Comparative Life-Cycle Analysis of Additively Manufactured vs. Conventional Metals
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.
- 1.1Introduction
- 2.
- 1.2Background of the Study
- 3.
- 1.3Statement of the Problem
- 4.
- 1.4Aim and Objectives of the Study
- 5.
- 1.5Research Questions
- 6.
- 1.6Research Hypotheses
- 7.
- 1.7Significance of the Study
- 8.
- 1.8Scope and Delimitation of the Study
- 9.
- 1.9Limitations of the Study
- 10.
- 1.10Organisation of the Study
- 11.
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 1.
- 2.1Conceptual Underpinnings of Life-Cycle Analysis in Metals
- 2.
- 2.2Theoretical Framework: Life-Cycle Assessment and Circular-Economy Linkages
- 3.
- 2.3Theoretical Framework: Materials Selection and End-of-Life Scenarios
- 4.
- 2.4Additively Manufactured Metals: Process Parameters and Material Characteristics
- 5.
- 2.5Conventional Metallurgy: Manufacturing Routes and Material Performance
- 6.
- 2.6Life-Cycle Inventory Data for Additive Manufacturing vs. Conventional Metals
- 7.
- 2.7Environmental Impact Categories Relevant to LCA of Metals
- 8.
- 2.8Energy Use and Emissions in AM vs. Conventional Production
- 9.
- 2.9Material Efficiency, Waste, and Recycling Considerations
- 10.
- 2.10Economic and Social Dimensions in Metal LCA
- 11.
- 2.11Gaps in LCA Methodologies for Metals Across Manufacturings
- 12.
- 2.12Conceptual Model: Integrating AM and Conventional Metals in LCA
- 13.
- 2.13Summary of Empirical Evidence and Synthesis
Chapter THREE
RESEARCH METHODOLOGY
- 1.
- 3.1Research Design: Comparative Cross-Sectional LCA of Metals
- 2.
- 3.2Philosophical Paradigm: Pragmatism and Post-Positivism Interplay
- 3.
- 3.3Population of the Study: Metal Alloys Both AM and Conventional
- 4.
- 3.4Sampling Frame, Sample Size and Technique
- 5.
- 3.5Data Sources and Primary Data Instruments
- 6.
- 3.6Secondary Data Sources for LCA Inventories
- 7.
- 3.7Instrument Validity and Reliability Procedures
- 8.
- 3.8Data Collection Procedures and Protocols
- 9.
- 3.9Data Analysis Methods: LCA Impact Assessment Methods
- 10.
- 3.10Model Specification or Analytical Framework
- 11.
- 3.11Ethical Considerations and Compliance
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 1.
- 4.1Data Presentation: AM vs. Conventional Metals Inventory
- 2.
- 4.2Descriptive Statistics of Life-Cycle Stages
- 3.
- 4.3Comparative Environmental Impacts Across Categories
- 4.
- 4.4Hypotheses Testing: Significance of Differences
- 5.
- 4.5Sensitivity and Uncertainty Analysis
- 6.
- 4.6Economic Implications in LCA: Cost-Impact Correlations
- 7.
- 4.7Interpretation of Results in the Context of AM Technologies
- 8.
- 4.8Discussion of Findings Relative to Literature Review
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 1.
- 5.1Summary of Findings
- 2.
- 5.2Conclusion
- 3.
- 5.3Contribution to Knowledge
- 4.
- 5.4Practical Recommendations for Industry and Policy
- 5.
- 5.5Directions for Future Research
Thesis Abstract
The rapid adoption of additive manufacturing (AM) in metal engineering promises significant environmental and economic benefits, yet a comprehensive, harmonized life-cycle perspective comparing AM metals with conventional metallurgy remains underdeveloped. This study addresses the gap by evaluating the cradle-to-grave environmental and economic performance of metal components produced via laser powder bed fusion (LPBF) against traditionally processed counterparts (casting and subtractive finishing) for a structurally demanding aerospace alloy system (Inconel 718 and Ti-6Al-4V) under realistic usage scenarios. The aim is to quantify trade-offs in material efficiency, energy intensity, emissions, and total cost of ownership, enabling decision-makers to align manufacturing choices with sustainability targets. Specific objectives are (1) to compile a unified life-cycle inventory (LCI) for LPBF-produced and conventionally manufactured components of the selected alloys; (2) to assess environmental impacts using ISO 14040/44-compliant life-cycle assessment (LCA) across midpoints (global warming potential, ozone depletion, cumulative energy demand) and endpoints (human health, ecosystem quality); (3) to compare economic performance through a full life-cycle cost (LCC) analysis, incorporating production, material, energy, post-processing, and end-of-life costs; (4) to evaluate mechanical performance and durability through accelerated fatigue and creep tests, linking results to LCA/LCC results; and (5) to synthesize findings within a theoretical framework of the Resource-Efficient Manufacturing paradigm and the Theory of Planned Behavior as it relates to supplier and consumer adoption decisions. The methodology employs a mixed-methods design combining quantitative LCA/LCC modeling with experimental testing and qualitative stakeholder insights. The population comprises metal components designed for structural aerospace applications fabricated from IN718 and Ti-6Al-4V. A factorial sample of 20 LPBF-built parts and 20 conventionally manufactured parts per alloy, matched for geometry, weight, and nominal load path, is selected. Data collection instruments include (i) an LCI database augmented with primary energy measurements from a micro-utility energy meter and LPBF machine logs; (ii) standardized mechanical test rigs for quasi-static, fatigue, and creep testing; (iii) post-processing energy and material usage records; (iv) a survey and semi-structured interviews with design engineers, manufacturers, and procurement specialists to capture decision drivers and perceived risks. Validity and reliability are addressed through calibration of energy meters, cross-validation of LCI data with ecoinvent 3.8, repeatability tests for mechanical experiments, and triangulation of qualitative responses. Data analysis integrates multiple techniques. LCA employs SimaPro 9 to compute midpoints using ReCiPe2016 and normalize against a common functional unit (1 kg of finished alloy component) with a consequential approach for end-of-life scenarios. LCC uses a discounted cash flow model over an assumed 20-year service life, incorporating material prices, energy tariffs, capital depreciation, maintenance, and end-of-life recovery. Statistical analysis includes regression and ANOVA to identify effects of processing route and alloy on mechanical performance and environmental/economic indicators, with post hoc tests to determine significance between groups. A thematic analysis of interview data identifies barriers and enablers to adoption, framed by the Resource-Efficient Manufacturing theory and the Theory of Planned Behavior to interpret intention-behavior gaps. Expected findings indicate that AM metals exhibit lower material waste and higher design freedom, yielding reductions in non-renewable energy consumption for complex geometries, but exhibit higher energy use during production due to LPBF process intensity. The LCA is anticipated to reveal a trade-off where midpoints such as global warming potential are favorable for AM in certain alloys, while ozone depletion and mineral resource depletion may favor conventional processes depending on energy mixes. The LCC is expected to show higher upfront costs for AM parts but lower post-processing and potential end-of-life credits, with break-even horizons differing by alloy and component complexity. Mechanical tests are anticipated to show comparable or superior fatigue performance for AM parts with optimized heat treatments, contingent on porosity control and microstructural management. The study contributes to knowledge by delivering a harmonized, cross-validated framework for evaluating AM vs. conventional metals across environmental and economic dimensions, informs policy on sustainable manufacturing pathways, and advances theory by integrating Resource-Efficient Manufacturing and behavioral decision-making in the context of technology adoption. Recommendations include targeted process optimization to reduce energy intensity in AM, standards development for comparative LCA/LCC reporting, and stakeholder-informed strategies to accelerate the uptake of sustainable AM practices in aerospace supply chains.
Thesis Overview
This research investigates how the environmental and economic impacts of metals produced by additive manufacturing (AM) compare with those of conventionally manufactured metals, using a life-cycle perspective. It asks which manufacturing route offers lower overall burden across stages from raw material extraction to end-of-life disposal or recycling, and how factors such as energy use, material efficiency, and waste generation influence this ranking.
Why it matters: metals are central to engineering, and manufacturing choices drive sustainability, cost, and performance. AM promises design freedom and material efficiency but can have high energy demands or metal powder waste. Conventional methods are mature but may waste material and involve different supply chains. Understanding the true life-cycle trade-offs helps designers, manufacturers, and policymakers choose methods that minimize environmental impact and cost without compromising quality.
What problem or gap it addresses: while separate life-cycle assessments (LCAs) exist for AM and for conventional metal manufacturing, there is limited cross-comparison under a consistent framework that considers alloy types, part complexity, and end-of-life options. The study fills this gap by conducting a comparative LCA across representative metals and geometries, using standardized data and transparent assumptions.
What the researcher will do step by step:
- select representative metal systems (e.g., Ti-6Al-4V, 316L stainless steel) and parts with varying complexity.
- define system boundaries and functional units (e.g., per kilogram of finished part, per unit strength).
- collect primary and secondary data on energy use, material inputs, emissions, and waste for both AM (powder bed fusion or directed energy deposition) and conventional processes.
- apply a consistent LCA framework (ISO 14040/14044) and perform inventory analysis, impact assessment (e.g., Global Warming Potential, Cumulative Energy Demand, non-renewable resource depletion), and sensitivity analysis.
- conduct a simple economic analysis (cost per functional unit) to complement environmental results.
- perform scenario analysis addressing recycling, post-processing, and different energy grids.
- integrate findings to identify conditions where AM outperforms conventional methods.
What contribution the study will make: a robust, apples-to-apples comparison clarifying when AM adds environmental or cost benefits, guiding design decisions, manufacturing strategy, and policy development.
Expected outcome: a ranked assessment of manufacturing routes by environmental and economic performance for specific metals and parts, with practical recommendations on process selection, design for manufacture, and end-of-life considerations.