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Model-based Identification of Dynamic Stability of Machining System
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.ORCID iD: 0000-0001-9185-4607
KTH, School of Industrial Engineering and Management (ITM), Production Engineering.
2008 (English)In: 1st International Conference on Process Machine Interaction - Proceedings, 2008, 41-52 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2008. 41-52 p.
Keyword [en]
Machining system, modelling, dynamic stability, in-process identification
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-25878OAI: oai:DiVA.org:kth-25878DiVA: diva2:360395
Conference
1st International Conference on Process Machine Interaction, Hannover, Germany, 2008
Note
QC 20101103Available from: 2010-11-03 Created: 2010-11-03 Last updated: 2011-11-23Bibliographically approved
In thesis
1. Model-Based Investigation of Machining Systems Characteristics: Static and Dynamic Stability Analysis
Open this publication in new window or tab >>Model-Based Investigation of Machining Systems Characteristics: Static and Dynamic Stability Analysis
2008 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

The increasing demands for precision and efficiency in machining call for new control strategies for machining systems based on the identification of static and dynamic characteristics under operational conditions. By considering the machining system as a closed-loop system consisting of a machine tool structure and a machining process, the join system characteristics can be analyzed. The capability of a machining system is mainly determined by its static and dynamic stiffness.

The goal of this thesis is to introduce some concepts and methods regarding the identification of machining system stability. Two methods are discussed, one for the static behaviour analysis of a machine tool, and one for dynamic stability of a machining system. Preliminary results are indicating unambiguous identification of capabilities of machining systems static and dynamic characteristics.

The static behaviour of a machine tool is evaluated by use of a loaded double ball bar (LDBB) device. The device reproduces the real interaction between the join system, the machine tool elastic structure and the cutting process. This load is not equivalent to real cutting forces, but it does have a similar effect on the structure. This has been investigated both trough simulation and experimental work.

It is possible to capture the process – ­machine interaction in a machining system by use of the model-based identification approach. The identification approach takes into consideration this interaction and can therefore be used to characterize the machining system under operational conditions. The approach provides realistic prerequisites for in-process machining system testing. The model parameters can be further employed for control and optimization of the cutting process. Using different classification schemes, the model-based identification method is promising for the detection of instability.

Furthermore, it is the author’s belief that a model-based stability analysis approach is needed to exploit the full potential of a model driven parts manufacturing approach.

Place, publisher, year, edition, pages
Stockholm: KTH, 2008. ix, 62 p.
Series
Trita-IIP, ISSN 1650-1888 ; 08-13
Keyword
Machining systems, modelling
National Category
Engineering and Technology
Identifiers
urn:nbn:se:kth:diva-9754 (URN)978-91-7415-196-1 (ISBN)
Presentation
2008-12-15, Brinellsalen M312, Brinellvägen 68, KTH, Stockholm, 13:00 (English)
Opponent
Supervisors
Note
QC 20101103Available from: 2008-12-11 Created: 2008-12-09 Last updated: 2010-11-03Bibliographically approved
2. A Computational Framework for Control of Machining System Capability: From Formulation to Implementation
Open this publication in new window or tab >>A Computational Framework for Control of Machining System Capability: From Formulation to Implementation
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Comprehensive knowledge and information about the static and dynamic behaviour of machine tools, cutting processes and their interaction is essential for machining system design, simulation, control and robust operation in safe conditions. The very complex system of a machine tool, fixture and cutting tools during the machining of a part is almost impossible to model analytically with sufficient accuracy. In combination with increasing demands for precision and efficiency in machining call for new control strategies for machining systems. These strategies need to be based on the identification of the static and dynamic stability under both the operational and off-operational conditions. To achieve this it is necessary to monitor and analyze the real system at the factory floor in full production. Design information and operational data can then be linked together to make a realistic digital model of a given machining system. Information from such a model can then be used as input in machining simulation software to find the root causes of instability.

The work presented in this thesis deals with the static and dynamic capability of machining systems. The main focus is on the operational stability of the machining system and structural behaviour of only the machine tool, as well.

When the accuracy of a machining system is measured by traditional techniques, effects from neither the static stiffness nor the cutting process are taken into account. This limits the applicability of these techniques for realistic evaluation of a machining system’s accuracy. The research presented in this thesis takes a different approach by introducing the concept of operational dynamic parameters. The concept of operational dynamic parameters entails an interaction between the structural elements of the machining systems and the process parameters. According to this concept, the absolute criterion of damping is used to evaluate the dynamic behaviour of a machining system. In contrast to the traditional theory, this methodology allows to determine the machining system's dynamic stability, in real time under operating conditions. This framework also includes an evaluation of the static deformations of a machine tool.  In this context, a novel concept of elastically linked system is introduced to account for the representation of the cutting force trough an elastic link that closes the force loop. In addition to the elastic link which behaves as a static element, a dynamic non-contact link has been introduced. The purpose is to study the non-linear effects introduced by variations of contact conditions in joints due to rotational speed.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2011. xv, 97 p.
Series
Trita-IIP, ISSN 1650-1888 ; 11:11
Keyword
Machining system, Stability, Statistical Dynamics, Elastic Linked System (ELS), Operational Dynamic Parameters (ODP), Loaded Double Ball Bar (LDBB), Virtual Machining System Engine (VMSE), Contactless Excitation and Response System (CERS).
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
SRA - Production
Identifiers
urn:nbn:se:kth:diva-48824 (URN)978-91-7501-162-2 (ISBN)
Public defence
2011-12-05, F3, Lindstedtsvägen 26, KTH, Stockholm, 09:00 (English)
Opponent
Supervisors
Funder
XPRES - Initiative for excellence in production research
Note
QC 20111123Available from: 2011-11-23 Created: 2011-11-23 Last updated: 2012-06-19Bibliographically approved

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Archenti, Andreas

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