Towards a formal language of physical systems

Feliot, C.; Cassar, Jean-Philippe; Starowiecki, M.

doi:10.1109/icsmc.1996.561378

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…A product requires services from resources and a resource offers services to products. These services can usually be split into three categories [FC1], which is the case in Arezzo: space services (e.g. : product transported by a shuttle within a conveying system), time services (e.g.…”

Section: -Component Identificationmentioning

confidence: 99%

Manufacturing Process

Sultan¹,

Gilles

Cohen

et al. 2016

Research in Interactive Design (Vol. 4)

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Abrasive water jet milling (AWJM) is a new way to perform controlled depth milling especially for hard materials, but it's not yet enough reliable because of large variety of process parameters and complex footprint geometries that are not well mastered. In order to master the milling device in AWJM, a deep study on the footprint of a single path of the cutting head should first be considered. The flow of the AWJ and the distribution of abrasive particles coming out of the jet are related to the profile measured on the footprint. In this study, experiments were made on titanium alloys specimen to compare several theoretical models to the measured profile of the footprint. This study establishes new models to fit the incision profile taking in consideration the behavior of the abrasive particles impacting the workpiece.Key words: Abrasive waterjet milling, incision, titanium alloy, process parameters, Gaussian model. Nomenclature:a maximum depth parameter (mm) b width parameter (mm) b0.5 width at half of maximum depth (mm) b1 width parameter of first Gaussian part (mm) b2 width parameter of second Gaussian part (mm) 1-IntroductionAbrasive water jet (AWJ) acquired a great technological progress in the last decades. Its popularity has changed considerably thanks to its high pressure joined to the flow of abrasive particles allowing the cut of any type of material. AWJ is a non-conventional machining process in which a mixture of abrasive particles and water at very high pressure is converted into a high velocity jet to cut various materials that can range from brittle to ductile materials. The water jet cutting is considered as a very efficient manufacturing process involving small amounts of heat transferred to the workpiece. Thereby, metal parts made by AWJ process does not change the crystal structure usually caused by the heat generated with other methods of material removal such as laser cutting, EDM (Electrical Discharge Machining), milling machining... The AWJ has become an emerging technology with versatile features.Controlled depth milling appeared in the early 1990s and is intended for the production of pockets. Until now this process has not yet been mastered, especially for hard materials. In order to comprehend the milling of pockets in AWJ, milling incisions (representing a single path of the cutting head on the workpiece) should firstly be studied. Several works were established to investigate this technology, F. CENAC studied controlled depth milling on Composites and aluminum alloys [C1] [CC1], and G. FLOWER worked on Titanium alloys [Fo1]. In their studies masks were used to avoid irregularities in the bottom of the milled pocket. In the case of maskless pocket milling in AWJ, a precise study on the impinging water jet is required to understand the mechanisms of abrasive and water flow machining and their impact on the workpiece.Article 039-pp-9 474Research in Interactive Design -Vol. 4 F. CENAC showed in his studies [C1] that the velocity profile of water particles going out of the cu...

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Section: -Component Identificationmentioning

confidence: 99%

Manufacturing Process

Sultan¹,

Gilles

Cohen

et al. 2016

Research in Interactive Design (Vol. 4)

View full text Add to dashboard Cite

show abstract

“…A product requires services from resources and a resource offers services to products. These services can usually be divided into three categories (Feliot et al, 1996), which is the case in Arezzo-FMS: space services (e.g. product transportation by a shuttle within the conveying system), time services (e.g.…”

Section: Description Of the Arezzo-fms Approachmentioning

confidence: 99%

Arezzo-flexible manufacturing system: A generic flexible manufacturing system shop floor emulator approach for high-level control virtual commissioning

Berger

Deneux

Bonte

et al. 2015

Concurrent Engineering

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The benchmark of several high-level control strategies is required during the design of flexible manufacturing systems. Virtual commissioning is a popular approach to test and validate the behavior of the target control system based on a virtual model. It can actually simulate and help study the behavior of electro-mechanical shop floor components, characterized by a physical layer and low-level control functions but it fails to simulate the behavior of high-level control functions, such as dynamic resource allocation and product routing. Thus, virtual commissioning of the flexible manufacturing system can be a complex task because it requires to model the low-and high-level control functions in different software environments and to connect them through a specific interface. Switching from ''virtual'' to ''real'' remains a challenging issue since it requires to connect the high-level control functions to the real system through the real interface. This article introduces and details the Arezzo-flexible manufacturing system approach for supporting the virtual commissioning of the flexible manufacturing system, including the distinct but consistent modeling of their low-and high-level control functions. The Arezzo-flexible manufacturing system approach consists in gradually defining an emulator of the shop floor to which several candidate high-level control strategies can connect through a standard interface layer. The interface layer to the virtual shop floor emulates the real interface layer to the real shop floor, so that switching from the virtual to the real environment is straightforward. In this article, both the emulator design method and the involved generic components needed are described in turn. A real flexible cell is used as a case study to demonstrate the Arezzo-flexible manufacturing system approach and some illustrations are provided to emphasize the similarity between the shop floor emulator obtained (Arezzo-APV) and the real shop floor (Aip-Primeca flexible manufacturing system cell).

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“…can be represented by a chain (a "word") w whose characters are elements of V = {A, T , C}. Using such chains, Feliot, Staroswiecki, and Cassar [25] and Feliot [26] proved that four rules define the set of syntactically correct sequences of connected items:…”

Section: Connection Rulesmentioning

confidence: 99%

“…It may be made up of two receivers with a valve between them (A • T C • A process ≈ A process). According to the inputs and outputs, Feliot, Staroswiecki, and Cassar [25] established three equivalence rules at the beginning and end of any chain. These three subsets cover all the chains that can be encountered in any valid network.…”

Section: Equivalence Rulesmentioning

confidence: 99%

“…Causal properties of bond graphs are used to validate models [5,6]. A high-level syntax rule [25,26] has been proposed to validate models created using component submodels, which have been classified according to their functionality. This rule is easily understood by practicing engineers, who do not have formal knowledge of bond graph language.…”

Section: Introductionmentioning

confidence: 99%

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Component-Based Modelling of Thermofluid Systems for Sensor Placement and Fault Detection

Samantaray

Medjaher²,

Bouamama

et al. 2004

SIMULATION

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Modelling of thermofluid systems is complex because of the coupling of thermal and hydraulic energies. Bond graph language is a suitable tool for modelling such nonlinearmultienergy domain systems along with their control systems. Structural control properties of the system can be determined using the causal properties of bond graphs, without resorting to any formal computation. An ontology for classifying thermofluid process components is presented in this article, along with connection syntax and model validation algorithms. Then the theory for structural analysis is used to design sensor placements for observability and also for component fault detection and isolation. This study also deals with developing a bond graph–based model representation mechanism to perform structurallevel linking of submodels.The methodology developed is applied to two example systems. Simulation of process faults is used to validate the theoretically obtained fault signatures for a thermofluid system in the second example.

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Towards a formal language of physical systems

Cited by 5 publications

References 18 publications

Manufacturing Process

Manufacturing Process

Arezzo-flexible manufacturing system: A generic flexible manufacturing system shop floor emulator approach for high-level control virtual commissioning

Component-Based Modelling of Thermofluid Systems for Sensor Placement and Fault Detection

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