Prediction of the machine tool errors under quasi-static load: Developing methodology through the synthesis of bottom-up and top-down modeling approach
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
One of the biggest challenges in the manufacturing industry is to increase the understanding of the sources of the errors and their effects on machining systems accuracy. In this thesis a new robust empirical evaluation method is developed to predict the machine tool errors under quasi-static load including the effect of the variation of stiffness in the workspace, the geometric and the kinematic errors. These errors are described through combined computational models for a more accurate assessment of the machine tool’s capability. The purpose of this thesis is to establish such methodology through the synthesis of the bottom-up and the top-down modeling approach, which consists the combination of the direct (single axis measurements by laser interferometer) and indirect (multi-axis measurements by loaded double ball-bar) measurement technics. The bottom-up modeling method with the direct measurement was applied to predict the effects of the geometric and kinematic errors in the workspace of a machine tool. The top-down modeling method with the indirect measurement was employed to evaluate the variation of the static stiffness in the workspace of a machine tool. The thesis presents a case study demonstrating the applicability of the proposed approach. The evaluation technic extended for machine tools with various kinematic structures. The methodology was implemented on a three and a five axis machine tool and the results expose the potential of the approach.
Place, publisher, year, edition, pages
2015. , 58 p.
, Degree Project in Production Engineering Management, Second Level, 665
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-186143OAI: oai:DiVA.org:kth-186143DiVA: diva2:925671