Academic literature on the topic 'Paper-making machinery'
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Journal articles on the topic "Paper-making machinery"
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Shmerkin, R. S., and E. V. Vasyutin. "Reducing the power capacity of paper- and board-making machinery." Chemical and Petroleum Engineering 21, no. 8 (1985): 390–91. http://dx.doi.org/10.1007/bf01149708.
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van Dijk, Michiel, and Adam Szirmai. "Industrial Policy and Technology Diffusion: Evidence from Paper Making Machinery in Indonesia." World Development 34, no. 12 (2006): 2137–52. http://dx.doi.org/10.1016/j.worlddev.2006.03.004.
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Liu, Juan. "Looking Green Manufacturing Processes in the Machinery Manufacturing." Advanced Materials Research 503-504 (April 2012): 111–14. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.111.
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In this paper, there are many system analysis and Summary about the green manufacturing processes, the development of profiles in machinery manufacturing, and prospects about the future research of the green manufacturing process.In real terms, green manufacturing processes in the mechanical manufacturing process is a series of decision-making process, which is important about the clear decision-making objectives of this paper, based on existing research of green manufacturing, this paper summed up the target system and decision-making model of the green manufacturing processes in the machinery.The exact division of the decision-making goal and the proper establishment of the decision model has important implications for the future of green manufacturing.
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Rosli, Muhammad Firdaus, Lim Meng Hee, and M. Salman Leong. "Integration of Artificial Intelligence into Dempster Shafer Theory: A Review on Decision Making in Condition Monitoring." Applied Mechanics and Materials 773-774 (July 2015): 154–57. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.154.
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Machines are the heart of most industries. By ensuring the health of machines, one could easily increase the company revenue and eliminates any safety threat related to machinery catastrophic failures. In condition monitoring (CM), questions often arise during decision making time whether the machine is still safe to run or not? Traditional CM approach depends heavily on human interpretation of results whereby decision is made solely based on the individual experience and knowledge about the machines. The advent of artificial intelligence (AI) and automated ways for decision making in CM provides a more objective and unbiased approach for CM industry and has become a topic of interest in the recent years. This paper reviews the techniques used for automated decision making in CM with emphasis given on Dempster-Shafer (D-S) evident theory and other basic probability assignment (BPA) techniques such as support vector machine (SVM) and etc.
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Shu, Qi, and Bing Gang Wang. "Ergonomics Analysis Thinking of the Operation Domain Design of Workover Machines." Advanced Materials Research 228-229 (April 2011): 368–73. http://dx.doi.org/10.4028/www.scientific.net/amr.228-229.368.
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Nowadays there is little ergonomics consideration in the oil engineering machines and the improvement of comfort levels in the high intensity work of oil workers should be noted. Taking the case of the interface design of operation domain of the workover machines, this paper studied the design method of man-machine interface of oil workover machines basing on its development trend, from the view point of improving operation efficiency and operating reliability. In the paper two kinds of software, SolidWorks and CATIA, were used to build 3D virtual human body models and conduct the man-machine interface design of the workspace. Ultimately, a new thinking of man-machine interface optimization design of oil machinery was obtained by making a comparison of the two design processes.
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Wu, Tao, Paul Brereton, and Jacqueline Patel. "How to make sell and buy quiet a reality in Britain." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 263, no. 6 (2021): 378–87. http://dx.doi.org/10.3397/in-2021-1448.
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Hearing loss caused by excessive exposure to noise at work remains reportedly widespread. Purchase of quieter machinery is an efficient method of reducing both occupational noise exposure and the need to manage risk from noise, but it requires reliable noise information. Machinery supplied in Britain must have noise risk minimized and, where noise continues to present a risk, be supplied with data making clear the potential for noise risk, enabling identification of lower noise models and indicating methods of controlling that risk. In 2012 a pre-market surveillance exercise reported 80% non-compliance with these legal requirements and found it highly unlikely that buyers and users of machinery could make reliable decisions based on the noise data provided with machines. This paper considers the prospect of Sell and Buy Quiet becoming a reality in Britain through: restoring stakeholder confidence in noise data; establishing incentives for stakeholder action; making low noise machinery identifiable; clarifying and simplifying noise legislation; and improving some noise test codes.
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Hu, Hao, Xiao Feng, Shi Qiu, Dan Yang, Zhong Kai Chen, and Xiang Li Wang. "Dynamic Optimization Design of Sand Milling Collection Machinery Suspensions." Applied Mechanics and Materials 536-537 (April 2014): 1314–20. http://dx.doi.org/10.4028/www.scientific.net/amm.536-537.1314.
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Sand milling collection machinery is a kind of large machinery to collect the surface soil containing ores. The suspension system of milling machines directly affects the ride comfort and driving safety for the operator; for this end, the design of suspension system has been optimized so as to satisfy the requirements of reliability and comfort by making the console and operator set at the maximum station and minimum absolute acceleration and the amplitude within the range. This paper first established a suspension system model of milling collection machines and set up the state equation of suspension system by applying Lagrange equation. On this basis, this paper conducted the optimized calculation encouraged bt the pavement with sine rule change and obtained an optimal suspension system parameters ki and ci.
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Niculescu, Dan Florin, Adrian Ghionea, and Adrian Olaru. "Diagnosis and Predictive Maintenance of Machinery and Equipment, by Measuring Vibration." Applied Mechanics and Materials 325-326 (June 2013): 186–91. http://dx.doi.org/10.4028/www.scientific.net/amm.325-326.186.
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The paper presents results of analysis of the dynamic behavior of rotating mechanisms and couplings of the main structure of a kinematic chain sharpening machine precision Cugir normal UAS 200. The ultimate goal is to establish diagnostic and maintenance program the car UAS 200. Diagnosis by measurement of vibration and noise, allow a company to monitor faults and machines and equipment, through a system of preventive maintenance, predictive. Diagnosis automatic machinery and equipment is made in order to ensure a higher reliability of these and how to obtain a more extended life cycle without the occurrence of defects. The application of preventive and predictive maintenance management supports enterprise, because it proves effective, the information you provide in making decisions.
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Gerasimov, V., V. Ignatov, K. Sovin, and S. Buryakov. "Processes of waste management of disposed agricultural machinery in AIC." Sel'skohozjajstvennaja tehnika: obsluzhivanie i remont (Agricultural Machinery: Service and Repair), no. 2 (February 1, 2020): 46–53. http://dx.doi.org/10.33920/sel-10-2002-07.
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The paper reflects the nature of the main technological measures that are carried out at specialized enterprises (sites) for processing waste disposal of self-propelled machines in the agro-industrial complex. Waste generation occurs at all stages of the life cycle. The product life cycle includes a number of stages, each of which involves the use of specific types of work, in the course of which there are production and consumption waste (hereinafter — waste). Considering the full life cycle of the machine, it should be understood that the production stage of the machine can last for a long time. But the time characteristic of making a particular machine at this stage will be equal to the time interval associated with making a particular instance of the machine.
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Gallizioli, Giorgio. "Better Regulation Impact on EU Law-Making." Teisė 114 (April 5, 2020): 169–83. http://dx.doi.org/10.15388/teise.2020.114.13.
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This paper aims to analyse these new rules introduced by the EC. The purpose is to evaluate whether or not these changes have altered the original institutional design significantly and to assess its impact on the “Community method”, in other words on the EC prerogative to initiate the law-making machinery.
Dissertations / Theses on the topic "Paper-making machinery"
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Berg, Jonathan. "Further development of manufacturing method for polyurethane shoe press." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-86081.
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The press-section of a paper machine holds several different types of press rolls. One of the many press roll variants is the Valmet produced press roll, ViscoNip. This press roll utilizes an extended nip in order to increase the amount of water removed. The extended press nip in ViscoNip is special since it is controllable by a pressurized polyurethane press shoe. The press shoe runs through the body of the press roll. Due to the limits of the current production process, new manufacturing methods and construction solutions are needed. In cooperation with another thesis, the current design and manufacturing process was reviewed and a plan intended to improve the current solution was formulated. The plan was to, by working together in a project, perform a product development process intended to create concepts able to utilize new methods of manufacturing. By using established methods of concept generation, such as Brainwriting 6-3-5, 11 concepts were created. Some of these concepts involved a redesign of the press shoe, leading to a need for construction and performance analysis. The other thesis focusing on the structural and mechanical performance evaluation of the new concepts. The work of this thesis focusing on researching new possible and available manufacturing solutions. The new concepts were analyzed with new and possible manufacturing methods to fulfill all the requirements. With all data, a document was created and market research was made to get feedback from more knowledgeable in the subject. Moreover, sequence analysis between the concepts with the current and those new manufacturing methods was made to further explain which manufacturing method that could solve the main problem. All in all, one different redesigned concept was deemed as having potential for further development. The current solution was also deemed as having potential for future development but only when new manufacturing methods or techniques were considered.
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Bergström, Mikael. "Product Development and Finite Element Analysis of Polyurethane Press Shoe : Produktutveckling och finit element analys av press-sko i polyuretan." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85657.
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The press-section of a paper machine holds several different types of press rolls. One of the many press roll variants is the Valmet produced press roll, ViscoNip. This press roll utilizes an extended nip in order to increase the amount of water removed. The extended press nip in ViscoNip is special since it is controllable by a pressurized polyurethane press shoe. The press shoe runs through the body of the press roll. Due to limits of the current production process, new manufacturing methods and construction solutions are needed. In cooperation with another thesis, the current design and manufacturing process was reviewed and a plan intended to improve the current solution was formulated. The plan was to, by working together in a project, perform a product development process intended to create concepts able to utilize new methods of manufacturing. By using established methods of concept generation, such as Brainwriting 6-3-5, 11 concepts were created. Some of these concepts involved a redesign of the press shoe, leading to a need for construction and performance analysis. With the other thesis focusing on researching new possible and available manufacturing solutions. The work of this thesis fully committed to the structural and mechanical performance evaluation of the new concepts. This was performed by creating a model of the technical application using Finite Element Modelling in ABAQUS. The model included a hyperelastic material model for the polyurethane material as well as cohesive zone modelling to account for partitioning of the part. The model was then used to simulate the different concepts as they were subjected to a challenging load case. The results of which were used as the basis for structural and performance analysis. The analysis showed proof of sufficient structural stability and mechanical performance for all evaluated concepts. Then, in cooperation with the other thesis, a final concept choice was made. All in all, three different redesigned concepts were deemed as having potential for further development. The current solution was also deemed as having potential for future development but only when new manufacturing methods or techniques were considered.
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Lu, Chia-Lin, and 盧佳玲. "Paper bag making machine scheduling." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/60712823353470948537.
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碩士<br>南台科技大學<br>工業管理研究所<br>98<br>This study considers the scheduling on the paper bag making machine and employs a paper bag manufacturing company as the research case. The paper bag making machine requires ten setup operations before orders are processed. The paper bag making machine is a bottleneck of the paper bag making process due to long setup times and many setup operations are needed. This study focuses on the single paper bag making machine and the parallel paper bag making machine with sequence-dependent setup time activities. The optimal schedule is obtained for assisting the paper bag manufacturing company in production plan.
Mixed integer programming (MIP) technique is used in this work. Seven MIP models are presented, including one for computing setup times of any two orders, three for the single paper bag making machine, and the other three for the parallel paper bag making machine. The makespan, total completion time, and total tardiness are the objectives. The seven MIP models are transformed to LINGO code and are solved in LINGO 8.0 to find the optimal schedule. The input parameters and computational results are stored in EXCEL worksheet and they are used in execution of the LINGO code. The computational results reveal that different criterion has different order sequence and different computational time. The research conclusion can assist the paper bag manufacturing company in making the scheduling decision to improve machine utilization, reduce inventory and tardiness, and hence to enhance its overall competitiveness.
Keyword:Single machine, parallel machine, bag making
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CHEN, WEI-YU, and 陳威宇. "A Research on Fault Diagnosis of Paper-making Machine by Vibration SpectrumAnalysis." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/9b856z.
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碩士<br>國立勤益科技大學<br>機械工程系<br>107<br>The daily production rate of industrial paper-making machine is generally high. It can generate a very high amount of revenue everyday. If there is any temporary breakdown occurred in paper-making machine, this not only causes serious damages on machinery but also serious losses in company’s revenue. A non-schedule shutdown maintenance usually increases the costs. A paper-making mill has introduced a predictive maintenance method to reduce the probability of non-schedule shutdown maintenance. The damage degree of equipment can be tracked through lubricant analysis, thermal image analysis and vibration monitoring technology. Vibration monitoring is the easiest method to detect abnormal conditions occurred in machinery in the planned maintenance activities. However, the reason of abnormal status of machinery can not be accurately judged only by the magnitude of vibration, but only the severity of damage can be judged. Therefore, the vibration displacement is transformed into the spectrum by the vibration spectrum analysis method, which can effectively assist the analysts to find out the abnormal points of equipment and understand the fault condition. This allows maintenance engineers to prevent the damage caused by the fault from affecting the normal production schedule. Maintenance engineer applies vibration spectrum analyzer technology to find out abnormal points of equipment in paper-making mill, verify the accuracy of analysis, find damaged parts inside machine in advance, and carry out mechanical maintenance and replacement of parts as soon as possible.
Books on the topic "Paper-making machinery"
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Rudin, Bo. Making paper: A look into the history of an ancient craft. Rudins, 1990.
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Rao, Ming. Modeling and Advanced Control for Process Industries: Applications to Paper Making Processes. Springer London, 1994.
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Karakuri: How to make mechanical paper models that move. St. Martins Griffin, 2010.
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From the hand to the machine: Nineteenth-century American paper and mediums : technologies, materials, and conservation. Legacy Press, 2010.
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Most wonderful machine: Mechanization and social change in Berkshire paper making, 1801-1885. Princeton University Press, 1987.
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Museum of the mind: Build your own thinking machine from 192 pieces of paper. Abrams, 1992.
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Siebert, Martina, Kai Jun Chen, and Dorothy Ko, eds. Making the Palace Machine Work. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463720359.
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Making the Palace Machine Work: Mobilizing People, Objects, and Nature in the Qing Empire brings the studies of institutions, labour, and material cultures to bear on the history of science and technology by tracing the workings of the Imperial Household Department (Neiwufu) in the Qing court and empire. An enormous apparatus that employed 22,000 men and women at its heyday, the Department operated a "machine" with myriad moving parts. The first part of the book portrays the people who kept it running, from technical experts to menial servants, and scrutinises the paper trails they left behind. Part II uncovers the working principles of the machine by following the production chains of some of its most splendid products: gilded statues, jade, porcelain, and textiles. Part III examines the complex task of managing living organisms and natural environments, including lotus plants grown in imperial ponds in Beijing, fresh medicines sourced from disparate regions, and tribute elephants from Southeast Asia.
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Parker, Philip M. The 2007-2012 World Outlook for Manufacturing Paper Industry Machinery for Making Paper and Paper Products. ICON Group International, Inc., 2006.
Find full textBook chapters on the topic "Paper-making machinery"
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Backhaus, Andreas, Andreas Herzog, Simon Adler, and Daniel Jachmann. "Deployment architecture for the local delivery of ML-Models to the industrial shop floor." In Machine Learning for Cyber Physical Systems. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62746-4_4.
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AbstractInformation processing systems with some form of machine-learned component are making their way into the industrial application and offer high potentials for increasing productivity and machine utilization. However, the systematic engineering approach to integrate and manage these machine-learned components is still not standardized and no reference architecture exist. In this paper we will present the building block of such an architecture which is developed with the ML4P project by Fraunhofer IFF.
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Loh, Paul, Yuhan Hou, Chun Tung Tse, Jiaqi Mo, and David Leggett. "Freeform Volumetric Fabrication Using Actuated Robotic Hot Wire Cutter." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_26.
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AbstractThis paper discusses the design, fabrication and operational workflow of a novel hot-wire cutter used as an end effector for a robotic arm. Typically, hot wire cutters used a linear cutting element which results in ruled surfaces geometry. While several researchers have examined the use of hot wire cutter with cooperative robotic arms to create non-ruled surface geometry, this research explores the use of an actuated hot wire cutter manoeuver by a single robotic arm to produce similar form. The paper outlines the machine making process and its workflow resulting in a 1:1 scale prototype. The paper concludes by examining how the novel tool can be applied to an urban stage design. The research set up a fabrication procedure that has the potential to be deployed as an on-site fabrication methodology.
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Luo, Dan, Joseph M. Gattas, and Poah Shiun Shawn Tan. "Real-Time Defect Recognition and Optimized Decision Making for Structural Timber Jointing." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_4.
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AbstractNon-structural or out-of-grade timber framing material contains a large proportion of visual and natural defects. A common strategy to recover usable material from these timbers is the marking and removing of defects, with the generated intermediate lengths of clear wood then joined into a single piece of full-length structural timber. This paper presents a novel workflow that uses machine learning based image recognition and a computational decision-making algorithm to enhance the automation and efficiency of current defect identification and re-joining processes. The proposed workflow allows the knowledge of worker to be translated into a classifier that automatically recognizes and removes areas of defects based on image capture. In addition, a real-time optimization algorithm in decision making is developed to assign a joining sequence of fragmented timber from a dynamic inventory, creating a single piece of targeted length with a significant reduction in material waste. In addition to an industrial application, this workflow also allows for future inventory-constrained customizable fabrication, for example in production of non-standard architectural components or adaptive reuse or defect-avoidance in out-of-grade timber construction.
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Spyropoulos, Mary, and Alisa Andrasek. "Material Disruption." In Proceedings of the 2020 DigitalFUTURES. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4400-6_27.
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AbstractThis paper examines the role of computational simulation of material processes with robotics fabrication, with the intent of examining its implications for architectural design and construction. Simulation techniques have been adopted in the automotive industry amongst others, advancing their design and manufacturing outputs. At present, architecture is yet to explore the full potential of this technology and their techniques. The need for simulation is evident in exploring the behaviours of materials and their relative properties. Currently, there is a distinct disconnect between the virtual model and its fabricated counterpart. Through research in simulation, we can begin to understand and clearly visualize the relationship between material behaviours and properties that can lead to a closer correlation between the digital design and its fabricated outcome. As the first phase of investigation, the material of clay is used due to its volatile qualities embedded within the material behaviour. The input geometry is constrained to rudimentary extruded forms in order to not obscure the behaviour of the material, but rather allow for it to drive the machine-making process.
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Wang, Wubing, Guoxing Chen, Yueqiang Cheng, Yinqian Zhang, and Zhiqiang Lin. "Specularizer : Detecting Speculative Execution Attacks via Performance Tracing." In Detection of Intrusions and Malware, and Vulnerability Assessment. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80825-9_8.
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AbstractThis paper presents Specularizer, a framework for uncovering speculative execution attacks using performance tracing features available in commodity processors. It is motivated by the practical difficulty of eradicating such vulnerabilities in the design of CPU hardware and operating systems and the principle of defense-in-depth. The key idea of Specularizer is the use of Hardware Performance Counters and Processor Trace to perform lightweight monitoring of production applications and the use of machine learning techniques for identifying the occurrence of the attacks during offline forensics analysis. Different from prior works that use performance counters to detect side-channel attacks, Specularizer monitors triggers of the critical paths of the speculative execution attacks, thus making the detection mechanisms robust to different choices of side channels used in the attacks. To evaluate Specularizer, we model all known types of exception-based and misprediction-based speculative execution attacks and automatically generate thousands of attack variants. Experimental results show that Specularizer yields superior detection accuracy and the online tracing of Specularizer incur reasonable overhead.
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van Wynsberghe, Aimee. "Responsible Robotics and Responsibility Attribution." In Robotics, AI, and Humanity. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54173-6_20.
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AbstractThis paper stresses the centrality of human responsibility as the necessary foundation for establishing clear robotics policies and regulations; responsibility not on the part of a robot’s hardware or software, but on the part of the humans behind the machines—those researching and developing robotics. Simply put, we need responsible robotics. Responsible robotics is a term that has recently ‘come into vogue’, yet an understanding of what responsible robotics means is still in development. In light of both the complexity of development (i.e. the many hands involved) and the newness of robot development (i.e. few regulatory boards established to ensure accountability), there is a need to establish procedures to assign future responsibilities among the actors involved in a robot’s development and implementation. The three alternative laws of responsible robotics by Murphy and Wood play a formidable contribution to the discussion; however, they repeat the difficulty that Asimov introduced, that is, laws in general, whether they are for the robot or for the roboticist, are incomplete when put into practice. The proposal here is to extend the three alternative laws of responsible robotics into a more robust framework for responsibility attribution as part of the responsible robotics goal. This framework requires making explicit various factors: the type of robot, the stage of robot development, the intended sector of use, and the manner of robot acquisition. With this in mind, one must carefully consider the scope of the ethical issue in question and determine the kind of responsibility attributed to said actor(s).
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Gordon, Robert B., and Patrick M. Malone. "The Factory." In The Texture of Industry. Oxford University Press, 1994. http://dx.doi.org/10.1093/oso/9780195058857.003.0015.
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With Samuel Slater’s textile mill (1793, in Pawtucket, Rhode Island) and Eli Whitney’s armory (1798, in Whitneyville, Connecticut), American entrepreneurs began to make in factories products that had formerly been made in homes or craft shops. Another new concept in manufacturing, the principle of uniformity (sometimes described as “interchangeability”), was also winning converts in America. Factories making uniform products increasingly used power-driven machinery in the production process. However, it is a mistake to conflate mechanization, factories, and uniformity. Mechanization was used in colonial craft shops as well as in nineteenth-century factories. Until the late nineteenth century, factory managers achieved uniformity primarily through improved handwork skills and gauging rather than with machinery. Chapter 9 will cover the mechanization of work in factories as well as efforts to achieve uniformity in machine parts. Many of the best examples of early American factories are in New England, where there was a serendipitous combination of water power, entrepreneurial capital, and the artisanal skills necessary to build mills and machinery. The textile mills erected there had a powerful influence on the evolution of American factory architecture. As we look closely at a number of New England mills, remember that similar patterns of structural development can be found in other regions of the United States and that the basic forms of the textile factory were readily adapted for other types of industry, including the manufacture of wood, metal, and paper products. Factories were not the first industrial buildings in America, nor did they represent more capital expenditure than some of the early and costly ironworks. Two processes of textile manufacturing and finishing, the carding of fibers and the fulling of woven cloth, had been powered by waterwheels (and occasionally by draft animals) before the first successful factory was built in Pawtucket in 1793. Proprietors of shops and country mills usually operated their enterprises directly with little of the managerial hierarchy and division of labor that would appear in the full-blown factory system. Shops lacked the factory’s sequential organization of powered machinery and its extensive mechanization through multiple stages of production.
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"A FINE PLACE FOR PAPER MAKING:." In Most Wonderful Machine. Princeton University Press, 2019. http://dx.doi.org/10.2307/j.ctv8pz9mw.8.
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Gordon, Robert B. "Artisan-Entrepreneurs." In A Landscape Transformed. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780195128185.003.0008.
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The adventurers and colonial investors who initiated ironrnaking in the Salisbury district hired artisans to run bloomery forges and make products such as nails and hardware needed by settlers in the new lands. Within a few years artisan-proprietors began making these products in their own forges (see chap. 3). Then a new generation of entrepreneurs with both artisanal and managerial skills began making and selling sophisticated products to distant as well as local customers. New opportunities in the iron trade opened for them in the years before the Revolution. As they exploited these, they transformed the region’s ironmaking into a key component of the colonial industrial economy. In 1739 Richard Seymour, a Hartford smith, started ironmaking in East Canaan by building a bloomery forge on the Blackberry River. He smelted iron ore from the recently-opened mine at Ore Hill and forged products needed by the area’s settlers. A few years later he took on John Forbes, also a smith from Hartford, as a partner. Forbes’s sons, Samuel and Elisha, learned smithing from their father and the art of bloom smelting from Seymour. By 1760 they had transformed the business from one serving a local market to industrial production by expanding sales throughout southern New England and concentrating on specialized products such as sawmill gudgeons and cranks, gristmill spindles and rinds, clothiers’ screws for fulling mills, spindles for paper mills, screws for paper presses, gears, ship’s anchors weighing up to a thousand pounds, bellows pipes, logging chains, gun barrels, forge trip hammers, and nail rod. To meet the growing demand for their products, the Forbes brothers built a second bloomery forge in Canaan in 1759 and another in Norfolk in 1760; in 1761 they purchased a share in the Chatfield ore bed near Ore Hill, first opened in 1740. In 1760 they were selling forgings and mill machinery to customers throughout southern New England. They joined Allen and Hazeltine in building the region’s first blast furnace, opened a general store in East Canaan, and built grist and cider mills.
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"CHAPTER 2. ZENAS CRANE'S BAGGAGE: THE PAPER-MAKING TRADITION, 1801-1820." In Most Wonderful Machine. Princeton University Press, 2019. http://dx.doi.org/10.1515/9780691194646-007.
Full textConference papers on the topic "Paper-making machinery"
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Al-ani, M. M. J., S. P. Lee, and J. M. Allport. "Integrated Electrical Machine-Turbo Machinery." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63429.
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Global warming and climate change due to rising levels of greenhouse gases have placed significant pressure on the automobile industry to adopt more clean fuel, transportation electrification, and waste energy recovery technologies. As a result, several electrically assisted or driven turbo-machines have been proposed such as turbochargers, turbo-compressors, and electrical boosters. Therefore, the electrification of turbo-machinery has been trending for the past decade. All the systems mentioned above consist of a conventional electrical machine connected to the turbo-machinery by a shaft, making the system relatively large, heavy, costly and mechanically complex. In this paper, an integrated electrical machine-turbo machinery concept is proposed. It consists of an electrical machine mounted around a salient rotor that is shaped like an axial flow turbo-machinery wheel. The electrical machine can be used as a motor to drive or assist the operation of the turbo-machine or it can operate as a generator powered by the gas or fluid flow. Compared to the conventional electrically derived or assisted turbo-machine systems, the proposed system is expected to decrease the overall size, weight and complexity. In order to illustrate this concept, an initial multi-physics feasibility study is presented. Electromagnetic and mechanical, performance are calculated and investigated using FEA. Additionally, aerodynamic consideration has been illustrated.
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Hui, Kar Hoou, Meng Hee Lim, and Salman Leong. "Dempster-Shafer-Based Sensor Fusion Approach for Machinery Fault Diagnosis." In ASME 2017 Power Conference Joint With ICOPE-17 collocated with the ASME 2017 11th International Conference on Energy Sustainability, the ASME 2017 15th International Conference on Fuel Cell Science, Engineering and Technology, and the ASME 2017 Nuclear Forum. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/power-icope2017-3715.
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Artificial intelligence (AI) has played an increasingly important role in condition monitoring and machinery fault diagnosis in power generation plants. However, the accuracy and reliability of any AI-based machinery fault diagnosis is highly dependent on the quality and quantity of the input data fed to the AI model. The hypothesis of this paper is that AI-based fault diagnosis can be further improved by taking into account all the available sensor inputs of the machine. In short, the more sensor inputs fed into the AI model, the more accurate and reliable the outcome of the fault diagnosis. This paper proposes an application of Dempster-Shafer (DS) evidence theory for sensor fusion to improve the accuracy of decision-making in machinery fault diagnosis, by fusing all the available vibration signals measured on different axes and locations of the test machine. Vibration signals from different axes and locations of a machinery faults simulator were collected by multiple accelerometers simulating various machinery health conditions, namely healthy, unbalance, misalignment and foundation looseness. The accuracy of fault diagnosis using a different number of sensor inputs was then investigated. Analysis results showed that by combining more sensor inputs using a DS-based algorithm can improve fault detection accuracy from an average of 63% to 83%. In conclusion, the multi-sensor fusion algorithm can be applied to increase the accuracy and reliability of AI-based fault diagnosis.
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Bernstein, William Z., Devarajan Ramanujan, Mikko Koho, Fu Zhao, and Karthik Ramani. "Discovering Material Recovery Scenarios for Industrial Machinery: A Case-Based Approach." In ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/msec2012-7306.
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Decision-making methodologies for evaluating a product’s end-of-life options have become a significant area of research. Extensive work has been carried out in the area of product recovery, e.g. module-based disassemblability, reverse logistics, remanufacturing, material recyclability, among others. Some of these methods use graphical representations in the form of disassembly trees and/or networks to find feasible solutions with computational approaches, but have not been made applicable to larger, more complex electrohydraulic mechanical systems. The work presented in this paper aims to apply a disassembly assessment technique by comparing a component’s disassembly effort to a reward such as recycling value or energy recovery from recycling. First, the disassembly network is represented by a directed graph where weighted edges represent reward/cost. Next, an implementation of Dijkstra’s algorithm is used to compute the optimal disassembly path that minimizes the sum of the edge weights. Lastly, the optimal disassembly paths for each individual reward are compared to discover the globally optimal disassembly scenario. This method is applied to a real-world case study of an underground mining drill rig with direct contributions from engineers involved in the development of the machine itself. Specific component recovery options are recommended based on the methodology and alternative design practices are suggested to improve product recyclability.
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Lysaker, Henning, Morten Kjeldsen, and Roger E. A. Arndt. "Mapping of Hydraulic Model Dynamics Using Transient Operating Conditions." In ASME 2002 Joint U.S.-European Fluids Engineering Division Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/fedsm2002-31312.
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This paper reviews the issue of making unsteady measurements involving cavitating flow in traditional test loops. Transients were applied to a model turbine, including both ramping in time of wicket gate movement and time dependent variations of model test loop system pressure. These actions allowed a continuous change of parameters such as reduced flow rate and cavitation index as a function of time. By the use of Joint Time Frequency Analysis (JTFA) techniques mappings of the dynamics of stationary hydrofoils and rotating machinery can be compared. The objective of this study to investigate whether transient operation would allow a rapid mapping of dynamic for different operation points. Special attention was given to the requirements for controlling the machinery in a manner that allows such experiments to be possible. This paper reports results of so-called ramping tests and compares the results with data obtained by traditional means.
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Badarinath, Rakshith, Kai-Wen Tien, and Vittaldas Prabhu. "Unified Control of Production, Capacity, and Pre-Emptive Maintenance of Fused Filament Fabrication Process." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6641.
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The quest for smarter manufacturing is motivating the need for operational decisions to be made in real-time to adapt to uncertainties. Prevailing decision-making techniques typically consider each manufacturing function in isolation to reduce the complexity, which in turn leads to sequential decision-making where prior decisions become constraints for subsequent decisions. This paper proposes a unified approach for simultaneously controlling the timing of production events, the timing of maintenance events, and physical processing capacity. Moreover, the control algorithms can be fully distributed and exploit physics-based models for processes and remaining-useful-life of machinery components in real-time decision-making. Fused Filament Fabrication (FFF) additive manufacturing process is used as an example in the paper to demonstrate the unified approach. Dynamics of the resulting unified control system is modeled using non-linear discontinuous differential equations. Computer simulations are used to illustrate dynamic interactions between production and maintenance functions. Benchmarking of the unified control approach for randomly generated datasets show superior performance compared to other commonly used scheduling heuristics by about 48%.
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Mauricio, Alexandre, Dustin Helm, Markus Timusk, Jerome Antoni, and Konstantinos Gryllias. "Novel Cyclo-Non-Stationary Indicators for Monitoring of Rotating Machinery Operating Under Speed and Load Varying Conditions." In ASME Turbo Expo 2020: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/gt2020-15245.
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Abstract Condition monitoring arises as a valuable industrial process in order to assess the health of rotating machinery, providing early and accurate warning of potential failures and allowing for the planning and effective realization of preventative maintenance actions. Nowadays machinery (gas turbines, wind turbines etc.) manufacturers adopt new business models, providing not only the equipment itself but additionally taking on responsibilities of condition monitoring, by embedding sensors and health monitoring systems within each unit and prompting maintenance actions when necessary. Among others, rolling element bearings are one of the most critical components in rotating machinery. In complex machines the failure indications of an early bearing damage are weak compared to other sources of excitations (e.g. gears, shafts, rotors etc.). Vibration analysis is most widely used and various methods have been proposed, including analysis in the time and frequency domain. In a number of applications, changes in the operating conditions (speed/load) influence the vibration sources and change the frequency and amplitude characteristics of the vibroacoustic signature, making them nonstationary. Under changing environments, where speed and load vary, the assumption of quasi-stationary is not appropriate and as a result a number of time-frequency and time-order representations have been introduced, such as the Short Time Fourier Transform and the Wavelets. Recently an emerging interest has been focused on modelling rotating machinery signals as cyclostationary, which is a particular class of non-stationary stochastic processes. The classical cyclostationary tools, such as the Cyclic Spectral Correlation Density (CSCD) and the Cyclic Modulation Spectrum (CMS), can be used in order to extract interesting information about the cyclic behavior of cyclostationary signals, only under the assumption that the speed of machinery is constant or nearly constant. Global diagnostic indicators have been proposed as a measure of cyclostationarity under steady operating conditions. In order to overcome this limitation a generalization of both SCD and CMS functions have been proposed displaying cyclic Order versus Frequency as well as diagnostic indicators of cyclo-non-stationarity in order to cover the speed varying operating conditions. The scope of this paper is to propose a novel approach for the analysis of cyclo-non-stationary signals based on the generalization of indicators of cyclo-non-stationarity in order to cover the simultaneous and independently varying speed and load operating conditions. The effectiveness of the approach is evaluated on simulated and real signals captured on a dedicated test rig.
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Metwalli, Sayed M., M. Alaa E. Radwan, Osama Abdel-Wehab, Owaise Shalaby, Youssria A. Moussa, and Yasser A. Hosni. "Maintenance and Parts Fabrication by Reverse Engineering." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/cie-9134.
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Abstract With the collapse of the Eastern block, once Egypt’s major industry supplier for machinery and spare parts, and the lack of skilled manpower, the Egyptian industry is finding it difficult to maintain its machinery and industrial base and to compete with the much more sophisticated and coordinated industries abroad. The cutoff of supply of maintenance parts from the Eastern Block, prompt the use of modern reverse engineering (RE) methods in the capturing the geometrical configuration and fabrication of rare maintenance parts, in support of the Egyptian Industry. This paper demonstrates, as a proof of concept, the use of the technology of RE in the fabrication of parts. The success of the experiment initiated a much wider application to the technology, that of patterns making in support of the casting industry. This will provide an accurate and expeditious means to properly maintain industrial plants and produce compatible spare pails urgently needed.
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Salleh, H., N. M. Rashid, and K. A. Wahib. "Harvesting Vibration From Rotating Machinery as a Power Source for a Wireless Sensor Node." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13187.
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The wireless sensor device which uses battery can cause problems when the wireless nodes are large in number and when the nodes are placed in the difficult area to access. Therefore, it is advantageous for the sensor node to be capable of extracting energy from the environment, making it self-powered, self-sustaining and lowering overall cost of the wireless network. Improvement in integrated circuit (IC) technology has made the overall power consumption of circuit very small which leads to a very promising application of the vibration-based energy harvester micro power generator (VEHM). This paper discusses on some practical design considerations in harvesting vibration from rotating machinery to power up a wireless sensor node. It also focuses on the effect of shape of the VEHM on its power output. These parameters are actually important as part of the key design parameters in harvesting the vibration from ambient. The energy harvester is made of piezoelectric bimorph bender materials poling in series to transform ambient vibrations into electrical energy. The power output for the VEHM made of single and multiple array of PZT bimorph bender are investigated and the effect of triangular and the rectangular PZT bimorph bender are compared. Two sets of VEHM device have been tested to work in the range of 50 Hz–110 Hz to power up a wireless sensor node for condition monitoring application. The experimental results are presented and compared to the previous similar work. It is found that the triangular shape bender generates more power compared to rectangular form whether it is single or multiple connected in series. Testing results proved that triangular VEHM of the same volume and fundamental frequency when compared to rectangular VEHM can improve the overall power generated by the generator.
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Ramachandran, Madhumitha, and Zahed Siddique. "Statistical Time Domain Feature Based Approach to Assess the Performance Degradation of Rotary Seals." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-87857.
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In oil and gas industry, machineries and mechanical components are designed with high reliability to meet the demand of the oil field. Rotating machinery is a widely used equipment and any failure of critical components within the machinery could lead to delays and large expenses. Failure of rotary seal is one of the foremost causes of breakdown in rotary machinery and such a failure can affect the other process operations in oil and gas plants. Assessing seal degradation and severity estimation are very important for maintenance decision-making. Extracting meaningful and sensitive features that can show seal degradation from raw signals is a challenging task of degradation assessment. However, no extensive works are dedicated in this area of seals. In this paper, we perform accelerated aging and testing to capture the behavior of seals through their cycle of operation and demonstrated a statistical time domain feature based approach for extracting the sensitive features that can show seal degradation. Out of eleven statistical features extracted, seven extracted features such as mean, RMS, maximum, squared mean rooted absolute amplitude, impulse factor, crest factor, margin factor are found to be significant factors which have a potential to differentiate severity levels in seals. The findings from our work show that our approach has a potential to assess the severity in seals. As a possible extension, extracted features can be used to build a classification model to classify severity in seals which could be of great interest to the users and manufacturers of rotary seals.
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Wang, Dong, Qiang Miao, Chengdong Wang, and Jingqi Xiong. "Automatic Condition Monitoring and Early Fault Detection of Gearbox." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86469.
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Condition based maintenance (CBM) improves decision-making performances for a maintenance program through machinery condition monitoring. Therefore, it is a key step to trace machinery health condition for CBM. In this paper, a novel method is proposed to establish a health evaluation index named automatic evaluation index (AEI) and its corresponding dynamic threshold using Wavelet Packet Transform (WPT) and Hidden Markolv Model (HMM). In this process, WPT is used to decompose signal into detail signals and exhibits prominent gear fault features. In addition, HMM employed here is to recognize two concerned states of gear in the whole life validation, including normal gear state and early gear fault state. It is also important to build a dynamic threshold to differentiate the two states automatically. The proposed dynamic threshold not only renews by itself according to the history values of AEI but also easily and automatically detects occurrence of gear early fault. Finally, a set of whole life time data ending in gear failure is used to verify the proposed method effectively. Further, some related parameters included in this method are discussed and the obtained results show that condition monitoring performance of the proposed method is excellent in detection of gear failure.