Search

The Thomson parabola spectrometer (TPS) [1] is a well-known, universal diagnostic tool that is widely used in laser plasma experiments to measure the parameters of accelerated ions. In contrast to other popular ion diagnostics, such as semiconductor detectors or ion collectors, the TPS is not greatly affected by electromagnetic pulses generated during high-power laser interaction with matter and can be tuned to acquire data in various energy ranges of accelerated ions, depending on the goal of the experiment. Despite the many advantages of this diagnostic device, processing the collected data is a difficult task and requires a lot of caution during interpretation of gathered results. In this work, we introduce the basic principles of operation and data analysis based on the numerical tool created specifically for the TPS designed at the Institute of Plasma Physics and Laser Microfusion, present a range of data obtained during various recent experiments in which our TPS was used, and highlight the difficulties in data analysis depending on the purpose of the experiment and the experimental setup.

This article presents research work on an intelligent system that was developed to monitor and continuously evaluate the quality of metal powder distribution in the laser powder bed fusion (LPBF) 3D printing process. The 3D printer that was used to carry out the work was equipped with an industrial vision system to capture images immediately after spreading powder on the work field. The powder distribution tests showed that the most common defects were identified as an insufficiently thick layer of powder applied to the working field (super elevation), unevenly distributed powder as a result of recoater vibration (so called recoater hopping), and its wear (so called recoater streaking). In the first stage of research, a set of training data (images) was collected. Then, the implementation of the machine learning process was prepared in the Roboflow environment. After that, the learning, validation, and prediction process was carried out several times using the selected machine learning model (YOLO model implemented in a Python environment) in order to select the most effective parameters. The study showed that deep machine learning can be effectively used to identify defects in powder distribution during the laser powder bed fusion (LPBF) process. [ABSTRACT FROM AUTHOR]

In the paper some possibilities of application modern length and angle metrology techniques to design constructions that support ecology were presented. The paper is based on a project where a lighter bus and train car seat was developed. Different options were presented including static and dynamic photogrammetry, computed tomography and thermography. Research related with dynamic behaviour of designed structures gave input to determine deformation of a seat and passengers sitting on it during communication accidents. Works connected to strength of construction elements made it possible to optimize its dimensions maintaining proper durability. Metrological actions taken in relation to production machines and equipment enabled to better recognize phenomena that take place during manufacturing process and to correct its parameters, what in turns also contributed to slim down the construction.

In this article, the analysis of baryon-antibaryon femtoscopic correlations is presented. In particular, it is shown that taking into account residual correlations is crucial for the description of pΛ¯$\bar \Lambda $ and p̄Λ correlation functions measured by the STAR experiment in Au–Au collisions at the centre-of-mass energy per nucleon pair √sNN = 200 GeV. This approach enables to obtain pΛ¯$\bar \Lambda $ (p̄Λ) source size consistent with the sizes extracted from correlations in pΛ (p̄Λ¯$\bar \Lambda $) and lighter pair systems as well as with model predictions. Moreover, with this analysis it is possible to derive the unknown parameters of the strong interaction potential for baryon-antibaryon pairs under several assumptions.

Copyright of Polimery is the property of Industrial Chemistry Research Institute and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

W artykule zaprezentowano wyniki wykorzystania współczynnika pogodowego K1/3 do wypracowania manewrów unikania cyklonu tropikalnego GASTON na Atlantyku Północnym. Manewry unikowe planowano przy użyciu systemu ORS (Onboard Routing System) pogodowej optymalizacji trasy oceanicznej statku Bon Voyage firmy AWT oraz programu CYKLON. W przypadku systemu Bon Voyage rozpatrywano trasy wygenerowane przez algorytmy optymalizacji trasy systemu oraz trasy zaprogramowane ręcznie w systemie przez nawigatora. Wykorzystano współczynnik pogodowy K1/3 jako wskaźnik bezpieczeństwa w ostatecznym wyborze trasy spośród wariantów uzyskanych w obydwu okrętowych systemach wspomagania decyzji. Uzyskane wyniki wskazują na zasadność stosowania kilku rodzajów narzędzi wspomagania w podejmowaniu decyzji przy rozwiązywaniu problemu wypracowania manewru unikania cyklonu tropikalnego oraz na przydatność współczynnika pogodowego K1/3 do ewaluacji ryzyka trasy oceanicznej w rejonie występowania cyklonów tropikalnych. [ABSTRACT FROM AUTHOR]

The article presents the results of an application of K1/3 weather coefficient to tropical cyclone avoidance manoeuvre on the example of a tropical cyclones GASTON in the North Atlantic in. Avoidance manoeuvre was planned with the use of the Bon Voyage ORS (Onboard Routing System) of the AWT and also with the use of the programme CYKLON. The routes considered in the Bon Voyage system were generated by the route optimization algorithms of the system and routes programmed manually were generated by the system operator. Weather coefficient K1/3 was utilized as an index of safety of navigation in decision making regarding the ultimate route choice of all route variants generated and programmed in both decision making support systems. Results obtained point at the legitimacy of utilizing several decision support systems in solving the problem of tropical cyclone avoidance manoeuvre. [ABSTRACT FROM AUTHOR]

The results of testing the Bon Voyage system for an ocean voyage are presented in this paper. The main assumptions of testing were: ETD - 26.08.2016 and ETA - 05.09.2016, as established by the owner. All the data have been obtained from an actual voyage of a post-Panamax shipping container through the North Pacific. Testing was repeated again after completion of the voyage (post-voyage analysis). The data indicate that improved results with respect to fuel consumption could have been achieved using a different moment of second stage testing. Possible problems at planning, programming, and optimizing of the route leading through the ECA (Emission Control Area) zones with the use of onboard routing systems are also presented. [ABSTRACT FROM AUTHOR]

A ship sailing between the coasts of China, Japan, Korea and the Western coast of North America must cross navigational and geographical barriers of the Kuril Islands Archipelago and Aleutian Chain. Passes between the islands are particularly difficult and hazardous in winter. Most of them are covered by drifting ice for 5 months of the year. A number of allowed passes and offshore routes had been established by the maritime authorities of Alaska on the Bering Sea and in Aleutian Chain. However, use of other passes and routes is limited to exceptional cases only. Similar regulations exist in the Okhotsk Sea and other waters under Russian jurisdiction. The ship must then give grounds for a deviation from recommended or allowed passes and tracks and report other required information. Since January 1, 2015, it is mandatory to use the low sulphur fuel oil (sulphur content no higher than 0.01%) in the main propulsion system and auxiliary machinery when navigating inside the Emission Control Area (ECA) zone. Ships face a constant dilemma whether to remain in the ECA zone for the shortest or longer period of time, if the fuel and cost gain in relation to the entire route justify that. Available decision making support systems, like SPOS and Bon Voyage, do not solve that issue satisfactorily. [ABSTRACT FROM AUTHOR]

The article presents the origin of Emission Control Area (ECA) zones, a timetable for their enforcement, criteria of their implementation and the principles and rules of navigation in these areas. Plans and areas of the next ECA zones envisaged for the future are presented. Least fuel route programming was presented, together with a description of safety rules during the change-over procedure in operations concerning the main engine and other ship systems. An attempt to identify the problems that may be encountered when programming the routes with the use of on-board routing systems, like Bon Voyage of AWT, leading through the ECA zones, has been made. Examples of such problems, taken from a true voyage of a postpanamx container vessel on a transpacific voyage, have been presented. A generalized algorithm for programming the route leading through the ECA zone according to the least fuel criterion has been presented. [ABSTRACT FROM AUTHOR]

A significant increase in demand for navigation support systems called Onboard Routing Systems (ORS) can be observed in the World's merchant fleet. ORS is a navigation-support system that enables route programming to warn of dangers and navigation constraints and determine the required route-safety level directly onboard the vessel. In this article, an attempt to analyze and compare two ORS systems has been made: the Ship Performance Optimization System (SPOS), by the Meteo Consult Group; and the Bon Voyage system by Applied Weather Technologies (AWT). Individual items, methods, and criteria of both systems for optimization and weather forecasting models utilized have been compared. Particular attention has been paid to the usefulness of the systems regarding the problem of identification and avoidance of hazards such as tropical cyclones and wave resonance. Ergonomics of both systems has also been compared. [ABSTRACT FROM AUTHOR]