Technical Library: anc base error (Page 1 of 1)

High Speed IC Chip Programming Machine

Technical Library | 2023-11-25 07:46:13.0

In the dynamic realm of Surface Mount Technology (SMT), where efficiency and precision are paramount, I.C.T, a renowned SMT equipment manufacturer, proudly unveils its latest innovation – the I.C.T-910 Automatic IC Programming System. Crafted to cater to the intricate demands of SMD chip programming, this cutting-edge device vows to redefine your programming experience and elevate production capabilities. Programming system.png The Power of IC Programming System: As a beacon of excellence in IC Programming Systems, the I.C.T-910 seamlessly integrates advanced technology with user-friendly features. This system empowers manufacturers in the SMT industry, offering versatility in programming needs by accommodating a wide range of SMD chips. Precision Programming: The I.C.T-910 boasts unparalleled precision in programming SMD chips, ensuring accuracy in every generated code. In the SMT industry, where even the slightest error can lead to setbacks, this precision is indispensable. Efficiency Redefined: Accelerate your production timelines with the I.C.T-910's efficient programming capabilities. Engineered to optimize workflows, this system ensures rapid programming without compromising quality, recognizing that time is money in the SMT industry. User-Friendly Interface: Navigating the complexities of IC programming is simplified with the I.C.T-910's intuitive user interface. Operators, even without extensive programming expertise, can harness the system's power, minimizing the learning curve and maximizing productivity. Compatibility and Adaptability: The I.C.T-910 breaks free from limitations, supporting a wide array of SMD chip models. It is a versatile solution for diverse programming requirements, allowing you to stay ahead of technological advancements. Why Choose I.C.T-910 IC Programming System? 8 sets of 32-64sit burners Nozzle: 4pcs Camera: 2pcs (Component camera + Marking camera) UPH: 2000-3000PCS/H Package type: PLCC, JLCC, SOIC, QFP, TQFP, PQFP, VQFP, TSOP, SOP, TSOPII, PSOP, TSSOP, SON, EBGA, FBGA, VFBGA, BGA, CSP, SCSP, and so on. Compatibility: Adapters provided based on customer products. Simple operation interface: Modular and layered interface with pictures and texts for easy operation. System upgrade: Free software upgrade service. Reliability: Trust in the I.C.T-910, a programming system that prioritizes reliability. Rigorous testing ensures consistent and dependable performance, reducing the risk of programming errors and downtime. Elevate Your Competitiveness: Incorporate the I.C.T-910 into your production line to elevate competitiveness in the market. Stay ahead with a programming system designed to meet the demands of the fast-paced SMT industry. Embrace the Future with I.C.T-910: In a landscape where precision, efficiency, and adaptability are non-negotiable, the I.C.T-910 Automatic IC Programming System emerges as the game-changer for SMT manufacturers. Revolutionize your programming processes, enhance productivity, and future-proof your operations with the I.C.T-910. Choose I.C.T-910 and stay ahead in the SMT industry, ushering in the next era of IC programming excellence.

I.C.T ( Dongguan ICT Technology Co., Ltd. )

A Machine Vision Based Automatic Optical Inspection System for Measuring Drilling Quality of Printed Circuit Boards

Technical Library | 2024-04-29 21:39:52.0

In this paper, we develop and put into practice an Automatic Optical Inspection (AOI) system based on machine vision to check the holes on a printed circuit board (PCB). We incorporate the hardware and software. For the hardware part, we combine a PC, the three-axis positioning system, a lighting device and CCD cameras. For the software part, we utilize image registration, image segmentation, drill numbering, drill contrast, and defect displays to achieve this system. Results indicated that an accuracy of 5µm could be achieved in errors of the PCB holes allowing comparisons to be made. This is significant in inspecting the missing, the multi-hole and the incorrect location of the holes. However, previous work only focusses on one or other feature of the holes. Our research is able to assess multiple features: missing holes, incorrectly located holes and excessive holes. Equally, our results could be displayed as a bar chart and target plot. This has not been achieved before. These displays help users analyze the causes of errors and immediately correct the problems. Additionally, this AOI system is valuable for checking a large number of holes and finding out the defective ones on a PCB. Meanwhile, we apply a 0.1mm image resolution which is better than others used in industry. We set a detecting standard based on 2mm diameter of circles to diagnose the quality of the holes within 10 seconds.

National Cheng Kung University

Enhanced X-Ray Inspection of Solder Joints in SMT Electronics Production using Convolutional Neural Networks

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.

Siemens Process Industries and Drives

Making Sense of Laminate Dielectric Properties

Technical Library | 2020-12-16 18:50:42.0

System operating speeds continue to increase as a function of the consumer demand for such technologies as faster Internet connectivity, video on demand, and mobile communications technology. As a result, new high performance PCB substrates have emerged to address signal integrity issues at higher operating frequencies. These are commonly called low Dk and/or low loss (Df) materials. The published "typical" values found on a product data sheet provide limited information, usually a single construction and resin content, and are derived from a wide range of test methods and test sample configurations. A printed circuit board designer or front end application engineer must be aware that making a design decision based on the limited information found on a product data sheet can lead to errors which can delay a product launch or increase the assembled PCB cost. The purpose of this paper is to highlight critical selection factors that go beyond a typical product data sheet and explain how these factors must be considered when selecting materials for high speed applications

Isola Group

Full Material Declarations: Removing Barriers to Environmental Data Reporting

Technical Library | 2019-09-04 21:35:53.0

Since the European Directives, RoHS (Restriction of Hazardous Substances) and REACH (Registration, Evaluation, Authorization and Restriction of Chemicals), entered into force in 2006-7, the number of regulated substances continues to grow. REACH adds new substances roughly twice a year, and more substances will be added to RoHS in 2019. While these open-ended regulations represent an ongoing burden for supply chain reporting, some ability to remain ahead of new substance restrictions can be achieved through full material declarations (FMD) specifically the IPC-1752A Class D Standard (the "Standard"), which was developed by the IPC - Association Connecting Electronic Industries. What is important to the supply chain is access to user-friendly, easily accessible or free, fully supported tools that allow suppliers to create and modify XML (Extensible Markup Language) files as specified in the Standard. Some tools will provide enhancements that validate required data entry and provide real-time interactive messages to facilitate the resolution of errors. In addition, validation and auto-population of substance CAS (Chemical Abstract Service) numbers, and Class D weight rollup validation ensure greater success in the acceptance of the declarations in customer systems that automate data gathering and reporting. A good tool should support importing existing IPC-1752A files for editing; this capability reduces the effort to update older declarations and greatly benefits suppliers of a family of products with similar composition. One of the problems with FMDs is the use of "wildcard" non-CAS numbers based on a declarable substance list (DSL). While the substances in different company's lists tend to have some overlap, no two DSL’s are the same. We provide an understanding of the commonality and differences between representative DSLs, and the ability to configure how much of a non-DSL substance percent is allowed. Case studies are discussed to show how supplier compliance data, can be automatically loaded into the customer's enterprise compliance system. Finally, we briefly discuss future enhancements and other developments like Once an Article, Always an Article (O5A) that will continue to require IPC standards and supporting tools to evolve.

TE Connectivity

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