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    Wyświetlanie 1-5 z 5
    Tytuł:
    A review on machinability in the milling processes
    Autorzy:
    Demirpolat, Havva
    Kuntoğlu, Mustafa
    Binali, Rüstem
    Powiązania:
    https://bibliotekanauki.pl/articles/34656168.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Opolska
    Tematy:
    milling process
    cutting force
    surface roughness
    tool wear
    Opis:
    This review paper focuses on the up-to-date machinability characteristics of milling processes such as cutting forces, surface roughness and tool wear and their impacts on the cutting mechanism. The methodology pur-sued in this paper is to analyze the previous research articles published between 2019–2022 classifying them into the subcategoriesthat usemill-ing operation as manufacturing strategy. As known, milling is one of the most used machining processes in industry and often applied for academic studiesforawide range of materials. Therefore, used sensor systems, main aim and the preferred methodology were summarized in the context of this paper. Seemingly, a great number of machinability papers have been published recently which focuses on the several types of engineering ma-terials and utilized various types of sensor system to improve the surface roughness and tool life. In addition, the investigation showed that optimi-zation approaches have been applied broadly to detect the best machining conditions. Also, it was observed that several modeling approaches such as finite element analysis is a good alternative to analyze the process.
    Źródło:
    Sustainable Production, Instrumentation and Engineering Sciences; 2023, 1, 1; 27-36
    2956-6711
    Pojawia się w:
    Sustainable Production, Instrumentation and Engineering Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A tool wear condition monitoring approach for end milling based on numerical simulation
    Autorzy:
    Zhu, Qinsong
    Sun, Weifang
    Zhou, Yuqing
    Gao, Chen
    Powiązania:
    https://bibliotekanauki.pl/articles/1841690.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
    Tematy:
    tool wear
    sample missing
    sample insufficiency
    numerical simulation
    cutting force
    Opis:
    As an important research area of modern manufacturing, tool condition monitoring (TCM) has attracted much attention, especially artificial intelligence (AI)- based TCM method. However, the training samples obtained in practical experiments have the problem of sample missing and sample insufficiency. A numerical simulation- based TCM method is proposed to solve the above problem. First, a numerical model based on Johnson-Cook model is established, and the model parameters are optimized through orthogonal experiment technology, in which the KL divergence and cosine similarity are used as the evaluation indexes. Second, samples under various tool wear categories are obtained by the optimized numerical model above to provide missing samples not present in the practical experiments and expand sample size. The effectiveness of the proposed method is verified by its application in end milling TCM experiments. The results indicate the classification accuracies of four classifiers (SVM, RF, DT, and GRNN) can be improved significantly by the proposed TCM method.
    Źródło:
    Eksploatacja i Niezawodność; 2021, 23, 2; 371-380
    1507-2711
    Pojawia się w:
    Eksploatacja i Niezawodność
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Simulation Testing of the Machine Tool Equipped With the Active Feed Drive
    Autorzy:
    Sveda, J.
    Valasek, M.
    Sika, Z.
    Powiązania:
    https://bibliotekanauki.pl/articles/971162.pdf
    Data publikacji:
    2009
    Wydawca:
    Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
    Tematy:
    machine tool
    feed drive
    control loop simulation
    cutting force
    vibration suppression
    Opis:
    The vibration of a machine tool is mainly caused by the dynamic acceleration of a motion axis and by the forces that act on it. All the disturbance forces are transmitted to the machine tool frame through the drive (motor) and its regulation loop and they excite its vibrations. Thus the achievable dynamics and machining quality is negatively influenced. There are several possibilities how to suppress the excited vibrations including the recently introduced "motor on motor" technique which is based on the serial connection of two linear motors. This paper presents new simulation results performed on the simulation model of a real machine tool. The maximal achievable tuning of the regulation loop parameters of the motion axis equipped with the "motor on motor" technique was confronted with the conventional feed drive setting. The "motor on motor" feed drive properties were also tested in the virtual machining operation mode where the real measured cutting force was used. The sensitivity analysis of the reaction force and the middle mass movement of the "motor on motor" feed drive solution to the predicted cutting force introduced to the feed drive control has been investigated. The middle mass is represented by the shared part of both linear motors which absorbs the high frequency part of the reaction force by its movement.
    Źródło:
    Journal of Machine Engineering; 2009, 9, 2; 81-92
    1895-7595
    2391-8071
    Pojawia się w:
    Journal of Machine Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Diagnosis of edge condition based on force measurement during milling of composites
    Autorzy:
    Felusiak, A
    Twardowski, P.
    Powiązania:
    https://bibliotekanauki.pl/articles/94186.pdf
    Data publikacji:
    2018
    Wydawca:
    Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
    Tematy:
    neural network
    metal matrix composite
    cutting force
    tool wear
    sieć neuronowa
    kompozyt metalowy
    siła cięcia
    zużycie narzędzia
    Opis:
    The present paper presents comparative results of the forecasting of a cutting tool wear with the application of different methods of diagnostic deduction based on the measurement of cutting force components. The research was carried out during the milling of the Duralcan F3S.10S aluminum-ceramic composite. Prediction of the tool wear was based on one variable, two variables regression, Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks. Forecasting the condition of the cutting tool on the basis of cutting forces has yielded very satisfactory results.
    Źródło:
    Archives of Mechanical Technology and Materials; 2018, 38; 8-14
    2450-9469
    Pojawia się w:
    Archives of Mechanical Technology and Materials
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    A new aspects of hard machining using CBN tools with variable tool corner radius and tool wear effect
    Nowe aspekty skrawania na twardo narzędziami z CBN ze zmiennym promieniem naroża i efektem zużycia ostrza
    Autorzy:
    Grzesik, W.
    Żak, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/175910.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    hardened steel
    tool corner radius
    cutting force
    specific cutting energy
    cutting power
    surface roughness
    surface material ratio
    stal utwardzona
    promień naroża ostrza
    składowe siły skrawania
    energia właściwa skrawania
    moc skrawania
    chropowatość powierzchni
    udział materiałowy powierzchni
    Opis:
    In this paper some important mechanical cutting characteristics such as cutting forces, specific cutting energy and cutting power were determined when finish turning of hardened 41Cr4 alloy steel and AISI 52100 and JIS-SUJ2 bearing steels using CBN tools with variable tool corner radius based on the experimental study and literature data. The tool corner radius was varied from 400 to 2400 µm and, in addition, flank wear effect was taken into account. Moreover, surface roughness produced by CBN tools with different tool corner radius was compared and surface finish obtained was characterized in terms of potential functional performance. As a result, the changes of Ra and Rz roughness parameters and relevant material distribution curves and bearing parameters in the form of Symmetrical Curve of Geometrical Contact (SCGC) are presented.
    W pracy określono niektóre charakterystyki procesu skrawania m.in. składowe siły, energię właściwą i moc skrawania w wykańczającym toczeniu utwardzonej stali stopowej 41Cr4 oraz stali łożyskowej AISI 52100 i JIS-SUJ2 narzędziami z CBN o zmiennym promieniu naroża. W analizie wyników uwzględniono dane doświadczalne i literaturowe. Stosowano promień naroża w zakresie od 400 do 2400 µm. Ustalono również wpływ zużycia ostrza na powierzchni przyłożenia. Dodatkowo, porównano chropowatość powierzchni generowaną ostrzami z CBN o zmiennym promieniu naroża oraz potencjalne właściwości eksploatacyjne powierzchni. Uzyskano zmianę zależności parametrów chropowatości powierzchni Ra i Rz oraz parametrów udziału materiałowego w postaci symetrycznych krzywych kontaktu geometrycznego (SCGC) powierzchni – krzywych Kaczmarka.
    Źródło:
    Advances in Manufacturing Science and Technology; 2017, 41, 1; 5-20
    0137-4478
    Pojawia się w:
    Advances in Manufacturing Science and Technology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-5 z 5

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