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Research: Optimising Topology for Lightweight Metal Structures in Additive Manufacturin...

Field: Mechanical Engineering Type: Research project Bloom: Create / Evaluate Level: Final-year / PG capstone Inspired by: MIT / Stanford / Oxford research agendas

Real-world project · AICTE-aligned · AI-graded · Audit-ready certificate

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About this project
Research: Optimising Topology for Lightweight Metal Structures in Additive Manufacturing Using Finite Element Analysis and Experimental Validation

Research question: How can topology optimisation techniques improve the mechanical performance and weight reduction of metal structures fabricated by additive manufacturing?

Additive manufacturing (AM) enables the fabrication of complex metal geometries that are difficult or impossible to achieve with traditional manufacturing methods. The ability to create lightweight structures with tailored mechanical properties is particularly valuable in aerospace, automotive, and biomedical engineering.

Despite significant advances in AM, there remain challenges in optimising structural topology for weight reduction while maintaining mechanical integrity. Existing literature often focuses on theoretical models or simulation studies, with limited experimental validation of optimised designs produced via AM. This gap motivates the investigation of practical topology optimisation techniques validated by physical testing.

This thesis will combine computational topology optimisation (using methods such as finite element analysis and gradient-based algorithms) with fabrication via selective laser melting (SLM) and mechanical testing of optimised metal structures. The study will benchmark different optimisation approaches, evaluate manufacturability constraints, and analyse the mechanical performance of fabricated samples.

The project’s findings will inform best practices for designing lightweight, high-performance metal structures for AM, contributing to more efficient and sustainable engineering solutions. This research is relevant for industries seeking to leverage AM for advanced structural applications.

Milestones
1. Literature Review & Problem Definition
15 marks 21d
Survey current topology optimisation techniques and AM challenges, define the scope and specific research gap.
2. Research Proposal & Hypotheses
10 marks 14d
Formulate testable hypotheses and a detailed research proposal including objectives and expected outcomes.
3. Methodology & Experimental Design
20 marks 21d
Develop computational models, select optimisation algorithms, design test specimens, and plan experiments.
4. Data Collection / Experimentation
20 marks 21d
Fabricate optimised structures using SLM and conduct mechanical tests to collect performance data.
5. Analysis & Results
20 marks 21d
Analyse experimental and simulation data, compare optimisation strategies, and interpret findings.
6. Thesis Write-up & Defense
15 marks 21d
Compose the thesis, prepare figures and tables, and defend the research before examiners.
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Upcoming sessions
SessionWindowEnrolled
Research: Optimising Topology for Lightweight Metal Struc... 11 Jun 2026 to 10 Jun 2028 0
Skills you'll learn
ResearchMechanical EngineeringComprehensive literature reviewHypothesis formulationComputational modelling and simulationExperimental design and planningData collection and mechanical testingStatistical analysis of resultsCritical evaluation of manufacturabilityAcademic writing and reporting
Tools used
ANSYS or Abaqus for finite element analysisTopology optimisation software (e.g.Altair OptiStruct)Selective Laser Melting (SLM) machineUniversal testing machine (for mechanical tests)3D scanning for dimensional analysisMATLAB or Python for data processingStatistical analysis (e.g.ANOVA)Public datasets on mechanical properties of AM metals
Prerequisites
Solid MechanicsFinite Element AnalysisMaterials Science (Metals)Additive Manufacturing PrinciplesExperimental Methods in Engineering
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