Mr. Vassilis Tsolekas Profile

Vassilis Tsolekas

at ATLANTIS Engineering SA

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 26 February 2020 Presentation + Paper

Multi-sensor and closed-loop control of component and assembly processes for zero-defect manufacturing of photonics

E. Beckert, N. Kyriakoulis, J. Milenkovic, V. Tsolekas, A. Mantelos, A. Chondronasios

Proceedings Volume 11284, 112840E (2020) https://doi.org/10.1117/12.2542060

KEYWORDS: Manufacturing, Photonics, Optics manufacturing, Sensors, Image processing, Telecommunications, Data modeling, Decision support systems, Data processing, Data communications

Read Abstract +

Currently, manufacturing processes, evolution of equipment and instrumentation are challenges generally affecting an industry that is determined to follow higher customization and individualization. Thus, the European H2020 project “iQonic” establishes a multi-sensorial component manufacturing and photonic system assembly hardware and software environment for zero-defect manufacturing. Based on laser photonics use cases such as quantum cascade lasers, high power diode laser stacks and others, a sensorial network aligned with the current industrial internet of things architectures utilizing edge devices will acquire production defect relevant data. This data represents descriptors for main sources of defects, in particular contamination and surface damages, as well as component irregularities such as geometry deviations. The near real time data, in conjunction with historian data, flows via a unified middleware layer from the sensorial network into a software based manufacturing model, based on artificial intelligence and a decision support system that allows for error compensation throughout the complete manufacturing chain, early malfunction detection on the component and system level, component-rework and re-assessment. Consequently, aiming for zero-defect manufacturing during various stages of production a key performance indicator (KPI) of iQonic is to lift the overall photonics assembly yield to 80%, decreasing the configuration time of the production environment and enabling for the use of recycled parts. Finally, the iQonic supply chain scalable and holistic approach is under development with the goal to provide flexibility, efficiency and sustainability to the manufacturing industry.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

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.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

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.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years