# MVEX01-20-17 Optimization of 3D-printed surfaces for efficient heat transfer

​Background
Metal additive manufacturing (also known as 3D printing) has gained a significant industrial attention in recent years. The freedom of design offered by this manufacturing technology enables the realization of new designs which are difficult or impossible to manufacture with conventional methods. Metal 3D printing has been evaluated for manufacturing compact and efficient heat exchangers—devices that exchange energy between a cold and a hot fluid.
The design of a heat exchanger involves consideration of both heat transfer (between different fluids) and the pumping power needed to move the fluid through the heat exchanger.  On one hand, by increasing the surface area, the heat transfer increases. The surface area density (measured as [surface area]/[volume]) can be increased by designing complex surfaces such as the one illustrated in Figure 1. On the other hand, the required pumping power increases with an increased surface area.

Objective
The goal of this bachelor thesis is to optimize some of the following four objectives in a multi-objective approach: (i) maximize the surface area, (ii) minimize the pressure drop, (iii) minimize the weight  (or volume), and (iv) maximize the heat transfer capacity of a hypothetical heat exchanger. The suggested methodology is simulation-based optimization. A model adapted to the problem described above will be developed and used. The outcome from the optimization will be 3D-printed and tested in a flow rig at RISE IVF. Experiments in the flow rig will enable the determination of the heat transfer capacity of each specimen and the corresponding pressure drop.

Projektkod MVEX01-20-17
Gruppstorlek 3-4 studenter
Målgrupp GU- och Chalmersstudenter. För GU-studenter räknas projektet som ett projekt i Tillämpad matematik (MMG900/MMG920).
Projektspecifika förkunskapskrav Nonlinear optimization, Fluid mechanics. Dessutom rekommenderas
Computational fluid dynamics (CFD).
Se respektive kursplan för allmänna förkunskapskrav. Utöver de allmänna förkunskapskraven i MVEX01 ska Chalmersstudenter ha avklarat kurser i en- och flervariabelanalys, linjär algebra och matematisk statistik.
Handledare Michael Patriksson (mipat@chalmers.se) och Ann-Brith Strömberg (anstr@chalmers.se) samt
Sepehr Hatami (sepehr.hatami@ri.se),  Division Materials and Production - RISE IVF AB, Mölndal.
Examinator Maria Roginskaya, Ulla Dinger
Institution Matematiska vetenskaper

Sidansvarig Publicerad: on 11 dec 2019.