scholarly journals Impact of a Robot Manipulation on the Dimensional Measurements in an SPC-Based Robot Cell

2021 ◽  
Vol 11 (14) ◽  
pp. 6397
Author(s):  
Aleš Zore ◽  
Robert Čerin ◽  
Marko Munih
Keyword(s):  
System Analysis ◽  
Measurement Data ◽  
Influential Factor ◽  
Statistical Parameters ◽  
Robot Manipulation ◽  
Measurement System Analysis ◽  
Length Measurements ◽  
Measurement Mode ◽  
Dimensional Measurements ◽  
Basic Functions

In our study a robot was used to deliver objects for measurement into the Equator gauging system. To investigate the robot’s manipulation influence on dimensional measurements, the robot’s tasks were divided into basic functions. Based on these basic functions, nine different robot-manipulation scenarios were defined, i.e., from zero to full robot manipulation, for two measuring objects (named Magnet and PKR) and six measurement characteristics (rectangular and spherical). The robot’s manipulation influence was determined on the basis of the statistical parameters Cp, R, and the 6σ obtained from a measurement system analysis (MSA) type-1 study. The results show that the degree of implemented manipulation of the robot affects the scattering of the measurement data. However, the effect is much more pronounced in the case of length measurements than with spherical geometries. Different measuring methods (touch-triggering or scanning measurement mode, number of sampling points) were used, which showed similar measurement data. This directly indicated the influence of the robot’s manipulation on Cp, R and 6σ. Increasing the degree of the robot’s manipulation decreases the Cp value and increases the R and 6σ values for the length measurements. There is no such pronounced course in the spherical geometries, where the values of Cp, R and 6σ remain approximately the same. The main influential factor for decreasing the Cp value with increasing robot manipulation was the angular misalignment of the object’s orientation in the fixture.

scholarly journals Measurement system analysis by attribute, an effective tool to ensure the quality of the visual inspection process within an organization

2019 ◽  
Vol 290 ◽  
pp. 05004
Author(s):  
Carmen Simion
Keyword(s):  
Quality Assurance ◽  
Measurement System ◽  
Visual Inspection ◽  
System Analysis ◽  
Measurement Data ◽  
Quality Assurance Program ◽  
Measurement Systems ◽  
Measurement System Analysis ◽  
Inspection Process

A successful quality assurance program in any organization needs good measurement systems. The concept of measurement system refers to the manpower, machines, materials, methods and mother nature involved in obtaining measurements. Measurement system analysis (MSA) is a set of procedures which are used to determine the amount of variation due to the measurement system and if the measurement data are valid. Most problematic measurement system issues come when the results of a measurement system are qualitative values such as “pass” or “fail” (attribute data) rather than quantitative values (variable data). Because in industry many measurement systems deal with qualitative data, the assessment of the visual inspection process is a contemporary approach for quality assurance in most manufacturing organizations. The aim of this paper is to apply the MSA attribute study in a local company from the Sibiu region supplying products for automotive industry, to ensure the quality of the visual inspection process for one of their parts, respectively the exterior lighting projectors (Day Running Light, DRLs). The output data were analyzed using Minitab software. The conclusion was that the visual inspection process must be improved by appraisers training and developing panel with samples for the most common defect types of DRLs.

Estimation of Competitiveness of Single-Industry Towns of the Samara Region

2020 ◽  
pp. 67-81
Author(s):  
Julia Rishatovna Kuzhanbaeva ◽  
Rustam Taufihovich Kuzhanbaev ◽  
Maria S. Guseva
Keyword(s):  
Social Services ◽  
System Analysis ◽  
Objective Assessment ◽  
Practical Interest ◽  
Federal District ◽  
Social Consequences ◽  
Statistical Parameters ◽  
Structural Dynamic ◽  
Single Industry ◽  
Integral Indicator

In order to prevent negative socio-economic trends, to predict the social consequences of decisions on the implementation of state policy in the development of single-industry territories, public authorities monitor the socio-economic situation in single-industry towns based on an assessment of a number of statistical indicators. Such a differentiated assessment of statistical parameters does not allow a comprehensive assessment of the level of development and competitiveness of a single-industry town by territory, which is of particular relevance in modern conditions of glocalization. Of particular scientific and practical interest is a comparative analysis of the level of development of single-industry towns on the basis of an integral indicator that takes into account aspects of various spheres of life of the population and allows an objective assessment of the competitive positions of single-industry territories, which is currently not used by state authorities for monitoring. The purpose of the work is to assess and justify the conditions and development trends of single-industry towns of the Samara region on the basis of calculating the integral indicator of competitiveness, taking into account the level of development of the economy, finance, employment, social security and demography, as well as the mono-profile level of territories. In this study, we used the methods of system analysis, the method of comparisons and analogies, the method of generalization, the methods of dialectic and statistical analysis, the method of expert estimates, the method of retrospective estimates and structural-dynamic analysis. The paper provides an overview of the single-industry towns of the regions of the Volga Federal District; the results of testing the methodology for assessing the competitiveness of single-industry towns of the Samara region on the basis of an integral indicator are presented and trends in its change in the period 2013–2017 are identified. The study involved four single-industry towns of the Samara region: Oktyabrsk, Pohvistnevo, Tolyatti, Chapaevsk. The calculations showed that For five years Oktyabrsk was an outsider in four of the six areas under study (economics, labor, social services, demography), which led to the lowest competitiveness index and allowed us to identify the competitiveness of a single-industry town as “below average”. In relatively equal socio-economic conditions, there were Pohvistnevo, Togliatti and Chapaevsk, the level of competitiveness of which is “above average”.

The Research of Marine Nuclear Power Two Loop Simulation Software Based on the Thermal System Analysis

2014 ◽  
Vol 983 ◽  
pp. 288-291
Author(s):  
Guo Lei Zhang ◽  
Xiang Dong Jin ◽  
Zhan Zhao ◽  
Zhi Jun Shi
Keyword(s):  
Nuclear Power ◽  
System Analysis ◽  
Simulation Analysis ◽  
Simulation Software ◽  
Operating Conditions ◽  
Two Phase ◽  
Design Data ◽  
Software Optimization ◽  
Power Simulation ◽  
Basic Functions

To study of Nuclear power simulation software's basic functions and mathematical model based on thermal analysis. Describes the two-phase flow model of GSE software superiority, as well as the software optimization program .Use of software tools for normal operating conditions of the simulation calculation and analysis of the results. Comparison with design data shows that,the software use in marine nuclear power two loop system simulation analysis field, the accuracy of it is higher.

Measurement system analysis on the external standard using an azeotropic mixture of ethylene glycol and detailed uncertainties

2021 ◽  
Author(s):  
Ahmad Syafiq Ahmad Hazmi ◽  
Zulina Abd Maurad ◽  
Mohd Azmil Mohd Noor ◽  
Nik Siti Mariam Nek Mat Din ◽  
Zainab Idris
Keyword(s):  
Ethylene Glycol ◽  
Measurement System ◽  
System Analysis ◽  
Azeotropic Mixture ◽  
Measurement System Analysis ◽  
External Standard

Effects of Within Part Variation on Measurement System Analysis

2012 ◽  
Author(s):  
Chittaranjan Sahay ◽  
Suhash Ghosh ◽  
Syed Mohammed Haja Mohideen
Keyword(s):  
Detailed Analysis ◽  
Measurement System ◽  
System Analysis ◽  
Primary Reason ◽  
Improved Method ◽  
System Error ◽  
Measurement System Analysis ◽  
Sources Of Variation ◽  
System Part ◽  
Part Variation

Inherent variation of the measurement system, part-to-part variation and variation arising due to the operator are considered to be the most common sources of variation in a measurement system analysis (MSA). Often errors due to within part variation are overlooked, or even worse, are assumed to be from the inherent variation of the measurement system. Understanding the sources of variation in a measurement system is important for all measurement applications. It becomes even more critical when the part used to evaluate a gage has a significant within part variation. This is an important source of measurement system error that the current procedures followed for MSA studies do not clearly or adequately address. The primary reason for this is a lack of awareness, and there are no clear guidelines on conducting a MSA study under these circumstances. A detailed analysis of the effects of within part variation on MSA is described in this paper. An improved method for conducting the MSA under these circumstances is also presented. This improved and more effective MSA takes all sources of variations into consideration.

scholarly journals Assessment of the Adequacy of Gauge Repeatability and Reproducibility Study Using a Monte Carlo Simulation

2017 ◽  
Vol 2017 ◽  
pp. 1-15 ◽  
Author(s):  
Chunghun Ha ◽  
David S. Kim ◽  
SeJoon Park
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
System Analysis ◽  
Performance Metrics ◽  
Repeated Measurements ◽  
Percentage Error ◽  
Nested Design ◽  
Reproducibility Study ◽  
Measurement System Analysis ◽  
Repeatability And Reproducibility

ANOVA gauge repeatability and reproducibility study is the most popular tool for measurement system analysis. Two experimental designs can be applied depending on the durability of the objects. If repeated measurements are possible or sufficient homogeneous nonrepeatable samples are available, crossed design is appropriate; otherwise, nested design should be used. In this paper, we investigated the adequacy of ANOVA gauge repeatability and reproducibility study from the perspective of practitioners. We proposed a Monte Carlo simulation that is close to the realistic procedure to evaluate the adequacy of both structures. During the evaluation, we considered the average performance metrics, percentage of correct decision, histogram shape, and symmetric mean absolute percentage error for the four popular performance metrics, namely, % Study Variation, % Contribution, % Tolerance, and the number of distinct categories. The experimental results show that the nested design fails to judge the precision of the gauge while the crossed design succeeds.

scholarly journals Measurement System Analysis for Binary Inspection: Continuous Versus Dichotomous Measurands

2011 ◽  
Vol 43 (2) ◽  
pp. 99-112 ◽  
Author(s):  
Jeroen De Mast ◽  
Tashi P. Erdmann ◽  
Wessel N. Van Wieringen
Keyword(s):  
Measurement System ◽  
System Analysis ◽  
Measurement System Analysis

scholarly journals Investigation of measurement data of low-coherence interferometry at tilted surfaces in the 3D spatial frequency domain

2021 ◽  
Vol 88 (s1) ◽  
pp. s65-s70
Author(s):  
Marco Künne ◽  
Sebastian Hagemeier ◽  
Eireen Käkel ◽  
Hartmut Hillmer ◽  
Peter Lehmann
Keyword(s):  
Spatial Frequency ◽  
Frequency Domain ◽  
Nanoimprint Lithography ◽  
System Analysis ◽  
Measurement Data ◽  
Numerical Aperture ◽  
Surface Slopes ◽  
Ewald Sphere ◽  
Interference Signals ◽  
Spatial Frequency Domain

Abstract The 3D transfer characteristics of interference microscopes and their effect on the interference signals occurring at surface slopes are studied. The interference image stacks acquired during a depth scan are 3D Fourier transformed. This allows a comprehensive frequency domain analysis of the interferograms. The double foil model introduced in a previous publication enables the interpretation of the signal spectra and the underlying transfer behavior of the interferometer using the concept of the Ewald sphere, which is limited by the numerical aperture (NA) of the imaging system. Analysis in the 3D spatial frequency domain directly discloses that the lateral dimensions of the transfer function depend on the axial spatial frequency. In this contribution we investigate measuring objects produced by Nanoimprint-Lithography. The corresponding signal spectra bear information that can be utilized to optimize the subsequent signal processing algorithms. These include envelope and phase evaluation procedures of the interference signals. A narrow bandpass filter is used to actively select certain frequency components in order to improve the robustness of the estimation of the envelope position. Although the shape and width of the envelope are affected, this procedure increases the reliability of the evaluation process and improves the accuracy of the measured topography especially at steeper surface slopes.

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