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Tytuł:
Analysis and simulation of nonlinear self-excited vibrations in turning
Autorzy:
Zeleny, J.
Repak, T.
Fojtu, P.
Powiązania:
https://bibliotekanauki.pl/articles/1429152.pdf
Data publikacji:
2008
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
machining
machining process
self-excited vibrations
Opis:
Commonly applied theories of self-excited vibrations in machine tools are prevailingly based on frequency domain analysis of linear models and are devoted in most cases only to evaluation of stability limits of strictly linear systems. In this way, the behaviour of more stable or more unstable systems cannot be studied and analyzed. Certain important nonlinear effects cannot be studied as well for limitations connected with classical representation of systems only in the frequency domain. Evaluation of stability by analysis of nonlinear systems in time domain has not been applied until now. The paper shows a new approach based on interpretation of the self-excited vibration systems as nonlinear servo-systems. With this approach, linear and nonlinear systems of any degree of stability can be studied by combination of frequency and time-domain methods. This can considerably contribute to better understanding of complex phenomena in various regimes and special situations.
Źródło:
Journal of Machine Engineering; 2008, 8, 4; 68-79
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Nanofluid assistance in machining processes – properties, mechanisms and applications: a review
Autorzy:
Grzesik, Wit
Powiązania:
https://bibliotekanauki.pl/articles/1429063.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
nanofluid
nanoparticle
machining process
minimum quantity lubrication
Opis:
A special group of hybrid assisted processes termed media-assisted processes which apply liquid media with special additives in the form of nanoparticles supplied to the cutting zone is overviewed. Special attention is paid to minimum quantity lubrication (MQL) technique with the use of nanofluids. In this review paper some important thermal and tribological effects resulting from the applications of various nanoparticles are outlined and compared. The MQL-nano cutting fluid mechanisms (rolling and ploughing) are described. In particular, some important quantitative effects concerning thermal and tribological behaviour of the cutting process as well as surface quality are presented.
Źródło:
Journal of Machine Engineering; 2021, 21, 2; 75-90
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Database of multi-variant machining process plan
Autorzy:
Gola, Ł.
Powiązania:
https://bibliotekanauki.pl/articles/409500.pdf
Data publikacji:
2014
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
Database
multi-variant machining process plan
access
Opis:
This paper presents database of multi-variant machining process plan. This database is a part of CAPP (Computer Aided Process Planning) – prototype system, which was built on the basis of algorithm generating multi-variant process plan. Database was implemented to Microsoft Access 2010.
Źródło:
Research in Logistics & Production; 2014, 4, 3; 201-207
2083-4942
2083-4950
Pojawia się w:
Research in Logistics & Production
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent cyber-physical monitoring and control of I4.0 machining systems – an overview and future perspectives
Autorzy:
Hassan, Mahmoud
Sadek, Ahmad
Attia, M. Helmi
Powiązania:
https://bibliotekanauki.pl/articles/2052195.pdf
Data publikacji:
2022
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machining process
artificial intelligence
modelling
optimisation
tool condition monitoring
Opis:
Rapid evolution in sensing, data analysis, and industrial internet of things technologies had enabled the manufacturing of advanced smart tooling. This has been fused with effective digital inter-connectivity and integrated process control intelligence to form the industry I4.0 platform. This keynote paper presents the recent advances in smart tooling and intelligent control techniques for machining processes. Self-powered wireless sensing nodes have been utilized for non-intrusive measurement of process-born phenomena near the cutting zone, as well as tool wear and tool failure, to increase confidence in the process and tool condition monitoring accuracy. Cyber-physical adaptive control approaches have been developed to optimize the cycle time and cost while eliminating machined part defects. Novel artificial intelligence AI-based signal processing and modeling approaches were developed to guarantee the generalization and practicality of these systems. The paper concludes with the outlook for future work needed for seamless implementation of these developments in industry.
Źródło:
Journal of Machine Engineering; 2022, 22, 1; 5-24
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fuzzy modeling and parametric analysis of non-traditional machining processes
Autorzy:
Chakraborty, Shankar
Das, Partha Protim
Powiązania:
https://bibliotekanauki.pl/articles/406928.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
non-traditional machining process
fuzzy model
process parameter
response
interaction plot
Opis:
The application of artificial intelligence (AI) in modeling of various machining processes has been the topic of immense interest among the researchers since several years. In this direction, the principle of fuzzy logic, a paradigm of AI technique, is effectively being utilized to predict various performance measures (responses) and control the parametric settings of those machining processes. This paper presents the application of fuzzy logic to model two non-traditional machining (NTM) processes, i.e. electrical discharge machining (EDM) and electrochemical machining (ECM) processes, while identifying the relationships present between the process parameters and the measured responses. Moreover, the interaction plots which are developed based on the past experimental observations depict the effects of changing values of different process parameters on the measured responses. The predicted response values derived from the developed models are observed to be in close agreement with those as investigated during the past experimental runs. The interaction plots also play significant roles in identifying the optimal parametric combinations so as to achieve the desired responses for the considered NTM processes.
Źródło:
Management and Production Engineering Review; 2019, 10, 3; 111-123
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Approach for the development of heuristic process planning tool for sequencing NC machining operations
Autorzy:
Berger, U.
Kretschmann, R
Arnold, K P
Minhas, S
Powiązania:
https://bibliotekanauki.pl/articles/1395585.pdf
Data publikacji:
2008
Wydawca:
Polskie Towarzystwo Promocji Wiedzy
Tematy:
machining process planning
NC (numerical control)
graph theory
heuristic algorithm
Opis:
This chapter deals with the process planning for sequencing NC (numerical control) machining operations. This task of selecting and ordering of machining operations is still done manually in principle. In order to overcome this problem, an approach for enabling the automatic preparation of work plans with methods known from the graph theory is introduced in this chapter. Therefore a work plan is mapped into a directed graph in a mathematically defined way. Based on that, it is possible to use algorithms to find the shortest path and a Hamiltonian path inside this directed graph as optimal sequenced solution under given requirements. Thus, the work plan is structured and re-ordered. Finally the corresponding NC machining code will be generated and distributed to the machinery.
Źródło:
Applied Computer Science; 2008, 4, 2; 17-41
1895-3735
Pojawia się w:
Applied Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Preliminary evaluation of the applicability of F, V and AEsignals in diagnosis of ADI machining process
Autorzy:
Myszka, D.
Bombiński, S.
Powiązania:
https://bibliotekanauki.pl/articles/381921.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
austempered ductile iron
machining
diagnosis
ADI machining process
żeliwo sferoidalne
obróbka
diagnostyka
obróbka ADI
Opis:
In this study, a preliminary evaluation was made of the applicability of the signals of the cutting forces, vibration and acoustic emission in diagnosis of the hardness and microstructure of ausferritic ductile iron and tool edge wear rate during its machining. Tests were performed on pearlitic-ferritic ductile iron and on three types of ausferritic ductile iron obtained by austempering at 400, 370 and 320°C for 180 minutes. Signals of the cutting forces (F), vibration (V) and acoustic emission (AE) were registered while milling each type of the cast iron with a milling cutter at different degrees of wear. Based on individual signals from all the sensors, numerous measures were determined such as e.g. the average or maximum signal value. It was found that different measures from all the sensors tested depended on the microstructure and hardness of the examined material, and on the tool condition. Knowing hardness of the material and the cutting tool edge condition, it is possible to determine the structure of the material .Simultaneous diagnosis of microstructure, hardness, and the tool condition is probably feasible, but it would require the application of a diagnostic strategy based on the integration of numerous measures, e.g. using neural networks.
Źródło:
Archives of Foundry Engineering; 2014, 14, 1; 91-96
1897-3310
2299-2944
Pojawia się w:
Archives of Foundry Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Influence of parameters of milling process on the energy consumption of the machine tool
Autorzy:
Borkowski, Wojciech
Skoczyński, Wacław
Piórkowski, Paweł
Jankowski, Tomasz
Roszkowski, Andrzej
Foremniak, Michał
Powiązania:
https://bibliotekanauki.pl/articles/102357.pdf
Data publikacji:
2018
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
energy consumption
machine tools
machining process
energy efficiency
zużycie energii
narzędzia maszynowe
proces obróbki
efektywność energetyczna
Opis:
The article discusses the importance of energy consumption for the modern machine tool. The research was carried out to show the influence of various cutting factors and parameters on the power consumption values of the machine tool. A special algorithm was developed to determine the actual energy consumption of the machine tool during the cutting process. The results of the study were compared with the algorithms of tool companies to determine the machine’s power demand. The possibilities of using research conclusions to develop a more accurate method for assessing the energy demand of a machine tool in the cutting process were indicated.
Źródło:
Advances in Science and Technology. Research Journal; 2018, 12, 3; 24-31
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Process machining allowance for reliability analysis of mechanical parts based on hidden quality loss
Autorzy:
Wang, Jingang
Liu, Xintian
Xu, Wang
Kai, Jin
Powiązania:
https://bibliotekanauki.pl/articles/28086953.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne PAN
Tematy:
reliability analysis
Process machining allowance
hidden quality loss
process capability index
Opis:
The machining allowance variation is significant for the reliability of a part during the machining process. Usually, when the machining allowance of a part increases, the machining and production cost also increase. When the machining allowance decreases, the machining surface will have defects. The parts will produce manyscraps andreliability will decrease. The machining allowance of a part consists of multiple process machining allowances. To analyze the impact caused by machining allowance variation, the hidden quality loss and process machining allowance are combined through theprocess capability index (PCI). Then the asymmetric quadratic quality loss function (AQF) and quadratic exponential function (QEF) are used to analyze them. A prediction model of hidden quality loss of process machining allowance is proposed. On the premise that the quality characteristic value obeys normal function distribution, a numerical model is given and used to obtain process machining allowance-inherent reliability of the product. The actual case is used to compare and verify the two models.
Źródło:
Eksploatacja i Niezawodność; 2023, 25, 4; art. no. 171594
1507-2711
Pojawia się w:
Eksploatacja i Niezawodność
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A study of low-frequency vibration-assisted bandsawing of metallic parts
Autorzy:
Tandler, Tobias
Stehle, Thomas
Möhring, Hans-Christian
Powiązania:
https://bibliotekanauki.pl/articles/24084667.pdf
Data publikacji:
2023
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
cutting process
machining
metal cutting
Opis:
Sawing is often the first work step in the metal cutting production chain. Especially for larger workpieces, bandsawing is used for this purpose. Nevertheless, studies on sawing have led a niche existence in the research landscape for a long time. However, as a result of the optimization of manufacturing processes in terms of economic efficiency, bandsawing is increasingly becoming the focus of research, since there are still saving potentials here. The aim of this paper is to investigate the extent to which the bandsawing process can be influenced by active, low-frequency vibration superimposition in the feed direction. First, analogue tests were carried out and parameter combinations were determined which have a positive influence on the process. Subsequently, these parameter combinations were investigated on a real sawing machine with an excitation unit, analysing the extent to which the results from the analogue tests could be transferred to the real process.
Źródło:
Journal of Machine Engineering; 2023, 23, 2; 110-122
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modeling the Work of Multi-spindle Machining Centers with the Petri Nets
Autorzy:
Stryczek, Roman
Powiązania:
https://bibliotekanauki.pl/articles/24200521.pdf
Data publikacji:
2023
Wydawca:
Polska Akademia Nauk. Czasopisma i Monografie PAN
Tematy:
stochastic petri nets
machining center
process modeling
process simulation
Opis:
The article presents the results of the simulation studies concerning the impact of random production interruptions on the efficiency of multi-spindle machining centers. Four different machining center configuration models were developed using a dedicated class of stochastic Petri nets. In addition to the number of machine spindles, the number of simultaneously mounted parts, loading time of parts, their machining time, and reliability parameters regarding the frequency of machine interruptions caused by random factors were also taken into account as model parameters. A series of virtual tests was carried out for machining processes over a period of 1000 hours of operation. Analysis of the results confirmed the purpose of conducting simulation tests prior to making a decision regarding the purchase of a multispindle milling center. This work fills the existing research gap, as there are no examples in the technical literature of evaluating the effectiveness of multi-spindle machining centers.
Źródło:
Management and Production Engineering Review; 2023, 14, 3; 16--26
2080-8208
2082-1344
Pojawia się w:
Management and Production Engineering Review
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
En route to intelligent wood machining – current situation and future perspectives
Autorzy:
Möhring, H.-Christian
Eschelbacher, Sarah
Güzel, Kamil
Kimmelmann, Martin
Schneider, Matthias
Zizelmann, Christoph
Häusler, Andreas
Menze, Christian
Powiązania:
https://bibliotekanauki.pl/articles/99542.pdf
Data publikacji:
2019
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
wood machining
process optimisation
monitoring and control
Opis:
Wood materials are an important part of our daily life. Besides furniture, doors and window elements, parquet floors, veneering, ply wood, chip- and fibreboards, also structural elements for buildings are typical products. Due to the specific properties, variety and complexity of natural wood, wood materials and wood composites, the machining of parts made out of these materials exhibits specific challenges. In order to further improve productivity, quality and efficiency in wood machining, innovative solutions with respect to tool technology, process planning, machinery, process monitoring and intelligent control are necessary. This keynote paper reviews and summarizes scientific developments in wood machining in recent years. Furthermore, exemplary current an ongoing research activities are introduced. Finally, the paper presents and discusses future potentials regarding new approaches for intelligent process control in wood machining.
Źródło:
Journal of Machine Engineering; 2019, 19, 4; 5-26
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparative Analysis of the Production Process of a Flange-Type Product by the Hybrid and Traditional Method with the Use of Simulation Methods
Autorzy:
Terelak-Tymczyna, Agnieszka
Bachtiak-Radka, Emilia
Jardzioch, Andrzej
Powiązania:
https://bibliotekanauki.pl/articles/2067547.pdf
Data publikacji:
2022
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
machining
hybrid machining
VSM
SLM
process simulation
cost of the production
energy analysis
Opis:
In the era of Industry 4.0, the digitization of production processes is one of the important elements contributing to the reduction of uncertainty related to the implementation of new production methods. The worldwide epidemic situation and its constraints have resulted in supply chain continuity problems. These problems make enterprises look for the possibility of producing products that they need at the moment and which they cannot obtain from the market. In special cases, this may also apply to spare parts necessary to maintain the continuity of production. The main reason for research on comparing production processes is meeting the challenges related to the pandemic situation and problems in maintaining timeliness, flexibility, and continuity of the supply chain. The first stage of the research was to visualize the course of the process and determine the lead times for both production methods. For further analysis, a digital process model was used to compare the hybrid and the classical method to check the viability of the interchangeability of methods for the production process of the flange part. The interchangeability of production methods was dictated by problems related to the supply of components for the execution of orders. The article simulates the model for unit and small-lot production in batches of 10 and 100 pieces, considering such aspects as: order completion time, energy consumption of the process, production costs, taking into account the classic and hybrid methods. The conducted research was aimed at determining the profitability of the production of flange-type products by means of classical processing and hybrid and checking the interchangeability of production methods in accordance with quality requirements as well as reducing uncertainty with the implementation of new production systems in changing market conditions. The simulations show that the use of hybrid production is recommended for unit production. In the case of small-lot production, already with 10 items, production in the traditional process is 21% cheaper, and for the production of 100 items, the cost of traditional production is reduced by 33% compared to hybrid production.
Źródło:
Advances in Science and Technology. Research Journal; 2022, 16, 1; 231--242
2299-8624
Pojawia się w:
Advances in Science and Technology. Research Journal
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent control system for HSM
Autorzy:
Vallejo, A.
Morales-Menendez, R.
Elizalde-Siller, H.
Powiązania:
https://bibliotekanauki.pl/articles/384709.pdf
Data publikacji:
2009
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
Markov decision process
optimization
high-speed machining
milling process
neural network
Opis:
Next-generation of High-Speed Machining (HSM) systems demand advanced features such as intelligent control under uncertainty. This requires, in turn, an efficient administration and optimization of all system's resources towards a previously identified objective. This work presents an optimization system based on Markov Decision Process (MDP), where an intelligent control guides the actions of the operator in peripheral milling processes. Early results suggest that MDP framework can cope with this application, yielding several benefits, which are discussed in detail. Future work will address the full integration of the developed optimization scheme within a commercial machining center.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 3; 54-63
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Autonomous machining – recent advances in process planning and control
Autorzy:
Dittrich, Marc-André
Denkena, Berend
Boujnah, Haythem
Uhlich, Florian
Powiązania:
https://bibliotekanauki.pl/articles/99503.pdf
Data publikacji:
2019
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine tool
process planning
adaptive machining
machine learning
Opis:
While autonomous driving has come close to reality over the recent years, machining is still characterised by many manual tasks and prone to costly errors. In this article, an overview is given about the potential of autonomous machining and uprising technologies that support this vision. For that purpose, a definition of autonomous machine tools and the required elements is presented. Next, selected elements of an autonomous machine tool, e.g. sensory machine components and control loops, are discussed. Finally, some insights into ongoing research projects regarding the use of machine learning for process planning and control are given.
Źródło:
Journal of Machine Engineering; 2019, 19, 1; 28-37
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
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