Relevant bibliographies by topics / Usinage – Qualité – Contrôle

Academic literature on the topic 'Usinage – Qualité – Contrôle'

Author: Grafiati
Published: 8 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Usinage – Qualité – Contrôle":

1

Scherrer, Simon C., Christoph Frei, Mischa Croci-Maspoli, Deborah van Geijtenbeek, Claudine Hotz, and Christof Appenzeller. "Operational quality control of daily precipitation using spatio-climatological plausibility testing." Meteorologische Zeitschrift 20, no. 4 (August 1, 2011): 397–407. http://dx.doi.org/10.1127/0941-2948/2011/0236.

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Mohammadha Hussaini, M., and R. Anita. "Power Quality Analysis in Wind Power Generation Using Sliding Mode Control." International Journal of Engineering and Technology 2, no. 5 (2010): 481–85. http://dx.doi.org/10.7763/ijet.2010.v2.168.

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Dakić, Pavle, Jelena Savić, and Vladimir Todorović. "MENADŽMENT KONTROLE KVALITETA SOFTVERA UPOTREBOM BLACK-BOX TESTIRANJA NA POSTOJEĆEM WEBSHOP-U TRINITISHOP." FBIM Transactions 9, no. 1 (April 15, 2021): 28–38. http://dx.doi.org/10.12709/fbim.09.09.01.03.

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Creating the need for continuous growth and progress of all involved and connected business entities. They require compliance with certain web standards and support for multiple different browsers and devices. To be convinced of the version of the published code, we need a team that loves challenges, has the creativity and a desire for constant learning. Code, as a basis for a successful business, must be written appropriately with minimal deficiencies in logic and writing. The correctness and validity of the production code mostly depend on the program team itself and its responsibility for the written code. Vital code with errors can produce serious problems and unforeseen consequences. To achieve complete accuracy of all parts of the written code, it is necessary to use software testing and QA technique - quality assurance. The focus of the work is on the application and writing of the necessary programming code that uses QA/QC and the black-box method of testing the existing webshop. After analysis, the authors conclude that software quality control will be a constant challenge for many companies to survive in the short term of the adjustment process and that the crisis is an opportunity for courageous companies to invest ambitiously and timely in their internet business to become market leaders.
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Hernández-Hierro, J. M., I. González-Martín, V. Villaescusa-García, F. López-González, C. Oiz-Jiménez, I. A. Lobos-Ortega, and B. Gordillo. "Control of quality and silo storage of sunflower seeds using near infrared technology." Grasas y Aceites 64, no. 1 (February 4, 2013): 30–35. http://dx.doi.org/10.3989/gya.096312.

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Wahyuni, Ayu Endah. "Analysis of Quality Control of Instant Mie Products Using C-Chart Methods (PT XYZ)." International Journal of Psychosocial Rehabilitation 24, no. 2 (February 13, 2020): 2804–7. http://dx.doi.org/10.37200/ijpr/v24i2/pr200577.

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M. Jamal Rashid, Kawa, and Sherzad Arif Hama. "Using the Quality Control to Determine the Factors of Failure Operation in Cement Sector." Journal of Zankoy Sulaimani - Part A 23, no. 1 (June 20, 2021): 101–12. http://dx.doi.org/10.17656/jzs.10845.

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許文菁, 許文菁, 許郁笙 Wen-Chin Hsu, 尤琬筑 Yu-Sheng Hsu, 施心筑 Wan-Chu Yu, and 王雅玲 Hsin-Chiu Shih. "運用品管手法改善藥師在職教育課程的辦理成效." 醫療品質雜誌 16, no. 1 (January 2022): 056–62. http://dx.doi.org/10.53106/199457952022011601009.

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<p>目的：改善在職教育課程的辦理成效，期能強化部內藥事人員專業技能以提升病人的照護品質。</p> <p>方法：本專案結合Kern課程規劃循環(Kern curriculum cycle)與品管手法PDCA的概念，由課堂的課後資料與 問卷進行現況分析與學習者需求調查，找出「課程參與度與完成度低」之主要因，並擬定對策。課程參與度之目標設定為每堂課平均出席人數過半達64位，課程完成率達85%。（課程完成之定義為限期內完成課後評值且分數高於80分，以及滿意度填寫）</p> <p>結果：課程內容與品質改善後，平均出席人數由56位增加到65位，目標達成率112.5%；課程完成率由83.2%增加到87.3%，目標達成率227.8%。</p> <p>結論：藉由優化課程內容與品質，改善在職教育課程的辦理成效，進一步再將特定發展的課程主題以帶狀系列或社群模式進行，能提高同仁自主學習意願、促進自我成長，亦能強化同仁專業技能，進而提升病人照護品質，且有助於部門內人才師資培育兼顧員工職涯發展，並預做準備將全人照護概念向下扎根於藥學實習生。</p> <p>&nbsp;</p><p>Objective: To improve the effectiveness of on-the-job education programs for strengthening the professional skills of the pharmacists in our department and further enhance the quality of patient care.</p> <p>Methods: This project integrated the Kern curriculum cycle and the Plan-Do-Check-Act (PDCA) concept of quality control. We used post-class evaluations and questionnaires to do a situation analysis and survey learners’ needs to identify the main reasons for low course participation and completion and to develop countermeasures to these problems. The course participation targets were an average attendance of 64 pharmacists per class and a course completion rate of 85%. Course completion was defined as completing both the postcourse evaluation (80 points to pass) and the satisfaction questionnaires by the stipulated deadline.</p> <p>Results: After we improved the content and quality of the courses, the average attendance increased from 56 to 65, and the target achievement rate was 112.5%. In addition, the course completion rate increased from 83.2% to 87.3%, and the target achievement rate was 227.8%.</p> <p>Conclusion: By optimizing the content and quality of the courses, improving the effectiveness of the on-the-job education programs, and developing courses on specific topics within a series or community model, we cultivated independent learning and self-growth among our pharmacists, strengthened their professional skills, and improved the quality of patient care. Moreover, talents and teachers were fostered while taking into account the career development of our pharmacists, and preparations were made to root the concept of holistic care down in pharmacy interns.</p> <p>&nbsp;</p>
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Prasad, D. Babu Rajendra, A. D. Kulkarni, and T. Ananthapadmanabha. "Operation and Control of the Distributed Energy Resources to Improve the Power Quality in Electrical Distribution System Using Hbmo -Ann - A Novel Control Algorithm." Indian Journal Of Science And Technology 15, no. 42 (November 12, 2022): 2204–18. http://dx.doi.org/10.17485/ijst/v15i42.2439.

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Lü Xinrui, 吕新蕊, 刘婷婷 Liu Tingting, 廖文和 Liao Wenhe, 韦辉亮 Wei Huiliang, 杨涛 Yang Tao, and 蒋立异 Jiang Liyi. "高强铝合金7075激光粉末床熔融凝固裂纹的消除与质量控制." Chinese Journal of Lasers 49, no. 14 (2022): 1402209. http://dx.doi.org/10.3788/cjl202249.1402209.

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Obukhov, P. S., I. V. Manuilov, and V. S. Kreinin. "ANALYSIS OF THE EFFECTIVENESS OF THE IMPLEMENTATION OF AUTOMATED QUALITY CONTROL SYSTEMS FOR SHOE PRODUCTS USING MOBILE APPLICATIONS." European Journal of Natural History, no. 3 2023 (2023): 28–34. http://dx.doi.org/10.17513/ejnh.34346.

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You might also be interested in the extended bibliographies on the topic 'Usinage – Qualité – Contrôle' for particular source types:
Journal articles Dissertations / Theses Books

Dissertations / Theses on the topic "Usinage – Qualité – Contrôle":

1

Bajic, Eddy. "Intégration du contrôle qualité en production automatisée : application à un îlot automatisé de fabrication de pièces mécaniques." Nancy 1, 1988. http://www.theses.fr/1988NAN10015.

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Chouhad, Hassan. "Towards online metrology for proactive quality control in smart manufacturing." Thesis, Paris, HESAM, 2022. http://www.theses.fr/2022HESAE021.

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Dans l’industrie de fabrication traditionnelle, la métrologie est un élément essentiel de sanction de la qualité en bout de la chaîne de production. L’innovant dans le concept de la fabrication intelligente conduit à un repositionnement de la métrologie qui devient proactive au cœur même de la production pour fabriquer dès le départ une première pièce conforme. L’objet de cette thèse est donc de proposer une approche méthodologique pour le développement d'un système proactif, augmenté par des modèles d’intelligence artificielle IA, de contrôle en usinage de la conformité d’un produit à un cahier des charges et de caractériser ses défauts. Pour cela, une première étude sur l’aspect de surface a été réalisée en recueillant des images à haute résolution de fils de cuivre revêtus et découpés pouvant présenter des défauts. Les images, prises par un système de vision par ordinateur basé sur l'imagerie confocale chromatique, ont été utilisées pour générer différents modèles d'intelligence artificielle. Ce traitement consiste à faire de la segmentation et de la classification des défauts observés. En comparant la précision et le temps de traitement des modèles d'IA, l'apprentissage par transfert utilisant le modèle de mobile-net a montré de meilleures performances. Afin d'élargir l'étude de l'évaluation de la qualité de surface, des mesures de profil de surface sur machine-outil ont été effectuées à l'aide de capteurs confocaux chromatiques sans contact. Deux approches ont été réalisées : i) le fraisage de l'aluminium sans signature d’usure d’outil de coupe et ii) le fraisage du titane en tenant compte de la signature de l'usure de l'outil de coupe. Dans les deux configurations de coupe, les paramètres d’usinage, les profils de rugosité de surface et les efforts d’enlèvement de matière ont été enregistrés pour construire une base de données pour l'entraînement des modèles de prédiction par apprentissage automatique. Les résultats ont montré que le modèle XGboost a présenté la meilleure performance de prédiction et ce pour les deux scénarios. En considérant le temps de coupe dans le fraisage du titane, le modèle de prévision de séries temporelles ARIMA a été appliqué pour suivre l'évolution de la rugosité en fonction de l'usure de l'outil. L’analyse moyenne mobile autorégressive intégrée a permis de suivre l’évolution de la rugosité en fonction de la signature d’usure
In the traditional manufacturing industry, metrology is an essential element in sanctioning quality at the end of the production line. The innovation brought by concept of smart manufacturing leads to a repositioning of metrology to be proactive at the heart of production by performing the so-called first-time-right manufacturing of parts. The goal of this thesis is therefore to propose a methodological approach for the development of a proactive system, enhanced by AI models, to control the conformity of a product to a specification during machining and to characterize its defects. For this purpose, a first study on the surface aspect was carried out by collecting high-resolution images of coated and cut copper wires that may present defects. The images, taken by a computer vision system based on chromatic confocal imaging, were used to generate different artificial intelligence models. These models can perform segmentation and classification of observed defects. When comparing the accuracy and processing time of the AI models, transfer learning using the mobile-net model showed better performance. To extend the study of surface quality assessment, surface profile measurements on machine tools were performed using non-contact chromatic confocal sensors. Two approaches were performed: i) milling aluminum without tool wear signature, and ii) milling titanium with tool wear signature. In both cutting configurations, machining parameters, surface roughness profiles, and cutting forces were measured to build a dataset for training the prediction models by machine learning. The results showed that the XGboost model presented the best prediction performance and for both scenarios i) and ii). By considering the cutting time in titanium milling, the autoregressive integrated moving average time series prediction model was applied to track the evolution of roughness with tool wear
3

Mawissi, Kwamivi. "Modèles de représentation et de définition d'outillages de forme complexe : application à le génération automatique de processus d'usinage." Cachan, Ecole normale supérieure, 1995. http://www.theses.fr/1995DENS0001.

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Ce mémoire porte sur l'automatisation de la fonction de préparation a la fabrication permettant de passer de la conception des pièces brutes forgées à la définition et la fabrication des outillages. Notre apport se traduit principalement par la construction d'un modèle de représentation d'outillages qui établit le lien entre les différentes fonctions de production, et l'élaboration d'une méthode originale de génération du processus d'usinage des outillages. Nous proposons un modèle de representation d'outillages, permettant la conceptualisation des données de définition d'ordre géométrique et technologique suivant les aspects sémantiques, structurels et topologiques. Du point de vue des deux premiers aspects, la conceptualisation des données nous a permis de définir quatre éléments génériques (entité complexe, macro-entité, primitive et méta-primitive) qui servent de base a la représentation d'outillages. De plus, nous proposons une description formelle des interférences géométriques entre les éléments permettant de représenter à la fois les topologies locales et globales. Notre méthode de génération du processus d'usinage des outillages est basée sur la notion d'état d'usinage qui s'appuie à la fois sur les informations définies dans le modèle de représentation d'outillages et sur des connaissances d'usinage traduisant le savoir-faire des outilleurs. A cet effet, nous présentons une formalisation pertinente des connaissances d'usinage a partir de laquelle sont construits les états. Pour cette construction, nous avons adopte une démarche semi-ascendante de génération d'états d'usinage. La spécification de ces états, ainsi que la définition et l'ordonnancement des séquences d'usinage correspondantes conduisent à l'élaboration d'une gamme d'usinage des outillages. Enfin, nous validons notre approche sur un exemple industriel. La maquette informatique développée permet d'implémenter les taches de génération de gamme et d'unifier l'ensemble des données de représentation d'outillages dans un modèle objet homogène pour une exploitation pertinente et cohérente des liens existant entre ces données
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Motta, Mariane Prado. "Contribution à l’étude de systèmes de surveillance de l'usinage basés sur des méthodes d‘apprentissage machine et des mesures de vibrations, efforts et température de coupe." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0296.

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L'usinage est un processus de fabrication d'une grande importance économique qui se base sur l'utilisation d'un outil de coupe affuté pour couper et enlever mécaniquement de la matière d'une pièce afin d'obtenir une géométrie souhaitée. Compte tenu des exigences toujours croissantes en termes de qualité, de variabilité des produits et de réduction des coûts, les systèmes de surveillance de l'état des outils ainsi que de la qualité de la pièce usinée, basés sur des techniques du domaine de l'intelligence artificielle (IA), constituent une solution potentielle pour en avoir des processus de fabrication plus fiables et économiques. Les récents développements dans le domaine de l'IA, ont montré un grand potentiel pour transformer le domaine de la fabrication avec des outils avancés dédiés à l'analyse et à la modélisation des données. En particulier, les algorithmes d'apprentissage machine supervisé (ML), constituent un outil puissant pour modéliser les relations complexes entre les variables d'entrée et de sortie sur la base d'un ensemble de données contenant des exemples, c'est-à-dire, de paires d'entrées-sorties. Néanmoins, l'un des principaux inconvénients de ces techniques de modélisation est qu'une grande quantité de données, généralement obtenues par la réalisation d'expériences (souvent longues et coûteuses à réaliser), est nécessaire pour former des modèles précis et fiables. Ce qui limite l'applicabilité de ces types de modèle dans un contexte industriel. Compte tenu de ce contexte, l'étude menée vise à contribuer à l'identification de méthodologies pour le développement de modèles ML dédiés à la surveillance d'usinage en conditions industrielles, dans lesquelles le temps et les ressources pour la réalisation d'expériences sont souvent limités. A cet effet, il est considéré dans cette étude que, bien que les expériences puissent parfois être coûteuses, dans l'industrie, il est courant qu'avant de lancer des productions d'usinage avec un nouvel outil ou un nouveau matériau, des expériences de réglage soient effectuées afin de déterminer les paramètres de coupe les plus appropriés pour réaliser cette production. Compte tenu de cette nécessité (ou recommandation), il sera investigué dans cette thèse, les performances prédictives qui peuvent être atteintes si des données, issues de ces expériences de réglage, sont utilisées pour générer des modèles prédictifs pour la surveillance de l'usinage. Plus précisément, des expériences de réglage issues de la méthodologie normalisée Couple-Outil-Matière (NF E 66-520) sont considérées. Soucieux d'obtenir de bonnes performances prédictives avec une quantité limitée de données expérimentales, des capteurs pour la mesure des efforts, de la température et des vibrations de coupe sont choisis comme instrumentation du système de surveillance à développer, en raison de ses relations étroites avec la cinématique du procédé d'usinage. A ce propos, une attention particulière est accordée à l'étape d'ingénierie des caractéristiques. Autrement dit, le processus qui consiste à transformer les données brutes disponibles, par exemple, les signaux enregistrés par les capteurs, en caractéristiques, c'est-à-dire, des informations, représentant plus précisément le problème sous-jacent au modèle prédictif. Finalement, étant donné que, dans l'industrie, le changement de référence de l'outil de coupe peut se produire assez souvent, il sera aussi étudié si les modèles développés pour un type d'outil de coupe cible peuvent être appliqués à d'autres types d'outils légèrement différents (variations sur le rayon de bec, substrat et revêtement) et si, pour l'entrainement de modèles ML, l'utilisation de bases de données plus volumineuses, mais contenant des observations relatives pas seulement l'outil cible, mais aussi à d'autres outils légèrement différents de celle-ci, sera plus avantageuse, par rapport à l'utilisation d'une base de données moins volumineuse, mais spécifique à l'outil cible
Machining is an economically important manufacturing process that relies on the use of a sharpened cutting tool to mechanically cut and remove material from a part to achieve a desired geometry. Given the ever-increasing demands for quality, product variability and cost reduction, tool condition and workpiece quality monitoring systems based on artificial intelligence (AI) techniques are a potential solution are a potential solution for a more reliable and economical manufacturing processes. Recent developments in the field of AI, have shown great potential to transform the manufacturing domain with advanced tools dedicated to data analysis and modeling. In particular, supervised machine learning (ML) algorithms are a powerful tool for modeling complex relationships between input and output variables based on a dataset containing examples, i.e., input-output pairs. Nevertheless, one of the main drawbacks of these modeling techniques is that a large amount of data, usually obtained through experiments (often long and expensive to perform), is required to train accurate and reliable models. This fact limits the applicability of these types of models in an industrial context. Considering this context, this study aims to contribute to the identification of methodologies for the development of ML models dedicated to machining monitoring within industrial conditions, in which time and resources for the realization of experiments are often limited. For this purpose, it is considered in this study that, although experiments can be onerous, in the industry it is common that, before starting large scale machining productions with a new tool or material, setup experiments are performed to determine the most appropriate cutting parameters to perform that production. Given this need (or recommendation), it will be investigated in this thesis, the predictive performances that can be achieved if data, obtained from these tuning experiments, are used to generate predictive models for machining monitoring. More precisely, setting experiments from the standardized methodology Couple Tool-Material protocol (NF E 66-520) are considered. In an effort to obtain good predictive performance with a limited amount of experimental data, sensors for measuring cutting forces, temperature and vibrations are chosen as instrumentation for the monitoring system to be developed, given its close relationship with the kinematics of the machining process. In this matter, special attention is given to the feature engineering step. That is, the process of transforming the available raw data, for example, the signals recorded by the sensors, into features, i.e., information, that more accurately represent the problem underlying the predictive model. Finally, since in the industry the changes in cutting tool reference can occur quite often, it will also be investigated whether the models developed for a given target tool can be applied to other slightly different tools (variations on nose radius, substrate and coating) and whether, for the training of ML models, the use of larger databases, but containing observations related not only to the target tool but also to other tools slightly different from it, will be more advantageous, compared to the use of a smaller database specific to the target tool
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Dutilh, Vincent. "Maîtrise de l'intégrité de surface par la surveillance d'usinage sur les pièces critiques en superalliage de turbomoteurs aéronautiques." Phd thesis, Toulouse, INPT, 2011. http://oatao.univ-toulouse.fr/15642/1/Dutilh.pdf.

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Les travaux présentés dans cette thèse s'inscrivent dans le cadre du projet européen ACCENT sur la maîtrise de l'intégrité de surface par la surveillance lors de l'usinage des pièces critiques aéronautiques. Des études antérieures ont montrées que des anomalies générées lors de l'usinage peuvent induire un abattement sur la tenue en fatigue des pièces. Dans ce contexte, l'objectif de ces travaux est de modéliser la relation entre l'intégrité de surface et les signaux enregistrés lors du perçage de l'Udimet®720. A partir d'une démarche expérimentale basée sur le Couple-Outil-Matière et les plans d'expériences, une caractérisation de l'usure de l'outil, de l'intégrité de surface et des signaux enregistrés a été effectuées en fonction des conditions d‘usinage et du contexte de l'opération (lubrifiant, dureté matière). Cette caractérisation à permis d'établir des corrélations entre les caractéristiques de l'intégrité de surface et celles des signaux. Ces corrélations ont été modélisées par des méthodes directes et statistiques, afin de mettre en avant la pertinence des capteurs de puissance, d'efforts et d'accélération par rapport aux anomalies d'usinage. Ainsi les capteurs permettent la prédiction de la couche de matière affectée par l'opération quelque soit le contexte d'usinage.
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Remenaric, Hajak Mateja. "Study of ribonucleoprotein particle biogenesis and quality control by a novel technique using bacterial Rho factor as a tool." Thesis, Orléans, 2016. http://www.theses.fr/2016ORLE2013/document.

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Chez les eucaryotes, l’information génétique est transcrite en ARN messager qui subit plusieurs étapes de maturation et évènements d’assemblage avant d’être exporté hors du noyau. Ces modifications du transcrit sont effectuées par de nombreux facteurs protéiques recrutés au transcrit naissant, formant ainsi une particule ribonucléoprotéique (mRNP). La biogenèse du mRNP est étroitement liée avec la transcription et le contrôle qualité afin d’assurer l’efficacité et l’exactitude de la production de mRNPs matures. Des études récentes suggèrent que les membres du complexe THO-Sub2 pourraient être des facteurs cruciaux dans le couplage de la transcription, de la biogénèse du mRNP et de l’export. Dans notre groupe, nous avons mis en oeuvre un essai novateur pour étudier la biogénèse du mRNP et le contrôle qualité, basé sur l’expression du facteur Rho bactérien dans Saccharomyces cerevisiae. Rho interfère avec l’assemblage adéquat du mRNP et génère des transcrits aberrants qui sont dégradés par la machinerie de dégradation nucléaire. Dans cette étude, nous avons utilisé le système expérimental Rho pour mieux comprendre Rrp6 et l’implication de l’exosome dans la dégradation des transcrits liée au contrôle qualité, ainsi que pour mieux caractériser le rôle et la fonction du complexe THO-Sub2 dans le processus de biogénèse du mRNP. Les résultats obtenus révèlent une différence intéressante dans le comportement des membres du complexe THO sous l’action de Rho et dévoilent leur dépendance à la liaison à l’ARN, ce qui n’aurait pas pu être observé avec d’autres techniques expérimentales. Cela confirme le potentiel attendu du système expérimental basé sur Rho dans l’étude des facteurs protéiques impliqués dans la biogénèse et le contrôle qualité du mRNP
In eukaryotes, the genetic information is transcribed into messenger RNA which undergoes various processing and assembly events prior to its export from the nucleus. These transcript modifications are performed by numerous protein factors recruited to the nascent transcript, thus making a messenger ribonucleoprotein particle (mRNP). mRNP biogenesis is tightly interconnected with both transcription and quality control to ensure efficiency and accuracy in production of mature mRNPs. Recent findings suggest that members of THO-Sub2 complex might be crucial factors in coupling transcription, mRNP biogenesis and export. In our group, we have implemented an innovative assay to study mRNP biogenesis and quality control, based on the expression of the bacterial factor Rho in Saccharomyces cerevisiae. Rho interferes with proper mRNP assembly and generates aberrant transcripts degraded by the nuclear degradation machinery. In this study, we use Rho experimental system to expand our findings on Rrp6 and exosome involvement in quality control degradation of transcripts, as well as to better characterize the role and function of THO-Sub2 complex in the process of mRNP biogenesis. Obtained results reveal an interesting difference in behavior of THO complex members upon Rho action and disclose their dependence on binding to the RNA, which could not be observed by other experimental techniques. This substantiates the expected potential of Rho-based experimental system in the study of protein factors involved in mRNP biogenesis and quality control
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Cassady, Charles Richard. "Statistical quality control techniques using multilevel discrete product quality measures." Diss., This resource online, 1996. http://scholar.lib.vt.edu/theses/available/etd-06062008-151120/.

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Gosselin, Ryan. "ON-LINE QUALITY CONTROL IN POLYMER PROCESSING USING HYPERSPECTRAL IMAGING." Thesis, Université Laval, 2010. http://www.theses.ulaval.ca/2010/26629/26629.pdf.

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L’industrie du plastique se tourne de plus en plus vers les matériaux composites afin d’économiser de la matière et/ou d’utiliser des matières premières à moindres coûts, tout en conservant de bonnes propriétés. L’impressionnante adaptabilité des matériaux composites provient du fait que le manufacturier peut modifier le choix des matériaux utilisés, la proportion selon laquelle ils sont mélangés, ainsi que la méthode de mise en œuvre utilisée. La principale difficulté associée au développement de ces matériaux est l’hétérogénéité de composition ou de structure, qui entraîne généralement des défaillances mécaniques. La qualité des prototypes est normalement mesurée en laboratoire, à partir de tests destructifs et de méthodes nécessitant la préparation des échantillons. La mesure en-ligne de la qualité permettrait une rétroaction quasi-immédiate sur les conditions d’opération des équipements, en plus d’être directement utilisable pour le contrôle de la qualité dans une situation de production industrielle. L’objectif de la recherche proposée consiste à développer un outil de contrôle de qualité pour la qualité des matériaux plastiques de tout genre. Quelques sondes de type proche infrarouge ou ultrasons existent présentement pour la mesure de la composition en-ligne, mais celles-ci ne fournissent qu’une valeur ponctuelle à chaque acquisition. Ce type de méthode est donc mal adapté pour identifier la distribution des caractéristiques de surface de la pièce (i.e. homogénéité, orientation, dispersion). Afin d’atteindre cet objectif, un système d’imagerie hyperspectrale est proposé. À l’aide de cet appareil, il est possible de balayer la surface de la pièce et d’obtenir une image hyperspectrale, c’est-à-dire une image formée de l’intensité lumineuse à des centaines de longueurs d’onde et ce, pour chaque pixel de l’image. L’application de méthodes chimiométriques permettent ensuite d’extraire les caractéristiques spatiales et spectrales de l’échantillon présentes dans ces images. Finalement, les méthodes de régression multivariée permettent d’établir un modèle liant les caractéristiques identifiées aux propriétés de la pièce. La construction d’un modèle mathématique forme donc l’outil d’analyse en-ligne de la qualité des pièces qui peut également prédire et optimiser les conditions de fabrication.
The use of plastic composite materials has been increasing in recent years in order to reduce the amount of material used and/or use more economic materials, all of which without compromising the properties. The impressive adaptability of these composite materials comes from the fact that the manufacturer can choose the raw materials, the proportion in which they are blended as well as the processing conditions. However, these materials tend to suffer from heterogeneous compositions and structures, which lead to mechanical weaknesses. Product quality is generally measured in the laboratory, using destructive tests often requiring extensive sample preparation. On-line quality control would allow near-immediate feedback on the operating conditions and may be transferrable to an industrial production context. The proposed research consists of developing an on-line quality control tool adaptable to plastic materials of all types. A number of infrared and ultrasound probes presently exist for on-line composition estimation, but only provide single-point values at each acquisition. These methods are therefore less adapted for identifying the spatial distribution of a sample’s surface characteristics (e.g. homogeneity, orientation, dispersion). In order to achieve this objective, a hyperspectral imaging system is proposed. Using this tool, it is possible to scan the surface of a sample and obtain a hyperspectral image, that is to say an image in which each pixel captures the light intensity at hundreds of wavelengths. Chemometrics methods can then be applied to this image in order to extract the relevant spatial and spectral features. Finally, multivariate regression methods are used to build a model between these features and the properties of the sample. This mathematical model forms the backbone of an on-line quality assessment tool used to predict and optimize the operating conditions under which the samples are processed.
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Binny, Diana. "Radiotherapy quality assurance using statistical process control." Thesis, Queensland University of Technology, 2019. https://eprints.qut.edu.au/130738/1/Diana_Binny_Thesis.pdf.

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The work presented in this thesis was a step forward in applying statistics to the important problem of monitoring machine performance and quantifying optimal treatment quality assurance in radiotherapy. This research investigated the use of an analytical decision making tool known as Statistical Process Control (SPC) that employs statistical means to measure, monitor and identify random and systematic errors in a process based on observed behaviour. In this research, several treatment machine and planning system parameters were investigated and a method of calculating SPC based tolerances to achieve optimal treatment goals was highlighted in this study.
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Faust, Justin E. "Increase efficiency using the six sigma methodologies." Online version, 2009. http://www.uwstout.edu/lib/thesis/2009/2009faustj.pdf.

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Books on the topic "Usinage – Qualité – Contrôle":

1

Price, Frank. Right everytime: Using the Deming approach. Aldershot: Gower, 1990.

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Price, Frank. Right every time: Using the Deming approach. New York: M. Dekker, 1990.

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Price, Frank. Right every time: Using the Deming approach. Aldershot: Gower, 1993.

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Bhote, Keki R. World class quality: Using design of experiments to make it happen. New York, NY: Amacom, 1991.

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Stapenhurst, Tim. Mastering statistical process control: A handbook for performance improvement using cases. Amsterdam: Elsevier Butterworth-Heinemann, 2005.

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Price, Frank. Right first time: Using quality control for profit. Aldershot: Wildwood House, 1986.

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Solow, Lawrence. What works for GE may not work for you: Using human systems dynamics to build a culture of process improvement. New York: Productivity Press, 2010.

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Solow, Lawrence. What works for GE may not work for you: Using human systems dynamics to build a culture of process improvement. New York: Productivity Press, 2010.

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R, Bhote Keki. World class quality: Using design of experiments to make it happen. 2nd ed. New York, NY: American Management Association, 2000.

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Aft, Lawrence S. Quality improvement using statistical process control. San Diego: Harcourt Brace Jovanovich, 1988.

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Book chapters on the topic "Usinage – Qualité – Contrôle":

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Okello, Gabriel Otieno. "Statistical Quality Control." In Simplified Business Statistics Using SPSS, 405–50. Boca Raton: Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003292654-21.

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Santos-Fernández, Edgar. "Multivariate Control Charts." In Multivariate Statistical Quality Control Using R, 17–61. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5453-3_2.

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Santos-Fernández, Edgar. "A Small Introduction." In Multivariate Statistical Quality Control Using R, 1–15. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5453-3_1.

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Santos-Fernández, Edgar. "Multivariate Process Capability Indices (MPCI)." In Multivariate Statistical Quality Control Using R, 63–85. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5453-3_3.

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Santos-Fernández, Edgar. "Tools of Support to MSQC." In Multivariate Statistical Quality Control Using R, 87–106. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5453-3_4.

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Santos-Fernández, Edgar. "Study Cases." In Multivariate Statistical Quality Control Using R, 107–19. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5453-3_5.

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Mousa, Wail A., and Abdullatif A. Al-Shuhail. "Quality Control of Real Seismic Data." In Processing of Seismic Reflection Data Using MATLAB™, 15–21. Cham: Springer International Publishing, 2011. http://dx.doi.org/10.1007/978-3-031-02534-1_3.

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Elsayed, E. A., M. Gultekin, and J. H. Byun. "Shift Detections of Process Mean using Regression and Cross-Correlation Analyses." In Optimization in Quality Control, 279–300. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6151-4_11.

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Ghosh, Arindam, and Gerard Ledwich. "Realization and Control of DSTATCOM." In Power Quality Enhancement Using Custom Power Devices, 287–331. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1153-3_8.

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Ghosh, Arindam, and Gerard Ledwich. "Structure and Control of Power Converters." In Power Quality Enhancement Using Custom Power Devices, 137–214. Boston, MA: Springer US, 2002. http://dx.doi.org/10.1007/978-1-4615-1153-3_5.

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Conference papers on the topic "Usinage – Qualité – Contrôle":

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Wan, au, au Marjanovic, and au Lennox. "Trajectory tracking of batch product quality using intermittent measurements and moving window estimation." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334640.

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Hillman, Tomos, and Vincent Lizzi. "Self-generating quality control." In Declarative Amsterdam. Amsterdam: John Benjamins, 2020. http://dx.doi.org/10.1075/da.2020.hillman-lizzy.quality-control.

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This paper demonstrates how quality control infrastructure can be generated from a single requirements document. Taken from a recent project that is now being used in production at a large journal publisher, it discusses some of the challenges faced and techniques used when generating Schematron, XSpec tests, XML grammar checks, and documentation. The project set out to implement quality control requirements for journal articles using Schematron. In pursuing this objective, the project also created quality control infrastructure for Schematron itself that streamlines the process for incorporating iterative changes to requirements. The techniques used in this project and described in this paper may be generally applicable in other projects.
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Resonnek, Verena, and Volker Schöppner. "Self-optimizing barrel temperature setting control of single screw extruders for improving the melt quality." In MATERIALS CHARACTERIZATION USING X-RAYS AND RELATED TECHNIQUES. Author(s), 2019. http://dx.doi.org/10.1063/1.5088268.

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Tairi, Hamid, Tadeusz Sliwa, Yvon Voisin, Alain Diou, and L. Radouane. "Visual servo control using orthinormal polynomial." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515087.

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Denis, Florence, and Atilla M. Baskurt. "Directional structures detection using steerable pyramid." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515161.

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Nipas, Marte D., Mon Arjay F. Malbog, Jennalyn N. Mindoro, Rufo I. Marasigan, and Jennifer B. Enriquez. "QualiOn: An Onion Quality Analyzer and Sorter Device using Random Forest Classifier." In 2022 IEEE 13th Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2022. http://dx.doi.org/10.1109/icsgrc55096.2022.9845169.

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Kang, Sangkyu, Joon-Ki Paik, Andreas Koschan, Besma R. Abidi, and Mongi A. Abidi. "Real-time video tracking using PTZ cameras." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.514945.

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Ramadoss, Balaji, Jin-Choon Ng, Andreas Koschan, and Mongi A. Abidi. "Scene inspection using a robotic imaging system." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515092.

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Turtinen, Markus, Matti Pietikaeinen, Olli Silven, Topi Maenpaa, and Matti Niskanen. "Texture-based paper characterization using nonsupervised clustering." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515125.

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Tucker, Jr., Raymond W., Stephen W. Kercel, and Venugopal K. Varma. "Characterization of gas pipeline flaws using wavelet analysis." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515157.

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Reports on the topic "Usinage – Qualité – Contrôle":

1

Lee, Jusang, John E. Haddock, Dario D. Batioja Alvarez, and Reyhaneh Rahbar Rastegar. Quality Control and Quality Assurance of Asphalt Mixtures Using Laboratory Rutting and Cracking Tests. Purdue University, 2019. http://dx.doi.org/10.5703/10.5703/1288284317087.

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Lee, Jusang, John E. Haddock, Dario D. Batioja Alvarez, and Reyhaneh Rahbar Rastegar. Quality Control and Quality Assurance of Asphalt Mixtures Using Laboratory Rutting and Cracking Tests. Purdue University, 2019. http://dx.doi.org/10.5703/1288284317087.

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The main objectives of this project were to review the available balanced-mix design (BMD) methodologies, understand the I-FIT and Hamburg Wheel Tracking Test (HWTT) test methods using INDOT asphalt mixtures, and to explore the application of these tests to both a BMD approach and as performance-related Quality Control (QC) and Quality Acceptance (QA) methods. Two QA mixture specimen types, plant-mixed laboratory-compacted (PMLC) and plant-mixed field-compacted (PMFC) were used in the determination of cracking and rutting parameters. Distribution functions for the flexibility index (FI) values and rutting parameters were determined for various mixture types. The effects of specimen geometry and air voids contents on the calculated Flexibility Index (FI) and rutting parameters were investigated. The fatigue characteristics of selected asphalt mixtures were determined using the S-VECD test according to different FI levels for different conditions. A typical full-depth pavement section was implemented in FlexPAVE to explore the cracking characteristics of INDOT asphalt mixtures by investigating the relationship between the FI values of QA samples with the FlexPAVE pavement performance predictions. The FI values obtained from PMFC specimens were consistently higher than their corresponding PMLC specimens. This study also found that FI values were affected significantly by variations in specimen thickness and air voids contents, having higher FI values with higher air voids contents and thinner specimens. These observations do not agree with the general material-performance expectations that better cracking resistance is achieved with lower air voids content and thicker layers. Additionally, PG 70-22 mixtures show the lowest mean FI values followed by the PG 76-22 and 64-22 mixtures. The same order was observed from the ΔTc (asphalt binder cracking index) of INDOT’s 2017 and 2018 projects. Finally, it was found that the HWTT showed reasonable sensitivity to the different characteristics (e.g., aggregate sizes, binder types, and air voids contents) of asphalt mixtures. Mixtures containing modified asphalt binders showed better rut resistance and higher Rutting Resistance Index (RRI) than those containing unmodified binders.
3

Hibbert, Angela, Jue Lin, and Begona Pérez Gómez. Automated tide gauge data quality control software and report. EuroSea, 2023. http://dx.doi.org/10.3289/eurosea_d5.7.

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The WP5 Coastal Resilience and Operational Services demonstrator aims to design and deploy innovative sea level monitoring systems, integrating their observations with downscaled model forecasts into an alert-based monitoring and forecasting tool (OSPAC) that is design for use by ports and local authorities. As part of this data integration process, sea level observations must be quality-controlled in near real-time, to minimise the risk of false alarms. This has historically been achieved using an established open-source software package (SELENE). Recent progress using automatic quality control (QC) in delayed mode has led to the development of additional functionality that could enhance the SELENE software. At the same time, the delivery of new sea level time series from Global Navigation Satellite Systems (GNSS), provides an additional means of data validation. WP5 aims to enhance the SELENE software by incorporating these enhancements and new data feeds, thereby improving the quality of the OSPAC tool. A delay in the installation of the sea level monitoring systems has led to a corresponding delay in the provision of data inputs to SELENE and subsequently to OSPAC. Some development work has been possible using alternative test time series, but a key implementer in presently taking parental leave, which will delay further development work until October 2023. This deliverable report will be updated thereafter. (EuroSea Deliverable, D5.7)
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Al-Qadi, Imad, José Rivera-Perez, Watheq Sayeh, Javier García Mainieri, Hadi Meidani, John Huang, Hasan Ozer, and Adam Hand. Case Studies Using Quality Control for Performance and Pay for Performance Specifications: Field Observations. Illinois Center for Transportation, June 2020. http://dx.doi.org/10.36501/0197-9191/20-007.

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McCarthy, James, and Tom McGrath. PR-312-12210-R01 CEPM Monitoring Plan for Two-Stoke Cycle Lean Burn Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), March 2019. http://dx.doi.org/10.55274/r0011564.

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In response to ozone and nitrogen dioxide (NO2) National Ambient Air Quality Standards (NAAQS), it is anticipated that there will be continued pressure for retrofit NOx control of existing slow speed integral reciprocating engines. This will likely require the retrofit of many additional legacy lean burn pipeline engines over the next decade, and emissions controls will require compliance verification which has been historically based on periodic emission tests. However, agencies also desire continuous "monitoring" of an operating parameter or parameters indicative of engine status. This document describes a method for ensuring a reciprocating engine with emission controls is operating properly. Continuous engine performance monitoring (CEPM) using on-engine sensors can provide early identification of potential engine operational issues, while also assuring the engine is operating within an acceptable operating envelope consistent with acceptable emissions performance. CEPM can reduce maintenance and compliance costs. This report provides the foundation for lower cost compliance assurance using CEPM.
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Li, Xiaojun, Dingxin Cheng, Kun Zhang, Kanwar M. S. Jakhar, and Uday V. Pericherla. Development of a Quality Control Method and Guidelines for Hot Mix Asphalt Using Recycled Concrete Aggregate. Mineta Transportation Institute, March 2020. http://dx.doi.org/10.31979/mti.2020.1854.

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Al-Qadi, Imad, José Rivera-Perez, Javier García Mainieri, and Watheq Sayeh. Illinois’ Experience Using Quality Control for Performance and Pay for Performance to Determine Pay for Hot-mix Asphalt. Illinois Center for Transportation, July 2021. http://dx.doi.org/10.36501/0197-9191/21-023.

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Савченко, Лариса Олексіївна. Characteristic of the future specialists professional preparation to the quality educational assessment. Педагогічна думка, 2015. http://dx.doi.org/10.31812/0564/365.

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To consider the characteristics of the levels of formation of professional readiness of future specialists to pedagogical diagnostics of quality of education. Diagnostics of levels of formation of professional training of future teachers is realized through a number of research methods: observation, testing, interview, analysis of the results. The basis of the diagnostic systems research on three-level assessment scale, supplemented by «high level», which allows to adapt to local conditions and to enrich the features of a particular region. Analysis of modern works on the organization of control of educational achievements of students; the log books of progress and attendance of students in classes, conversations with teachers and our own observations have proved that in educational practice there are different models of the organization of control of educational achievements of students in pedagogical disciplines and professional subject training, validation should be carried out using various schemes and scales of evaluation present different approaches to the calculation of rating of students (in some cases even within the same University) and others. The analysis proved that the existing complex control tasks and tasks for independent work is only seventy percent of jobs differentiated by professional orientation, the rest of the job for the overall development of pedagogical competence of students. In our opinion, well developed task, that is, those that consist mainly of problems of professional and pedagogical orientation that enhance future teachers ‘ motivation to learn pedagogical disciplines. The quality of education becomes the main reference point that determines the credibility and competitiveness of educational institutions on regional, national level and international arena.
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Hall, Candice, and Robert Jensen. Utilizing data from the NOAA National Data Buoy Center. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40059.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) guides users through the quality control (QC) and processing steps that are necessary when using archived U.S. National Oceanic and Atmospheric Administration (NOAA) National Data Buoy Center (NDBC) wave and meteorological data. This CHETN summarizes methodologies to geographically clean and QC NDBC measurement data for use by the U.S. Army Corps of Engineers (USACE) user community.
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Andrian, Leandro Gaston, Oscar Valencia, Jorge Hirs, and Ivan Leonardo Urrea Rios. Fiscal Rules and Economic Cycles: Quality (Always) Matters. Inter-American Development Bank, January 2023. http://dx.doi.org/10.18235/0004570.

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Governments can issue public debt for both good and bad reasons. The former include intertemporal tax smoothing, fiscal stimulus, and asset management. In contrast, the bad reasons, which generate higher indebtedness, are mainly associated with political cycles, rent capture, intergenerational transfers, and common pool problems. Fiscal rules aim to eliminate the problem of time inconsistency of public finances and minimize debt accumulation by setting debt limits. Despite the theoretical relevance of fiscal rules and institutions to the proper management of fiscal processes in different countries, the evidence indicates mixed results regarding the effectiveness of this type of mechanism for fiscal performance. To understand the effect that fiscal rules have on public debt, this paper studies the effect of different types of rules on debt behavior and their differential effects with respect to the economic cycle. Using a dynamic panel, which enables us to control for endogeneity problems, and the use of a fiscal rule quality index (Schaechter et. al., 2012), this paper finds that fiscal rules only have a significant effect on the reduction of public debt during the positive side of the economic cycle if adequate institutional arrangements accompany them. Furthermore, only some types of fiscal rules (expenditure rules) show a significant effect during the negative part of the cycle. These results have relevant policy implications, as they underscore the importance of (1) developing institutional arrangements that promote the proper functioning of fiscal rules and (2) considering economic cycle asymmetries in order to ensure the appropriate operation of fiscal rules and the fulfillment of policy objectives.

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