On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion

Azouzi, Riadh; Guillot, Michel

doi:10.1016/s0890-6955(97)00013-8

Cited by 162 publications

(89 citation statements)

References 7 publications

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“…Azouzi and Guillot (1997) presented a sensor fusion system based on a MLP NN to predict dimensional deviations in turning operations by monitoring vibrations, acoustic emission, and cutting forces. The ANN model prediction was assessed with an error varying from 2 and 20 µm under different process conditions.…”

Section: Ann Models Applied To Part Accuracy Predictionmentioning

confidence: 99%

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A review of artificial intelligent approaches applied to part accuracy prediction

Abellán-Nebot

2010

IJMMM

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Nowadays, despite the large volume of worldwide academic research on various aspects of metal cutting the control of workpiece precision still relies on machine-tool operator's experience and trial and error runs. In order to increase the efficiency of machining systems, many empirical models based on Artificial Intelligent (AI) approaches have been proposed in the past, where important process improvements were reported. This paper overviews the AI approaches applied in machining operations to predict part accuracy in terms of dimensional deviations and surface roughness. Successful techniques applied in this field such as Artificial Neural Networks, Fuzzy Logic, Adaptive-Network-based Fuzzy Inference Systems and Bayesian Networks are briefly reviewed and compared to facilitate its use. For each AI approach, the most relevant research works are described and based on those works some guidelines are proposed for its implementation. In addition, advantages and drawbacks of each approach are summarised and a generic guideline for AI approaches selection is proposed.

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Section: Ann Models Applied To Part Accuracy Predictionmentioning

confidence: 99%

“…In their investigation, special attention was paid to the data filtration scheme required to build ANN models reliable and accurate. Azouzi and Guillot (1997) presented a sensor fusion system based on a MLP NN where vibrations, acoustic emission,…”

Section: Ann Models Applied To Part Accuracy Predictionmentioning

confidence: 99%

A review of artificial intelligent approaches applied to part accuracy prediction

Abellán-Nebot

2010

IJMMM

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“…Examples of the application of back-propagation nets and wavelet nets for solving the problem of machining accuracy include [14] and [15]. However, our approach differs in the proposal to use D omc and fine touch/soft touch as the keys.…”

Section: Synergy Between Modelling and Learning Through The Use Of Anmentioning

confidence: 99%

Predicting Machining Errors in Turning Using Hybrid Learning

Venuvinod

Djorjevich

et al. 2001

Int J Adv Manuf Technol

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“…There are many examples of the successful application of the orthogonal design. For example, Azouzi and Guillot [22] examined the feasibility of an intelligent sensor fusion to estimate on-line surface finish and dimensional deviations with the orthogonal arrays used for experiments planning. In addition, Green et al [23] applied orthogonal arrays to conjoint analysis in marketing.…”

Section: Introductionmentioning

confidence: 99%

Hydrodynamic interactions of water waves with a group of independently oscillating truncated circular cylinders

2016

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In this study, we examine the water wave radiation by arrays of truncated circular cylinders. Each cylinder can oscillate independently in any rigid oscillation mode with a prescribed amplitude, including translational and rotational modes such as surge, sway, heave, pitch, roll, and their combinations. Based on the eigenfunction expansion and Graf's addition theorem for Bessel functions, we developed an analytical method that includes the effects of evanescent modes in order to analyze such arrays of cylinders. To investigate the effects of several influential factors on convergence, our objective is to dramatically reduce the number of tests required and determine the influencing relationships between truncation number and convergence behavior for different factor combinations. We use the orthogonal test method to fulfill the objective. Lastly, we present our results regarding the effects of evanescent modes on hydrodynamic coefficients.

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On-line prediction of surface finish and dimensional deviation in turning using neural network based sensor fusion

Cited by 162 publications

References 7 publications

A review of artificial intelligent approaches applied to part accuracy prediction

A review of artificial intelligent approaches applied to part accuracy prediction

Predicting Machining Errors in Turning Using Hybrid Learning

Hydrodynamic interactions of water waves with a group of independently oscillating truncated circular cylinders

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