Journal Article10.5829/IDOSI.IJE.2012.25.04C.09
A Methodology for Product Performance Analysis under Effects of Multi-Physical Phenomena
TL;DR: In this article, a global methodology that integrates the multi-physical effect throughout the product life cycle into the performance simulation is proposed, where the variation sources throughout product life-cycle are taken into account performance analysis of product.
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Abstract: Due to the development of science and technology, the computer has become a useful tool for supporting engineering activities in product design. Many computer aided tools such as Computer Aided Design/Manufacturing (CAD/CAM), product data management (PDM), product life cycle assessment (PLA), etc., have been popularly used in industry for reducing product development leadtime and increasing total product quality. As a result, product designers can easily create the numerical model of product based on these tools. However, it can only represent nominal information of the product. It is not able to deal with various kinds of multi-physical effect during the whole product life cycle, especially in manufacturing/assembly and product usage stage. Performance analysis of product based on this model gives a result that is different from the real product in practice. It can make the quality of the product designed not to meet fully the requirements of customers and users. Thus, this paper proposes a global methodology that allows integrating the multi-physical effect throughout the product life cycle into the performance simulation. The variation sources throughout product life cycle are taken into account performance analysis of product.
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Citations
Application of Bayesian networks for product quality management in a multistage manufacturing process
Dinh Son Nguyen
- 01 Dec 2015
TL;DR: A method based on Bayesian networks that allows to model impact factors in a multistage machining process on product quality and the root cause analysis can be implemented by using the Bayesian network model is proposed.
11
•Proceedings Article
Integration of geometrical deviations throughout product lifecycle into performance simulation
Dinh Son Nguyen,Frédéric Vignat,Daniel Brissaud +2 more
- 22 Nov 2010
TL;DR: In this article, the authors proposed a method to model geometrical variations generated during the product lifecycle and integrate them into the product performance simulation, so as to determine the relationship between the performance of the product and the variation sources.
2
References
Error compensation in machine tools — a review: Part II: thermal errors
TL;DR: In this paper, an attempt is made to review the work carried out over the last decade in the estimation and compensation of temperature dependent errors, which constitute a significant portion of the total error in a machine tool.
960
Error compensation in machine tools — a review: Part I: geometric, cutting-force induced and fixture-dependent errors
TL;DR: In this paper, the authors reviewed the work done in analysing the various sources of geometric errors that are usually encountered on machine tools and the methods of elimination or compensation employed in these machines.
699
•Book
Linear Models: Least Squares and Alternatives
Calyampudi Radhakrishna Rao,Helge Toutenburg,A. Fieger +2 more
- 04 Jun 2013
TL;DR: In this paper, the authors present a unified theory of inference from linear models with minimal assumptions, not only through least squares theory, but also using alternative methods of estimation and testing based on convex loss functions and general estimating equations.
548
Relative Entropy Based Method for Probabilistic Sensitivity Analysis in Engineering Design
TL;DR: In this article, a new Probabilistic Sensitivity Analysis (PSA) approach based on the concept of relative entropy is proposed for design under uncertainty, which can be applied both over the whole distribution of a performance response and in any interested partial range of a response distribution.
268
Statistical tolerance analysis of bevel gear by tooth contact analysis and Monte Carlo simulation
TL;DR: In this paper, a vectorial dimensioning and tolerancing model is proposed to evaluate the impact of tolerances on gear quality, which includes a digital simulation based on Tooth Contact Analysis and Monte Carlo simulation.
97