Change search
ReferencesLink to record
Permanent link

Direct link
Loaded double ball bar for capability testing of NC machine tools
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.
Scania CV AB, Production Engineering Research, Södertälje, Sweden.
CE Johansson AB, Eskilstuna, Sweden.
(English)In: Mechanical systems and signal processing, ISSN 0888-3270, E-ISSN 1096-1216Article in journal (Other academic) Submitted
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.

Keyword [en]
Machine tool testing, loaded double ball bar, static stiffness, trend analysis
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-25881OAI: diva2:360401
QC 20101103Available from: 2010-11-03 Created: 2010-11-03 Last updated: 2010-11-03Bibliographically 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.
Trita-IIP, ISSN 1650-1888 ; 08-13
Machining systems, modelling
National Category
Engineering and Technology
urn:nbn:se:kth:diva-9754 (URN)978-91-7415-196-1 (ISBN)
2008-12-15, Brinellsalen M312, Brinellvägen 68, KTH, Stockholm, 13:00 (English)
QC 20101103Available from: 2008-12-11 Created: 2008-12-09 Last updated: 2010-11-03Bibliographically approved

Open Access in DiVA

No full text

Search in DiVA

By author/editor
Archenti, AndreasNicolescu, Cornel Mihai
By organisation
Production Engineering
In the same journal
Mechanical systems and signal processing
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 273 hits
ReferencesLink to record
Permanent link

Direct link