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    Wyświetlanie 1-3 z 3
    Tytuł:
    Advanced helical gear reducer design optimization through nature inspired algorithms
    Autorzy:
    Ebenezer, N. Godwin Raja
    Saravanan, R.
    Ramabalan, S.
    Navaneethasanthakumar, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/1178368.pdf
    Data publikacji:
    2017
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    CS
    DIN Standards
    FA
    GA
    Helical gear reducer design
    MATLAB solvers fmincon
    Nature inspired Algorithms SA
    metaheuristics
    optimization
    Opis:
    In this paper a high power helical gear pair design optimization problem is solved. It is a multi variable, complex non linear problem with derived objective function and constraints. The objective is to minimize the volume of the gear. The design parameters considered are module, face width, number of teeth on drive and driven and helix angle. The various factors for sizing and strength of gear geometry parameters are based on German Institute for Standardization (DIN) Standards. Nature inspired algorithms, namely, Simulated Annealing (SA), Fire fly (FA) and Cuckoo Search (CS) and MATLAB solvers fmincon, GA are used. Simulation results are analysed and compared with literature.
    Źródło:
    World Scientific News; 2017, 77, 2; 267-280
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Worm Gear Drive optimization Considering Industry Constraints Based on Nature Inspired Algorithms
    Autorzy:
    Ebenezer, N. Godwin Raja
    Saravanan, R.
    Ramabalan, S.
    Navaneethasanthakumar, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/1179011.pdf
    Data publikacji:
    2017
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    CS
    FA
    Gear optimization
    Industry relevant constraints
    MATLAB solvers GA
    Nature inspired algorithms SA
    Worm gear drive
    fmincon
    Opis:
    This paper presents a novel method to obtain optimum design for a worm gear drive used in sugar industries taking into account certain constraints of industrial relevance. The objective of this research is to minimize volume of worm gear drive. Gear ratio, face width and pitch circle diameters of worm and worm wheel are considered as design variables. Industry relevant constraints viz. gear strength capacity, wear capacity, thermal capacity, dynamic load, self locking, and face width are considered. Besides this other constraints such as maximum power transmission capacity, centre distances, deflection of worm and beam strength of worm are also considered. Nature inspired optimization algorithms, namely, Simulated Annealing (SA), Firefly (FA), Cuckoo Search (CS) and MATLAB solvers fmincon and GA are used for solving this problem in MATLAB environment. Results of simulation are analysed and presented.
    Źródło:
    World Scientific News; 2017, 87; 205-221
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Determination of Truck Maintenance Allocation Scheme Based on SA-GA
    Autorzy:
    Qiu, Jiandong
    Ren, Wei
    Tang, Minan
    Ma, Panpan
    Zhang, Yang
    Powiązania:
    https://bibliotekanauki.pl/articles/2173924.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    railway transportation
    train-line
    train depot
    maintenance of railway trucks
    renovations
    repair schedule
    SA-GA
    transport kolejowy
    linia kolejowa
    zajezdnia kolejowa
    konserwacja taboru kolejowego
    prace remontowe
    harmonogram remontów
    Opis:
    As an important department of railway transportation and production, large freight train depot is responsible for the regular overhaul and maintenance of railway trucks. The shunting operation of freight train depot covers the whole process of railway trucks entering, storing, overhauling and leaving the depot. It is an important step in the implementation of the maintenance operation. Usually, shunting personnel in the depot transport the trucks to be overhauled to the maintenance line by relying on the shunting operation plan, which is the key to determine the shunting operation plan according to the distribution relationship between vehicles and maintenance. Firstly, this paper analyzes the process of centralized shunting operation in the freight train depot and the factors affecting the time-consuming based on the research idea of flexible workshop scheduling problem. Then, on the premise that the proportion of the weight coefficient will have an impact on the time-consuming of truck busy and shunting in the shunting process, and with the goal of minimizing the time-consuming of truck maintenance busy and shunting, the allocation model between trucks and maintenance lines is established; In addition, an improved genetic algorithm is proposed to solve the established model; Finally, combined with the maintenance of railway trucks in a large freight train depot, an example analysis is carried out on this basis. The results demonstrate that using simulated annealing genetic algorithm to solve the model can obtain the allocation scheme between railway trucks and maintenance operation line. Under the influence of three different coefficients, compared with genetic algorithm, simulated annealing genetic algorithm can reduce the detention time of railway trucks in depot by 0.21%, 0.09% and 0.12% respectively, which is beneficial to reducing the detention time of maintenance vehicles in depot, It plays a positive role in improving the maintenance efficiency of trucks in the depot, and also provides new ideas for the research of railway truck shunting
    Źródło:
    Archives of Transport; 2022, 62, 2; 59--71
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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