{"id":1504,"date":"2026-09-09T11:39:31","date_gmt":"2026-09-09T09:39:31","guid":{"rendered":"https:\/\/matvision.eu\/use-cases\/"},"modified":"2026-10-12T23:17:51","modified_gmt":"2026-10-12T21:17:51","slug":"use-cases","status":"publish","type":"page","link":"https:\/\/matvision.eu\/fr\/use-cases\/","title":{"rendered":"Cas d\u2019usage"},"content":{"rendered":"
\n
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Applications<\/p>\n\n\n

Un probl\u00e8me de tri.
Une approche concr\u00e8te.<\/mark><\/h1>\n\n\n

Six familles de flux. Choisissez le v\u00f4tre pour voir ce que nous en retirons, avec quelle machine, et ce que cela change pour le lot.<\/p>\n\n\n

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\"Crushed<\/picture><\/picture><\/picture><\/picture><\/picture><\/picture><\/a><\/figure>\n\n\n

Matvision Refine<\/p>\n\n\n

E40 \u00b7 ferraille apr\u00e8s overband<\/h3>\n\n\n

L\u2019aimant emporte avec l\u2019acier les moteurs en cuivre et les pi\u00e8ces non ferreuses qui y sont fix\u00e9es. Nous les retirons de la bande : un acier mieux class\u00e9, et du cuivre vendu comme une sortie \u00e0 part enti\u00e8re.<\/p>\n\n\n

Lire le cas E40 \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

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\"Separated<\/picture><\/picture><\/picture><\/picture><\/picture><\/picture><\/a><\/figure>\n\n\n

Matvision Grade<\/p>\n\n\n

Zorba \u00b7 non-ferreux apr\u00e8s courants de Foucault<\/h3>\n\n\n

Cuivre, zinc, plomb, laiton et inox, tous m\u00e9lang\u00e9s et \u00e0 des prix tr\u00e8s diff\u00e9rents. Chaque pi\u00e8ce est identifi\u00e9e et plac\u00e9e dans la sortie o\u00f9 elle vaut le plus, en un seul passage.<\/p>\n\n\n

Lire le cas Zorba \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

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\"Used<\/picture><\/picture><\/picture><\/picture><\/picture><\/picture><\/a><\/figure>\n\n\n

Matvision Refine<\/p>\n\n\n

DEEE \u00b7 les batteries d\u2019abord, la valeur ensuite<\/h3>\n\n\n

Les batteries sortent d\u2019abord, parce que la s\u00e9curit\u00e9 passe avant la valeur. Le m\u00eame passage retire ensuite les connecteurs et les cartes peupl\u00e9es, avant qu\u2019ils ne se diluent dans le reste du lot.<\/p>\n\n\n

Lire le cas DEEE \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

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\"Sorted<\/picture><\/picture><\/picture><\/picture><\/picture><\/picture><\/a><\/figure>\n\n\n

Matvision Grade \u00b7 Matvision Sense<\/p>\n\n\n

Alliages \u00b7 la nuance \u00e0 l\u2019int\u00e9rieur d\u2019une famille<\/h3>\n\n\n

Une fois la fraction s\u00e9par\u00e9e par famille, ce qui reste de sa valeur tient \u00e0 la nuance. Le LIBS lit la composition, l\u00e0 o\u00f9 aucune mesure de surface n\u2019y parvient.<\/p>\n\n\n

\u00c0 propos de Matvision Grade \u2197<\/a> \u00c0 propos de Matvision Sense \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

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\"Two<\/picture><\/picture><\/picture><\/picture><\/picture><\/picture><\/a><\/figure>\n\n\n

Matvision Grade<\/p>\n\n\n

Chutes de production<\/h3>\n\n\n

Chutes, rebuts et pertes de proc\u00e9d\u00e9 : des alliages connus, dans des proportions inconnues. Mesur\u00e9s pi\u00e8ce par pi\u00e8ce, ils retournent \u00e0 la fonderie \u00e0 la valeur de chaque famille plut\u00f4t qu\u2019au prix d\u2019un lot m\u00e9lang\u00e9.<\/p>\n\n\n

\u00c0 propos de Matvision Grade \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

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\"Non-ferrous<\/picture><\/picture><\/picture><\/picture><\/picture><\/picture><\/a><\/figure>\n\n\n

Matvision Refine ou Grade<\/p>\n\n\n

M\u00e2chefers d\u2019incin\u00e9ration (IBA)<\/h3>\n\n\n

La fraction non ferreuse r\u00e9cup\u00e9r\u00e9e des m\u00e2chefers contient encore ce qu\u2019un affineur refuse de payer. Nous le retirons, ou nous s\u00e9parons la fraction en familles qu\u2019un acheteur ach\u00e8te s\u00e9par\u00e9ment.<\/p>\n\n\n

Demander une \u00e9tude de performance \u2197<\/a><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n

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\"Engineers<\/picture><\/picture><\/picture><\/picture><\/figure>\n\n\n
\n
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D\u2019o\u00f9 viennent les chiffres<\/p>\n\n\n

Chaque application commence
sur sur un flux r\u00e9el.<\/mark><\/h2>\n\n\n

Les mod\u00e8les sont entra\u00een\u00e9s et mesur\u00e9s sur la mati\u00e8re elle-m\u00eame, \u00e0 la vitesse de convoyeur et \u00e0 la densit\u00e9 d\u2019alimentation vis\u00e9es, avant que quoi que ce soit n\u2019entre dans une offre.<\/p>\n\n<\/div><\/div>\n\n<\/div><\/div>\n\n<\/div><\/div>\n\n<\/div><\/div>\n\n\n

\n
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Au-del\u00e0 de ces six flux<\/p>\n\n\n

Un flux qui ne figure pas dans cette liste.<\/mark><\/h2>\n\n\n

L\u2019essentiel de notre travail part de l\u2019une des familles ci-dessus. Le reste part d\u2019une mati\u00e8re que personne n\u2019a tri\u00e9e ainsi : un r\u00e9sidu de production, une fraction issue d\u2019un proc\u00e9d\u00e9 nouveau, une s\u00e9paration qu\u2019un projet de recherche cherche \u00e0 d\u00e9montrer. Nous les prenons comme des projets, avec la m\u00eame m\u00e9thode et les m\u00eames machines.<\/p>\n\n\n

\n
\n

Une ligne pour un flux<\/p>\n\n\n

Construite pour votre cas<\/h3>\n\n\n

Quand un flux sort de ces six familles, c\u2019est la machine qui s\u2019y adapte et non l\u2019inverse : des capteurs choisis sur votre mati\u00e8re, des sorties choisies sur ce que vous vendez, de l\u2019\u00e9tude de performance \u00e0 la mise en service.<\/p>\n\n\n

Demander une \u00e9tude de performance \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

\n

Caract\u00e9risation<\/p>\n\n\n

Mesurer avant d\u2019investir<\/h3>\n\n\n

Envoyez de la mati\u00e8re et recevez sa composition mesur\u00e9e pi\u00e8ce par pi\u00e8ce, avec le rapport qui l\u2019accompagne. Une unit\u00e9 Matvision Sense peut aussi \u00eatre install\u00e9e seule, sur une ligne pilote ou dans un laboratoire.<\/p>\n\n\n

\u00c0 propos de Matvision Sense \u2197<\/a><\/p>\n<\/div><\/div>\n\n\n

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Projets de recherche<\/p>\n\n\n

R&D and collaborative projects<\/h3>\n\n\n

Matvision takes part in European collaborative R&D projects and works with research teams and industrial groups on separations that do not exist yet. Consortium partners are welcome to write.<\/p>\n\n\n

Parler \u00e0 l\u2019\u00e9quipe \u2197<\/a><\/p>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n<\/div><\/div>\n\n\n

\n
\n

La prochaine \u00e9tape commence avec votre mati\u00e8re.<\/mark><\/h2>\n\n\n
\n
Demander une \u00e9tude de performance<\/a><\/div>\n\n<\/div>\n\n<\/div><\/div>\n\n<\/div><\/div>","protected":false},"excerpt":{"rendered":"

Applications A sorting problem.A practical approach. Six families of stream. Pick yours to see what we take out of it, with which […]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"matvision-page.php","meta":{"footnotes":""},"class_list":["post-1504","page","type-page","status-publish","hentry"],"yoast_head":"\nCas d\u2019application : les probl\u00e8mes de tri trait\u00e9s<\/title>\n<meta name=\"description\" content=\"Six familles de flux, de l\u2019E40 et du Zorba aux DEEE, aux alliages, aux chutes de production et aux m\u00e2chefers, et ce que nous retirons de chacun.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/matvision.eu\/fr\/use-cases\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cas d\u2019application : les probl\u00e8mes de tri 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