Relevant bibliographies by topics / CNC tools

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'CNC tools'

Author: Grafiati
Published: 8 September 2021
Last updated: 1 February 2022

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Journal articles on the topic "CNC tools"

1

Yinsheng, Wan. "Influence of CNC Tools on CNC Machining Technology." IOP Conference Series: Materials Science and Engineering 569 (August 9, 2019): 032043. http://dx.doi.org/10.1088/1757-899x/569/3/032043.

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Wang, Chen Sheng, Tjamme Wiegers, and Joris S. M. Vergeest. "An Implementation of Intelligent CNC Machine Tools." Applied Mechanics and Materials 44-47 (December 2010): 557–61. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.557.

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Improving the machining efficiency of CNC machine tools by introducing intelligence is now gaining more attention from both researchers and entrepreneurs. Based on the assessment of existing strategy of intelligent machine tool design, an implementation and preliminary evaluation of an intelligent CNC lathe has been reported in this paper. Techniques discussed in this paper are expected to benefit CNC machine tool researchers and designers in terms of the development of intelligent CNC machine tools.
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Nie, Xue Jun, Li Wang, and Kun Li. "Research on the Feed Servo System of CNC Machine Tool." Advanced Materials Research 479-481 (February 2012): 2620–24. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.2620.

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In this paper, mathematical model of CNC machine tool’s feed servo system is established, various control methods of feed servo system in CNC machine tool are summarized, simulation models in different control modes are constructed by using MATLAB Simulink tools, also the influence of various control modes on system performance is discussed, some reference for feed servo system performance optimization in CNC machine tool are provided.
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Xu, Zhi Wei, and Yong Xian Liu. "Study on Modular Design Method for CNC Lathe." Applied Mechanics and Materials 80-81 (July 2011): 1198–202. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.1198.

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A multi-dimensional module partition methodology is put forward for CNC lathe, in which not only the functional module partition and the physical structure module partition of CNC machine tools are taken into account, but the characteristics of different stages of in the whole life-cycle of machine tools is considered as well. On the basis of this the principle of module partition for CNC machine tools are presented. The mechanical structure system of CNC lathe is elaborated on the functional module and structural module. A CNC machine tool company’s HTC Series CNC lathes modular design is illustrated as an example.
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Kráľ, Ján, and Ján Kráľ Jr. "GRINDING OF SHAPED TOOLS ON CNC TOOL GRINDER." Advances in Science and Technology – Research Journal 7, no. 17 (2013): 6–9. http://dx.doi.org/10.5604/20804075.1036989.

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Fan, Jin Wei, Yong Jun Liu, and Xiao Feng Wang. "Fuzzy Reliability Allocation of CNC Grinding Machine Tools." Advanced Materials Research 765-767 (September 2013): 38–42. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.38.

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Reliability allocation influence factors of CNC grinding machine tools are mostly uncertain and the fuzzy method is one powerful tool for uncertain question. The reliability allocation influence factors were analyzed and the subsystems were divided of CNC grinding machine tools. Reliability allocation weight calculation method by fuzzy mathematics is proposed and the reliability is allocated to subsystem of CNC grinding machine tools by given condition. Fuzzy reliability allocation method considering various factors is practical, accurate and it can be used in concept design of CNC grinding machine tools.
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Boral, Piotr, Tadeusz Nieszporek, and Rafał Gołębski. "The welded CNC machine tool frame." MATEC Web of Conferences 157 (2018): 01003. http://dx.doi.org/10.1051/matecconf/201815701003.

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Machine tools are built based on cast-iron bodies. Cast iron well dumps down vibrations and is dimensionally stable. Therefore, many conventional machine tools are modernized and modified into CNC machine tools based on the seasoned old bodies of those machine tools. Nevertheless, CNC machine tools are also manufactured based on polymer concrete, which vibration damping ability is even better. On the other hand, attempts made in the past by leading machine tool manufacturers to use welded frames in CNC machine tools failed. The revival of interest in welded frames was spurred by economic considerations, as steel systems are much thinner compared to cast-iron ones. They are able to carry the same loads. The construction of CNC machine tools with a welded steel frame undertaken at the Institute of Mechanical Technologies (ITM) of the Czestochowa University of Technology is an attempt to solve this constructional problem. The machine tool frame was designed with use of CAD solid works system. The ultimate success of using the welded frame is determined not only by the frame itself, but also generally the design of the machine tool and its operation parameters. The welded frame was used for a high-accuracy three-axis milling machine. In this respect, it is equal of professional machine tools manufactured by reputed companies. It can be either a production machine tool or a test stand.
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Bai, Xiang He, Xin Yong Mao, Hong Qi Liu, Hai Zhou Li, and Bin Li. "Optimal Sensor Placement for CNC Machine Tools." Advanced Materials Research 479-481 (February 2012): 1813–21. http://dx.doi.org/10.4028/www.scientific.net/amr.479-481.1813.

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Proper pretest planning is a vital component of any successful CNC machine tools’ vibration test. An extremely important part of the pretest exercise is the placement of sensors. In general, the placement of sensors of CNC is uniform distribution, which depends on test engineer’s experience. This paper considers the problem of locating sensors on the CNC machine tools with the aim of maximizing the data information so that structural dynamic behavior of CNC machine tools can be fully characterized. We present a new technique, based upon Effective Independence (EfI) and Shannon’s Sampling Theorem, that can meet test accuracy requirements and the visualization of the mode shapes. The technique is applied on XHK5140 CNC machine tool successfully
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Shang, Miao, Guo Min Lin, Wen Guang Zhang, and Yong Tao Sun. "Analysis on Application of Domestic CNC Machine Tools in the Field of Aviation." Advanced Materials Research 971-973 (June 2014): 394–97. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.394.

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CNC equipment as carriers of the advanced manufacturing technologies, to accelerate the rapid development of China's aviation industry has a pivotal role. In this article, the development of intelligent Aero-CNC machine tools is studied, the reliability improvement of domestic CNC machine tool is illustrated, the specific applications of domestic CNC machine tools is analyzed in the field of aviation, the development direction of China Aero-CNC machine tool is pointed out, it has a strategic significance for the revitalization of China's aviation industry.
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Martinova, L. I., and G. M. Martinov. "Prospects for CNC Machine Tools." Russian Engineering Research 39, no. 12 (2019): 1080–83. http://dx.doi.org/10.3103/s1068798x19120153.

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Dissertations / Theses on the topic "CNC tools"

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Sievert, Marilyn Kay. "In-house certification CNC training and certification /." Online version, 1999. http://www.uwstout.edu/lib/thesis/1999/1999sievertm.pdf.

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Kanburoglu, Furkan A. "Distributed Control System For Cnc Machine Tools." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610599/index.pdf.

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&ldquo<br>Numerically Controlled&rdquo<br>(NC) machine tools, which are automatically operated by encoded (digital) commands, are capable of machining components with quality and quantity. Manufacturing industry heavily depends on these machines. Many different control architectures have been adapted in today&rsquo<br>s CNC technology. Centralized control system is quite popular in industry due to its ease of implementation. If the number of controlled axes on a CNC machine tool (&gt<br>3), increases so does the computational burden on the central processors. Hence, more powerful processors are needed. An alternative architecture, which is not commonly used in CNC technology, is the decentralized (distributed) control. In this topology, the tasks handled by the distributed controllers that are interconnected to each other by a communication network. As the need arises, a new controller can be added easily to the network without augmenting the physical configuration. Despite its attractive features, this architecture has not been fully embraced by the CNC industry. Synchronization among the axes in the coordinated motion is proven to be quite challenging. In this thesis, alternative distributed controller architecture was proposed for CNC machine tools. It was implemented on a 3-axis CNC milling machine. Open-loop control performance was investigated under various conditions. Different communication protocols along with different physical communication interfaces and a number of controller hardware were devised. An industry-standard network (RS-485) was set up by interconnecting these distributed controllers. Different data transmission protocols were devised in order to establish appropriate communication methods. Also, computer software (a.k.a. graphical user interface), which can coordinate the interconnected controllers, interpret NC part programs and generate reference position data for each axis, was designed within the scope of this thesis.
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Hede, Brian P. "Condition monitoring of tools in CNC turning." Thesis, Loughborough University, 2008. https://dspace.lboro.ac.uk/2134/14320.

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The metal cutting industry today is highly automated and, as a step towards Europe's ability to compete on the world market, an increased level of automation can be expected in the future. Therefore, much attention has been paid to the use of automated monitoring systems within the maintenance strategies designed to prevent breakdown. This research focuses on the condition monitoring of cutting tools in CNC turning, using airborne acoustic emission, (AAE). A structured approach for overcoming the problems associated with changing cutting parameters is presented with good results. A reverse and novel approach in estimating gradual tool wear in longitudinal roughing has been made by predicting cutting parameters directly from the acoustics emitted from the process. Using the RMS as a representation of the energy in the signal, where the spectral distributions are working as divisional operators, it has been possible to accurately extract a representation of feed rate, depth of cut and cutting speed from the signal. Using a simplified relationship to estimate tangential cutting force, a virtual force can be calculated and related to a certain amount of flank wear using non-linear regression. Furthermore, this research presents a monitoring solution where disturbances are eliminated by recognising the sound signatures where it, afterwards, is possible to evaluate the reliability of the wear decision. This is done by describing irregularities in the signal , where surface parameters used on a sound waveform, combined in a neural network, has been used to trigger outputs for several defined classes of disturbances. An investigation of the two wear types flank and crater wear, has been conducted and is has been concluded, that although crater wear has an effect on the AAE, it is difficult to recognise this. AAE has shown to an efficient tool to detect flank wear, where a direct relationship is shown between the changes in the cutting parameters, tool wear and AAE. This approach has resulted in a precise monitoring so lution, where flank wear can be estimated within an error of I0%.
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Rahaman, Mostafizur. "High speed motion control of CNC machince tools." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44797.

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High speed machining is a relatively new technology that has been applied to industries such as aerospace and die and mold making. By maximizing feedrates and cutting speeds of computer numerically controlled (CNC) machine tools, high levels of productivity are achieved. High speed machining requires rigid tool structures, stable spindles with high power and feed drives which can follow the desired tool trajectory. It is important to point out that both velocity and acceleration are physically constrained for any machine tool. However, the paths supplied by Computer Aided Design (CAD) systems do not take machine constraints into account. Thus, they usually provide very conservative (slow) part programs to this CNC machine, and the operator is then required to adjust the feedrates manually. This process is tedious, and attempts at providing improved preprocessors between the CAD system and the CNC tool have not been successful commercially, since there are too many unknown process parameters. As a result, realtime control techniques such as Cross Coupled Control (CCC), Zero Phase Error Tracking Control (ZPETC), or Realtime Feedrate Modulation (FM) have been studied in the literature. This thesis compares the performance of these traditional control techniques in their ability to reduce path error. It is shown that none of these algorithms are universally applicable to both corner tracking and circular interpolation, which are two of the most common challenges in high speed machining. The thesis then presents two new tracking algorithms that improve and combine the benefits of the existing algorithms. First, a new Linearized Cross Coupled Control (LCCC) algorithm is presented that is easier to implement than traditional CCC and improves the corner tracking capabilities. Then an algorithm termed Robust Tracking Control (RTC) is presented that combines LCCC with FM in order to further improve corner tracking performance and robustness towards multiple machining constraints. Experiments on a custom built x-y table show that RTC performs extremely well in both corner tracking and circular interpolation, even when multiple constraints such as current saturation and voltage saturation are present.
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Postlethwaite, Scott R. "Electronic based accuracy enhancement of CNC machine tools." Thesis, University of Huddersfield, 1992. http://eprints.hud.ac.uk/id/eprint/4663/.

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The need for better machine tool accuracy is discussed together with the factors which can affect machine tool accuracy. A study is made of the various techniques adopted for the reduction of errors in machine tools. The concept of error compensation is discussed and the different techniques for error compensation are appraised. A critical appraisal is presented of the work undertaken to date in the field of error compensation. Based on this appraisal a criterion is established for a universally applicable error compensation system. The development of a novel, patented microprocessor based machine tool error compensation system which fulfills this criterion is described. This compensation system, which is based on the precalibrated compensation technique, utilizes a unique geometric compensation algorithm. This algorithm allows the compensation system to compensate for the geometric error components of any machine tool configuration up to three axes. The development of this geometric algorithm is presented. The integration of this compensation system to a large moving column milling machine is described. Measurement tests and cutting tests were performed on this milling machine to establish the effectiveness of the compensation system. The results from these experimental tests are presented, and illustrate the significant improvement in machine tool accuracy achieved through error compensation. This is the first attempt at producing a machine tool error compensation system with universal applicability, both in terms of the machine geometric model, and the method of applying the compensation to the machine tool. The error compensation system developed gives the potential for compensating for thermally induced and load induced position errors, and will enable further work in this area to be commercially exploited.
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Quesada, Robert E. "Alternative assessment of computer numerical control (CNC) machine tool students." Online version, 1999. http://www.uwstout.edu/lib/thesis/1999/1999quesada.pdf.

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Hoh, See Min. "Condition monitoring and fault diagnosis for CNC machine tools." Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295120.

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Lau, Pak Fai. "CNC machining accuracy enhancement by tool path compensation method /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?IEEM%202005%20LAU.

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Harris, C. G. "Fault diagnosis and condition monitoring for NC/CNC machine tools." Thesis, Cardiff University, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381227.

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Sztendel, Sebastian. "Model referenced condition monitoring of high performance CNC machine tools." Thesis, University of Huddersfield, 2016. http://eprints.hud.ac.uk/id/eprint/34112/.

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Generally, machine tool monitoring is the prediction of the system’s health based on signal acquisition and processing and classification in order to identify the causes of the problem. The producers of machine tools need to pay more attention to their products life cycle because their customers increasingly focus on machine tool reliability and costs. The present study is concerned with the development of a condition monitoring system for high speed Computer Numerical Control (CNC) milling machine tools. A model is a simplification of a real machine to visualize the dynamics of a mechatronic system. This thesis applies recent modelling techniques to represent all parameters which affect the accuracy of a component produced automatically. The control can achieve an accuracy approaching the tolerance restrictions imposed by the machine tool axis repeatability and its operating environment. The motion control system of the CNC machine tool is described and the elements, which compose the axis drives including both the electrical components and the mechanical ones, are analysed and modelled. SIMULINK models have been developed to represent the majority of the dynamic behaviour of the feed drives from the actual CNC machine tool. Various values for the position controller and the load torque have been applied to the motor to show their behaviour. Development of a mechatronic hybrid model for five-axis CNC machine tool using Multi-Body-System (MBS) simulation approach is described. Analysis of CNC machine tool performance under non-cutting conditions is developed. ServoTrace data have been used to validate the Multi-body simulation of tool-to-workpiece position. This thesis aspects the application of state of art sensing methods in the field of condition monitoring of electromechanical systems. The ballscrew-with-nut is perhaps the most prevalent CNC machine subsystem and the condition of each element is crucial to the success of a machining operation. It’s essential to know of the health status of ballscrew, bearings and nut. Acoustic emission analysis of machines has been carried out to determine the deterioration of the ballscrew. Standard practices such as use of a Laser Interferometer have been used to determine the position of the machine tool. A novel machine feed drive condition monitoring system using acoustic emission (AE) signals has been proposed. The AE monitoring techniques investigated can be categorised into traditional AE parameters of energy, event duration and peak amplitude. These events are selected and normalised to estimate remaining life of the machine. This method is shown to be successfully applied for the ballscrew subsystem of an industrial high-speed milling machine. Finally, the successful outcome of the project will contribute to machine tool industry making possible manufacturing of more accurate products with lower costs in shorter time.
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Books on the topic "CNC tools"

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CNC machining. The Goodheart-Willcox Company, 2008.

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Gizelbach, Richard. CNC machining. The Goodheart-Willcox Company, 2009.

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Adams, Edward L. CNC router evaluation procedures. U.S. Dept. of Agriculture, Forest Service, Northeastern Forest Experiment Station, 1994.

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Kelly, James F. (James Floyd), ed. Build your own CNC machine. Apress, 2009.

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Smith, Graham T. CNC machining technology. Springer-Verlag, 1993.

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CNC machining technology. Springer-Verlag, 1993.

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Smith, Graham T. CNC machining technology. Springer-Verlag, 1993.

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Smith, Graham T. CNC machining technology. Springer-Verlag, 1993.

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CNC machining technology. Springer-Verlag, 1993.

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Krar, Stephen F. CNC: Technology and programming. Gregg Division, McGraw-Hill, 1990.

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Book chapters on the topic "CNC tools"

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Smith, Graham T. "The Development and Design of CNC Machine Tools." In CNC Machining Technology. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-1748-3_1.

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Smith, Graham T. "The Development and Design of CNC Machine Tools." In CNC Machining Technology. Springer London, 1993. http://dx.doi.org/10.1007/978-1-4471-2051-3_1.

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Gull, M., and N. Garner. "Contour Assessment of CNC Machine Tools." In Proceedings of the Thirtieth International MATADOR Conference. Macmillan Education UK, 1993. http://dx.doi.org/10.1007/978-1-349-13255-3_87.

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Jabran, Sohaib, Shajee Ahmed, Sarmad Afzal, and Faizan Tariq. "Axes CNC Milling Machine." In Functional Reverse Engineering of Strategic and Non-Strategic Machine Tools. CRC Press, 2021. http://dx.doi.org/10.1201/9780367808235-5.

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Shao, Juan. "Cloud Computing with Heavy CNC Machine Tools." In Application of Intelligent Systems in Multi-modal Information Analytics. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51431-0_47.

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Navrátilová, Barbora. "Weighted Multilateration in Volumetry of CNC Machine Tools." In Recent Advances in Soft Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97888-8_26.

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Wen-Yuh, Jywe. "Developing contouring testing device for CNC machine tools." In Proceedings of the 33rd International MATADOR Conference. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0777-4_42.

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Baharudin, BT Hang Tuah, N. Dimou, and K. K. B. Hon. "Tool Wear Behaviour of Micro-Tools in High Speed CNC Machining." In Proceedings of the 34th International MATADOR Conference. Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-0647-0_17.

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Song, Jun-you, Li-ke Wu, and Zhong-qi Sheng. "Development of Modular Design System for CNC Machine Tools." In Proceedings of 20th International Conference on Industrial Engineering and Engineering Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40063-6_7.

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E, Rui. "Design of Wireless Communication System for CNC Machine Tools." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69066-3_13.

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Conference papers on the topic "CNC tools"

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Holub, Michal, and Josef Knobloch. "Geometric accuracy of CNC machine tools." In 2014 16th International Conference on Mechatronics - Mechatronika (ME). IEEE, 2014. http://dx.doi.org/10.1109/mechatronika.2014.7018268.

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Sheng, Bo, Chao Deng, Yuanhang Wang, and Shengquan Xie. "Improved multi-faults diagnosis for CNC machine tools." In 2016 12th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA). IEEE, 2016. http://dx.doi.org/10.1109/mesa.2016.7587194.

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Esterling, Donald, F. Donald Caulfield, Aaron Kiefer, Gregory Buckner, and Pavan Jaju. "Non-Contact Device for Measuring Frequency Response Functions of CNC Machine Tools." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42264.

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The frequency response function (FRF) of a CNC machine tool is composed of tool/toolholder/spindle dynamics, and plays an important role in determining the stability of high speed machining processes. This paper details the design, development and operational verification of a non-contacting, controllable, electromechanical actuator (EMA) for measuring the FRFs of tools mounted in CNC milling machines. Although standard modal testing methods are available and provide similarly accurate results, these test procedures are difficult to perform in machine shop environments and can require expensive equipment. The EMA developed as part of this research extends the capabilities of the NIST “best speeds device” to provide controllable, non-contacting excitation for modal tests on machine tools. This EMA device offers the advantages of being accurate, easy to use, and applicable to a wide variety of tools and operating conditions.
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Jiang, Zhong, Wei Wang, Qingzhao Li, Zhipeng Zhou, Jiexiong Ding, and Meng Deng. "Evaluation of the Dynamic Performance for Five-Axis CNC Machine Tools Based on RTCP." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53021.

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RTCP (rotation tool center point), which is one of the necessary functions for high-grade CNC machine tools, can effectively decrease nonlinear errors caused by the motion of the rotation axis and improve the accuracy of the machinery. Based on the characteristic that the cutting tool tip point is relative to the manufacturing workpiece, the RTCP trajectory is proposed to conveniently measure the displacement of the tool tip point. The scheme is utilized to study the dynamic performance of machine tools, and a simulation that shows the relationship between the tool tip error trajectory and the factors influencing the dynamic performance of the machine tool is presented based on the servo system model. Then, the experiment is carried out, and the tool tip point error variation is found to be consistent with the simulation result. This study provides theoretical support for dynamic performance detection of five-axis CNC machine tools.
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Liu, Yuan, Yong-zhang Wang, and Hong-ya Fu. "An open architecture motion controller for CNC machine tools." In 2008 2nd International Symposium on Systems and Control in Aerospace and Astronautics (ISSCAA). IEEE, 2008. http://dx.doi.org/10.1109/isscaa.2008.4776146.

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Li, Chaoyu, Xuchen Liu, Siyu Qian, Jialu Ren, and Xinyi Tang. "Web crawler for fault diagnosis of CNC machine tools." In 2019 IEEE 4th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). IEEE, 2019. http://dx.doi.org/10.1109/iaeac47372.2019.8997778.

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Qiao, Dongkai, Xiangyu Yang, and Jinxin Jia. "The Application of PLC to CNC Machine Tools Development." In 2011 Second International Conference on Digital Manufacturing and Automation (ICDMA). IEEE, 2011. http://dx.doi.org/10.1109/icdma.2011.299.

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Lian, Haishan, Z. N. Guo, and Wenfeng Zhao. "The design of multi-function CNC ultrasonic machine tools." In 2011 International Conference on Electronics, Communications and Control (ICECC). IEEE, 2011. http://dx.doi.org/10.1109/icecc.2011.6066681.

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Li, Xueguang, Wenguang An, Huizhong Hu, Penghui Li, and Xinghe Jiang. "Development of data acquisition system for CNC machine tools." In 2020 IEEE International Conference on Advances in Electrical Engineering and Computer Applications (AEECA). IEEE, 2020. http://dx.doi.org/10.1109/aeeca49918.2020.9213464.

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Jywe, Wenyuh, Y. R. Jeng, Yitsung Li, et al. "A 3D error measurement system for CNC machining tools." In International Symposium on Instrumentation Science and Technology, edited by Jiubin Tan and Xianfang Wen. SPIE, 2008. http://dx.doi.org/10.1117/12.807694.

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Reports on the topic "CNC tools"

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Chitanvis, Maneesha Elizabeth. LANL biosurveillance tools at CDC. Office of Scientific and Technical Information (OSTI), 2017. http://dx.doi.org/10.2172/1361464.

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Preston, Richard J., and Jr. Maritime Interdiction: A Viable Tool for Today's CINC. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada293369.

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Chappell, Mark, Wu-Sheng Shih, Cynthia Price, et al. Environmental life cycle assessment on CNTRENE® 1030 material and CNT based sensors. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42086.

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This report details a study investigating the environmental impacts associated with the development and manufacturing of carbon nanotube (CNT)–based ink (called CNTRENE 1030 material) and novel CNT temperature, flex, and moisture sensors. Undertaken by a private-public partnership involving Brewer Science (Rolla, Missouri), Jordan Valley Innovation Center of Missouri State University (Springfield, Missouri), and the US Army Engineer Research and Development Center (Vicksburg, Mississippi), this work demonstrates the environmental life cycle assessment (ELCA) methodology as a diagnostic tool to pinpoint the particular processes and materials posing the greatest environmental impact associated with the manufacture of the CNTRENE material and CNT-based sensor devices. Additionally, ELCA tracked the degree to which optimizing the device manufacturing process for full production also changed its predicted marginal environmental impacts.
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Borrett, Veronica, Melissa Hanham, Gunnar Jeremias, et al. Science and Technology for WMD Compliance Monitoring and Investigations. The United Nations Institute for Disarmament Research, 2020. http://dx.doi.org/10.37559/wmd/20/wmdce11.

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Abstract:
The integration of novel technologies for monitoring and investigating compliance can enhance the effectiveness of regimes related to weapons of mass destruction (WMD). This report looks at the potential role of four novel approaches based on recent technological advances – remote sensing tools; open-source satellite data; open-source trade data; and artificial intelligence (AI) – in monitoring and investigating compliance with WMD treaties. The report consists of short essays from leading experts that introduce particular technologies, discuss their applications in WMD regimes, and consider some of the wider economic and political requirements for their adoption. The growing number of space-based sensors is raising confidence in what open-source satellite systems can observe and record. These systems are being combined with local knowledge and technical expertise through social media platforms, resulting in dramatically improved coverage of the Earth’s surface. These open-source tools can complement and augment existing treaty verification and monitoring capabilities in the nuclear regime. Remote sensing tools, such as uncrewed vehicles, can assist investigators by enabling the remote collection of data and chemical samples. In turn, this data can provide valuable indicators, which, in combination with other data, can inform assessments of compliance with the chemical weapons regime. In addition, remote sensing tools can provide inspectors with real time two- or three-dimensional images of a site prior to entry or at the point of inspection. This can facilitate on-site investigations. In the past, trade data has proven valuable in informing assessments of non-compliance with the biological weapons regime. Today, it is possible to analyse trade data through online, public databases. In combination with other methods, open-source trade data could be used to detect anomalies in the biological weapons regime. AI and the digitization of data create new ways to enhance confidence in compliance with WMD regimes. In the context of the chemical weapons regime, the digitization of the chemical industry as part of a wider shift to Industry 4.0 presents possibilities for streamlining declarations under the Chemical Weapons Convention (CWC) and for facilitating CWC regulatory requirements.
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