Gage R&amp;R studies in measurement system analysis: A systematic literature review

Soares, Williane de Oliveira Silva; Peruchi, Rogério Santana; Silva, Rômulo Augusto Ventura; Rotela, Paulo

doi:10.1080/08982112.2022.2069505

Cited by 11 publications

(3 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The systematic review of the literature is constantly used, in the most diverse areas of knowledge, energy (Pires et al, 2022), Analysis of measurement systems (Soares et al, 2022), Environmental, Social, and Governance (ESG) , fused deposition modeling, 3D manufacturing processes (Popescu et al, 2018), printing using (PLA) polylactic acid (Bahnini et al, 2018;Z. Liu et al, 2019), improvement of logistics processes .…”

Section: Methodsmentioning

confidence: 99%

Central composite disigns for optimization of the energy factor in 3D printing

Barbosa,

Peruchi,

Rotella Junior

2023

R. G. Secr.

Self Cite

View full text Add to dashboard Cite

This study proposes an optimization strategy to analyze the trade-off between the conflicting objectives of minimizing energy use in 3D printing by fused deposition modeling. The motivation for this work is the need to optimize natural resources, finite in nature, in a more competitive industrial reality and increasingly focused on sustainability, another important point is that energy savings generate improvement in consumption raising organizational profit. The methodologies used were a brief review of the literature and response surface methodology in a CCD experiment. The modeling of the specimen took place through the CAD Fusion 360 software, its development began with the creation of a rectangular 2D sketch, obeying the parameters of 80 mm in its length and 10 mm in width, an Ender 3 printer, yellow PLA, was used following the guidelines set out in ISO 178. Objective of the research is to optimize the manufacturing process using fused deposition modeling, reducing energy consumption (kwh). A complete factorial design was used , as factors: the printing speed (X1), the printing density (X2), layer height (X3) and the layer width (X4), as a response of the experiment were adopted for the manufacturing process, energy (Y). The residue normality tests were performed, with a p-value of 0.170 > 0.05, showing that the data are normal, the VIF below 10 and R-sq (adj) is above 87.16%, the equation has the validated model.

show abstract

Section: Methodsmentioning

confidence: 99%

Central composite disigns for optimization of the energy factor in 3D printing

Barbosa,

Peruchi,

Rotella Junior

2023

R. G. Secr.

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, qualitative analysis cannot provide specific and detailed information, nor can it reflect the subtle differences between sensors. Gage repeatability and reproducibility (Gage R&R) is a pivotal technique in statistical process control that evaluates the capability of a measurement system which is regarded as a quantitative method, providing a quantitative description of repeatability and reproducibility applicable to the evaluation of measurement capability [12]. Asplund and Lin [13] conducted a Gage R&R study to evaluate the capability of the wheel profile measurement system in CBM applications.…”

Section: Introductionmentioning

confidence: 99%

An integrated approach to evaluate the measurement capability and acceptability of acoustic emission sensors

Chen,

Lin,

Chen

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

Acoustic Emission (AE) is a pivotal technique in Condition-based Maintenance (CBM) and recent years have witnessed a significant surge in the deployment of AE sensors in industrial applications. With this increase in availability, there comes a substantial challenge: evaluating the measurement capability of sensor within specific applications. As such, this study identifies a critical need for a structured approach to evaluate the measurement capabilities of AE sensors and subsequently judge their acceptability against guideline criteria. To address this need, we present an integrated approach that systematically guides the capability evaluation of AE sensors, incorporating both qualitative and quantitative analyses. The qualitative analysis aims to scrutinize the accuracy of sensors by assessing the detectability of features critical for diagnostics. The quantitative analysis leverages the Gage Repeatability and Reproducibility (Gage R&R) to statistically evaluate sensor characteristics. A comprehensive experimental study further investigates the impact of measurement sources on the sensors' accuracy, repeatability, and reproducibility. This study illustrates the qualitative findings regarding sensor accuracy in both time and frequency domains, revealing promising performance in diagnostic-based evaluations. In quantitative analysis, we demonstrate the results of sensor capability in terms of repeatability and reproducibility, providing the variations of different sources in statistics-based evaluations. We thoroughly investigate the influence of significant factors, quantifying their contributions to sensor’s measurement capability. Furthermore, we introduce metrics designed to assess sensor’s acceptability, according to explicit acceptance and rejection criteria. Our experimental results affirm that Root Mean Square (RMS) measurements are within acceptable ranges for both sensors, while Spectral Entropy (SE) measurements for PK15I sensor satisfy the acceptable level. For HZ136I sensor, however, SE measurements are deemed conditionally acceptable. Ultimately, the proposed approach provides a robust framework for the comprehensive evaluation of AE sensor measurement capabilities, offering invaluable guidance for sensor selection and enhancement in industrial applications.

show abstract

“…A análise do sistema de medição (MSA) é uma técnica fundamental para verificar a qualidade das medições e o estudo de repetibilidade e reprodutibilidade (GR&R) é um dos métodos mais comuns de MSA utilizado em diversas aplicações, incluindo a indústria madeireira, farmacêutica, energia eólica e outros processos de fabricação (AL-RAFAIE;BATA, 2010;ARAÚJO et al, 2019;PERUCHI et al, 2016). Até o momento, não há publicações de estudo GR&R realizado com um sistema de medição de cor ou espectrofotômetro (SOARES et al, 2022).…”

unclassified