Relevant bibliographies by topics / Mechanical filter

Contents

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

Academic literature on the topic 'Mechanical filter'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Mechanical filter"

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Xie, Wei, Yuesheng Fan, Junwei Yu, Xin Zhang, and Pengfei Si. "Feature analysis of indoor particulate matter concentration using fiber filtration for mechanical ventilation." Journal of Engineered Fibers and Fabrics 15 (January 2020): 155892501989896. http://dx.doi.org/10.1177/1558925019898960.

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Experiments and theoretical analyses are conducted in an office in Xi’an to study indoor particle concentration through establishing a mass balance equation and real-time monitoring. Meanwhile, the filtration efficiencies for different grades of filter media have been tested and verified by experiments. Studies are conducted on indoor particulate emission source and concentration change in combination with equation of linear regression, linear fitting curve of indoor–outdoor concentration, as well as indoor concentration decay profile. The results indicate that coarse filters G1 to G4 are used in mechanical ventilation to filter larger particles. However, it can only achieve 1.6%–15.2% for PM2.5 filtration efficiency. On the other hand, F7 to H10 filters could reach the high efficiency of 55.6%–69.7%. Furthermore, indoor PM2.5 concentration with a coarse filter using G4 filter can obviously reduce the indoor particulate concentration to 69–75 μg/m3. It ranges from 87 to 90 μg/m3 using a G3 filter, while the outdoor PM2.5 concentration is 135–150 μg/m3.
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Lu, Feng, Yafan Wang, Jinquan Huang, Yihuan Huang, and Xiaojie Qiu. "Fusing unscented Kalman filter for performance monitoring and fault accommodation in gas turbine." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 232, no. 3 (December 12, 2016): 556–70. http://dx.doi.org/10.1177/0954410016682269.

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The Kalman filter is widely utilized for gas turbine health monitoring due to its simplicity, robustness, and suitability for real-time implementations. The most common Kalman filter for linear systems is linearized Kalman filter, and for nonlinear systems are extended Kalman filter and unscented Kalman filter. These algorithms have proven their capabilities to estimate gas turbine performance variations with a good accuracy, and the studies are done provided that all sensor measurements are available. In this paper, a nonlinear fusion approach with consistent diagnostic mechanism based on unscented Kalman filter is proposed, especially for gas turbine performance monitoring in the case of sensor failure. The architecture of fusion method comprises a set of local unscented Kalman filters and an information mixer. The local unscented Kalman filters are utilized to estimate health parameters of various component combinations, and the results are then transferred to the mixer for the integrated estimation of global health state in fusion structure. The consistent fault diagnosis and isolation logic is designed based on the fusion architecture and combined with the fusing unscented Kalman filter, called an improved fusing unscented Kalman filter. A systematic comparison of the generic linearized Kalman filter, extended Kalman filter, and unscented Kalman filter to their fusion filter kinds is presented for engine health estimation of gradual deterioration and abrupt fault. The studies show that the fusing unscented Kalman filter evidently outperforms the fusing linearized Kalman filter and fusing extended Kalman filter, while the fusing Kalman filters have slightly better estimation accuracy than the basic Kalman filters. In addition, the proposed methodology can reach the reliable performance monitoring with measurement uncertainty while the conventional Kalman filters collapse.
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Johnson, Robert A. "Mechanical filter with acoustic sensing." Journal of the Acoustical Society of America 81, no. 6 (June 1987): 2002. http://dx.doi.org/10.1121/1.394738.

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Toporkov, D. K., and B. B. Wojtsekhowski. "Mechanical filter for alkali atoms." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 444, no. 3 (April 2000): 631–34. http://dx.doi.org/10.1016/s0168-9002(99)01174-2.

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Sherratt, Anthony, Christopher T. DeGroot, Anthony G. Straatman, and Domenico Santoro. "A numerical approach for determining the resistance of fine mesh filters." Transactions of the Canadian Society for Mechanical Engineering 43, no. 2 (June 1, 2019): 221–29. http://dx.doi.org/10.1139/tcsme-2018-0071.

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Characterizing the resistance of mesh filters, in terms of pressure drop as a function of flow velocity, is an important part of modeling any filtration process. Most commonly, filters are characterized experimentally, which can be costly and time-consuming. This motivates a generalized numerical approach for characterizing the resistance of mesh filters based on the flow through a representative segment of a filter. There is uncertainty, however, in the correct specification of boundary conditions such that the numerical results for flow through the small segment match the overall behaviour of the filter. In this work, an experimentally validated numerical approach is developed by examining the velocity and turbulence intensity experienced across the filter. It has been shown that the flow resistance results are not sensitive to the turbulence intensity, but depend greatly on the imposed flow velocity. Specifying the peak velocity as the boundary condition in the filter simulations resulted in a good match with experiments, while using the bulk velocity did not reproduce the experimental results.
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Koláček, Stanislav, and Michal Černý. "Latest aspects of mechanical filtration." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 5 (2013): 1535–42. http://dx.doi.org/10.11118/actaun201361051535.

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The aim of this study was to describe and unify all knowledge about mechanic filtration. The first part deals with the parameters and properties of filtration. Here some important basic concepts are explained such as pressure gradient, filter life, etc. There’s also a description of convenient filtration technology for coarse and fine materials, such as sand, smoke or soot. The second part primarily focuses on the real use and application of filters for liquid and gaseous media. The differences in construction between different types of filters for filtration of fuels, oils, hydraulic fluids, air and cabin filters are described. The last section is focused mainly on new materials for the production of filters. These materials are ceramic or nanomaterials, which can actually be enriched for example with antibacterial silver or some fungicides.
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Ji, Hui, Songlin Nie, and Yeqing Huang. "An interval-fuzzy two-stage stochastic programming method for filter management of hydraulic systems." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 229, no. 15 (December 9, 2014): 2788–809. http://dx.doi.org/10.1177/0954406214563737.

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An interval-fuzzy two-stage stochastic programming model for filter management of hydraulic system under uncertainties is proposed in this paper. The interval-fuzzy two-stage stochastic programming model integrates the two-stage stochastic programming, fuzzy programming, and interval parameter nonlinear programming into an optimization model of contamination control in hydraulic system. For a typical hydraulic system, it can be used for expressing the uncertainties existed in the purchase cost of filters, contamination ingression and generation rates, and contamination-holding capacity as probability functions, interval numbers, and fuzzy sets. The developed method is applied to examining the decisions on the adoption of bypass filter and selection of filters within multi-segments, multi-period, and multi-option context. All potential scenarios of filters management policy associated with different economic penalties, objectives, and reliability of system are analyzed. The results of the illustrative example show that the reasonable solutions are generated, including binary and continuous variables which help the decision maker identify optimal strategies for filter allocation and selection, planning the adoption of bypass filter under different working conditions.
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Chen, Lei. "Notch Filter Design with GUIDE." Advanced Materials Research 347-353 (October 2011): 1917–21. http://dx.doi.org/10.4028/www.scientific.net/amr.347-353.1917.

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Because of the mechanical construction, wind turbine control algorithm should contain notch filters to avoid pitch action at 3P and 6P. Using the interface of notch filter design and analysis based on GUIDE, the characteristics and simulation results can be displayed at the same time. The whole process from design to simulation is achieved. The development of notch filter in wind turbine control becomes easy.
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Kelly, Wayne, Donald Grant, and Joseph Zahka. "Optimization of Filter Properties for Recirculating Etch Baths." Journal of the IEST 43, no. 3 (June 14, 2000): 30–40. http://dx.doi.org/10.17764/jiet.43.3.72574h1883p177u4.

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Membrane filters are often used to remove small particles from liquids in recirculating etch baths (REBs). The ideal filter for this application would have both high particle capture efficiency and high flow permeability. Unfortunately, filters with high particle capture efficiency often have low permeability because the dominant particle capture mechanism is mechanical sieving. This paper describes more efficient capture mechanisms, interception and diffusion, and a filter with a surface modified to capture particles by these mechanisms. The filter has the same permeability as a conventional 0.45-μm filter and retains particles more efficiently than a conventional 0.05-μm filter. The filter is capable of removing multiple types of small (0.065-μm) particles (polystyrene latex, silicon nitride, alumina, etc.) with high efficiency (> 99.9 percent).
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Valenti, Michael. "Filtering for a Lift." Mechanical Engineering 121, no. 11 (November 1, 1999): 56–58. http://dx.doi.org/10.1115/1.1999-nov-1.

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This article analyses systems to treat spent machining fluids, which improve productivity by cutting downtime and extending performance life. Machine tool operators are extending the life of their grinding wheels as much as 10 times by processing spent machining coolants with Hydroflow's Star Filter system. Hydroflow Inc., Salem, NH, markets a vacuum-based Star Filter system that provides a large filter area in a relatively small space for industrial applications requiring high flow rate filtration. Hydroflow's engineers designed the Star Filter to compete with rotary drum vacuum filters, which also provide large filter areas in compact space. Machining line operators use the Star Filter as a standalone, central filtration system. Either Hydroflow or the local contractor connects the system to machine tools so the used fluid will pass through baffles in the Star Filter that reduce the fluid's velocity. The successful inaugural installation of the small-scale HTF system at Twin City has opened opportunities for the filtration system in other die casting facilities.
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Dissertations / Theses on the topic "Mechanical filter"

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Boehm, Kevin (Kevin W. ). "An improved visualization of diesel particulate filter/." Thesis, Massachusetts Institute of Technology, 2011. http://hdl.handle.net/1721.1/69502.

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Thesis (S.B.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2011.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 39).
The prevalence of diesel particulate filters (DPF) is increasing as emissions standards worldwide evolve to match current technologies. Since the first application of DPFs in the 1980's, PM trapping effectiveness has increased by orders of magnitude. During the filter's use phase, it is subject to multiple cycles of particulate matter trapping and regeneration. The soot particles are combusted in the high temperatures; however, metal additives referred to as ash, primarily from lubricants, remain behind and restrict exhaust flow. Further ash accumulation causes a pressure drop across the filter and necessitates replacement in order to maintain fuel economy and engine performance. Research into more efficient DPF designs and geometries examines current limitations with the goal of emitting cleaning emissions and extending DPF use. In order to gain a better understanding of PM trapping and regeneration and acquire real-time feedback, an improved visualization method of DPF is required. For that method, powder glass frit was applied between the filter and glass window and heated to form a bond. After the heating process, the bond strength was measured to determine optimal heating cycles and surface conditions for the glass seal. The experimental results were examined to measure the success of the bonding method relative to previous research using alternative methods. The ability to test and observe ash accumulation in different DPF designs will contribute to the understanding of PM trapping.
by Kevin Boehm.
S.B.
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Stancil, Byron Miguel 1976. "Design of a programmable filter for macromolecules." Thesis, Massachusetts Institute of Technology, 2002. http://hdl.handle.net/1721.1/89371.

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Lipson, Ariel. "A tunable micro-electro-mechanical optical filter in silicon." Thesis, Imperial College London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441291.

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Walter, Sandra L. "Optimizing the efficiency and filter area of the SurgiBox Environmental System by redistributing effective media area across filter length." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/127866.

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Thesis: S.B., Massachusetts Institute of Technology, Department of Mechanical Engineering, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (page 46).
Across the globe, billions of people lack access to safe surgery. SurgiBox is working to lower that number by creating a portable surgical environment for patients in need. To do this, they are working to improve their air filtration system by better utilizing filter media to create a more efficient system. To help SurgiBox achieve this goal, Solidworks Flow Simulation Models were created and analysed to determine what parameters would be necessary to achieve a goal of a uniform velocity profile while meeting volumetric flow rate specifications. These models show that it is possible to achieve a uniform velocity distribution by using filters with varied resistances to air flow. It was found that, neglecting edge effects, the pressure drops (at a defined velocity) of the filter follow a linear trend across the length of the filter. However, these models also show that edge effects lead to significant air flow inconsistencies revealing that if these edge effects are not addressed, the system may quickly fall out of specification. Numerically generated "ideal" system centerline velocity and pressure curves were created to be used as comparative tools while conducting experiments on the SurgiBox system. These, in combination with the SolidWorks models will inform design changes to the SurgiBox system and help the SurgiBox team quantitativly assess the quality of their designs.
by Sandra L. Walter.
S.B.
S.B. Massachusetts Institute of Technology, Department of Mechanical Engineering
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Custer, Nicholas C. "Ash impacts on gasoline particulate filter performance and service life." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100142.

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Thesis: S.M. in Mechanical Engineering, and S.M in Naval Architecture and Marine Engineering, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2015.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 71-74).
New regulations in the United States and Europe, designed to address climate change concerns by reducing greenhouse gas emissions, are causing increased use of gasoline direct-injection (GDI) engines in light-duty vehicles (LDV). Separate new regulations that aim to reduce particulate emissions to address air pollution concerns are taking effect concurrent with greenhouse gas limitations in both jurisdictions. GDI engines are proven to create more particulate emissions than previously utilized port-injection technology. Increasing particulate emissions rates combined with falling regulatory particulate emissions limits requires new strategies to reduce these emissions from gasoline powered LDVs. Particulate filters have been successfully implemented to reduce particulate emissions from diesel engine exhaust for over a decade. Diesel particulate filters have a demonstrated filtration efficiency of 95% or greater and have reduced diesel particulate mass (PM) emissions by one to two orders of magnitude. GDI engines require no more than one order of magnitude reduction in particulate emissions to meet new regulations. Existing particulate filter technology in use in diesel vehicles is capable of reducing GDI engine emissions to new regulatory levels; however, it is proposed that these reduction may be achievable through means other than gasoline particulate filters (GPF). A GPF will create an additional back-pressure in the engine exhaust system that will reduce engine power and efficiency. This backpressure will increase as PM is trapped in the filter and decrease as combustible PM removed. A buildup of incombustible ash present in engine-out PM will increase the baseline backpressure of the filter during the course of its service life. It is important to understand the impact of ash on the filter pressure drop performance before implementing GPF to meet new emissions regulations. This study builds on existing diesel particulate filter technology and demonstrates through experimental results the mechanisms by which ash increases GPF pressure drop. Ash deposits are also shown to increase the light-off temperature of three-way catalyst coatings in GPF.
by Nicholas C. Custer.
S.M. in Mechanical Engineering, and S.M in Naval Architecture and Marine Engineering
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Wang, Qiang. "FILTER PERFORMANCE UNDER SIMULATED REAL-WORLD CONDITIONS." VCU Scholars Compass, 2016. http://scholarscompass.vcu.edu/etd/4464.

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Evaluating the performance of filter media for filtration applications is essential to assure design engineers and users that filter device will deliver promised performance for specific applications under the environmental stress. The study of particle loading characteristics of filter media in the laboratory setting is typically performed under the steady flow conditions, i.e., at the constant particle concentration and flow rate. In reality, filtration products are operated under the situations that the flow rate and mass concentration of particles are varied in time. The success of translating the laboratory data to estimate the performance of filter media in the fields is thus limited. It is necessary to investigate the performance of filter media under the real-world conditions, i.e., unsteady flow rate and mass concentration to bridge the gap. The overall goals of this research are (1) to study the performance of filter medium under unsteady conditions (i.e., the performance of respirator filter media under simulated breathing conditions); and (2) to investigate the issue of non-uniform particle deposition on HVAC filter panels. A new experimental setup was developed to accomplish the former goal. Numerical modeling tool, Computational fluid dynamics (CFD), was applied to achieve the latter objective……
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Beatty, Reinhard. "Notch filter control of magnetic bearings to improve rotor synchronous response." Thesis, Massachusetts Institute of Technology, 1988. http://hdl.handle.net/1721.1/37485.

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Monahan, Gregory James. "Characterizing ash properties and effects on Diesel Particulate Filter flow resistance." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104140.

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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 98-99).
As a result of increasingly stringent emissions regulations, Diesel Particulate Filters (DPF) have become a widespread method of reducing particulate emissions in both on and off highway diesel engine use. This particular aftertreatment system is chosen for its high filtration efficiency and relative simplicity. The porous ceramic substrate captures the particulate matter which is comprised of combustible soot and inorganic metallic ash. While the soot can be cleared from the filter through high temperature oxidation, the small amount of ash remains in the filter. The presence of these soot and ash particles creates an increase in the flow resistance of the filter which creates more backpressure on the engine and results in a decrease in fuel economy. Over the life of the filter, the ash particles become a significant portion of particulate matter in the filter and the resulting flow resistance. While the effects of ash and soot on filter performance have been extensively studied, the underlying deposition mechanisms and effects of various ash properties are not well understood. The focus of this research is to investigate the effects of ash properties such as packing density and chemistry on the flow resistance of both the ash cake layer and the filter substrate. The results of this and other research can support the optimization of operating conditions, regeneration strategies, and lubricant additive formulations for decreased system backpressure. Additionally, this research seeks to develop and improve advanced diagnostic tools in order to bridge the gap between macro scale quantifiable flow resistance and micro scale deposition characteristics. Using both high resolution X-Ray CT imaging and flow simulation tools, a method is tested by which values for ash and filter permeability can be calculated to investigate local micro scale filter phenomena or various lab and field samples.
by Gregory James Monahan.
S.M.
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Kassakian, Peter William. "Audio denoising using wavelet filter banks aimed at real-time application." Thesis, Massachusetts Institute of Technology, 1999. http://hdl.handle.net/1721.1/80508.

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Fowler, William Mark. "Experimental validation of the inverse structural filter force estimation technique." Thesis, Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/17264.

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Books on the topic "Mechanical filter"

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Guay, Alain. Do mechanical filters provide a good approximation of business cycles? Ottawa: Bank of Canada, 1996.

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Patterson, James D. Micro-mechanical voltage tunable Fabry-Perot filters formed in (111) silicon. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Patterson, James D. Micro-mechanical voltage tunable Fabry-Perot filters formed in (111) silicon. Washington, D.C: National Aeronautics and Space Administration, 1997.

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Patterson, James D. Micro-mechanical voltage tunable Fabry-Perot filters formed in (111) silicon. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1997.

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Shenoy, Aroon V. Rheology of Filled Polymer Systems. Dordrecht: Springer Netherlands, 1999.

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Heunecke, Otto. Zur Identifikation und Verifikation von Deformationsprozessen mittels adaptiver KALMAN-Filterung (Hannoversches Filter). Hannover: Fachrichtung Vermessungswesen der Universität Hannover, 1995.

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Design of foam-filled structures. 2nd ed. Lancaster, Pa: Technomic Pub. Co., 1991.

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Needle felts in gas and dust filtration: The design of mechanically-bonded filters. Chichester: Ellis Horwood, 1987.

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Benedict, Terry J. An advanced study of natural convection immersion cooling of 3 x 3 array of simulated components in an enclosure filled with dielectric liquid. Monterey, California: Naval Postgraduate School, 1988.

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Smith, Timothy Stephen. Influence of processing on the mechanical properties of a flame retardent filled polymer blend. Uxbridge: Brunel University, 1988.

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Book chapters on the topic "Mechanical filter"

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Dohare, Deepti. "Groundwater Recharge Using Artificial Filter Mechanism." In Computational and Experimental Methods in Mechanical Engineering, 333–47. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2857-3_33.

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Sunil Kumar, T., and Punithavathi Duraiswamy. "Optimization of Kalman Filter for Target Tracking Applications." In Lecture Notes in Mechanical Engineering, 203–12. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5432-2_17.

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Gowtham, P., S. Sowndarya, and Nikhil Pachauri. "Simulated Annealing Optimized Low-Pass FIR Filter for Biomedical Signals." In Advances in Mechanical Engineering, 741–48. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0942-8_71.

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Zoljic-Beglerovic, Selma, Bernd Luber, Georg Stettinger, Gabor Müller, and Martin Horn. "Parameter Identification for Railway Suspension Systems Using Cubature Kalman Filter." In Lecture Notes in Mechanical Engineering, 128–32. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-38077-9_15.

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Abdul Aziz, Nor Hidayati, Zuwairie Ibrahim, Nor Azlina Ab Aziz, Badaruddin Muhammad, Tasiransurini Ab Rahman, Mohd Saberi Mohamad, and Suhazri Amrin Rahmad. "Parameter Tuning in the Single-Solution Simulated Kalman Filter Optimizer." In Lecture Notes in Mechanical Engineering, 48–56. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9539-0_5.

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Zhou, Qi, Chaoqun Wu, Weijing Zhao, Weijie Hua, and Linghao Liu. "A Novel Auto Design Method of Acoustic Filter Based on Genetic Programming." In Advances in Mechanical Design, 661–90. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6553-8_45.

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Dong, Guangming, Jin Chen, and Ying Ming. "Feature Extraction Based on Cyclic Adaptive Filter for Gearbox Fault Diagnosis." In Lecture Notes in Mechanical Engineering, 175–87. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15536-4_15.

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Aravind Shanmuga Sundaram, M., and Bishakh Bhattacharya. "Earthenware Water Filter: A Double Edged Sustainable Design Concept for India." In Lecture Notes in Mechanical Engineering, 1421–31. India: Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1050-4_114.

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Li, Ying, Lei Cui, and Zhe Zhang. "Research and Simulation on Pilot Configuration in Multi-antenna System Based on Kalman Filter." In Advances in Mechanical Design, 371–79. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-32-9941-2_31.

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Sarkar, Indranil, Ritwik Raman, K. Jayanth, Aatmesh Jain, and K. C. Vora. "Characterization of Soot Microstructure for Diesel and Biodiesel Using Diesel Particulate Filter." In Lecture Notes in Mechanical Engineering, 153–61. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2718-6_16.

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Conference papers on the topic "Mechanical filter"

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Sahay, Chittaranjan, Suhash Ghosh, Joseph Daniel Premkumar, and Siva Pooja Ramachandran. "Effect of Filter Type and Filter Size on Roundness/Circularity Measurement Using Different Mathematical Algorithms." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23575.

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Abstract In the manufacturing industry, it is almost inconceivable to produce a rotating component without a minimal amount of roundness tolerance. The importance of studying roundness form deviations of circular and cylindrical features is to avoid the excessive lateral or axial runout deviations of the rotating and reciprocating parts during dynamic operations. Considering the precision that industries require now and will require in the future, the authors of this article have chosen roundness (also called circularity per ASME Standards) as the measurable parameter. In order to arrive at precise results, the roundness of a near-to-perfect cylinder is measured on an accurate spindle and turn-table type measuring instrument. Roundness profile, when measured, can be filtered in various ways to reduce or eliminate unwanted details, with a cut-off value set in terms of undulations per revolution (UPR), which gives valuable information about how the component may function, under specific conditions. Looking at real-life roundness graphs it is clear that information exists in the data at different frequencies. A classic example is ovality, which indicates an irregularity that occurs two times in one complete revolution. The workpiece would be said to have two lobes or two UPR. Multiple lobes may be present on a component, a condition contributing to either problems of fit with mating components or part functionality. Additionally, usage of recommended or generalized filter, yields data that approximately lies in the range of acceptability. Thus, there is a strong need to thoroughly understand the effect of filter size and type on roundness (form error for fit) and part functionality. Many published articles have investigated novel filters to accurately and efficiently calculate roundness. However, no work was found in literature that would present the filter size and type selection criteria and correlate it with roundness depending on mathematical method of calculating roundness and further to part functionality. This paper focusses on the investigation of filter type and size effect on roundness based on different mathematical methods of roundness error calculations. By varying parameters like the filter type (Gaussian 50%, 75% and RC Filters), the filter sizes (1 through 500 UPR) and the methods of measuring the roundness — (Least Squares Circle (LSC), Minimum Circumscribed Circle (MCC), Maximum Inscribed Circle (MIC) and Minimum Zone Circles or Separation (MZC or MZS)), roundness at different heights of the workpiece is evaluated. A clear trend is observed from the results, which can further help one to choose filters and their respective sizes for the respective design intent or the application in question.
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Schoen, Marco P., Bhag Singh Kelwant Kaur, Sinchai Chinvorarat, and Chien-Hsun Kuo. "Predictive Intelligent Filter Design in Signal Processing Using AR and ARMA Models." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-59585.

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The design of filters for the prediction of signals has been a widely studied field. For some of the applications, more accurate and further reaching algorithms are necessary. For example, in the prediction of irregular waves for wave energy converters, an accurate prediction of wave height and velocity are important in order to maximize the converter’s efficiency. This paper presents three prediction filters for such an application. The first algorithm is based on a simple autoregressive (AR) model and a standard least-squares estimation scheme. The second proposed filter is based on an autoregressive moving average (ARMA) model. The third filter is a fixed horizon predictive filter based on an AR structure, using a Genetic Algorithm to estimate its prediction parameters. All proposed algorithms are simulated using a Pierson-Moskowitz spectrum representing wind speeds of 30 knot.
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Gu, Patrick, and Xin Wang. "Single Machine Infinite Bus Power System Control With Resilient Extended Kalman Filter." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-50289.

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The Extended Kalman Filter is commonly used as a non-linear estimator for engineering practices. However, the Extended Kalman Filter’s performance degrades or may even become unstable when the measurement data becomes inaccurate through random measurement failures, which is a widespread problem in many data-intensive control applications. To address this issue, the paper proposes an improved Extended Kalman Filter which is resilient against sensor failures. This work focuses on the Resilient Extended Kalman Filter’s derivation with its application to the single generator infinite bus power system. The sensor failure rate is modeled as a Binomial distribution with a known mean value. The performance of the proposed Resilient Extended Kalman Filter is compared with the traditional Extended Kalman Filter under various chances of sensor failures.
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Zhang, Zilong, and C. Steve Suh. "A Novel Nonlinear Time-Frequency Control Strategy for Underactuated Mechanical System." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10778.

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Abstract In this paper, a novel nonlinear time-frequency control methodology is presented to address the stabilization of an underactuated surface vessel (USV). The wavelet-domain based time-frequency control technique augmented by the adaptive filters and filtered-x least-mean-square algorithm is employed as the primary control framework. A nonlinear three degrees-of-freedom planar dynamic model for the USV with only two available control inputs is considered in the study. The equations of motion are derived based on the Newton’s Second law of motion. By using wavelet transform and filter banks, the proposed nonlinear control algorithm requires no mathematical simplification or linearization of the physical system, thus retaining all the true nonlinear dynamics of the USV model. The presented nonlinear controller consists of two adaptive finite impulse response (FIR) filers that operate on wavelet coefficients: the first one is used to model the dynamic system on-line and provide a priori information in real-time while the second one serves as a feed-forward controller and rejects the uncontrollable input signal based on the first FIR filter. The proposed nonlinear time-frequency controller properly mitigates dynamical deterioration in both the time and frequency domains and regulates the system response with the desired stability. Numerical simulations are performed in MATLAB Simulink and the results validate the effectiveness of the proposed nonlinear time-frequency control approach.
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Marshall, Lauren, Adam Schroeder, and Brian Trease. "Comparing Fish-Inspired Ram Filters for Collection of Harmful Algae." In ASME 2018 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/imece2018-88797.

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In this work, several different bioinspired filter geometries are proposed, fabricated, and tested in a flow tank. A novel approach is explored that mimics how filter-feeding fish efficiently remove small food particles from water. These filters generally take the form of a cone with water entering the large end of the cone and exiting through mesh-covered slots in the side of the cone, which emulates the rib structure of these filter-feeding fish. The flow in and around the filters is characterized and their ability to collect algae-scale, neutrally-buoyant particles is evaluated. Filter performance is evaluated by using image processing to count the number of particles collected and studying how the particles are deposited on the filter. Results are presented in the form of particle collection efficiencies, which is a ratio of particles collected to the particles that would nominally enter the filter inlet, and images of the fluorescent particles deposited on the filter at different time intervals. The results show little sensitivity to the filters’ inlet geometries, which was the major difference between filters tested. Comparative results are also presented from a 2D CFD model of the filters generated in COMSOL. The different geometries may differentiate themselves more at larger Reynolds numbers, and it is believed that a fluid exit ratio, or ratio of inlet area to exit area, is the most critical filter parameter. Field testing has demonstrated collection of real algae (i) with this bioinspired filter, and (ii) from a robot platform, but using a more conventional plankton net. The larger vision is to develop these filters and mount them on a swarm of autonomous surface vehicles, i.e. a robot boat swarm, which is being developed in parallel.
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Krishnamoorthy, C., K. C. Ravi, S. Yao, and F. W. Chambers. "Computational Investigation of Backward-Facing Step Flow Preceding a Porous Medium." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-11228.

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Optimal performance of air filters and heat exchangers requires uniform inlet flow, but flow separation produces nonuniformity. The backward-facing step flow has a separation resembling those found in industrial flows. Flow resistance of the devices is a parameter which alters upstream pressure gradients, thereby affecting separation and device performance. Air filters often are modeled as porous media using an extended Darcy Law. The present work applied Computational Fluid Dynamics (CFD) to examine the changes in the step flow resulting from the resistance of a downstream air filter. Computations were performed for a backward-facing step with a 2:1 expansion ratio for a case without a filter (reattachment at ∼6 step heights) and for filters located 4.25 and 6.75 step heights downstream. FLUENT commercial CFD software was used and results were compared to many no-filter case results in the literature and our own experimental studies for the step with downstream filters. The simulations were performed for Reynolds numbers based on approach channel mean velocity and hydraulic diameter of 2000, 3750, 6550 and 10000. The different turbulence models available in FLUENT were evaluated and the Realizable k-ε model was used for the final computations. Grid independence studies were conducted. The effects of different values of the filter modeling permeability, inertial constant and thickness also were investigated for Re = 10000 with the filter at 4.25 step heights. It was found that the computational results did not compare well to no-filter cases or the experiments with filters at the lower Reynolds numbers. It is believed that the turbulence models were unsuitable for these flows at transitional Reynolds numbers. Good agreement for no-filter results and for the experiments with filters was observed for Re = 10,000. The CFD model seems to capture the physics of the separation better at the higher Reynolds numbers. The CFD velocity profiles at Re = 10,000 with the filters agree with those of the experiments. When the filter is placed at 4.25 step heights, the flow reattaches upstream of the filter with a reduction in recirculation area. When the filter is at 6.75 step heights, the separated flow tends to reattach and the opposite side tends to separate. At Re = 10,000 and the filter at 4.25 step heights, the variations of porous medium permeability, inertial constant and the filter thickness have negligible effects on the recirculation region over the parameter ranges considered.
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Stephanou, Philip J., Gianluca Piazza, Carolyn D. White, Muthu B. J. Wijesundara, and Albert P. Pisano. "Piezoelectric Thin Film AlN Annular Dual Contour Mode Bandpass Filter." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-81679.

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The following work presents the analytical, numerical and experimental characterization of a novel piezoelectric Aluminum Nitride MEMS bandpass filter. In contrast to multipole filters employing distinct mechanically or electrically coupled resonator building blocks, the passband of the device in the present work is defined by the proximity of two natural contour modes of vibration in a single annular resonator. The proposed implementation, albeit currently limited to dual-pole filters, results in smaller form factors and reduces device sensitivity to across wafer fabrication tolerances.
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Toporkov, Dmitrij, and Bogdan Wojtsekhowski. "Mechanical filter for alkali atoms." In The seventh international workshop on polarized gas targets and polarized beams. AIP, 1998. http://dx.doi.org/10.1063/1.55039.

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Gadda, Christopher D., Shad M. Laws, and J. Christian Gerdes. "Robust Fault Detection Filter Design With Applications to Steer-by-Wire Vehicles." In ASME 2007 International Mechanical Engineering Congress and Exposition. ASMEDC, 2007. http://dx.doi.org/10.1115/imece2007-42623.

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This paper presents a method for designing robust, model-based fault detection filters for linear systems with bounded parametric uncertainty. The approach maximizes the theoretical channel capacity of the system and diagnostic filter together, regarding the fault condition as an input to a hypothetical communication channel and the resulting residual as the output, with sensor noise, disturbances, and system input as sources of interference. This results in a robust residual that is both sensitive to faults and insensitive to noise and disturbances. The effectiveness of the technique is demonstrated in the design of a fault detection filter for use with a diagnostic system for a steer-by-wire vehicle.
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Schoen, Marco P. "Dynamic Compensation of Intelligent Sensors." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-42275.

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Commercial sensors have generally, due to their own characteristics, some undesirable influences on the measured quantity and its precision. In particular, the dynamic characteristics can be reflected on to the measured quantity and lead to false or delayed interpretation of the underlying physical process. The quality and therefore the cost of the sensor is often tied with the dynamic performance of these instruments. Intelligent sensors are able to adapt to changing environments, calibrate themselves, and predict the pattern of the future signal. This paper presents algorithms to improve the dynamic performance of sensors, identify the dynamic characteristics of the sensor, and to predict the future pattern of the measured quantity. In particular, two inverse filters are proposed for the improvement of the sensors dynamic performance. One filter incorporates an optimal constant feedback gain that reduces the computational cost and increases the accuracy. A system identification method is used to identify the sensor’s dynamic properties and allows for adaptation of the inverse filter’s parameters. This identification algorithm computes the optimum input to the system i.e. the sensor. The optimization is based on the inverse correlation matrix of the information matrix. A genetic algorithm is used to perform both optimizations, for the computation of the optimal input, and for the optimal constant feedback gain. In addition, a predictive filter formulation is given that is based on the identified system. Simulation results indicate that both inverse filters are capable of recovering the original or true signal. The second filter shows superiority in terms of convergence, lower computational cost, and lower error due to its optimized parameters. The predictive filter indicates good working accuracy for the signal prediction.
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Reports on the topic "Mechanical filter"

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De Crescenzi, Maurizio. 3D Carbon Nanotube Networks as Mechanical, Electrical and Photovoltaic Transducer and Superhydrophobic Filter. Fort Belvoir, VA: Defense Technical Information Center, June 2015. http://dx.doi.org/10.21236/ada621229.

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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), June 2021. http://dx.doi.org/10.21079/11681/41042.

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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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Balazs, Anna C., and David Jasnow. Modeling Polymers Containing Rod-Like Fillers: From Morphology to Mechanical Behavior. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada427553.

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Montgomery, Stephen Tedford. Effects of composition on the mechanical response of alumina-filled epoxy. Office of Scientific and Technical Information (OSTI), October 2009. http://dx.doi.org/10.2172/974404.

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Evans, Roger, John G. Bennett, and Jack Jones. Software to Convert Mechanical Desktop Solid Models into Facet Files for Input to Xpatch. Fort Belvoir, VA: Defense Technical Information Center, January 1999. http://dx.doi.org/10.21236/ada454902.

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Palermo, Michael R., and Paul A. Zappi. Evaluation of Loading and Dredged Material Overflow from Mechanically Filled Hopper Barges in Mobile Bay, Alabama. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada226868.

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LOUKAKOS, P. A., E. STRATAKIS, G. D. TSIBIDIS, D. GRAY, M. BARBEROGLOU, and C. FOTAKIS. Abstract- Blends of Natural Rubber/Styrene Butadiene Rubber (NR/SBR) loaded with different ratios of N220 carbon black filler were prepared. The mechanical properties of pure blends and those loaded with different ratios of carbon black were investigated. Edited by Lotfia Elnai and Ramy Mawad. Journal of Modern trends in physics research, December 2014. http://dx.doi.org/10.19138/mtpr/(14)42-54.

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Mechanical analysis of a cross flow filter. Final report, January 31, 1995. Office of Scientific and Technical Information (OSTI), December 1998. http://dx.doi.org/10.2172/589254.

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AN EXPERIMENTAL STUDY ON MECHANICAL PROPERTIES OF CONCRETE-FILLED STEEL TUBE (CFST) KEY-CONNECTED PREFABRICATED WALL AND COLUMN. The Hong Kong Institute of Steel Construction, September 2020. http://dx.doi.org/10.18057/ijasc.2020.16.3.2.

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MECHANICAL BEHAVIORS OF SIDE-PLATE JOINT BETWEEN WALLED CONCRETE-FILLED STEEL TUBULAR COLUMN AND H-SHAPED STEEL BEAM. The Hong Kong Institute of Steel Construction, December 2020. http://dx.doi.org/10.18057/ijasc.2020.16.4.7.

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