Over forty years ago electronics manufacturers developed the process of using a laser to adjust operating parameters of an electronic component or circuit by reducing the amount of resistor material. Early designs used probe cards for their testing method as they were an excellent solution to high volume production applications.
As more and more electronics production facilities employ “lights-out manufacturing” concepts and move towards I4.0, becoming fully automated with little or no human presence.
Acquiring capital equipment for your company can be a major financial decision which may be daunting at first sight. As resistor trimming volume and complexity grows while component dimensions shrink, many companies are beginning the process of purchasing modern laser resistor trimming systems to meet these needs.
The drive for smaller but high-functionality handheld devices led to the implementation of laser-drilled microvias over 20 years ago. Laser drilling of vias is now an established process in the PCB industry for many different circuit applications. Two laser types and three main methods are in use: UV laser drilling only; CO2 laser drilling only; and a combination of both the UV and CO2, commonly referred to as the hybrid process. This hybrid process provides the greatest opportunity for process optimization in the widest range of materials.
The Benefits of Turn-key Laser Resistor Trimming and Via Drilling Systems During a Pandemic Updated: Sept 29 So far 2020 and 2021 have turned out
Read the full article by Vern Solberg in Design007 Magazine.
When a printed circuit board, hybrid circuit or component is assembled, testing will occur using a variety of methods which include flying probes, probe cards, pogo pins or other custom testing options …
Upgrading laser processing systems is an investment in the future, but it is a capital expense that is challenging for many companies. It usually ends up being a balancing act of keeping older equipment …
Industry 4.0 refers to a new stage in the Industrial Revolution which focuses on smart and autonomous systems fueled by data and machine learning. Sometimes referred to as Industry Internet of Things (IIoT) or smart manufacturing …