This research is focused on the link between manufacturing parameters and the resulting mid-spatial frequency error in the manufacturing process of precision optics. The goal is to understand the generation mechanisms of mid-spatial frequency errors and avoid their appearance in the manufacturing process. Also, a simulation which is able to predict the resulting mid spatial frequency error from a manufacturing process is desired.
The aim of our research was to study middle spatial frequency errors (MSFE) on optical surfaces. We investigate the surfaces after manufacturing processes to find out the main affecting factors and to choose the proper processing parameters to minimize the size of the errors. To find an appropriate parameter window we have to be able not only to define the factors, which lead to MSFE, but also to analyze the change of the error after next following production steps.
This research is focused on the link between manufacturing parameters and the resulting mid-spatial frequency error in the manufacturing process of precision optics. This third publication focuses on strategies of avoidance and generation mechanisms of the mid-spatial frequency errors from the grinding process. The Goal is to understand the generation mechanisms of the mid-spatial frequency errors and avoid their appearance in the manufacturing process.
Due to its flexibility, laser can be used for a wide variety of applications. Applications that are suitable for laser material processing include polishing, hardening, cleaning structuring, soldering and 3D printing (SLM). However, treating of complex freeform surfaces is challenging in terms of track planning. As manual track planning is not economically viable, there is a demand for software solutions for track planning with respect to time-based processes. This paper deals with the development of a software solution for automated track planning with respect to time-based processes. In addition, the introduced software includes postprocessors for fully automated G-Code, Rapid and Kuka Robot Language (KRL) generation. To demonstrate the feasibility and advantage of a time-based offline track planning of robot guided laser application, an additively manufactured freeform surface was laser polished. An application example represents the robot guided laser polishing of a complex 3D freeform surface. Investigations revealed a relative roughness reduction ~92 % of X2CrNiMo17-12-2 steel (1.4404).
This research is focused on the link between manufacturing parameters and the resulting mid-spatial frequency error in the manufacturing process of precision optics. This second publication focuses on the parameters and the simulation of the grinding step. The Goal is to understand and avoid the appearance of the mid-spatial frequency error and to develop a simulation which can predict the resulting mid-spatial frequency error from a manufacturing process.
Nowadays the strict quality criteria for modern optical products lead to the use of the point contact processes for grinding and polishing. This art of manufacturing is especially sensitive to the occurring of the mid spatial frequency structures, which influence negative the optical properties of the lenses. Mid spatial frequency errors are too small to be eliminated as a form error, and too big to be polished away. The manufacturing chain consists of numerous steps. Finally, different mid spatial frequency errors commingle together and it is a difficult task to assign them to the proper process step. In the article we discuss the possibilities to analyze surfaces direct after grinding.
The aim of our research is to study middle spatial frequency errors (MSFE) on optical surfaces. We investigate the surfaces after all manufacturing processes to find out the main affecting factors and to choose the proper processing parameters to minimize the size of the errors. In this paper we describe some middle spatial frequency errors, which occur during grinding. As there are limited possibilities to measure ground surfaces, their analysis from the point of measurement is most difficult. Therefore, it is of utmost importance to optimally organize the measurement guaranteeing sufficient data for the reconstruction of the toolpath and avoidance of aliasing effects. In the paper discuss possible classifications and some difficulties during measuring of grinded surfaces.
This research is focused on the link between manufacturing parameters and the resulting mid spatial frequency error in the manufacturing process of precision optics. This first publication focuses on the parameters of the grinding step. The Goal is to understand and avoid the appearance of the mid spatial frequency error and develop a simulation which is able to predict the resulting mid spatial frequency error for/of a manufacturing process.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.