Planning for Variation in Manufacturing Processes - A Process Tolerance Analysis Software Tool

1997 ◽  
Author(s):  
Uday Korde
Keyword(s):  
Software Tool ◽  
Tolerance Analysis ◽  
Manufacturing Processes ◽  
Analysis Software ◽  
Process Tolerance

scholarly journals A quantitative analysis software tool for mass spectrometry–based proteomics

2008 ◽  
Vol 5 (4) ◽  
pp. 319-322 ◽  
Author(s):  
Sung Kyu Park ◽  
John D Venable ◽  
Tao Xu ◽  
John R Yates
Keyword(s):  
Mass Spectrometry ◽  
Quantitative Analysis ◽  
Software Tool ◽  
Analysis Software

Micromechanics-Based Fracture Risk Assessment Using Integrated Probabilistic Damage Tolerance Analysis and Manufacturing Process Models

2016 ◽  
Author(s):  
Michael P. Enright ◽  
R. Craig McClung ◽  
Kwai S. Chan ◽  
John McFarland ◽  
Jonathan P. Moody ◽  
...  
Keyword(s):  
Grain Size ◽  
Gas Turbine ◽  
Manufacturing Process ◽  
Damage Tolerance ◽  
Random Variables ◽  
Software Tool ◽  
Tolerance Analysis ◽  
Turbine Engine ◽  
Damage Tolerance Analysis ◽  
Time Required

Materials engineering and damage tolerance assessment have traditionally been performed as disjoint processes involving repeated tests that can ultimately prolong the time required for certification of new materials. Computational advances have been made both in the prediction of material properties and probabilistic damage tolerance analysis, but have been pursued primarily as independent efforts. Integrated computational materials engineering (ICME) has the potential to significantly reduce the time required for development and insertion of new materials in the gas turbine industry. A manufacturing process software tool called DEFORM™ has been linked with a probabilistic damage tolerance analysis (PDTA) software tool called DARWIN® to form a new capability for ICME of gas turbine engine components. DEFORM simulates rotor manufacturing processes including forging, heat treating, and machining to compute residual stress and strain, track anomaly location, and predict microstructure including grain size and orientation. DARWIN integrates finite element stress analysis results, fracture mechanics models, material anomaly data, probability of anomaly detection, and inspection schedules to compute the probability of fracture of a gas turbine engine rotor as a function of operating cycles. Previous papers have focused on probabilistic modeling of residual stresses in DARWIN based on manufacturing process training data from DEFORM. This paper describes recent efforts to extend the probabilistic link between DEFORM and DARWIN to enable modeling of residual strain, average grain size, and ALA (unrecrystalized) grain size as random variables. Gaussian Process modeling is used to estimate the relationship among model responses and material processing parameters. These random variables are applied to microstructure-based fatigue crack nucleation and growth models for use in probabilistic risk assessments. The integrated DARWIN-DEFORM capability is demonstrated for a representative engine disk model which illustrates the influences of manufacturing-induced random variables on component fracture risk. The results provide critical insight regarding the potential benefits of integrating probabilistic computational material processing models with probabilistic damage tolerance-based risk assessment.

SciMAT: A new science mapping analysis software tool

2012 ◽  
Vol 63 (8) ◽  
pp. 1609-1630 ◽  
Author(s):  
M.J. Cobo ◽  
A.G. López-Herrera ◽  
E. Herrera-Viedma ◽  
F. Herrera
Keyword(s):  
Software Tool ◽  
Analysis Software ◽  
Science Mapping ◽  
New Science ◽  
Mapping Analysis

Application of a Unified Jacobian—Torsor Model for Tolerance Analysis

2003 ◽  
Vol 3 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Alain Desrochers ◽  
Walid Ghie ◽  
Luc Laperrie`re
Keyword(s):  
Three Dimensional ◽  
Tolerance Analysis ◽  
Small Displacement ◽  
Manufacturing Processes ◽  
Functional Requirements ◽  
Tolerance Zone ◽  
Kinematic Chains ◽  
Final Assembly ◽  
Novel Method ◽  
Assembly Constraints

Because of uncertainties in manufacturing processes, a mechanical part always shows variations in its geometrical characteristics (ex. form, dimension, orientation and position). Quality then often reflect how well tolerances and hence, functional requirements, are being achieved by the manufacturing processes in the final product. From a design perspective, efficient methods must be made available to compute, from the tolerances on individual parts, the value of the functional requirement on the final assembly. This is known as tolerance analysis. To that end, existing methods, often based on modeling of the open kinematic chains in robotics, are classified as deterministic or statistical. These methods suppose that the assembled parts are not perfect with regard to the nominal geometry and are rigid. The rigidity of the parts implies that the places of contacts are regarded as points. The validation or the determination of a tolerance zone is therefore accomplished by a series of simulation in specific points subjected to assembly constraints. To overcome the limitations and difficulties of point based approaches, the paper proposes the unification of two existing models: the Jacobian’s matrix model, based on the infinitesimal modeling of open kinematic chains in robotics, and the tolerance zone representation model, using small displacement screws and constraints to establish the extreme limits between which points and surfaces can vary. The approach also uses interval algebra as a novel method to take tolerance boundaries into account in tolerance analysis. The approach has been illustrated on a simple two parts assembly, nevertheless demonstrating the capability of the method to handle three-dimensional geometry. The results are then validated geometrically, showing the overall soundness of the approach.

Research on Tolerance Simulation and Improvement of Gas Turbine Generator

2014 ◽  
Vol 1039 ◽  
pp. 99-104
Author(s):  
Jing Liu ◽  
Ming Li ◽  
Gao Wei Zhan
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Gas Turbine ◽  
High Reliability ◽  
Tolerance Analysis ◽  
Analysis Software ◽  
Turbine Generator ◽  
Reliability Calculation ◽  
The Impact ◽  
Assembly Precision

VisVSA is a kind of 3-D tolerance analysis software which offers high reliability calculation based on Monte Carlo simulation. This paper uses VisVSA to improve the design of gas turbine generator. In many factors that affect designing properties, the impact of manufacturing precision and assembly precision through comparative analysis are discussed.

scholarly journals OCSANA+: Optimal Control and Simulation of Signaling Networks from Network Analysis

2019 ◽  
Author(s):  
Lauren Marazzi ◽  
Andrew Gainer-Dewar ◽  
Paola Vera-Licona
Keyword(s):  
Network Analysis ◽  
Large Scale ◽  
Software Tool ◽  
Control Algorithms ◽  
Signaling Networks ◽  
Analysis Software ◽  
Link Type ◽  
Non Linear Systems ◽  
Long Term Behavior

AbstractSummaryOCSANA+ is a Cytoscape app for identifying nodes to drive the system towards a desired long-term behavior, prioritizing combinations of interventions in large scale complex networks, and estimating the effects of node perturbations in signaling networks, all based on the analysis of the network’s structure. OCSANA+ includes an update to OCSANA (optimal combinations of interventions from network analysis) software tool with cutting-edge and rigorously tested algorithms, together with recently-developed structure-based control algorithms for non-linear systems and an algorithm for estimating signal flow. All these algorithms are based on the network’s topology. OCSANA+ is implemented as a Cytoscape app to enable a user interface for running analyses and visualizing results.Availability and ImplementationOCSANA+ app and its tutorial can be downloaded from the Cytoscape App Store or https://veraliconaresearchgroup.github.io/OCSANA-Plus/. The source code and computations are available in https://github.com/VeraLiconaResearchGroup/OCSANA-Plus_SourceCode.

Dynamic Reduced Electrothermal Model for Integrated Power Electronics Modules (IPEM): Part I — Thermal Analysis

2003 ◽  
Author(s):  
M. Herna´ndez-Mora ◽  
J. E. Gonza´lez ◽  
M. Ve´lez-Reyes ◽  
J. M. Orti´z ◽  
Y. Pang ◽  
...  
Keyword(s):  
Heat Transfer ◽  
Thermal Analysis ◽  
Power Electronics ◽  
Software Tool ◽  
Electrical Performance ◽  
Reduced Model ◽  
Analysis Software ◽  
Thermal Capacitance ◽  
Capacitance Method ◽  
Numerical Formulation

This paper presents a reduced mathematical model using a practical numerical formulation of the thermal behavior of Integrated Power Electronics Modules (IPEM). This model is based on the expanded Lumped Thermal Capacitance Method (LTCM), in which the number of variables involved in the analysis of heat transfer is reduced to only time. Applying this procedure a simple, non-spatial, but highly non-linear model is obtained. Steady and transient results of the model are validated against results from a thermal analysis software tool, FLOTHERM 3.1™. A comparison between thermal results obtained with the reduced model and experimental data is presented indicating a need for incorporating the dynamic electrical performance in the reduced model. The development of this model presents an alternative to reduce the complexity level developed in commercial multidimensional and transient software for power electronics applications.

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