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Loaded double ball bar for capability testing of NC machine tools
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion.ORCID-id: 0000-0001-9185-4607
KTH, Skolan för industriell teknik och management (ITM), Industriell produktion.
Scania CV AB, Production Engineering Research, Södertälje, Sweden.
CE Johansson AB, Eskilstuna, Sweden.
(engelsk)Manuskript (preprint) (Annet vitenskapelig)
Abstract [en]

This paper presents a novel test device for the evaluation of the accuracy of NC machine tools. The design concept is similar to a double ball bar (DBB) with the difference that an adjustable load generated by the device can be applied between spindle nose and machine tool table. This load eliminates the play existing in machine tool joints, thus reproducing the testing conditions that exist during machining. Collected data can be used to plot diagrams displaying important aspects of machine tool performance and a number of key figures such as static stiffness may be determined. The data can also be used for trend analysis; to predict any accuracy problems, and further to conduct preventive maintenance instead of emergency calls. The determined static behaviour could also be used to improve digital models for process simulations and compensation of errors caused by deflection.

Emneord [en]
Machine tool testing, loaded double ball bar, static stiffness, trend analysis
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-25881OAI: oai:DiVA.org:kth-25881DiVA, id: diva2:360401
Merknad

QC 20101103

Tilgjengelig fra: 2010-11-03 Laget: 2010-11-03 Sist oppdatert: 2018-02-12bibliografisk kontrollert
Inngår i avhandling
1. Model-Based Investigation of Machining Systems Characteristics: Static and Dynamic Stability Analysis
Åpne denne publikasjonen i ny fane eller vindu >>Model-Based Investigation of Machining Systems Characteristics: Static and Dynamic Stability Analysis
2008 (engelsk)Licentiatavhandling, med artikler (Annet vitenskapelig)
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.

sted, utgiver, år, opplag, sider
Stockholm: KTH, 2008. s. ix, 62
Serie
Trita-IIP, ISSN 1650-1888 ; 08-13
Emneord
Machining systems, modelling
HSV kategori
Identifikatorer
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 (engelsk)
Opponent
Veileder
Merknad
QC 20101103Tilgjengelig fra: 2008-12-11 Laget: 2008-12-09 Sist oppdatert: 2010-11-03bibliografisk kontrollert

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