change in the Big Meadows landscape of Shenandoah National Park in response to mowing and burning: Application of historic data to identify best practices for future meadow management. National Park Service, 2025. https://doi.org/10.36967/2312599.

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The Big Meadows landscape is an open habitat that supports unique biodiversity not found elsewhere in Shenandoah National Park. To support this biodiversity and to maintain the Meadow’s historic landscape characteristics, Park staff have managed the meadows using prescribed burns, mowing, and the targeted cutting and removal of woody plants since 1998. To assess the impacts of these management actions on the plant community in Big Meadows and to guide future land management recommendations, we visualized changes in the plant community composition between 1998 and 2022 using non-metric multidim

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