Application of the sampling strategies in the inspection process

Mian, Syed Hammad; Al-Ahmari, Abdulrahman

doi:10.1177/0954405416684157

Cited by 8 publications

(6 citation statements)

References 71 publications

(103 reference statements)

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“…Product quality generally correlates with many process variables. Model-based self-optimization requires sufficient data regarding these variables, in respect of both quality and distribution, to be able to describe the conditions at the operating point with adequate precision [ 33 ].…”

Section: Methodsmentioning

confidence: 99%

Identification of a Workpiece Temperature Compensation Model for Automatic Correction of the Cutting Process

Zawada-Tomkiewicz

Tomkiewicz

Pela³

2022

Materials

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This article describes a system for measuring and compensating for errors resulting from the cutting process in order to improve the accuracy of the workpiece. Measurements were performed by means of an automatic measurement unit. The diameter of the workpiece was measured at two points, and at the same time, the temperature at the end face of the workpiece was measured. These measurements were used in Statistical Process Control (SPC). Based on the measured values, the process stability was checked and an error correction value was determined for the next item. Moreover, the value of the correction was influenced by the assumed value of tool wear, in accordance with the adopted model, and the possibility of achieving the assumed surface quality. The diameter of the workpiece for SPC purposes was measured under industrial conditions using an automatic measurement unit, which indicates that the temperature of the workpiece during the measurement was significantly higher than the reference temperature. The study focuses on the possibility of identifying a workpiece temperature compensation model in measurements of the workpiece diameter for the purpose of introducing an additional change in the correction value. It was found that a model with a constant correction value and a linear model poorly reflect the nature of the changes. On the other hand, the Autoregressive with Extra Input (ARX) model and the Nonlinear Autoregressive with Extra Input (NLARX) model, with a neural network, are able to map the inertia of the system and map the process with greater accuracy. In this way, measurements performed in industrial conditions can more accurately determine the possibility of achieving the assumed tolerance of the finished product. At the same time, the research shows that the temperature compensation model is nonlinear, and that the maximum possible machining accuracy of the workpiece can be achieved thanks to the repeatable measurement and compensation technique.

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Section: Methodsmentioning

confidence: 99%

Identification of a Workpiece Temperature Compensation Model for Automatic Correction of the Cutting Process

Zawada-Tomkiewicz

Tomkiewicz

Pela³

2022

Materials

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“…The effectiveness of choosing a particular distribution strategy has been recognised as a major component of the measurement uncertainty [54]. Distribution strategies can be divided into two broad categories: standard distribution strategies and adaptive journal.ump.edu.my/ijame ◄ sampling strategies [55,56,57]. This classification is based on the complexity of the surface of the part.…”

Section: Sampling Strategiesmentioning

confidence: 99%

“…With the adaptive distribution strategy, the number of measuring points and their distributions vary according to the complexity and curvature of the measuring surface [57]. This means that complex parts of the surface contain a greater number of points, while simpler regions contain the least number of points [62].…”

Section: Sampling Strategiesmentioning

confidence: 99%

Touch Probe Measurement in Dimensional Metrology: A Review

Sadaoui¹,

Phan²

2021

IJAME

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Coordinate measuring machines (CMMs) are the standard displacement systems used for measurements in dimensional metrology. Since measurement with a touch probe mounted on a CMM provides high accuracy, repeatability, and reliability, it has been widely used for mechanical part inspection in manufacturing. The inspection process requires the use of several sensor orientations and optimal positioning of the part in order to measure all features. Recently, the field of probing path planning has become a huge and active research field. In this paper, various techniques aimed at generating the probe paths for part inspection are reviewed. Multiple issues related to the positioning of the part to maximise accessibility, analysis of probe accessibility to measure all inspection features, optimisation of the measurement sequence, distribution of measurement points, and collision avoidance are mentioned. The common research approaches and potential algorithms in this field are also discussed in this paper.

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“…In the case of CMM inspection, the surfaces must be sampled into sample points or scanning paths. Mian and Al-Ahmari 8 reviewed various aspects of sampling for CMM inspection. In the case of CMM operated in continuous scanning mode, Rajamohan and Shunmugam 9 proposed dominant isoparametric lines as CMM scanning lines.…”

Section: Introductionmentioning

confidence: 99%

A Voronoi diagram based framework for fast and accurate evaluation of 2D free-form profile errors

Samuel

2022

Proceedings of the Institution of Mechanical Engineers, Part B:

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Free-form objects which have vast engineering applications are inspected using coordinate measuring machines (CMM) and non-contact scanners. The output from the devices, that is the measured point-set, must be registered with the reference profile and later inspected for the profile error. Registration is accomplished in two phases, that is coarse registration and fine registration. The most crucial step in the fine-registration stage is the profile error estimation at each point of the measured point-set. Generally, this is accomplished using the point-inversion method, which has relatively high time complexity. This work proposes a two-stage framework based on the Voronoi diagram concept for profile error estimation of 2D free-form profiles. A discretized profile is prepared for the measurement process in the first stage. The profile errors are estimated from the measured point-set using the discretized profile in the second stage. Two profile error estimation technique has been proposed based on Voronoi vertices and the Voronoi edges. The effective time-complexity of the proposed framework is O(lm log n). Implementations were executed on simulated NURBS profiles and practically measured CT-scanner data of two machined airfoils modelled as NURBS profiles. The validation results illustrate that the proposed framework’s accuracy is on par with that of the point-inversion method and is at least 56% faster than the latter; thus making it a fast and accurate alternative for CMM (operated in continuous scanning mode), CNC machine-based (in-situ) and vision-based 2D profile inspection.

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Application of the sampling strategies in the inspection process

Cited by 8 publications

References 71 publications

Identification of a Workpiece Temperature Compensation Model for Automatic Correction of the Cutting Process

Identification of a Workpiece Temperature Compensation Model for Automatic Correction of the Cutting Process

Touch Probe Measurement in Dimensional Metrology: A Review

A Voronoi diagram based framework for fast and accurate evaluation of 2D free-form profile errors

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