Analysis of electromagnetic field generated by a magnetic pulse joining machine

In magnetic pulse joining process, the principal components are the massive coil and the workpieces. In the coil-workpiece region, the magnetic field is generated by a pulsed and intense current. The welding is produced by the eddy current in the workpieces. An equivalent electrical scheme is proposed to specify the characteristics of the magnetic pulse generator. The main purpose of this article is to study the propagation of the electromagnetic fields in the coil and its propagation around the coil. The generator is modelled by an RLC circuit. The current pulse is based on experimental measurements using a Rogowski coil and integrated in the numerical simulation as an RLC circuit. Then using magnetic field theory, we measured the magnetic field around the coil using a flux loop and by introducing an analytical model of a massive one turn coil transformed into a multi-turn one. The analytical model is based on mutual inductance between two coaxial circular coils. A 3D numerical simulation using the finite element method and electromagnetic solver in ls-dyna software is developed to calculate the current distribution in the coil. The current density given by numerical analysis shows how the current is insignificant in the outer corners of the massive coil. This approximation is related to the analytical model design by neglecting these corners. Finally, we proposed an experimental setup to estimate electromagnetic fields around the coil. To validate the analytical method and using a massive one turn coil, we performed experimental measurements of magnetic flux density using an external one-turn coil

Modeling and specification of Web services composition using UML-S

As Web services composition arouses a growing interest, most research works address implementation and execution issues. Therefore, many composition languages (BPEL, XLANG, WSFL, WSCI, to name a few of them) have been proposed in the past few years. However, a weakness of these languages is that they are difficult to use in early stages of development, such as specification. In this paper, an extension to UML 2.0 called ”UML-S: UML for Services ” is introduced. UML-S allows for a Model Driven Engineering (MDE) of Web services and their interactions. 1

Spectral analysis for performance evaluation in a bus network

This paper deals with the performance evaluation of a public transportation system in terms of waiting times at various connection points. The behaviour of a bus network is studied in the framework of Discrete Event Systems (DES). Two possible operating modes of buses can be observed at each connection stop: periodic and non-periodic mode. Two complementary tools, Petri nets and (max, +) algebra, are used to describe the network by a non-stationary linear state model. This one can be solved after solving the structural conflicts associated to the graphical representation. From the characteristic matrix of the mathematical model, we determine eigenvalues and eigenvectors that we use to evaluate the connection times of passengers. This work is finally illustrated with a numerical example.Transportation network Petri nets (max, +) Algebra Spectral theory Performance evaluation

Big Data for Supply Chain Management in Industry 4.0 Context : A Comprehensive Survey

International audienceThe world now knows a great evolution and explosion of new technologies in many domains that change our lives everyday. Obviously, This lead also to the emergence of new generation of industries commonly known as industry 4.0. Big Data is one of those great technologies, which has considered as the backbone of this type of industry. Hence, that will arise new challenges for companies, and lead them to think differently in the way they design, manage and automate their supply chains processes in order to compete better in the global market and improve their business. The competition within the market space has evolved from "firm versus firm" towards "supply chain versus supply chain". During supply chain operations a great amounts of data are generating. Consequently Big Data Analytics capabilities could be considered the main key to improve data-driven decision making. Additionally, it enable to develop innovative ways that improve business efficiency and effectiveness from this vast amounts of data. Moreover, it provide a 360-degree view of company operations. This review paper is interested in showing the importance of Big Data and Big Data Analytics in the Smart Supply Chain Management. More precisely, how they contribute in making SCM entities (Procurement, Manufacturing, Logistic/Transportation, Warehousing and Demand management) smarter to be suitable in industry 4.0 context

Petri nets conflicts resolution for performance evaluation and control of urban bus networks: a (max, +)-based approach

This paper deals with the modeling, analysis, performance evaluation and control of urban bus networks characterized by conflicts, synchronization and concurrency using two complementary formalism Petri nets and dioid algebra. We mainly focused on conflicts resolution using some routing functions in order to evaluate buses timetables and also arrival, boarding, disembarking and waiting times of each passenger. As a second contribution of this paper, we study through the developed models the influence of the buses limited capacity on passengers travel time. The objective is to find an optimal threshold from which the buses capacity has no longer impact on passengers waiting time. Finally, we propose a control approach enabling to determine a compromise between the capacity and number of buses to use on the network in order to minimize both passengers waiting time and transportation company costs by using buses with suitable capacities especially in peak periods

Petri nets conflicts resolution for performance evaluation and control of urban bus networks: a (max, +) based approach

International audienceThis paper deals with the modeling, analysis, performance evaluation and control of urban bus networks characterized by conflicts, synchronization and concurrency using two complementary formalism Petri nets (PN) and dioid algebra. We mainly focused on conflicts and resource sharing resolution using some routing functions in order to evaluate some passengers metrics within various stations of the bus network. More precisely, we evaluate arrival, boarding, disembarking and waiting times of each passenger at any network station. As a second contribution of this paper, we study through the developed models the influence of the limited capacity of the buses on passengers travel time. The objective is to find an optimal threshold from which the buses capacity has no longer impact on passengers waiting time. Finally, we propose a control approach enabling to determine a compromise between the capacity and number of buses to use on the network in order to minimize both waiting time of passengers and transportation company costs by using buses with suitable capacities especially in peak periods. An illustrative example is given to show the applicability of the proposed approach and the obtained results are promising