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R eferences [1] Acko, B. (2007). Calibration of measuring instruments on a coordinate measuring machine. Advances in Production Engineering and Management, 2 (4), 127-34. [2] Larue, J.-F., Brown, D., Viala, M. (2015). How optical CMMs and 3D scanning will revolutionize the 3D metrology world. In Integrated Imaging and Vision Techniques for Industrial Inspection . Springer, 141-176. [3] Zhang, K., Zhang, Q., Lin, C.-D., Fan, K.-C. (2015). A visual non-contact focusing probe for the measurement of micro cavities. International Journal of Nanomanufacturing , 11

Abstract

Due to the variety of measurement tasks and the complexity of the errors of coordinate measuring machine (CMM), it is very difficult to reasonably evaluate the uncertainty of the measurement results of CMM. It has limited the application of CMM. Task oriented uncertainty evaluation has become a difficult problem to be solved. Taking dimension measurement as an example, this paper puts forward a practical method of uncertainty modeling and evaluation of CMM task oriented measurement (called SVCMM method). This method makes full use of the CMM acceptance or reinspection report and the Monte Carlo computer simulation method (MCM). The evaluation example is presented, and the results are evaluated by the traditional method given in GUM and the proposed method, respectively. The SVCMM method is verified to be feasible and practical. It can help CMM users to conveniently complete the measurement uncertainty evaluation through a single measurement cycle.

REFERENCES [1] Gapiński B., Wieczorowski M., Grzelka M., Arroyo Alonso P., Bermúdez Tomé A., The application of micro CT to assess quality of workpieces manufactured by means of rapid prototyping, Polimery, 62, 1, 2017, 53-59. [2] Gapinski B., Wieczorowski M., Marciniak-Podsadna L., Dybala B., Ziolkowski G., Comparison of Different Methods of Measurement Geometry Using CMM, Optical Scanner and Computed Tomography 3D, Procedia Engineering, 69, 2014, 255–262. [3] Michalski R., Glazowski P., Wpływ błędu MPEE na dokładność pomiaru współrzędnościowej maszyny

on Changeable, Agile, Econfigurable and Virtual Production (Carv2016), Book Series: Procedia CIRP, 52, 268-273. Neuron Soft, 2019 (1). CMMS Maszyna Next Generation , accessed on 10.10.2019, http://www.neuron.com.pl/pliki/cmms_poradnik.pdf . Neuron Soft, 2019 (2). GOLEMPOP , accessed on 10.10.2019, http://www.neuron.com.pl/golemnh/index.html . Ożadowicz A., 2012. Utrzymanie ruchu , 9/2006. Pomietlorz-Loska M., Byrska-Bienias K., 2016. Metody i techniki zarządzania utrzymaniem ruchu: studium przypadku , in: Knosala R. (ed.), Innowacje w zarządzaniu i inżynierii

References [1] Cauchick-Miguel, P., King, T., Abackerli, A. (1998). A review on methods for probe performance verification. Measurement , 23 (1), 15-33. [2] Chan, F.M.M., Davis, E.J., King, T.G., Stout, K.J. (1997). Some performance characteristics of a multiaxis touch trigger probe. Measurement Science and Technology , 8 (8), 837-848. [3] Cauchick-Miguel, P.A., King, T., Abackerli, A.J. (2003). CMM touch trigger performance verification using a probe test apparatus. Journal of the Brazilian Society of Mechanical Sciences and Engineering , 25 (2). [4] Cauchick

References Weckenmann, A., Estler, T., Peggs, G., McMurtry, D. (2004). Probing systems in dimensional metrology. CIRP Annals-Manufacturing Technology, 53 (2), 657-684. Woźniak, A., Dobosz, M. (2005). Influence of measured objects parameters on CMM touch trigger probe accuracy of probing. Precision Engineering, 29 (3), 290-297. Woźniak, A., Mayer, J. R. R., Bałaziński, M. (2009). Stylus tip envelop method: corrected measured point determination in high definition coordinate metrolog. Int. Journal of Advanced Manufacturing Technology, 42, 505-514. Wu, Y., Liu, S

Technology, 23, 094016. [7] Stone, J., Muralikrishnan, B., Sahay, C. (2011).Geometric effects when measuring small holes with micro contact probes. Research of the National Institute of Standards and Technology, 116, 573-587. [8] Muralikrishnan, B., Stone, J., Stoup, J. (2006). Fiber deflection probe for small hole metrology. Precision Engineering, 30, 154-164. [9] Stone, J., Muralikrishnan, B., Stoup, J. (2005). A fiber probe for CMM measurements of small features. In Recent Developments in Traceable Dimensional Measurement III. Proc. SPIE 5879, 254-264. [10] Wozniak, A

References ISO 10360-4 (2000). Geometrical Product Specifications (GPS) — Acceptance And Reverification Tests for Coordinate Measuring Machines (CMM) — Part 4: CMMs Used in Scanning Measuring Mode. ISO 11562 (1996). Geometrical Product Specifications (GPS) — Surface Texture: Profile Method — Metrological Characteristics of Phase Correct Filters. Geneva, Switzerland: International Organization for Standardization. ISO 68-1. (1998). ISO General Purpose Screw Threads — Basic Profile — Metric Screw Threads. Geneva, Switzerland: International Organization for

Abstract

Nowadays, simulators facilitate tasks performed daily by the engineers of different branches, including coordinate metrologists. Sometimes it is difficult or almost impossible to program a Coordinate Measuring Machine (CMM) using standard methods. This happens, for example, during measurements of nano elements or in cases when measurements are performed on high-precision (accurate) measuring machines which work in strictly air-conditioned spaces and the presence of the operator in such room during the programming of CMM could cause an increase in temperature, which in turn could make it necessary to wait some time until conditions stabilize. This article describes functioning of a simulator and its usage during Coordinate Measuring Machine programming in the latter situation. Article also describes a general process of programming CMMs which ensures the correct machine performance after starting the program on a real machine. As an example proving the presented considerations, measurement of exemplary workpiece, which was performed on the machine working in the strictly air-conditioned room, was described

Towards E-Learning Capability Maturity Model

In the software development Capability Maturity Model (CMM) is a methodology for constantly optimizing organization's software development processes in order to meet project deadlines and customers' satisfaction in more efficient way. Nowadays e-learning becomes a valuable business tool not only for reducing costs and improving employees' competences in specific business areas but also for creating considerable Return on Investment (ROI) for the businesses. More and more companies choose an e-learning environment over classic classroom learning. When more companies are implementing e-learning it is time to create a common workplace e-learning CMM which defines the framework and best practices for e-learning business processes that can be used as standard and guidelines for companies which are starting e-learning projects as well as companies practicing e-learning. The paper proposes e-learning implementation and maintenance business processes incorporated in the classic PDCA cycle consisting of four e-learning project phases - e-learning project planning, e-learning system implementation, e-learning monitoring and e-learning optimization.