Relevant bibliographies by topics / Cylindricity Tolerance

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Cylindricity Tolerance'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Cylindricity Tolerance"

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Chahbouni, Mouhssine, Said Boutahari, and Driss Amegouz. "Influence of form deviations on the tolerance analysis." International Journal of Engineering & Technology 3, no. 3 (July 13, 2014): 343. http://dx.doi.org/10.14419/ijet.v3i3.2969.

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The objective of this paper is to present the influence of form deviations on the tolerance analysis of an assembly. For this we will study initially the tolerance analysis using the deviations and clearances domains method, a second time we will integrate the influence of form tolerances on the allowable deviation domain. To illustrate this analysis we used a classical assembly with position and form tolerances (coaxiality and cylindricity). Finally a comparative study between the two cases was illustrated. Keywords:Tolerance Analysis, CAD/CAM, Assembly Systems, Engineering Drawings.
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Weihua, Ni, and Yao Zhenqiang. "Integrating cylindricity error into tolerance analysis of precision rotary assemblies using Jacobian–Torsor model." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 227, no. 11 (February 1, 2013): 2517–30. http://dx.doi.org/10.1177/0954406213475553.

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In this study, the cylindricity error was integrated into the tolerance analysis of precision rotary assemblies using Jacobian–Torsor model. The contact method was developed to rapidly determine the actual fitting clearance through the virtual assembling of the mating cylindrical parts using Monte Carlo simulation. By modifying the expressions of small displacement torsors of the cylinder pairs, the actual fitting clearance between the bore and the shaft was taken into account, which overcame the shortage of Jacobian–Torsor model that the form error cannot be processed. The effects of the cylindricity error and the number of lobes on the actual fitting clearance and the functional requirements were analyzed in detail. The results show that the cylindricity error has significant influence on the actual fitting clearance and the final functional requirements, and it should not be ignored in the tolerance analysis for precision rotary assemblies.
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Weihua, Ni, and Yao Zhenqiang. "Cylindricity modeling and tolerance analysis for cylindrical components." International Journal of Advanced Manufacturing Technology 64, no. 5-8 (April 5, 2012): 867–74. http://dx.doi.org/10.1007/s00170-012-4078-3.

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Abbassi, Amira, Ali Trabelsi, Sofien Akrichi, and Noureddine Ben Yahia. "Assessment of cylindricity and roughness tolerances of holes drilled in marble using multiple regression and artificial intelligence." Advances in Mechanical Engineering 13, no. 8 (August 2021): 168781402110406. http://dx.doi.org/10.1177/16878140211040647.

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The Calacatta-Carrara marble is widely used due to its excellent physico-chemical characteristics and attractive aspect. However, the sensitivity of this materiel, when performing delicate manufacturing operations, presents for the engineers a hard challenge to overcome. This issue is mainly encountered with complex shapes of parts, for which it is difficult to preserve surface integrity and avoid geometric defects. The paper aims at finding out optimal drilling parameters of cutting in the Calacatta-Carrara white marble material, in order to minimize the holes cylindricity (HC) and surface roughness (HR) using six controlled operating factors, namely, the rotation speed ( N), the feed speed ( F), the drill bit diameter (BD), the drill bit height (BH), the number of pecking cycles ( P), and the drilling depth (DD). The experimental design uses a [Formula: see text] fractional factorial plan that is replicated once for cost consideration. The optimization process, that is, minimum cylindricity and roughness tolerances, is carried out using the Gray Relational Analysis (GRA) technique. Numerical modeling of machining parameters is performed using Multi-Layer Perceptron Artificial Neural Network (MLP ANN) and Multiple Regression Model (MR) to predict surface quality. For the sake of completeness these two models were compared in terms of fitness and predictability. The models were assessed statistically using the correlation coefficient. Results showed that either solution predicts a roughness tolerance which is in good agreement with the test data (both R-sq.(adj.) and R-sq.(pred.) >94%). However, the holes cylindricity tolerance response was shown to be superior with MLP-ANN model (R-sq.(adj.) 50.64% and R-sq.(pred.) 48.67%). The GRA analysis shows that minimum cylindricity and roughness are met when N and F are set high, BD and BH low, P high and DD low.
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Singaravel, B., Chimmalagi Marulaswami, and Thangiah Selvaraj. "Analysis of the Effect of Process Parameters for Circularity and Cylindricity Errors in Turning Process." Applied Mechanics and Materials 852 (September 2016): 255–59. http://dx.doi.org/10.4028/www.scientific.net/amm.852.255.

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Turning is one of the fundamental machining operations and its process parameters leads to better machining performance. The economic benefit of turning operation is providing components with appropriate dimensional accuracy. In this work, the effects of process parameters on dimensional accuracy (circularity and cylindricity) parameters are analyzed in turning of EN25 steel. The process parameters considered are cutting speed, feed rate and depth of cut in order to minimize circularity and cylindricity. The result revealed that the minimum dimensional accuracy error values such as circularity and cylindricity are obtained in the combination of higher value of cutting speed and lower value of feed rate and depth of cut. This analysis is used to meet the machined work piece within the tolerance limit and improve the quality criteria.
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Ariyanto, Ariyanto, and Husman Husman. "Pengukuran Kesilindrisan Hasil Proses Pemotongan Mesin Bubut Untuk Mengetahui Kemampuan Mesin Menghasilkan Suatu Produk." Manutech : Jurnal Teknologi Manufaktur 10, no. 02 (May 17, 2019): 9–13. http://dx.doi.org/10.33504/manutech.v10i02.61.

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The ability of machine tools to produce a product of good quality is needed by the industrial industry that exists today. Industrial industries that use machine tools are not only industries that produce products in the form of a tool or machine, machine tools are also widely used by industries or institutions that serve machine repair and providers of skills training. The quality of the machine measured using the geometry of the workpiece resulting from the machining process can be in the form of roundness, cylindrecity, tapers and other geometric shapes. The use of machine tools that continue for several years can result in a decrease in the ability of the machine to produce a product. The use of a long horizontal doall lt13 lathe will produce a form of workpiece cylindricity that is not the same as the condition of the the new machine tools, therefore testing activities are carried out by cutting the machine and seeing what the cylindrical value of the specimen is capable of achieving . From the results of the testing that has been carried out on a horizontal lathe as many as eight units, the values of cylindrical difference are different for each machine. The highest value of cylindricity is produced by lathes with machine number 8 and the smallest cylindrical value produced by lathes with machine number 3. The greatest tolerance is achieved in the quality of IT (international tolerance) 11 tolerance and the lowest is achieved in IT tolerance quality 10.
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Endrias, Dawit H., and Hsi-Yung Feng. "Minimum-Zone Form Tolerance Evaluation Using Rigid-Body Coordinate Transformation." Journal of Computing and Information Science in Engineering 3, no. 1 (March 1, 2003): 31–38. http://dx.doi.org/10.1115/1.1565075.

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This paper presents an optimization approach for the accurate evaluation of minimum-zone form tolerances from discrete coordinate measurement data. The approach minimizes the minimum-deviation objective function defined as the difference between the maximum and minimum distances of the measured coordinate data from the reference feature. The objective function is formulated as a function of rigid-body coordinate transformation parameters and involves fewer independent parameters than the existing tolerance evaluation algorithms. As a result, improved convergence efficiency and numerical stability are achieved. A standard direct search algorithm, the downhill simplex search algorithm, is employed to minimize the objective function. The least-squares estimates are employed as good initial conditions to facilitate convergence to the global solutions. A new method, named as the Median Technique, is implemented to well center the circularity measured data and well align the cylindricity measured data in order to provide valid least-squares estimates based on the Limacon approximation. Results from simulation and comparative studies have shown that the proposed method evaluates minimum-zone form tolerances with reliable accuracy.
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Zheng, Hong. "Non-Contact Online Detection of Concentricity Error." Applied Mechanics and Materials 733 (February 2015): 611–14. http://dx.doi.org/10.4028/www.scientific.net/amm.733.611.

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This paper researches on the non-contact online detection of concentricity error, which mainly focus on the structural principle of the measurement system and the concentricity error evaluation methods. The paper using the method of projection, converting the three-dimensional model to a two-dimensional model and evaluating coaxially error. And it is validated by the simulation of MATLAB. In theory, the proposed measurement system can measure geometric tolerance, including coaxially error, cylindricity error, circularity error, etc.
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Chen, Qianyong, Jinghua Xu, and Shuyou Zhang. "Cylindricity and flatness optimization for mechanical parts in additive manufacturing based on tolerance adaptive slicing." International Journal of Advanced Manufacturing Technology 115, no. 11-12 (June 11, 2021): 3839–57. http://dx.doi.org/10.1007/s00170-021-07271-4.

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Tóth, František, Juraj Rusnák, Milan Kadnár, and Pavol Čavojský. "Effect of Selected Ecological Lubricants on the Wear of Defined Sliding Bearing." Acta Technologica Agriculturae 17, no. 1 (March 1, 2014): 13–16. http://dx.doi.org/10.2478/ata-2014-0003.

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Abstract The presented contribution deals with the comparison of selected ecological oils of the same viscosity class in terms of wear of the sliding bearing B 60 M4 as part of the matched sliding pair lubricated by ecological lubricant. The wear of the sliding bearing is monitored using the parameters; the change of geometric tolerance cylindricity having the most indicative capability about the size and location of wear. The second parameter is weight loss, and the third parameter is the change of surface roughness at the contact point of friction elements. Results are statistically processed and presented in the form of graphs and tables.
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Dissertations / Theses on the topic "Cylindricity Tolerance"

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PARTHASARATHY, NAVITHA. "MINIMUM ZONE CYLINDRICITY EVALUATION USING STEEPEST DESCENT METHOD." University of Cincinnati / OhioLINK, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1093005770.

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Lee, Keun Joo. "Geometric Tolerancing of Cylindricity Utilizing Support Vector Regression." Scholarly Repository, 2009. http://scholarlyrepository.miami.edu/oa_theses/233.

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In the age where quick turn around time and high speed manufacturing methods are becoming more important, quality assurance is a consistent bottleneck in production. With the development of cheap and fast computer hardware, it has become viable to use machine vision for the collection of data points from a machined part. The generation of these large sample points have necessitated a need for a comprehensive algorithm that will be able to provide accurate results while being computationally efficient. Current established methods are least-squares (LSQ) and non-linear programming (NLP). The LSQ method is often deemed too inaccurate and is prone to providing bad results, while the NLP method is computationally taxing. A novel method of using support vector regression (SVR) to solve the NP-hard problem of cylindricity of machined parts is proposed. This method was evaluated against LSQ and NLP in both accuracy and CPU processing time. An open-source, user-modifiable programming package was developed to test the model. Analysis of test results show the novel SVR algorithm to be a viable alternative in exploring different methods of cylindricity in real-world manufacturing.
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Book chapters on the topic "Cylindricity Tolerance"

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Abbassi, Amira, Sofien Akrichi, and Noureddine Ben Yahia. "Application of Artificial Intelligence to Predict Circularity and Cylindricity Tolerances of Holes Drilled on Marble." In Advances in Mechanical Engineering and Mechanics, 128–34. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19781-0_16.

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Conference papers on the topic "Cylindricity Tolerance"

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Ghosh, Suhash, Chittaranjan Sahay, and Poorna Pruthvi Chandra Malempati. "Effect of Measuring Instrument Eccentricity and Tilt Error on Circularity Form Error." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-11937.

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Abstract From power stations to power tools, from the smallest watch to the largest car, all contain round components. In precision machining of cylindrical parts, the measurement and evaluation of roundness (also called circularity in ASME Geometric Dimensioning & Tolerancing Y14.5) and cylindricity are indispensable components to quantify form tolerance. Of all the methods of measuring these form errors, the most precise is the one with accurate spindle/turntable type measuring instrument. On the instrument, the component is rotated on a highly accurate spindle which provides an imaginary circular datum. The workpiece axis is aligned with the axis of the spindle by means of a centering and tilt adjustment leveling table. In this article, the authors have investigated the dependence of circularity form error on instrument’s centering error (also known as eccentricity) and tilt error. It would be intriguing to map this nonlinear relationship within its effective boundaries and to investigate the limits beyond which the measurement costs and time remain no more efficient. In this study, a test part with different circular and cylindrical features were studied with varying levels of predetermined instrument eccentricity and tilt errors. Additionally, this article explores the significance of incorporating these parameters into undergraduate and graduate engineering curricula, and be taught as an improved toolkit to the aspiring engineers, process engineers and quality control professionals.
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Gou, J. B., Y. X. Chu, H. Wu, and Z. X. Li. "A Geometric Theory for Formulation of Form, Profile and Orientation Tolerances: Problem Formulation." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dfm-5743.

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Abstract This paper develops a geometric theory which unifies the formulation and evaluation of form (straightness, flatness, cylindricity and circularity), profile and orientation tolerances stipulated in ANSI Y14.5M standard. In the paper, based on an an important observation that a toleranced feature exhibits a symmetry subgroup G0 under the action of the Euclidean group, SE(3), we identify the configuration space of a toleranced (or a symmetric) feature with the homogeneous space SE(3)/G0 of the Euclidean group. Geometric properties of SE(3)/G0, especially its exponential coordinates carried over from that of SE(3), are analyzed. We show that all cases of form, profile and orientation tolerances can be formulated as a minimization or constrained minimization problem on the space SE(3)/G0, with G0 being the symmetry subgroup of the underlying feature. We transform the non-differentiable minimization problem into a differentiable minimization problem over an extended configuration space. Using geometric properties of SE(3)/G0, we derive a sequence of linear programming problems whose solutions can be used to approximate the minimum zone solutions.
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Tootooni, M. Samie, Ashley Dsouza, Ryan Donovan, Prahalad K. Rao, Zhenyu (James) Kong, and Peter Borgesen. "Assessing the Geometric Integrity of Additive Manufactured Parts From Point Cloud Data Using Spectral Graph Theoretic Sparse Representation-Based Classification." In ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/msec2017-2794.

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This work proposes a novel approach for geometric integrity assessment of additive manufactured (AM, 3D printed) components, exemplified by acrylonitrile butadiene styrene (ABS) polymer parts made using fused filament fabrication (FFF) process. The following two research questions are addressed in this paper: (1) what is the effect of FFF process parameters, specifically, infill percentage (If) and extrusion temperature (Te) on geometric integrity of ABS parts?; and (2) what approach is required to differentiate AM parts with respect to their geometric integrity based on sparse sampling from a large (∼ 2 million data points) laser-scanned point cloud dataset? To answer the first question, ABS parts are produced by varying two FFF parameters, namely, infill percentage (If) and extrusion temperature (Te) through design of experiments. The part geometric integrity is assessed with respect to key geometric dimensioning and tolerancing (GD&T) features, such as flatness, circularity, cylindricity, root mean square deviation, and in-tolerance percentage. These GD&T parameters are obtained by laser scanning of the FFF parts. Concurrently, coordinate measurements of the part geometry in the form of 3D point cloud data is also acquired. Through response surface statistical analysis of this experimental data it was found that discrimination of geometric integrity between FFF parts based on GD&T parameters and process inputs alone was unsatisfactory (regression R2 < 50%). This directly motivates the second question. Accordingly, a data-driven analytical approach is proposed to classify the geometric integrity of FFF parts using minimal number (< 2% of total) of laser-scanned 3D point cloud data. The approach uses spectral graph theoretic Laplacian eigenvalues extracted from the 3D point cloud data in conjunction with a modeling framework called sparse representation to classify FFF part quality contingent on the geometric integrity. The practical outcome of this work is a method that can quickly classify the part geometric integrity with minimal point cloud data and high classification fidelity (F-score > 95%), which bypasses tedious coordinate measurement.
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Hawkes, Grant L. "Cylindricity Sensitivity Thermal Model of the AGR-5/6/7 Experiment in the Advanced Test Reactor." In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23329.

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Abstract The AGR-5/6/7 experiment is currently being irradiated in the Advanced Test Reactor (ATR) at the Idaho National Laboratory and is approximately 70% complete. Several fuel and material irradiation experiments have been planned for the U.S. Department of Energy Advanced Gas Reactor Fuel Development and Qualification Program, which supports the development and qualification of tristructural isotropic (TRISO)-coated particle fuel for use in high-temperature gas-cooled reactors. The goals of these experiments are to provide irradiation performance data to support fuel process development, qualify fuel for normal operating conditions, support development of fuel performance models and codes, and provide irradiated fuel and materials for post-irradiation examination and safety testing. Originally planned and named as separate fuel experiments, but subsequently combined into a single test train, AGR-5/6/7 is testing low-enriched uranium oxycarbide TRISO fuel. The AGR-5/6/7 test train has five capsules with thermocouples and independent gas control mixtures. Unique to this paper is a sensitivity study concerning the cylindricity of the graphite holders containing the fuel compacts and their eccentricity in relation to the stainless-steel capsule walls. Each capsule has small nubs on the outside used for centering the graphite holder inside the stainless-steel capsule with a small gas gap used to control temperature. Due to machining tolerances of these nubs, and vibration wearing the nubs down when the experiment is running in the reactor, the possibility exists that the holder may move around radially. Each capsule is equipped with several thermocouples placed at various radii and depths within each graphite holder. This paper will show the sensitivity of offsetting the graphite holder for various radii in 45-degree increments around the circle with the objective of minimizing the difference between the measured thermocouples and the modeled thermocouple temperatures. Separate gas mixtures of helium/neon are introduced into this gas gap between the holder and capsule wall and changed as necessary to maintain the desired thermocouple temperatures to keep the fuel compacts at a constant temperature as the nuclear reactor conditions change. The goal of the sensitivity study is to find a radius and an angle to offset the holder from perfectly centered for each of the five capsules separately. The complex thermal model includes fission heating, gamma heating, radiation heat transfer, and heat transfer via conduction and radiation across the control gaps. Subroutines linked to the thermal model offer an easy method to offset the graphite holder from the capsule walls without remeshing the entire model.
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