Engel Z, Giergiel J. Dynamika [Dynamics]. In: Mechanika techniczna [ Technical mechanics]. Kraków: Wydawnictwa AGH. , Dynamika lotu, Część I Aerodynamika,. Część II Mechanika lotu. Warszawa: Wydawnictwo WAT.  Engel Zbigniew, Józef Giergiel. , ; ENGEL Z., PIECHOWICZ J., STRYCZNIEWICZ L.: Podstawy wibroakustyki przemysłowej. ; GIERGIEL J.: Drgania mechaniczne. Mechanika, , zeszyt ; JEMIELNIAK K.: Tendencje rozwojowe w diagnostyce stanu.
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Self-excited vibration diagnostics in the machine tool – cutting process system. This monograph presents a summary of the results of works carried out by mechani,a author on diagnosing self-excited vibrations in the machine tool – cutting process system. The author’s attention was directed towards this field of research due to the needs for the improvement of analytical and experimental methods of machine tool dynamics that have been developed at the Institute of Manufacturing Engineering of Szczecin Technical University.
It was also a response to the increasing interest of machine tool designers and users on methods that can limit envel various negative effects of the machine tool self-excited vibration. This type of vibration, which develops in particular cutting conditions, could be the cause of the cutting tool damage, considerable deterioration of the surface of workpieces, the reduction of the life-span of machine tool elements and the life of the tool.
It can also influence the machine operation safety. The self-excited vibration chatter of the mechanical structure of a machine tool is produced by the variable cutting force, which depends in turn on the variability of displacements between the tool and the workpiece This closed loop system machine – tool holder – tool – cutting process -workpiece or shortly: MT-CP – machine tool – cutting process system is continuously supplied with the energy transmitted by the machine tool drives.
This enables the self-excited vibration to develop the state of instability. Prevention of the self-excited vibration development should be based on mechanila profound knowledge of the dynamic behavior of components of the analyzed system.
It is accomplished by analytical examinations of mathematical models of the system components and computer simulations of their motion, as well as the experimental investigations of real machines. The review of a great number of scientific publications concerning the self-excited vibration diagnostics shows that the current knowledge on this subject enables effective detection of the so-called weak points in the machine tool construction that are “responsible” for the insufficient resistance of the machine to the self-excited vibration increase.
It is also possible to plan a cutting process, which is stable, and to detect and monitor cutting instability. A systematic analysis of the methods of influencing the machine tool at different stages of its life is presented in the work and the examples of trial applications of these methods are given. They could be applied at the machine tool design stage to the models or prototypes and at the stage of the machine operation to the gierviel process planning procedures or to the chatter detection and monitoring systems Most of the methods applied for the chatter detection can be used only in laboratory conditions for a particular machine or cutting case The work presents a brief description of the mass – spring – damping system of the machine structure as well as the cutting process modeling methods The problem of engeel and outer modulation “waves collision” is analyzed.
This phenomenon, known also as the “wave regeneration effect”, frequently contributes to chatter in machining. The algorithms for searching for weak points in the machine tool are presented and illustrated with some calculation results.
The analytical or the experimental method can be employed. Their effectiveness has been certified in practical applications leading to the improvement of dynamic properties of several milling machines and two lathes. The solution of the problem of the early detection of cutting instability, needs at first, the determination of proper diagnostic signals, then finding the location of places on the machine tool for the fastening of sensors and choosing their spatial orientation The symptoms of excessive vibration should be defined and the methods necessary for their limit values determination developed.
In this work, gierviel criteria for guergiel evaluation of the quality of the choice of sensor placements are proposed. They are based on the compromise assessment of the level of signals measured by a particular sensor at different vibration modes that are “activated” at different cutting conditions.
The author suggests determining the limit values using the analysis of the distribution of the chosen symptom maximum values the Gumbel distribution measured at stable cutting conditions. The limit value is determined then from the estimated distribution for the accepted value of the probability of false alarms.
Several different chatter indexes are discussed in the work and the effectiveness of ten chosen chatter detection methods is verified based on face milling experiments. The author applied the following measures of effectiveness: During rngel more than twenty different unstable cutting conditions were realized and 32 positions of force and acceleration sensors were chosen for enggel verification of quality of the different measuring points.
It was found that the effective value of nechanika diagnostic signal, its variance and singular values belong to the group of less effective discriminants of chatter The discrete dyadic wavelet transform and wavelet packets appeared to be effective but not as much as the selective assessment of the level of individual components of the diagnostic signal short time Fourier transform STFT.
In the summary it was stressed out that the engwl concerning the ehgel of the results of the conducted investigations should not be extended to gieegiel cutting cases. Being not of a general character, they show however, the way for the development and the choice of mecnanika direction in which effective chatter detection procedures can be developed.
They have become recently a necessary component of CNC systems of machine tools – especially those enabling high speed machining and the micro and mini machine tools.
The perspectives for further research into finding even more effective chatter detection methods are presented. On the Dynamics of Ball End Milling: Modelling of Cutting Forces and Stability Analysis. Analytical Prediction of Stability Lobes in Milling.
Engel giergiel mechanika pdf file download
In-process detection and suppression of chatter marks in milling, Int. Automatic Supervision in Manufacturing, Ed. Tool Condition Monitoring in Broaching.
Cutting Dynamics of High Speed Machining. Wolf Tracks,Vol. Monitoring of Cutting Processes by Vibration Analysis: Exemplary Applications in Grinding and Turning Processes.
Analytical Cutting Force Model. Podstawowe algorytmy statystyki matematycznej. Signal Compression with the Application of Wavelet Transformation. Stability of interrupted cutting by temporal finite element analysis. Theory mechani,a Torsional Chatter in Twist Drills: Model, Stability Analysis and Comparison to Test. Posiedzenie Sekcji w Szczecinie 5, 6 lutegos.
A comparison of orthogonal cutting data from experiments with three different finite element models. Drgania w procesie szlifowania obwodowego – badania i symulacja. Zeszyty Naukowe Katedry Mechaniki Stosowanej,nr 20, s. Statistical Distributions in Engineering.
Podstawy wibroakustycznej diagnostyki maszyn. Computer Simulation for Cylindrical Plunge Grinding. CIRP,Vol 42, nr 1, s. Modele, metody sztucznej inteligencji, zastosowania. Tools Manuf,Vol.
Machine Tools and Manufacture,Vol. The stability of low radial immersion milling. CIRP,Vol 49, nr 1, s. Problemy elektrotechniki teoretycznej i stosowanej.
PS, Szczecins. SPIE, s. Automated Monitoring of Manufacturing Processes, Part 1: Monitoring System Reliability Assessment. Prediction of regenerative chatter by modelling and analysis of high-speed milling. VDI Berichte,nrs. Chaotic Dynamics of the Cutting Process.
Analysis of Stochastic Properties of Cutting Process. On Stability Prediction for Milling. Automatic Chatter Detection in Grinding. Correct Chatter Problems Quickly and Easy.
Accurate modeling and prediction of surface roughness by computer vision in turning operations using an adaptive neuro-fuzzy inference system, Int. Suppression of wheel regenerative grinding vibration by alternating wheel speed. Stochastic Nature of the Grinding Process. Stability of high-speed milling, W: Multiple Chatter Frequencies in Milling Processes.
Machine Tools and Manuf. Radom, grudnias. Commercial Tool Condition Monitoring Systems. Fuzzy adaptive networks in machining process modeling: Dynamics of Production Systems. Nonlinear Time Series Gierbiel.
Analysis of Stochastic Properties of the Grinding Process. Knock It off with the Chattering. Analiza dyskryminacyjna i jej zastosowanie w ekonomii. Advancement of Intelligent Production. Eiji Usui, Elsevier Sci. Cutting Tool Monitoring with a Neural Network.
Machine Tools Automation and Robotics in Mech. Stanki i Instrument,nr 10, s. Untersuchung nichtlinear- dynamischer Effekte in Produktionstechnischen Systemen. Schloss Etelsten bei Bremen A Supervisory Machining Control Example.
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Design Approach and Experiments. Real-time tool breakage monitoring for NC turning and drilling. Machining Process Monitoring and Control: The State of the Art.