scholarly journals Simulation model for uncertainty estimation of measurements performed on five-axis measuring systems

2019 ◽  
Vol 104 (9-12) ◽  
pp. 4685-4696 ◽  
Author(s):  
Piotr Gąska ◽  
Adam Gąska ◽  
Jerzy Sładek ◽  
Jerzy Jędrzejewski
Keyword(s):  
Simulation Model ◽  
Uncertainty Estimation ◽  
Measuring Systems ◽  
Five Axis

scholarly journals Simulation Model for Correction and Modeling of Probe Head Errors in Five-Axis Coordinate Systems

2016 ◽  
Vol 6 (5) ◽  
pp. 144 ◽  
Author(s):  
Adam Gąska ◽  
Piotr Gąska ◽  
Maciej Gruza
Keyword(s):  
Simulation Model ◽  
Coordinate Systems ◽  
Five Axis ◽  
Probe Head

scholarly journals Challenges for Modeling of Five-Axis Coordinate Measuring Systems

2017 ◽  
Vol 7 (8) ◽  
pp. 803 ◽  
Author(s):  
◽  
◽  
Keyword(s):  
Measuring Systems ◽  
Five Axis

Research on the Simulation of NC Milling Program Based on VERICUT Oriented to the Five-Axis Micro-Milling System

2014 ◽  
Vol 599-601 ◽  
pp. 417-421
Author(s):  
Xiang Hui Zhang ◽  
Zhan Wen Sun ◽  
Jin Zhao ◽  
Hua Dong Yu
Keyword(s):  
Simulation Model ◽  
Milling Process ◽  
Micro Milling ◽  
Virtual Machining ◽  
Milling Simulation ◽  
Motion Structure ◽  
Processing Program ◽  
Nc Milling ◽  
Processing Module ◽  
Five Axis

In order to verify the correctness of the NC processing program which is generated by the post processing module of the Independently developed 5-axis micro-milling system, this article analyze the motion structure and obtained the topology relation between the feed shafts of the micro-milling system, established the milling simulation model of the micro-milling system by the VERICUT—the Virtual machining simulation platform. The milling process of an example part with a typical ellipsoid structure has been simulated by the milling simulation model and the correctness of the NC processing program and coordinate transforming relation have been verified by the simulation result.

scholarly journals Assessment of the Impact of Probe Head Hysteresis on the Accuracy of Five-Axis Coordinate Measuring Systems

2017 ◽  
Vol 11 (3) ◽  
pp. 277-282
Author(s):  
Piotr Gąska ◽  
Maciej Gruza ◽  
Adam Gąska ◽  
Wiktor Harmatys ◽  
Jerzy Sładek
Keyword(s):  
Measuring Systems ◽  
Five Axis ◽  
The Impact ◽  
Probe Head

scholarly journals Selection of Optimal Path Control Algorithms for Probe Heads Used on Five-Axis Measuring Systems

2018 ◽  
Vol 8 (12) ◽  
pp. 2455 ◽  
Author(s):  
Adam Gąska ◽  
Piotr Gąska ◽  
Maciej Gruza ◽  
Jerzy Sładek
Keyword(s):  
Path Planning ◽  
Measurement Errors ◽  
Scientific Practice ◽  
Optimal Path ◽  
Measuring Systems ◽  
Factors Affecting ◽  
Path Control ◽  
Five Axis ◽  
The Impact ◽  
Selection Of

The utilization of rotational movements of a probing system during points measurementscontributes to the reduction of measurement duration and increases measurement repeatability.However, knowledge on such behavior and accuracy of probing systems is still unsatisfactory.Machines combined with articulating probing systems that have the ability of continuous indexationbecome redundant systems, which means that the same points can be measured using almost infinitemutual configurations of the machine and probe stylus orientations. Therefore, the proper selectionof inspection path planning method becomes one of the main factors affecting the accuracy of themeasurement. It is possible to assess the impact of this factor on the accuracy of the measurementby comparing the results of the measurements of gauge elements, which are done using differentpath controlling algorithms. After that, the best method for basic measuring tasks can be chosenin order to reduce measurement errors. Measurements of the multi-feature check gauge, using thedefault method for path planning and those chosen on the basis of described experiments, indicatesthat the improvement of accuracy may reach several microns. Results presented in this paper can bedirectly transferred to similar systems and measuring tasks, which are commonly met in industrialand scientific practice.

scholarly journals Uncertainty Estimation of HEC-HMS Flood Simulation Model using Markov Chain Monte Carlo Algorithm

2017 ◽  
Vol 8 (15) ◽  
pp. 235-249
Author(s):  
مه روز نورعلی ◽  
بیژن قهرمان ◽  
محسن پوررضا بیلندی ◽  
کامران داوری ◽  
◽  
...  
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Markov Chain Monte Carlo ◽  
Simulation Model ◽  
Uncertainty Estimation ◽  
Monte Carlo Algorithm ◽  
Flood Simulation
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