5 research outputs found

    Forging process control: Influence of key parameters variation on product specifications deviations

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    Process control in forging industry is essential to ensure a better quality of the product with a lower cost at the end of the manufacturing process. To control the process, a number of key parameters must be monitored to prevent product or forging plan deviations. This paper will illustrate how a variation in a process parameter can create product specifications deviations and how key parameters influence product final state. The illustration work is done on a part obtained via hot forging. An analysis is made on product parameters such as geometry, by varying the key process parameter values previously determined from a created methodology. This later is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters

    A generic methodology to improve the control of forging process parameters

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    One of the common problems in forging processes is the lack of key process parameters control, as well as their identification. Certain controlled parameters exist, such as temperature or stroke length, which are usually identified and controlled through a systematic approach. Their selection depends particularly on the part to produce or on customer’s constraints, rather than a rational approach. In this paper, a methodology is proposed to select the key process parameters. There are some methodologies which already exist, such as the DMAIC, which are used to determine the control parameters and their influences on the desired specifications. However, this approach has certain drawbacks. For example, the key parameters are selected by experts, which makes each case study time consuming. The aim is to develop a generic methodology to improve the manufacturing process in the forging industry. The methodology is represented as a decision support system that connects product specifications (geometry, absence of defects…) or other forging specifications (tool wear, involved energy...) to the process parameters. The latter will be able to define the key parameters, their values and their appropriate way of control. These links will be setup using the empirical rules and physical laws

    Développement d’un jumeau numérique pour le pilotage en énergie d’une opération de forgeage

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    Depuis plusieurs années, les processus de fabrication sont progressivement automatisés pour améliorer leur répétabilité et leur reproductibilité. Parallèlement, des optimisations sont apportées afin d’améliorer la robustesse des procédés, pour limiter l’impact des variabilités des paramètres du processus sur la qualité finale de la pièce. Sur des petites séries, comme cela est le cas dans le secteur aéronautique par exemple, cette démarche d’automatisation et d’amélioration de la robustesse n’est pas nécessairement rentable. En effet, même si les gammes sont rigoureusement préparées en bureau des méthodes, la production reste majoritairement tributaire du savoir-faire des opérateurs. Pourtant, les accréditations qualité comme NADCAP (National Aerospace and Defense Contractors Accreditation Program) demandent à tracer le respect des procédures. Or cette demande de traçage qualité est peu compatible avec un processus où les prises de décision de l’opérateur jouent un rôle majeur. Ces dernières années, avec l’apparition des concepts de l’usine du futur (tels que la personnalisation de masse, la robotisation des procédés, l’acquisition et le traitement d’un grand nombre d’informations, le développement des jumeaux numériques, etc.), l’enjeu est de pouvoir apporter de la flexibilité et de la robustesse particulièrement adaptées à la petite série. Dans ce contexte, le Laboratoire de Conception – Fabrication – Commande (LCFC) à Metz, avec son partenaire le CETIM, dans le cadre du laboratoire commun, le Laboratoire de Mise en Forme des Matériaux (LaMFM) ont, entre autres, pour préoccupation d’industrialiser ces concepts dans les entreprises de forge et de mise en forme de la matière. Dans ce cadre, un projet de thèse sur la création d’un jumeau numérique pour le pilotage d’une opération de forgeage en énergie a démarré en octobre 2021

    Numerical approach for thick plates manufacturing

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    Towards the Real-Time Piloting of a Forging Process: Development of a Surrogate Model for a Multiple Blow Operation

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    Forging processes are defined by variables related to the workpiece, the tools, the machine, and the process itself, and these variables are called process variables. They have a direct impact on the quality of the finished product, so it is important to accurately define them at the very beginning of the process design. Nowadays, the design stage is supported by numerical simulations, however, these simulations are made under ideal process conditions and do not consider the dynamics of the forging machine or the variabilities that may occur in production (e.g., variabilities in the dimensions of the billet). This suggests that among the different process variables, those defined for piloting the process (such as the blows energies, for example) are fixed under nominal conditions and are not calibrated for each part produced. This study exploits a methodology in four steps to create a surrogate model and implement it into a machine-behavior model for real-time piloting of a forging operation with a screw press. This model supports the piloting of the operation, providing a value for the energy setpoint, according to the current state of process variables, these being the input of the model. The methodology is detailed for a multiple-blow cold upsetting of a copper billet
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