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Wyszukujesz frazę "cutting tool wear" wg kryterium: Temat


Tytuł:
Study on the Impact of Cutting Tool Wear on Machine Tool Energy Consumption
Autorzy:
Roszkowski, Andrzej
Piórkowski, Paweł
Skoczyński, Wacław
Borkowski, Wojciech
Jankowski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/102031.pdf
Data publikacji:
2020
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
energy consumption
cutting tool wear
zużycie energii
zużycie narzędzia skrawającego
Opis:
The paper describes the problem of tool wear in machining processes. The importance of determining and analysing the demand of machining centres for electricity was emphasised and the potential relationship between tool wear and machine energy consumption was indicated. The paper presents the results of the measurements of cutting tool wear on the energy consumption of a machining centre based on the analysis of an actual technological process. The paper presents a method of obtaining and processing large amounts of data. The changes in the form of power consumption by the machine tool depending on the tool operation time and the machining cycle being implemented were shown. The researchers proposed the possibility of using the recorded data to develop an algorithm for automatic diagnosis of catastrophic tool wear. The usefulness of the collected and analysed data in the context of developing a method for determining the machine electricity demand was indicated.
Źródło:
Advances in Science and Technology. Research Journal; 2020, 14, 3; 158-164
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Investigation of Initial Wear Period of Differently Coated Carbide Cutting Tools
Autorzy:
Bartoszuk, M.
Grzesik, W.
Powiązania:
https://bibliotekanauki.pl/articles/99561.pdf
Data publikacji:
2015
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
orthogonal cutting
coatings
tool wear
stainless steel
Opis:
In this paper the results of experimental studies concerning the phenomenon of initial period of the wear of differently coated sintered carbide tools when dry orthogonal cutting of an AISI 321 austenitic stainless steel are presented. The motivation for this study results from the lack of technological guides concerning the optimal choice of coated cutting tools for machining of corrosion resistant austenitic stainless steels. A number of cutting tool inserts with the plane rake face made of a fine H10F sintered carbide substrate with specially deposited TiN, including TiCN, TiAlN, AlTiN and AlCrN single layers were used in wear tests. Both rake and flank faces of the cutting inserts were examined by optical and confocal microscopy after controlled tool wear. The possible wear mechanisms in terms of changes of the tool-chip contact were investigated.
Źródło:
Journal of Machine Engineering; 2015, 15, 4; 37-45
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Multiobjective Performance Investigation of CNT Coated HSS Tool Under the Response Surface Methodology Platform
Autorzy:
Chandru, Manivannan
Selladurai, Velappan
Venkatesh, Chenrayan
Powiązania:
https://bibliotekanauki.pl/articles/2049740.pdf
Data publikacji:
2021
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
carbon nanotube
RSM
cutting forces
cutting tooltip temperature
tool wear
Opis:
The present research employs the statistical tool of response surface methodology (RSM) to evaluate the machining characteristics of carbon nanotubes (CNTs) coated high-speed steel (HSS) tools. The methodology used for depositing carbon nanotubes was Plasma-Enhanced Chemical Vapor Deposition (PECVD). Cutting speed, thickness of cut, and feed rate were chosen as machining factors, and cutting forces, cutting tooltip temperature, tool wear, and surface roughness were included as machining responses. Three-level of cutting conditions were followed. The face-centered, Central Composite Design (CCD) was followed to conduct twenty number of experiments. The speed of cutting and rate of feed have been identified as the most influential variables over the responses considered, followed by the thickness of cut. The model reveals the optimized level of cutting parameters to achieve the required objectives. The confirmation experiments were also carried out to validate the acceptable degree of variations between the experimental results and the predicted one.
Źródło:
Archives of Metallurgy and Materials; 2021, 66, 2; 627-635
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
Dostawca treści:
Biblioteka Nauki
Artykuł
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:
Grindability of selected grades of low-alloy high-speed steel
Autorzy:
Jaworski, J.
Kluz, R.
Trzepieciński, T.
Powiązania:
https://bibliotekanauki.pl/articles/957978.pdf
Data publikacji:
2016
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
austenitization
cutting ability
high-speed steel
tool wear
Opis:
In this paper, we presents the results of investigations studied the cutting ability and grindability of selected high-speed steels. We analysed the effect of the austenitization temperature on the grain size, the amount of retained austenite and percentage of retained austenite in HS3-1-1 steel. Furthermore, the investigations concerned on the efficiency of the keyway broaches during the whole period of operation were carried out. It was found that the value of average roughness parameter increases together with increases in the grinding depth. The investigations also show the influence of tempering conditions on the volume of carbide phases in HS3-1-1 steel.
Źródło:
Advances in Science and Technology. Research Journal; 2016, 10, 31; 222-228
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Contemporary challenges in tool condition monitoring
Autorzy:
Jemielniak, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/99861.pdf
Data publikacji:
2019
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
tool wear monitoring
metal cutting
signal processing
signal feature
Opis:
Implementation of robust, reliable tool condition monitoring (TCM) systems in one of the preconditions of introducing of Industry 4.0. While there are a huge number of publications on the subject, most of them concern new, sophisticated methods of signal feature extraction and AI based methods of signal feature integration into tool condition information. Some aspects of TCM algorithms, namely signal segmentation, selection of useful signal features, laboratory measured tool wear as reference value of tool condition – are nowadays main obstacles in the broad applicationof TCM systems in the industry. These aspects are discussed in the paper, and some solutions of the problems are proposed.
Źródło:
Journal of Machine Engineering; 2019, 19, 1; 48-61
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Characterization of band sawing based on cutting forces
Autorzy:
Thaler, T.
Bric, I.
Bric, R.
Potocnik, P.
Muzic, P.
Govekar, E.
Powiązania:
https://bibliotekanauki.pl/articles/99509.pdf
Data publikacji:
2012
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
band sawing
cutting forces
condition monitoring
tool wear
chatter
Opis:
Band sawing is one of the most efficient methods for which in general it is known that uneven tool wear, chatter and cutting blade defects can affect cutting performance significantly. A data acquisition system was arranged on an industrial band saw machine in order to characterize the band sawing process based on measurements of forces. In this paper, the cutting force signals are analyzed in order to demonstrate important relations to workpiece and cutting blade properties. It is shown that cutting forces contain information about in homogeneity of a cut workpiece. Signals of cutting forces also reveal important properties of blade geometry that is related to uneven blade wear. Discontinuities such as blade welding are clearly evident in force signals and it is shown that unevenness of blade backing geometry can cause a significant variation in forces due to wedging between the workpiece and a blade support. An original method for blade shape extraction from force signals is presented in detail. Paper also reports on chatter phenomena observed at specific cutting conditions. Possible solutions to the addressed problems and phenomena are discussed in the conclusion.
Źródło:
Journal of Machine Engineering; 2012, 12, 1; 41-54
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Effect of the cutting tool geometry on the tool wear resistance when machining Inconel 625
Autorzy:
Zlámal, T.
Hajnyš, J.
Petrů, J.
Mrkvica, I.
Powiązania:
https://bibliotekanauki.pl/articles/103138.pdf
Data publikacji:
2017
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
wear resistance
Inconel 625
cutting tool geometry
entering angle
Opis:
The paper deals with the design of a suitable cutting geometry of a tool for the machining of the Inconel 625 nickel alloy. This alloy is among the hard-to-machine refractory alloys that cause very rapid wear on cutting tools. Therefore, SNMG and RCMT indexable cutting insert were used to machine the alloy. The selected insert geometry should prevent notch wear and extend tool life. The alloy was machined under predetermined cutting conditions. The angle of the main edge and thus the size and nature of the wear changed with the depth of the material layer being cut. The criterion for determining a more suitable cutting geometry was the tool’s durability and the roughness of the machined surface.
Źródło:
Advances in Science and Technology. Research Journal; 2017, 11, 4; 286-293
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Experimentation and Prediction of the Wear of a Cutting Tool in Turning Process
Autorzy:
Merzoug, M.
Benamara, N.
Boulenouar, A.
Bouchouicha, B.
Mazari, M.
Powiązania:
https://bibliotekanauki.pl/articles/356451.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
turning
cutting parameters
tool wear
surface roughness
design of experiments
Opis:
In the present work, the performance of multilayer coated carbide tool was investigated considering the effect of cutting parameters during turning of 34CrMo4 Low alloy steel. It has high strength and creep strength, and good impact tenacity at low temperature. It can work at –110°C to 500°C. And EN 10083-1 34CrMo4 owns high static strength, impact tenacity, fatigue resistance, and hardenability; without overheating tendencies. The objective functions were selected in relation to the parameters of the cutting process: surface roughness criteria. The correlations between the cutting parameters and performance measures, like surface roughness, were established by multiple linear regression models. Highly significant parameters were determined by performing an Analysis of variance (ANOVA). During the experiments flank wear, cutting force and surface roughness value were measured throughout the tool life. The results have been compared with dry and wet-cooled turning. Analysis of variance factors of design and their interactions were studied for their significance. Finally, a model using multiple regression analysis between cutting speed, fee rate and depth of cut with the tool life was established.
Źródło:
Archives of Metallurgy and Materials; 2018, 63, 2; 563-573
1733-3490
Pojawia się w:
Archives of Metallurgy and Materials
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

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