Industry News | 2021-09-26 16:58:37.0
Atlanta, GA – During the past year, the Koh Young development efforts continued unabated, and Koh Young America is eager to highlight a selection of its latest developments to the reliability experts, process engineers, executives, project managers, designers, and technologists attending SMTA International to help shape the future of the electronics assembly industry. The event will be held November 1-4, 2021 at the Minneapolis Convention Center in Minneapolis, Minnesota and is co-located with Medical Design & Manufacturing (MD&M) to bring together one of the largest audiences of engineering and manufacturing professionals in the Midwest.
Industry News | 2021-09-30 15:14:09.0
During the past year, the Koh Young development efforts continued unabated, and Koh Young America is eager to highlight a selection of its latest developments to the reliability experts, process engineers, executives, project managers, designers, and technologists attending SMTA International to help shape the future of the electronics assembly industry. The event will be held November 1-4, 2021 at the Minneapolis Convention Center in Minneapolis, Minnesota and is co-located with Medical Design & Manufacturing (MD&M) to bring together one of the largest audiences of engineering and manufacturing professionals in the Midwest.
Industry News | 2005-01-31 15:06:35.0
The new SiP41103, SiP41104, and SiP41105 dual MOSFET drivers, which drive both the lower and upper MOSFETs in a half-bridge configuration, work in systems with supply voltages from 4.5 V up to 50 V.
Industry News | 2004-04-29 11:08:54.0
Parvus is designated a Quality Select supplier of Lockheed Martin
Industry News | 2009-08-04 16:55:04.0
Niedernhall, 2009, August 4 – PCB expert Würth Elektronik’s printed pulse resistors achieved the till now claimed impossible high-voltage range of 200,000 V. That has been realised once more by the Würth Elektronik-owned “smart-conductive polymer thick film systems”, outstanding due to a wide variability of resistances.
Industry News | 2012-01-20 14:48:53.0
CyberOptics will introduce the QX100™ - AOI Tabletop System equipped with AI2 next-generation image analysis software, alongside a range of in-line AOI and advanced SPI systems at the upcoming IPC APEX exhibition. Also on display, will be a prototype version of the QX100i™ - an entry-level inline AOI system aimed at providing a cost-effective inspection solution.
Industry News | 2006-02-24 16:32:14.0
New Boost Converter ICs Designed to Maximize Power Available From Single- or Dual-Cell NiMH or Alkaline Battery Packs
Industry News | 2016-03-03 08:27:28.0
Nordson MARCH has recently released a white paper showing the results of RF plasma processing on conformal coating adhesion, the conformity of the coating coverage, and the resulting effects on electrical functionality of a fully assembled printed circuit board. The research was done in conjunction with Nordson ASYMTEK, AirBorn Electronics, and SMART Microsystems (formerly known as Desich SMART Center). The paper can be downloaded at http://bit.ly/MARCH-PlasmaWP.
Technical Library | 2020-07-02 13:29:37.0
Industry standards such as J-STD-005 and JIS Z 3284-1994 call for the use of viscosity measurement(s) as a quality assurance test method for solder paste. Almost all solder paste produced and sold use a viscosity range at a single shear rate as part of the pass-fail criteria for shipment and customer acceptance respectively. As had been reported many times, an estimated 80% of the defects associated with the surface mount technology process involve defects created during the printing process. Viscosity at a single shear rate could predict a fatal flaw in the printability of a solder paste sample. However, false positive single shear rate viscosity readings are not unknown.
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.
