Development of a parametric model and virtual machine to estimate task specific measurement uncertainty for a five-axis multi-sensor coordinate measuring machine

Pritika, Ramu,; Yagüe, J.A.; Hocken, Robert J.; Miller, Jimmie A.

doi:10.1016/j.precisioneng.2011.01.003

Cited by 30 publications

(18 citation statements)

References 12 publications

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“…At present, the uncertainty of CMM measurement task is mainly evaluated according to the relevant standards [17][18][19] of GPS. The uncertainty of the CMM specific task can also be evaluated according to Section 7 and related research results [20][21][22][23][24][25]. The drawing and specification of the workpiece measured are shown in Figure 8.…”

Section: Resultsmentioning

confidence: 99%

Calculation of Misjudgment Probability for Product Inspection Based on Measurement Uncertainty

Chen

Cheng

Wang

et al. 2017

Mathematical Problems in Engineering

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It is important to research into the misjudgment probability of product inspection based on measurement uncertainty, which is of great significance to improve the reliability of inspection results. This paper mainly focused on total inspection and sampling inspection methods and regarded the misjudgment probability as the index to provide quantitative misjudgment risk results for both producer and consumer sides. Through the absolute probability and the conditional probability model, the estimation formula of the total inspection misjudgment rate is deduced, respectively, and the calculation methods of qualification determination and misjudgment rate of the full inspection results are studied. According to the total inspection misjudgment rate, the methods of misjudgment rate of sampling inspection and qualification determination of measurement results are researched. The misjudgment rate of measurement results is calculated based on the exhaustive method and the Monte-Carlo simulation. The estimation results show that the misjudgment probabilities calculated by absolute probability models can be used as the basis for the selection of the measurement plan for product inspection. The misjudgment probability calculated by conditional probability models is more directly to reflect the risks for both producer and consumer sides, and it prompts inspectors to make decisions more carefully.

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Section: Resultsmentioning

confidence: 99%

Calculation of Misjudgment Probability for Product Inspection Based on Measurement Uncertainty

Chen

Cheng

Wang

et al. 2017

Mathematical Problems in Engineering

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“…Virtual measurement simulation software, also referred to uncertainty evaluation software (UES), is gaining popularity in industry [3], [19], [20]. The market need for UES is driven by a joint need to adhere to ISO 9000 standard requirements and reduce cost and time associated to the validation and planning of measurement activities.…”

Section: Virtual Machine Measurement Simulationmentioning

confidence: 99%

“…The computational simulation of task specific uncertainty estimation for multi-axis measurement devices is predicted as the next paradigm change with respect to manufacturing process control and quality assurance [19], [21]. However where UES systems have been validated caution has been recommended in terms of the impact of variables which may not have been considered, the generalising of results and the relevance of them to 'real-world' conditions.…”

Section: Virtual Machine Measurement Simulationmentioning

confidence: 99%

Comparison of the Measurement Performance of High Precision Multi-axis Metal Cutting Machine Tools

et al. 2014

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High precision manufacturers continuously seek out disruptive technologies to improve the quality, cost, and delivery of their products. With the advancement of machine tool and measurement technology many companies are ready to capitalise on the opportunity of on-machine measurement (OMM). Coupled with business case, manufacturing engineers are now questioning whether OMM can soon eliminate the need for post-process inspection systems. Metrologists will however argue that the machining environment is too hostile and that there are numerous process variables which need consideration before traceable measurement on-the-machine can be achieved. In this paper we test the measurement capability of five new multi-axis machine tools enabled as OMM systems via on-machine probing. All systems are tested under various operating conditions in order to better understand the effects of potentially significant variables. This investigation has found that key process variables such as machine tool warm-up and tool-change cycles can have an effect on machine tool measurement repeatability. New data presented here is important to many manufacturers whom are considering utilising their high precision multi-axis machine tools for both the creation and verification of their products.

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“…There are some works dealing with five-axis systems but they deal mainly with CNC machining centers [2][3][4] or with CMMs with rotary tables [5] and are devoted to modeling of kinematic errors of these systems. This is why this paper is focused mainly on the research undertaken in Laboratory of Coordinate Metrology (LCM) at Cracow University of Technology where the work on virtual models of five-axis measuring systems are in a high stage of development.…”

Section: Introductionmentioning

confidence: 99%

Challenges for Modeling of Five-Axis Coordinate Measuring Systems

Gąska

Gruza

2017

Applied Sciences

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Modeling of various measuring systems used in coordinate metrology is a very relevant and current topic. Functional models of measuring systems are used in simulative methods as so called 'virtual models' and are used mainly for determination of measurement uncertainty and prediction of errors that may occur during the measurement. Virtual models have already been developed for coordinate measuring machines and articulated arm coordinate measuring machines and are currently under development for other, state-of-the-art measuring systems. They include Laser Tracking systems, optical coordinate measuring machines (CMMs) and five-axis measuring systems. The first step towards development of virtual model for the latter system was presented in a previous study by the authors. The simplified model for simulation and correction of probe head errors and its verification was proposed. This paper describes the challenges that must be faced before the final implementation of a fully functional virtual model of five-axis coordinate measuring systems.

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Development of a parametric model and virtual machine to estimate task specific measurement uncertainty for a five-axis multi-sensor coordinate measuring machine

Cited by 30 publications

References 12 publications

Calculation of Misjudgment Probability for Product Inspection Based on Measurement Uncertainty

Calculation of Misjudgment Probability for Product Inspection Based on Measurement Uncertainty

Comparison of the Measurement Performance of High Precision Multi-axis Metal Cutting Machine Tools

Challenges for Modeling of Five-Axis Coordinate Measuring Systems

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