Autor: Vettore, F. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Effect of the Austempering Process on the Microstructure and Mechanical Properties of 27MnCrB5-2 Steel
Autorzy:: Morri, A.
Ceshini, L.
Pellizzari, M.
Menapace, C.
Vettore, F.
Veneri, E.
Powiązania:: https://bibliotekanauki.pl/articles/356545.pdf
Data publikacji:: 2017
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: 27MnCrB5-2
austempering
microstructure
mechanical properties
low temperature
Opis:: The effect of austempering parameters on the microstructure and mechanical properties of 27MnCrB5-2 steel has been investigated by means of: dilatometric, microstructural and fractographic analyses; tensile and Charpy V-notch (CVN) impact tests at room temperature and a low temperature. Microstructural analyses showed that upper bainite developed at a higher austempering temperature, while a mixed bainiticmartensitic microstructure formed at lower temperatures, with a different amount of bainite and martensite and a different size of bainite sheaf depending on the temperature. Tensile tests highlighted superior yield and tensile strengths (≈30%) for the mixed microstructure, with respect to both fully bainitic and Q&T microstructures, with only a low reduction in elongation to failure (≈10%). Impact tests confirmed that mixed microstructures have higher impact properties, at both room temperature and a low temperature.
Źródło:: Archives of Metallurgy and Materials; 2017, 62, 2A; 643-651
1733-3490
Pojawia się w:: Archives of Metallurgy and Materials
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Motion estimation by integrated low cost system (vision and MEMS) for positioning of a scooter "Vespa"
Autorzy:: Guarnieri, A.
Milan, N.
Pirotti, F.
Vettore, A.
Powiązania:: https://bibliotekanauki.pl/articles/129827.pdf
Data publikacji:: 2011
Wydawca:: Stowarzyszenie Geodetów Polskich
Tematy:: mobile mapping
orientation sensor
image transformation
IMU
computer vision
czujnik orientacji
przetwarzanie obrazu
wizja komputerowa
Opis:: In the automotive sector, especially in these last decade, a growing number of investigations have taken into account electronic systems to check and correct the behaviour of drivers, increasing road safety. The possibility to identify with high accuracy the vehicle position in a mapping reference frame for driving directions and best-route analysis is also another topic which attracts lot of interest from the research and development sector. To reach the objective of accurate vehicle positioning and integrate response events, it is necessary to estimate time by time the position, orientation and velocity of the system. To this aim low cost GPS and MEMS (sensors can be used. In comparison to a four wheel vehicle, the dynamics of a two wheel vehicle (e.g. a scooter) feature a higher level of complexity. Indeed more degrees of freedom must be taken into account to describe the motion of the latter. For example a scooter can twist sideways, thus generating a roll angle. A slight pitch angle has to be considered as well, since wheel suspensions have a higher degree of motion with respect to four wheel vehicles. In this paper we present a method for the accurate reconstruction of the trajectory of a motorcycle (“Vespa” scooter), which can be used as alternative to the “classical” approach based on the integration of GPS and INS sensors. Position and orientation of the scooter are derived from MEMS data and images acquired by on-board digital camera. A Bayesian filter provides the means for integrating the data from MEMS-based orientation sensor and the GPS receiver.
Źródło:: Archiwum Fotogrametrii, Kartografii i Teledetekcji; 2011, 22; 147-158
2083-2214
2391-9477
Pojawia się w:: Archiwum Fotogrametrii, Kartografii i Teledetekcji
Dostawca treści:: Biblioteka Nauki

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