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Thermodynamics modeling & prediction in a Big Added Area Manufacturing process

Huijbers, Twan (2021) Thermodynamics modeling & prediction in a Big Added Area Manufacturing process. Research Project, Industrial Engineering and Management.

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Abstract

The field of High Tech Systems and Materials (HTSM) in the Netherlands is developing rapidly. NHL Stenden, the University of Groningen and several stakeholders have started the Center of Expertise Smart Sustainable Manufacturing. Currently, a Smart Polymer Granulate 3D Welding System is being developed at the Centre of Expertise, which is located at NHL Stenden in Emmen. This system is a large 3D-printing robot, which can print geometries of large sizes. The process is called Big Additive Area Manufacturing (BAAM). A prototype has been built, in order to research the benefits and possibilities of BAAM. NHL Stenden faces challenges in predicting the thermal behaviour across the printed layers, which results in poor strength of the printed products and divergent geometries. This thesis focuses on building a validated model of the heat transfer process in the smart granulate 3D welding system that predicts the thermal behaviour across the printed layers, in order to increase the strength and decrease the geometry deviation of the printed products. The literature that is available is used as a basis to gain insight in how to construct a model of the heat transfer process. A 1-dimensional and 2-dimensional model is proposed that predicts the thermal behaviour of the heat transfer process across the printed layers. Both proposed models have been constructed with the Finite Difference Method and simulated with Discrete Event Simulation. Several experiments have been conducted to test the accuracy of the proposed models.

Item Type: Thesis (Research Project)
Supervisor name: Jayawardhana, B. and Scherpen, J.M.A.
Degree programme: Industrial Engineering and Management
Thesis type: Research Project
Language: English
Date Deposited: 30 Jul 2021 10:01
Last Modified: 20 Aug 2021 07:43
URI: https://fse.studenttheses.ub.rug.nl/id/eprint/25275

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