Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.
G01N 29/52 - Traitement du signal de réponse détecté en utilisant des procédés d'inversion autres que l'analyse spectrale, p.ex. inversion conjuguée de gradient
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06F 30/17 - Conception mécanique paramétrique ou variationnelle
G06F 30/23 - Optimisation, vérification ou simulation de l’objet conçu utilisant les méthodes des éléments finis [MEF] ou les méthodes à différences finies [MDF]
G06F 119/18 - Analyse de fabricabilité ou optimisation de fabricabilité
G06F 119/02 - Analyse de fiabilité ou optimisation de fiabilité; Analyse de défaillance, p.ex. performance dans le pire scénario, analyse du mode de défaillance et de ses effets [FMEA]
Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.
G01N 29/52 - Traitement du signal de réponse détecté en utilisant des procédés d'inversion autres que l'analyse spectrale, p.ex. inversion conjuguée de gradient
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06F 30/17 - Conception mécanique paramétrique ou variationnelle
G06F 30/3308 - Vérification de la conception, p.ex. simulation fonctionnelle ou vérification du modèle par simulation
G06F 30/367 - Vérification de la conception, p.ex. par simulation, programme de simulation avec emphase de circuit intégré [SPICE], méthodes directes ou de relaxation
G06F 119/18 - Analyse de fabricabilité ou optimisation de fabricabilité
G06F 119/02 - Analyse de fiabilité ou optimisation de fiabilité; Analyse de défaillance, p.ex. performance dans le pire scénario, analyse du mode de défaillance et de ses effets [FMEA]
Creation and use of a digital twin instance (DTI) for a physical instance of the part. The DTI may be created by a model inversion process such that model parameters are iterated until a convergence criterion related to a physical resonance inspection result and a digital resonance inspection result is satisfied. The DTI may then be used in relation to part evaluation including through simulated use of the part. The physical instance of the part may be evaluated by way of the DTI or the DTI may be used to generate maintenance schedules specific to the physical instance of the part.
G01N 29/00 - Recherche ou analyse des matériaux par l'emploi d'ondes ultrasonores, sonores ou infrasonores; Visualisation de l'intérieur d'objets par transmission d'ondes ultrasonores ou sonores à travers l'objet
G06F 30/20 - Optimisation, vérification ou simulation de l’objet conçu
G06F 30/13 - Conception architecturale, p.ex. conception architecturale assistée par ordinateur [CAAO] relative à la conception de bâtiments, de ponts, de paysages, d’usines ou de routes
G06F 30/17 - Conception mécanique paramétrique ou variationnelle
G01N 29/44 - Traitement du signal de réponse détecté
G01N 29/52 - Traitement du signal de réponse détecté en utilisant des procédés d'inversion autres que l'analyse spectrale, p.ex. inversion conjuguée de gradient
G06F 119/18 - Analyse de fabricabilité ou optimisation de fabricabilité
G06F 119/02 - Analyse de fiabilité ou optimisation de fiabilité; Analyse de défaillance, p.ex. performance dans le pire scénario, analyse du mode de défaillance et de ses effets [FMEA]
4.
Resonance inspection of manufactured parts with witness coupon testing
Resonance inspection of parts in which a resonance standard to which a frequency response of the part is compared is at least in part based on a property derived from testing of a witness coupon that is manufactured concurrently with the part. This approach may allow properties of a material and/or manufacturing technique used to produce the part and witness coupon to inform the resonance standard to improve testing. Approaches are described related to both empirically derived resonance standards as well as model-based resonance standards.
A part evaluation tool is disclosed and which may be used to assess a part-under-test for use in a system. A plurality of natural frequencies for a system operated at a first steady-state operational are identified. A vibrational response of a part-under-test is acquired, and resonance frequencies within this vibrational response are identified. Resonance frequencies of the part-under-test are compared with the identified natural frequencies for purposes of classifying the part as compliant (e.g., suitable for use in the system) or non-compliant (e.g., not suitable for use in the system).
Generation of feedback for a part production process based on vibrational testing of parts produced by the part production process. A response characteristic may be identified from vibrational data regarding the parts that is correlated to a process variable of the part production process. The response characteristic may relate to a state of the process variable such that identification of the response characteristic may allow for generation of feedback regarding adjustment of a process control. Such response characteristic may relate to a vibrational metric regarding vibrational data and may comprise identifying a trend in data between a plurality of parts. Also presented are approaches to evaluation of parts, including batch evaluation of parts in which collective vibrational data regarding a plurality of parts belonging to a batch are analyzed. The process control aspects may be performed independently or in combination with part evaluation.
Generation of feedback for a part production process based on vibrational testing of parts produced by the part production process. A response characteristic may be identified from vibrational data regarding the parts that is correlated to a process variable of the part production process. The response characteristic may relate to a state of the process variable such that identification of the response characteristic may allow for generation of feedback regarding adjustment of a process control. Such response characteristic may relate to a vibrational metric regarding vibrational data and may comprise identifying a trend in data between a plurality of parts. Also presented are approaches to evaluation of parts, including batch evaluation of parts in which collective vibrational data regarding a plurality of parts belonging to a batch are analyzed. The process control aspects may be performed independently or in combination with part evaluation.
Generation of feedback for a part production process based on vibrational testing of parts produced by the part production process. A response characteristic may be identified from vibrational data regarding the parts that is correlated to a process variable of the part production process. The response characteristic may relate to a state of the process variable such that identification of the response characteristic may allow for generation of feedback regarding adjustment of a process control. Such response characteristic may relate to a vibrational metric regarding vibrational data and may comprise identifying a trend in data between a plurality of parts. Also presented are approaches to evaluation of parts, including batch evaluation of parts in which collective vibrational data regarding a plurality of parts belonging to a batch are analyzed. The process control aspects may be performed independently or in combination with part evaluation.
A part evaluation tool is disclosed and which may be used to assess a part-under-test for use in a system. A plurality of natural frequencies for a system operated at a first steady-state operational are identified. A vibrational response of a part-under-test is acquired, and resonance frequencies within this vibrational response are identified. Resonance frequencies of the part-under-test are compared with the identified natural frequencies for purposes of classifying the part as compliant (e.g., suitable for use in the system) or non-compliant (e.g., not suitable for use in the system).
Various embodiments relating to resonance inspections and in-service parts are disclosed. One protocol (150) includes conducting a resonance inspection of an in-service part (152). The frequency response of the in-service part may be compared with a resonance standard (154) for purposes of determining whether or not the in-service part is changing abnormally (156). An in-service part that is identified as changing abnormally may be characterized as being “rejected” (160). An in-service part that is no identified as changing abnormally may be characterized as being “accepted” (158).
G01N 22/00 - Recherche ou analyse des matériaux par l'utilisation de micro-ondes ou d'ondes radio, c. à d. d'ondes électromagnétiques d'une longueur d'onde d'un millimètre ou plus
G01N 29/46 - Traitement du signal de réponse détecté par analyse spectrale, p.ex. par analyse de Fourier
G01N 29/44 - Traitement du signal de réponse détecté
G01N 29/34 - Génération des ondes ultrasonores, sonores ou infrasonores
G01N 29/12 - Analyse de solides en mesurant la fréquence ou la résonance des ondes acoustiques
A resonance inspection tool is disclosed that may be configured to assign a part to a first classification (accepted part) or a second classification (rejected part) using a cluster combination array. Such a cluster combination array may be defined from a first cluster array having a plurality of first clusters (each being of the first classification), and from a second cluster array having a plurality of second clusters (each being of the second classification). One cluster combination array presents all possible combinations of the same first cluster from the first cluster array and each second cluster from the second cluster array, where each such cluster combination includes a corresponding sort. Another cluster combination array presents all possible combinations of the same second cluster from the second cluster array and each first cluster from the first cluster array, where each such cluster combination includes a corresponding sort.
A part (120) may be subjected to both a resonance inspection and a surface vibration inspection. Various protocols (230; 240; 250; 280; 260) are disclosed as to how the results of one or more of these inspections may be used to evaluate the part (120).
G01N 29/12 - Analyse de solides en mesurant la fréquence ou la résonance des ondes acoustiques
G01N 29/44 - Traitement du signal de réponse détecté
G01H 9/00 - Mesure des vibrations mécaniques ou des ondes ultrasonores, sonores ou infrasonores en utilisant des moyens sensibles aux radiations, p.ex. des moyens optiques
Various approaches for assessing a part for a defect are disclosed and that are based upon SAW modes. In one embodiment, a part-under-test (120) is excited. One or more SAW modes (206) are identified in the frequency response (240/260) of the part-under-test (120). A SAW mode area (248/266) in the frequency response of the part-under-test (120) is compared with a baseline SAW mode area (238/258) of a baseline frequency response (230/250) (and which may be associated with an acceptable part). This comparison may be used to determine if the part-under-test (120) may be characterized defective in at least some respect.
A system and method for evaluating a part-under-test (120) is disclosed. The part-under-test (120) is excited using at least one drive frequency. A first surface acoustical wave (SAW) mode (206) is identified in the frequency response (200). A separate reference peak (204) for the identified SAW mode (206) is also identified in the frequency response (200). At least one degeneracy assessment zone (208) is evaluated for existence of a surface defect trigger condition. If a surface defect trigger condition exists, the part-under-test (120) may be rejected. Otherwise, the part-under-test (120) may be accepted.
A waveform generator and a signal analyzer are respectively provided in electrical communication with an input transducer and an output transducer capable of conversion between electrical and acoustic signals, and in mechanical communication with a part. A processor coupled with the waveform generator and signal analyzer receives a set of parameters defining a frequency scan from which it determines a number of frequency sweeps to be performed by the waveform generator. Each of the frequency sweeps has a number of frequencies less than a maximum capacity of the waveform generator, and for each frequency sweep, the processor instructs the waveform generator to excite the input transducer and synchronously receiving a response signal with the signal analyzer at multiple frequencies.
Various embodiments relating to resonance inspections and in-service parts are disclosed. One protocol (150) includes conducting a resonance inspection of an in-service part (152). The frequency response of the in-service part may be compared with a resonance standard (154) for purposes of determining whether or not the in-service part is changing abnormally (156). An in-service part that is identified as changing abnormally may be characterized as being “rejected” (160). An in-service part that is no identified as changing abnormally may be characterized as being “accepted” (158).
G01N 22/00 - Recherche ou analyse des matériaux par l'utilisation de micro-ondes ou d'ondes radio, c. à d. d'ondes électromagnétiques d'une longueur d'onde d'un millimètre ou plus
G01N 29/46 - Traitement du signal de réponse détecté par analyse spectrale, p.ex. par analyse de Fourier
G01N 29/44 - Traitement du signal de réponse détecté
G01N 29/34 - Génération des ondes ultrasonores, sonores ou infrasonores
brevets
