Technical Library | 2023-09-15 11:16:39.0
Elevate your electronics manufacturing with the SMT Offline X-Ray Machine. Achieve comprehensive component inspection and reliability assurance through advanced X-ray technology.
Technical Library | 2023-09-15 11:14:33.0
Optimize your inventory management with our SMD SMT X-Ray Offline Component Counting Machine. Ensure precise and efficient component counting with advanced X-ray technology. Enhance your operational efficiency and inventory accuracy for SMD and SMT components. Explore how this machine can revolutionize your component counting process and streamline your operations.
Technical Library | 2023-11-20 18:10:20.0
The electronics production is prone to a multitude of possible failures along the production process. Therefore, the manufacturing process of surface-mounted electronics devices (SMD) includes visual quality inspection processes for defect detection. The detection of certain error patterns like solder voids and head in pillow defects require radioscopic inspection. These high-end inspection machines, like the X-ray inspection, rely on static checking routines, programmed manually by the expert user of the machine, to verify the quality. The utilization of the implicit knowledge of domain expert(s), based on soldering guidelines, allows the evaluation of the quality. The distinctive dependence on the individual qualification significantly influences false call rates of the inbuilt computer vision routines. In this contribution, we present a novel framework for the automatic solder joint classification based on Convolutional Neural Networks (CNN), flexibly reclassifying insufficient X-ray inspection results. We utilize existing deep learning network architectures for a region of interest detection on 2D grayscale images. The comparison with product-related meta-data ensures the presence of relevant areas and results in a subsequent classification based on a CNN. Subsequent data augmentation ensures sufficient input features. The results indicate a significant reduction of the false call rate compared to commercial X-ray machines, combined with reduced product-related optimization iterations.
Technical Library | 2022-10-31 09:12:57.0
Type: Filter Cup Model: Siemens Placement Machine Certification: CE，ROHS Trademark: Siemens Brief Description: Feeder Fixing Screws Wight: 1kg High Light: 00343010-01 SMT Spare Parts, ROHS SMT Spare Parts, SIEMENS PL EA MCH Filter
Technical Library | 2022-10-31 10:18:24.0
Model: IENENS PL EA Servo Motor Usage: Siemens Pick And Place Machine Description: Drive Module SERVO Wight: 2kg Packing: Paper Case Product Description: Motor High Light: 00338005-01 SMT Spare Parts, Snap Switch Changer SMT Spare Parts, SIEMENS Spare Parts Snap Switch Changer
Technical Library | 2014-12-18 17:22:34.0
Manufacturing technology faces challenges with new packages/process when confronting the need for high yields. Identifying product defects associated with the manufacturing process is a critical part of electronics manufacturing. In this project, we focus on how to use AXI to identify BGA Head-in-Pillow (HIP), which is challenging for AXI testing. Our goal is to help us understand the capabilities of current AXI machines.
Technical Library | 2022-10-31 09:18:09.0
Model: STRIPPING DEVICE PLATE Type: High-speed Chip Mounter Brand: SIEMENS SIPLACE ASM QUALITY: 100% Tested Usage: SIPLACE SMT Placement Machine HIGH LIGHT: Surface Mount Components, Smt Machine Part High Light: 00341941S01 SMT Spare Parts, 12*16mm SMT Spare Parts, 00341941S01
Technical Library | 2019-04-04 15:39:49.0
Siemens announced today the introduction of Camstar™ Electronics Suite software, an innovative manufacturing execution system (MES) for electronics. Building on the successful enterprise-level platform for integrated circuit (IC) manufacturing, this powerful, configurable and scalable MES solution enables printed circuit board (PCB) and box assemblers to meet traceability requirements, improve efficiency levels and control manufacturing operations through direct Internet of Things (IoT) connectivity with machines and production lines.
Technical Library | 1999-04-29 15:39:03.0
The paper describes the effects of a debridging knife on inerted soldering environments in an Electrovert Econopak wave solder machine. It reviews experiments to improve the purity of the soldering environment and results of the tests.
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