Optech acquires tools to optimize optical manufacturing processes
Optech Develops Automated Optical Microsystems Assembly Expertise
Optech is developing a project aimed at acquiring expertise in automated, feedback-controlled assembly of optical microsystems. The project is structured around the design and assembly of an optical module. This module will serve to efficiently inject the infrared signal emitted by a laser microdiode into a multimode optical fiber through a series of microlenses. Such modules are used in several sectors, including telecommunications, aerospace, and medical applications.
The assembly of the module will be controlled by wavefront analysis in both the near and far fields. This dual feedback approach optimizes alignment quality using active alignment techniques, which maximize the optical power coupled into the fiber. “The industry requires this type of process for micro-assembly to scale up production, maximize processes, and increase throughput — all at lower cost,” explains Patrick Orsini. “Because the lenses are so small, a specialized machine is required to position them more precisely and quickly in an automated sequence, making manufacturing easier. Lens design strengthens Optech’s expertise in micro-assembly and micro-connection. In addition, we are building knowledge in programming the ficonTEC machine. We are following the global trend that all assembly processes should be robot-driven.”
As part of this project, Optech acquired a ficonTEC system, equipped with software that creates assembly sequences for micro-optical components such as mirrors and lenses, in order to build complete and functional optical modules. Optech’s objective is to develop and consolidate advanced expertise in automated micro-assembly processes. This expertise will enable Optech to support companies in reducing production costs and improving competitiveness.
“In the face of Chinese competition, North American companies must automate their processes, while also reducing the costs and lead times of assembly through automation — replacing the manual methods still used today,” adds Patrick Orsini.