Technical Library | 2017-04-20 13:51:14.0
The one constant in electronics manufacturing is change. Moore's Law, which successfully predicted a rate of change at which transistor counts doubled on Integrated Circuits (ICs) at lower cost for decades, is ceding to be an appropriate prediction tool. Increasing technical and economic requirements, deriving from the semiconductor environment, are cascaded down to the printed circuit and in particular to the IC substrate manufacturers. This is both a challenge and an opportunity for IC Substrate manufacturers, when dealing with the demands of the packaging market. (...)This paper introduces two new electroless copper baths developed for IC substrates manufacturing based on Semi Additive Process (SAP) technology (hereafter referred to as E'less Copper IC) and HDI production (hereafter referred to as E'less Copper HDI) and optimized for high throw into BMVs. An introduction to reliable throwing power measurement methods based on scanning electron microscope (SEM) is given, followed by a compilation and discussion of key performance criteria for each application, namely throwing power, copper adhesion on the substrate, dry film adhesion and reliability.
Technical Library | 2019-05-02 13:47:39.0
Automating electronics assembly is complex because many devices are not manufactured on a scale that justifies the cost of setting up robotic systems, which need frequent readjustments as models change. Moreover, robots are only appropriate for a limited part of assembly because small, intricate devices are particularly difficult for them to assemble. Therefore, assembly line designers must minimize operational and readjustment costs by determining the optimal assignment of tasks and resources for workstations. Several research studies address task assignment issues, most of them dealing with robot costs as fixed amount, ignoring operational costs. In real factories, the cost of human resources is constant, whereas robot costs increase with uptime. Thus, human workload must be as large and robot workload as small as possible for the given number of humans and robots. We propose a new task assignment method that establishes a workload balancing that meet precedence and further constraints.
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