Bachelor and Master Theses

Background: Machining is a process of removing metals from a workpiece to give it a specific shape and geometries, metal is removed in the form of chips of various shapes and sizes from the workpiece. By observing the chip properties, the quality of the machining operation and insert quality at the time of machining can be determined. Different machining parameters result in different kinds of chip formation. Observing the properties of the chip helps in recommending optimum machining parameters for a given cutting insert tool and metallic workpiece.

To find the optimum machining parameter chip needed to be inspected visually using its images.

            Scope: The scope of this thesis project is to set up and propose a “Real-time Image Acquisition System” which should be able to capture the formation of chips and takes images and/or videos and store them in the cloud through IoT systems.

            Goal: Investigate the different cameras and their setup inside the machine and their integration with IoT systems.

Task Description

·       Explore the best method to capture the image/Video of the chip in the air.

·       Propose and design a method to collect a chip formed while the machining process

·       Design frame and mounts to secure the camera at a location providing a clear view of the collected chip.

·       Create the data pipeline of image/video to dump the image/video stream in the Cloud or Database for further analytics.

Reference URL:

About SECO Product and Machining

https://www.youtube.com/user/SecoToolsAB

Turning Examples.

https://www.youtube.com/watch?v=k-rtPAzUL5A

https://www.youtube.com/watch?v=IHwAaSQTQ14

Prerequisite:  

·       Exposure to Software development.

·       Exposure to robotics, embedded systems or related design activities.

-   AI and Machine learning development using Python

·       Knowledge of PLC and control systems and their creation.

SECO Tools