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Leverage a digital twin of your plating line to predict plating performance and increase manufacturing capacity
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The world’s only PCB DFM software that applies automated and optimized copper balancing to your PCB design and panel layout.
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State-of-the-art graphical simulation platform for enhancing the plating performance of your PCB panel and pattern plating processes.
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CAD independent software platform for the simulation of the automotive electrocoating process of a body-in-white (BIW).
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Simulate the performances of electropolishing processes based on a virtual mock-up of the electropolishing cell.
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Elsyca CorrosionMaster
CorrosionMaster identifies corrosion hot spots and predicts corrosion rates, enabling engineers to look at alternative material combinations and/or coating systems, or investigate corrosion-mitigating measures.
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Improve vehicles interior acoustic comfort by performing upfront virtual smoke tests.
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Automatically creates meshes for a variety of applications such as acoustics, CFD, thermal analysis, etc
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The role of the digital twin concept in assessing and optimizing copper electroplating process performance

PEDC 2025

The role of the digital twin concept in assessing and optimizing copper electroplating process performance

The role of the digital twin concept in assessing and optimizing copper electroplating process performance (PEDC 2025)

Aga Franczak; Robrecht Belis, Elsyca NV.

Abstract

PCB manufacturing involves transforming a design into a physical board while meeting specific requirements. Understanding these design specifications is crucial, as they directly impact the PCB's fabrication process, performance, and yield rate. One key design specification is copper thieving - the addition of “dummy” pads across the surface that are plated along with the features designed onto the outer layers. The purpose of the process is to provide a uniform distribution of copper across the outer layers to make plating current and plating in the holes more uniform. Copper electroplating is crucial in PCB manufacturing, primarily because it reduces ground line impedance and voltage drop. The performance of the electroplating process directly affects the quality of the copper layer and related mechanical properties. In acid copper plating, achieving proper thickness distribution and surface uniformity without compromising metallurgical properties like elongation and tensile strength is challenging. Lowering the current density can help equalize copper thickness but significantly increases plating time, adversely affecting PCB throughput. Therefore, controlling process performance and the quality of the electroplated copper layer are vital aspects of PCB plating, which remains challenging even for experienced PCB manufacturers. Recognizing plating process performance in terms of copper layer coverage and thickness upfront adds significant value to process design and control. This paper explores the concept of automated copper thieving and the digital twin of the copper plating process in PCB manufacturing. These modern CAE tools facilitate the rapid assessment and mitigation of copper under- and over-plated surface areas, aligning closely with the principles of smart manufacturing.

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