Product
Solid Edge
Solid Edge propose des technologies innovantes et inégalées en conception CAO. La technologie synchrone vous apporte la simplicité de l’édition directe associée au contrôle de la conception paramétrique. La modélisation de subdivision vous permet de concevoir des formes complexes en des temps records. La gestion des grands assemblages est un facteur différenciateur important. La conception générative vous permet de concevoir des pièces tout à la fois plus rigides et plus légères. La modélisation convergente vous permet de modéliser d'une manière unifiée les données maillées et les données issues de la modélisation CAO 3D. FloEFD pour solid edge permet l’analyse des propriétés mécaniques et thermiques de l’écoulement des fluides ainsi que leurs interaction avec l’environnement
Solid Edge 2D est un logiciel de dessin industriel gratuit compatible DWG et DXF. Le logiciel est paramétrique et variationnel. Il comprend tous les outils d’esquisse propres aux logiciels CAO 3D, avec la rapidité des logiciels CAO 2D.
Solid Edge 2025 introduit Solid Edge X, une version du logiciel Solid Edge dans un environnement SaaS sécurisé, avec de nouveaux outils d’intelligence artificielle (IA) pour optimiser le travail.
Price of the Product
Characteristics of the Product
- Type CAO
- Model Solid Edge
- Brand Siemens
Category of the Product
Company website
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| Machine Vision | : AI Vision Solution It determines the type of defect that cannot be visually confirmed by itself and eliminates human errors so that the case where no defect is found converges to 0. Industrial cameras, special optical devices, sensors, etc. are used to process, analyze, and measure with H/W and S/W to improve product perfection. - Alignment : Automatic determination of defects by finding the location and direction and comparing them with the specified vanity value - Identifier : Locate and identify specified barcodes, characters, labels, colors, shapes, sizes, and unique patterns within a product - Measurement : Determining whether the measured value calculated for the distance between designated positions is within the allowable range - Inspection : Detect defects, blemishes, flaws, and abnormalities throughout the product
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H/W to utilize existing AI models consists of (1) input (camera, light), (2) control recognition unit (industrial computer or server cloud), and (3) output (monitor, keyboard, and mouse), forming a high-end price range 99% of manufacturers in Korea are small and medium-sized enterprises, and economic conditions prevent them from adopting AI models The "Hyper Q Edge Camera" is connected to the camera with a neural network chip (NPU) and can upload and use AI models on its own, without the need for a separate server or industrial computer There is no need for data transfer in the cloud, and AI computation is processed on its own in the device, with the advantages of privacy protection and low cost. It has versatility that can be selected and used according to the uploaded AI model, and can be used in various industrial sites or requirements -feature : Built-in neural network chip (NPU) Camera (resolution) can be changed according to customer requirements Equipped with customized AI models -merit : Low-cost H/W configuration Don't use the cloud to protect your privacy Versatility used in various industrial sites Various AI models can be installed according to the purpose
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| LMS_Linear Motion Systems | : Smart Factory Solution It is a control solution for efficient management and productivity improvement of LMS (Linear Motion Systems), a next-generation logistics transport system. [ Features ] 01. Clean room, can be driven inside vacuum chamber 02. Capable of operating in inert gas, high temperature, and chemicals 03. Transport without cable bears, advantageous for clean room processes 04. Improved process times with individual carrier control 05. Carrier circulation structure increases facility production - Realization of precise precision through RFID matching for each carrier - Calculation of optimal logistics transport routes through prediction of future conditions - State preservation through real-time visualization - Removal of bottlenecks such as communication speed improvement
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