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Relevant bibliographies by topics / Worst case tolerance stackup

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Academic literature on the topic 'Worst case tolerance stackup'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Worst case tolerance stackup"

1

Feng, Chang-Xue (Jack), and Andrew Kusiak. "Robust Tolerance Synthesis With the Design of Experiments Approach." Journal of Manufacturing Science and Engineering 122, no. 3 (May 1, 1999): 520–28. http://dx.doi.org/10.1115/1.1285860.

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Design of tolerances impacts quality, cost, and cycle time of a product. Most literature on deterministic tolerance design has focused on developing exact and heuristic algorithms to minimize manufacturing cost. Some research has been published on probabilistic tolerance synthesis and optimization. This paper presents the design of experiments (DOE) approach for concurrent selection of component tolerances and the corresponding manufacturing processes. The objective is to minimize the variation of tolerance stackups. Numerical examples illustrate the methodology. The Monte Carlo simulation approach is used to obtain component tolerances and tolerance stackups. Process shift, the worst case and root sum square tolerance stackup constraints, and setup reduction constraints have been incorporated into the proposed methodology. Benefits of the proposed DOE approach over exact algorithms are discussed. [S1087-1357(00)00202-1]

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2

Greenwood, W. H., and K. W. Chase. "Worst Case Tolerance Analysis with Nonlinear Problems." Journal of Engineering for Industry 110, no. 3 (August 1, 1988): 232–35. http://dx.doi.org/10.1115/1.3187874.

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When designers assign tolerances on engineering drawings, they have a significant influence on the resulting cost and producibility of manufactured products. A rational basis for assigning tolerances involves constructing mathematical models of tolerance accumulation in assemblies of parts. However, tolerance stacks in two or three-dimensional problems or other nonlinear assembly functions may distort the resultant assembly tolerances, altering the range and symmetry. An iterative method is described for adjusting the nominal dimensions of the component parts such that the specified assembly limits are not violated.

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3

Budiwantoro, Bagus, Indra Djodikusumo, and Ade Ramdan. "ANALYSIS OF GEOMETRICAL SPECIFICATION IN DECANTER CENTRIFUGE MACHINE." ASEAN Engineering Journal 8, no. 2 (December 1, 2018): 29–47. http://dx.doi.org/10.11113/aej.v8.15501.

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A decanter centrifuge machine has been developed and currently at a complete stage of a preliminary 3D design layout. The next phase is a production phase. In the production phase, an ideal component that is identical with the 3D model will never be realized. Every manufacturing process has unavoidable variations. If they are accumulated, they can be immense and may cause serious problems. The machine may fail. Thus, the analysis of geometry specification is necessary to be conducted. The main objective of this study is to design the geometry specification which includes their tolerance to assure that the machine will work and achieve its performance, considering variation in manufacturing process. The study consists of four stages, they are: (1) reviewing the 3D design layout, (2) identifying functional key characteristics, (3) analyzing each requirement to determine the geometric dimensioning and tolerancing schemes and (4) allocating tolerances. Every scheme was built through six steps, establish the performance requirements, draw a loop diagram, converting dimension to mean dimension, calculate mean value with stack tolerance, determine the method of tolerance analysis and calculate the variation of performance requirements. The tolerance analysis uses the worst case and statistical methods. They involve 45 fixed tolerances and 38 variable tolerances. The calculated variation data output of every requirement is elaborated to finalize tolerance value that will meet all requirements. Finally, the final tolerance values are allocated and set to component geometry. This analysis concludes that every final tolerance of variable tolerance values must be tighter for the worst case method, and only 42% for statistical method. Probability of machine will work and achieve its performance is 100% for the worst case method and 99.73% for the statistical method.

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Mansuy, Mathieu, Max Giordano, and Pascal Hernandez. "A new calculation method for the worst case tolerance analysis and synthesis in stack-type assemblies." Computer-Aided Design 43, no. 9 (September 2011): 1118–25. http://dx.doi.org/10.1016/j.cad.2011.04.010.

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Lee, Woo-Jong, and T. C. Woo. "Tolerances: Their Analysis and Synthesis." Journal of Engineering for Industry 112, no. 2 (May 1, 1990): 113–21. http://dx.doi.org/10.1115/1.2899553.

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Tolerance, representing a permissible variation of a dimension in an engineering drawing, is synthesized by considering assembly stack-up conditions based on manufacturing cost minimization. A random variable and its standard deviation are associated with a dimension and its tolerance. This probabilistic approach makes it possible to perform trade-off between performance and tolerance rather than the worst case analysis as it is commonly practiced. Tolerance (stack-up) analysis, as an inner loop in the overall algorithm for tolerance synthesis, is performed by approximating the volume under the multivariate probability density function constrained by nonlinear stack-up conditions with a convex polytope. This approximation makes use of the notion of reliability index [10] in structural safety. Consequently, the probabilistic optimization problem for tolerance synthesis is simplified into a deterministic nonlinear programming problem. An algorithm is then developed and is proven to converge to the global optimum through an investigation of the monotonic relations among tolerance, the reliability index, and cost. Examples from the implementation of the algorithm are given.

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Tsai, Jinn-Tsong. "An evolutionary approach for worst-case tolerance design." Engineering Applications of Artificial Intelligence 25, no. 5 (August 2012): 917–25. http://dx.doi.org/10.1016/j.engappai.2012.03.015.

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Wei Tian, Xie-Ting Ling, and Ruey-Wen Liu. "Novel methods for circuit worst-case tolerance analysis." IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications 43, no. 4 (April 1996): 272–78. http://dx.doi.org/10.1109/81.488806.

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Petrone, G., G. Spagnuolo, and M. Vitelli. "Worst Case Tolerance Analysis in Static Field Problems." IEEE Transactions on Magnetics 40, no. 2 (March 2004): 366–70. http://dx.doi.org/10.1109/tmag.2004.824098.

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Yu, Mei Qiong, Yan Yan, Jia Hao, and Guo Xin Wang. "A Nonlinear Tolerance Analysis Method Using Worst-Case and Matlab." Advanced Materials Research 201-203 (February 2011): 247–52. http://dx.doi.org/10.4028/www.scientific.net/amr.201-203.247.

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The tolerance analysis methods are usually used to test the result of product design and assembly; moreover the tolerance analysis also is a fundamental technique in precision design process. So far, there are two kinds of tolerance analysis methods: statistical tolerance analysis and worst-case analysis; they have their own characteristics and drawbacks. In this paper, it presents a nonlinear tolerance analysis method which uses Matlab tool to construct the nonlinear tolerance analysis mathematical formulation and calculate the result of nonlinear tolerance analysis based on the principle of worst-case tolerance analysis. All the processes are dealt with and tested by computer. The engineers only enter some basic parameters through the standardized interface, and then the result can be obtained without artificial intervention. In addition, the accuracy of calculation result meets the production requirement. The system of the nonlinear tolerance analysis is easier for engineers to use.

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Hsueh, Chun-Che, Psang Dain Lin, and Jose Sasian. "Worst-case-based methodology for tolerance analysis and tolerance allocation of optical systems." Applied Optics 49, no. 31 (October 29, 2010): 6179. http://dx.doi.org/10.1364/ao.49.006179.

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Dissertations / Theses on the topic "Worst case tolerance stackup"

1

MUSA, RAMI ADNAN. "SIMULATION-BASED TOLERANCE STACKUP ANALYSIS IN MACHINING." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1060975896.

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Cakir, Sinan. "Tolerance Based Reliability Of An Analog Electric Circuit." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12612929/index.pdf.

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This thesis deals with the reliability analysis of a fuel pump driver circuit (FPDC), which regulates the amount of fuel pumped to a turbojet engine. Reliability analysis in such critical circuits has great importance since unexpected failures may cause serious financial loss and even human death. In this study, two types of reliability analysis are used: &ldquo
Worst Case Circuit Tolerance Analysis&rdquo
(WCCTA) and &ldquo
Failure Modes and Effects Analysis&rdquo
(FMEA). WCCTA involves the analysis of the circuit operation under varying parameters in their tolerance bands. These parameters include the resistances of the resistors, operating temperature and voltage input value. The operation of FPDC is checked and the most critical parameters are determined in the worst case conditions. While performing WCCTA, a method that guarantees the exact worst case conditions is used rather than probabilistic methods like Monte Carlo analysis. The results showed that the parameter variations do not affect the circuit operation unfavorably
operating temperature, voltage input variation and tolerance bands for the resistances are fairly compatible with the circuit operation. FMEA is implemented according to the short circuit and open circuit failures of all the electronic components used in FPDC. The components whose failure has catastrophic effect on the circuit operation have been determined and some preventive actions have been offered for some catastrophic failures.

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Books on the topic "Worst case tolerance stackup"

1

Johanson, Brian. Worst case circuit analysis application guidelines. Rome, NY (P.O. Box 4700, Rome 13442-4700): The Center, 1993.

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2

Drake, Paul J. Dimensioning and Tolerancing Handbook. McGraw-Hill Professional, 1999.

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Dimensioning and Tolerancing Handbook. McGraw-Hill Professional, 1999.

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Book chapters on the topic "Worst case tolerance stackup"

1

"Worst-case Tolerance Stackups." In Mechanical Tolerance Stackup and Analysis, 61–104. CRC Press, 2004. http://dx.doi.org/10.1201/9780203021194.ch7.

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"Worst-case Tolerance Stackups." In Mechanical Tolerance Stackup and Analysis, 68–106. CRC Press, 2004. http://dx.doi.org/10.1201/9780203021194-11.

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"Worst-Case Tolerance Analysis." In Mechanical Tolerance Stackup and Analysis, Second Edition, 57–95. CRC Press, 2011. http://dx.doi.org/10.1201/b10894-8.

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Sikorski, Krzysztof A. "Fixed Points- Noncontractive Functions." In Optimal Solution of Nonlinear Equations. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195106909.003.0007.

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In this chapter we consider the approximation of fixed points of noncontractive functions with respect to the absolute error criterion. In this case the functions may have multiple and/or whole manifolds of fixed points. We analyze methods based on sequential function evaluations as information. The simple iteration usually does not converge in this case, and the problem becomes much more difficult to solve. We prove that even in the two-dimensional case the problem has infinite worst case complexity. This means that no methods exist that solve the problem with arbitrarily small error tolerance for some “bad” functions. In the univariate case the problem is solvable, and a bisection envelope method is optimal. These results are in contrast with the solution under the residual error criterion. The problem then becomes solvable, although with exponential complexity, as outlined in the annotations. Therefore, simplicial and/or homotopy continuation and all methods based on function evaluations exhibit exponential worst case cost for solving the problem in the residual sense. These results indicate the need of average case analysis, since for many test functions the existing algorithms computed ε-approximations with polynomial in 1/ε cost.

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5

Getz, Donald. "Stakeholder Management (Donald Getz)." In Crisis Management and Recovery for Events: Impacts and Strategies. Goodfellow Publishers, 2021. http://dx.doi.org/10.23912/9781911635901-4828.

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This chapter presents concepts and principles for stakeholder manage- ment in a time of crisis, and how stakeholder management is an essential part of recovery and resilience. Definitions, stakeholder theory, case studies and practical advice for event stakeholder management has been provided in the book Event Stakeholders by Mathilda van Niekerk and Donald Getz (2019). However, it was written before the 2020 pandemic and did not specifically address crisis management. A number of interviews and case studies have been incorporated in this book, reflecting the views of experts in a wide range of event settings and types. The interviewees were asked to comment on the impacts of the Covid-19 pandemic on the events sector, from their perspectives, on actions taken and plans for recovery, and on the key stakeholders for recovery and building resilience. A summary of the interviews and case studies is contained in the final chapter. While not all crises are as serious as the pandemic, 2020 generally being seen as a worst-case scenario, this material is valuable in shedding light on any form of crisis facing events, and in particular on the vital roles played by internal and external stakeholders. Who or what is a stakeholder? For a privately owned event, owners and direct investors are the shareholders, while stakeholders can broadly be defined as persons or organizations that have something to gain or lose by the actions of the event. They might have an investment in an event, or a perceived interest. An investment can be tangible or intangible. For example, tangible investments can be in the form of being a marketing or logistical partner, supplier, volunteer, paid employee, sponsor or other type of participant. Communities, cities and destinations invest in events and consider themselves to be important stakeholders, their investments being both tangible (e.g., money, venues, marketing, other services) or intangible (e.g., moral and political support, attendance, or – at a minimum – tolerance).

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Conference papers on the topic "Worst case tolerance stackup"

1

Shen, Zhengshu, Jami J. Shah, and Joseph K. Davidson. "Automation of Linear Tolerance Charts and Extension to Statistical Tolerance Analysis." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/cie-48179.

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Manual construction of tolerance charts is a popular technique for analyzing tolerance accumulation in parts and assemblies. But this technique has some limitations: (1) it only deals with the worst-case analysis, and not statistical analysis (2) it is time-consuming and errorprone (3) it considers variations in only one direction at a time, i.e. radial or linear. This paper proposes a method to automate 1-D tolerance charting, based on the ASU GD&T global model and to add statistical tolerance analysis functionality to the charting analysis. The automation of tolerance charting involves automation of stackup loop detection, automatic application of the rules for chart construction and determination of the closed form function for statistical analysis. The automated analysis considers both dimensional and geometric tolerances defined as per the ASME Y14.5 – 1994 standard at part and assembly level. The implementation of a prototype charting analysis system is described and two case studies are presented to demonstrate the approach.

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2

Shen, Zhengshu, Jami J. Shah, and Joseph K. Davidson. "Virtual Part Arrangement in Assemblies for Automatic Tolerance Chart Based Stackup Analysis." In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99184.

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Manual construction of design tolerance charts is a popular technique for analyzing tolerance accumulation in parts and assemblies, even though it is limited to one-dimensional worst-case analysis. Since charting rules are GD&T (geometric dimensioning & tolerancing) specification dependent, and the user has to remember all the different rules to construct a valid tolerance chart, manual charting technique is time-consuming and error-prone. The computer can be used for automated tolerance charting, which can relieve the user from the tedious and error-prone procedure while obtain the valid results faster. The automation of tolerance charting, based on the ASU GD&T mathematical model, involves (1) automation of stackup loop detection, (2) formulation of the charting rules for different geometric tolerances and determination of the closed form function for statistical analysis, (3) automatic part arrangement for an assembly level chart analysis, (4) development of the algorithms for chart analysis and automatic application of the charting rules. Since the authors’ previous DETC/CIE’03 paper already discussed tasks 1~2 and part of task 4, this paper will focus upon task 3, i.e. virtual part arrangement in assemblies for tolerance charts, and update the analysis algorithm (related to task 4). These two papers together will provide a complete coverage of automated tolerance charting technique popularly used in industry. The implementation will be briefly discussed as well, and case studies will be provided to demonstrate the approach to virtual part arrangement.

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Dresner, Thomas L., and Philip Barkan. "Optimal Tolerance Allocation for Tolerance Stack-Ups." In ASME 1993 Design Technical Conferences. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/detc1993-0389.

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Abstract The allocation of individual tolerances that form critical stack-ups is an important task in mechanical design. It is desirable, but difficult in practice, to allocate tolerances to obtain all required stack-ups at minimum cost. A minimum-cost allocation method is proposed here that works for both a single tolerance stack-up and for multiple tolerance stack-ups that share one or more individual tolerances. Tolerances can be optimally allocated for both worst case and a variety of 6σ statistical cases. The method is applicable to one-dimensional stack-ups and to multi-dimensional stack-ups with known sensitivity functions. It is a numerical Lagrange multiplier method that is more general than the Lagrange multiplier methods that have often been proposed. The basic method will almost always provide the lowest cost result when the manufacturing process to produce each toleranced dimension has been firmly established in advance. An exact method for efficiently extending the basic method to determine the lowest cost process for producing each dimension is also introduced.

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Cagan, Jonathan, and Thomas R. Kurfess. "Optimal Tolerance Allocation Over Multiple Manufacturing Alternatives." In ASME 1992 Design Technical Conferences. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/detc1992-0162.

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Abstract We introduce a methodology for concurrent design that considers the allocation of tolerances and manufacturing processes for minimum cost. Cost is approximated as a hyperbolic function over tolerance, and worst-case stack-up tolerance is assumed. Two simulated annealing techniques are introduced to solve the optimization problem. The first assumes independent, unordered, manufacturing processes and uses a Monte-Carlo simulation; the second assumes well known individual process cost functions which can be manipulated to create a single continuous function of cost versus tolerance with discontinuous derivatives solved with a continuous simulated annealing algorithm. An example utilizing a system of friction wheels over the manufacturing processes of turning, grinding, and saw cutting bar stock demonstrates excellent results.

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Spagnuolo and Vitelli. "Worst-case tolerance design by genetic algorithms." In Proceedings of the IEEE International Symposium on Industrial Electronics ISIE-02. IEEE, 2002. http://dx.doi.org/10.1109/isie.2002.1025956.

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Hao Zhou, Hailin Tang, Wei Su, and Xianxue Liu. "Robust design of a MEMS gyroscope considering the worst-case tolerance." In 2010 5th IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS 2010). IEEE, 2010. http://dx.doi.org/10.1109/nems.2010.5592587.

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7

Guilford, James, M. Sethi, and Joshua Turner. "Worst Case and Statistical Tolerance Analysis of the Daughter Card Assembly." In ASME 1992 International Computers in Engineering Conference and Exposition. American Society of Mechanical Engineers, 1992. http://dx.doi.org/10.1115/cie1992-0042.

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Abstract Designers are increasingly finding the need for an automated tolerance analysis package which interprets tolerances according to established tolerancing standards. Unfortunately, most of the commercial packages available make simplifying assumptions for the conventional plus-minus tolerances and do not support geometric tolerancing at all. Construction of a tolerance analysis models with these packages can be time consuming. GEOS is an automated tolerance analysis package which overcomes these shortcomings. It is based on variational modeling and feasibility space approaches. This report presents the results for a worst case amd statistical tolerance analysis done on an industrial assembly using GEOS. For this analysis, no special models had to be created as GEOS can accept the 3-D CAD model directly. The models used both conventional plus-minus tolerances as well as geometric tolerances. A GEOS graphical front-end, integrated with a commercial CAD system, was used to define the assembly relations, design function, and analysis parameters.

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Kato, Toshiji, Kaoru Inoue, and Kazuya Nishimae. "Worst-Case Tolerance Analysis for a Power Electronic System by Modified Genetic Algorithms." In 2006 5th International Power Electronics and Motion Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/ipemc.2006.297266.

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Kato, Toshiji, Kaoru Inoue, and Kazuya Nishimae. "Worst-Case Tolerance Analysis for a Power Electronic System by Modified Genetic Algorithms." In 2006 5th International Power Electronics and Motion Control Conference (IPEMC 2006). IEEE, 2006. http://dx.doi.org/10.1109/ipemc.2006.4778187.

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10

Sunun, Manas, and Sermsak Uatrongjit. "Improvement of sensitivity band technique for worst case tolerance analysis of linear circuits." In 2008 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON). IEEE, 2008. http://dx.doi.org/10.1109/ecticon.2008.4600530.

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