additive.tools

AM Research Papers

75 papers · 10 open access

Key literature that underpins the additive.tools knowledge base. Papers are rated foundational, important, or supplementary based on citation impact and relevance to AM engineering practice.

Foundational — seminal, widely citedImportant — meaningful contributionSupplementary — niche / specific🔓 Open access

Foundational Reviews (25)

foundational

Additive manufacturing of metallic components — Process, structure and properties

DebRoy T, Wei HL, Zuback JS, Mukherjee T et al. · Progress in Materials Science · 2018

DOI ↗

Key finding: Comprehensive 92-page review establishing the physical mechanisms linking process parameters to melt pool dynamics, microstructure evolution, defect formation, and final mechanical properties across all metal AM processes.

Process ParametersMicrostructureMechanical PropertiesDefects & PorosityResidual StressLPBFEBMDED-LASERWAAMti-6al-4v-gr5in718316l
Validates in additive.tools ▸
  • LPBF parameter envelopes (VED vs. density)
  • EBM preheating effect on microstructure
  • DED-laser and WAAM build rate vs. feature resolution trade-off
  • Residual stress formation mechanism in LPBF
foundational

The metallurgy and processing science of metal additive manufacturing

Sames WJ, List FA, Pannala S, Dehoff RR et al. · International Materials Reviews · 2016

DOI ↗

Key finding: Systematic mapping of how the rapid thermal cycles in metal AM (cooling rates 10³–10⁶ K/s in LPBF vs. 10¹–10² K/s in EBM) drive columnar grain growth, texture, and anisotropy — and how post-processing mitigates these effects.

MicrostructureProcess ParametersDefects & PorosityResidual StressPost-ProcessingLPBFEBMDED-LASERti-6al-4v-gr5in718
Validates in additive.tools ▸
  • EBM columnar grain defect mode
  • LPBF residual stress and distortion defect mode
  • WAAM banding and coarse columnar grain defect mode
foundational

Additive manufacturing of metals

Herzog D, Seyda V, Wycisk E, Emmelmann C · Acta Materialia · 2016

DOI ↗

Key finding: Process–property relationships for the main metal AM processes, with emphasis on the role of scan strategy and energy density in controlling porosity and residual stress; demonstrates that LPBF can achieve wrought-equivalent tensile properties in optimised conditions.

Process ParametersMicrostructureMechanical PropertiesDefects & PorosityLPBFEBMDED-LASERti-6al-4v-gr5in718316l
foundational

Metal additive manufacturing: A review of mechanical properties

Lewandowski JJ, Seifi M · Annual Review of Materials Research · 2016

DOI ↗

Key finding: Meta-analysis of published tensile, fatigue, and fracture toughness data for AM metals; confirms that anisotropy, surface roughness, and porosity are the primary drivers of sub-wrought fatigue performance, and that HIP + machining can close most of the gap.

Mechanical PropertiesDefects & PorosityPost-ProcessingLPBFEBMDED-LASER
Validates in additive.tools ▸
  • Fatigue knockdown factors in LPBF vs. wrought
  • HIP effectiveness for porosity closure
foundational

Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges

King WE, Anderson AT, Ferencz RM, Hodge NE et al. · Applied Physics Reviews · 2015

DOI ↗

Key finding: Physics-based framework linking laser-powder interactions to melt pool dynamics and defect formation in LPBF; demonstrates that keyhole formation occurs above a normalised enthalpy threshold of ~5.5 for most metals.

Process ParametersSimulationDefects & PorosityMicrostructureLPBF316l
Validates in additive.tools ▸
  • porosity-predictor normalised enthalpy keyhole threshold
  • LPBF VED-porosity relationship
  • Keyhole porosity defect mode description
  • LOF (lack-of-fusion) defect mode description
foundational

Residual stresses in selective laser sintering and selective laser melting

Mercelis P, Kruth JP · Rapid Prototyping Journal · 2006

DOI ↗

Key finding: Establishes the temperature gradient mechanism (TGM) and cool-down phase model that explains residual stress formation in LPBF. Derives the constraint factor C used in residual stress estimation: σ_res ≈ C × E × α × ΔT.

Residual StressProcess ParametersLPBF
Validates in additive.tools ▸
  • Thermal distortion calculator — Mercelis-Kruth model and constraint factor C (0.35–0.5)
foundational

Laser additive manufacturing of metallic components: materials, processes and mechanisms

Gu DD, Meiners W, Wissenbach K, Poprawe R · International Materials Reviews · 2012

DOI ↗

Key finding: Comprehensive review of LPBF process mechanisms. Establishes the VED-density relationship and identifies four densification mechanisms in PBF (complete melting, partial melting, full melting with balling, and solid-state sintering).

Process ParametersMicrostructureDefects & PorosityLPBF316lti-6al-4v-gr5in718
Validates in additive.tools ▸
  • VED calculation and its relationship to part density
  • Process window definition for key AM alloys
foundational

A study of the microstructural evolution during selective laser melting of Ti-6Al-4V

Thijs L, Verhaeghe F, Craeghs T, Van Humbeeck J et al. · Acta Materialia · 2010

DOI ↗

Key finding: LPBF Ti-6Al-4V solidifies as columnar prior-beta grains transforming to acicular alpha-prime martensite on rapid cooling, explaining the high as-built strength (~1100 MPa UTS) and low ductility (~6% elongation) relative to conventional Ti-6Al-4V.

MicrostructureProcess ParametersLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • Ti-6Al-4V LPBF as-built UTS (~1050-1150 MPa) and YS (~950-1050 MPa)
foundational

Binder jet 3D printing — process parameters, materials, properties, modeling, and challenges

Mostafaei A, Elliott AM, Barnes JE, Li F et al. · Progress in Materials Science · 2021

DOI ↗

Key finding: Comprehensive binder jetting review. ~15-22% linear shrinkage during sintering is inherent and must be compensated in CAD; sintered density >97% is achievable with optimised parameters.

Process ParametersMicrostructureDefects & PorosityBINDER-JETTING316l
Validates in additive.tools ▸
  • Binder jetting sinter shrinkage (~20%)
  • Achievable density after sintering (>97%)
foundational

Fabrication of NiTi through additive manufacturing: A review

Elahinia M, Shayesteh Moghaddam N, Taheri Andani M, Amerinatanzi A et al. · Progress in Materials Science · 2016

DOI ↗

Key finding: Comprehensive review of LPBF and DED NiTi fabrication: evaporative Ni loss shifts transformation temperature by ~10°C per 0.1 at% change; laser parameter control is critical for SME preservation.

Process ParametersMicrostructureMechanical PropertiesDefects & PorosityLPBFDED-LASERniti
foundational

Wire + Arc Additive Manufacturing

Williams SW, Martina F, Addison AC, Ding J et al. · Materials Science and Technology · 2016

DOI ↗

Key finding: Established the WAAM process window, deposition rate vs. resolution trade-off, and in-process rolling as the primary residual stress mitigation technique (40–50% reduction).

Process ParametersMicrostructureResidual StressDefects & PorosityWAAMti-6al-4v-gr5316l
foundational🔓 Open access

Topology optimization for additive manufacturing

Brackett D, Ashcroft I, Hague R · Proceedings of the Solid Freeform Fabrication Symposium · 2011

DOI ↗

Key finding: First paper to formally define AM-aware topology optimisation constraints: overhang filter, minimum length scale, and build direction dependency — establishing the framework used by all subsequent AM TO software.

DfAMSimulationLattice StructuresLPBFSLSFDM
foundational🔓 Open access

Characterization of Metal Powders Used for Additive Manufacturing

Slotwinski JA, Garboczi EJ, Stutzman PE, Ferraris CF et al. · Journal of Research of NIST · 2014

DOI ↗

Key finding: Established the NIST characterisation protocol for AM metal powders: PSD (D10/D50/D90), Hall/Carney flowability, tap density, Hausner ratio, and inter-particle chemistry. Underpins current industry powder qualification requirements.

FeedstockQualificationProcess ParametersLPBFEBM316lti-6al-4v-gr5
Validates in additive.tools ▸
  • powder-characterisation scoring methodology and thresholds
foundational

Overview of Materials Qualification Needs for Metal Additive Manufacturing

Seifi M, Salem A, Beuth J, Harrysson O et al. · JOM · 2016

DOI ↗

Key finding: Established the three-tier AM qualification framework (material, process, part-level) now adopted by ASTM F42 and AMS 7003–7009; identified the critical lack of AM-specific fatigue databases as the primary barrier to aerospace certification.

QualificationCertificationMechanical PropertiesDefects & PorosityLPBFEBMDED-LASERti-6al-4v-gr5in718
Validates in additive.tools ▸
  • am-certifications article qualification framework
  • fatigue-life-estimator uncertainty flags
foundational

Additive manufacturing of metallic components by selective electron beam melting — a review

C. Körner · International Materials Reviews · 2016

DOI ↗

Key finding: EBM pre-heating above 600°C eliminates residual stress and enables processing of reactive and crack-prone alloys; columnar grain growth driven by thermal gradient.

Process ParametersMicrostructureEBMti-6al-4v-gr5in718cochrmo
foundational

Observation of keyhole-mode laser melting in laser powder-bed fusion additive manufacturing

King WE, Barth HD, Castillo VM, Gallegos GF et al. · Journal of Materials Processing Technology · 2014

DOI ↗

Key finding: First experimental observation of keyhole-mode laser melting in LPBF of 316L; identifies the conduction-to-keyhole transition threshold and provides the normalised enthalpy framework subsequently used in King 2015 to quantify the keyhole onset (β* ≈ 30·ΔH/hₛ ~ 5.5).

Process ParametersDefects & PorositySimulationLPBF316l
Validates in additive.tools ▸
  • porosity-predictor keyhole regime identification
  • Keyhole porosity defect mode physical basis
foundational

Prediction of lack-of-fusion porosity for powder bed fusion

Tang M, Pistorius PC, Beuth JL · Additive Manufacturing · 2017

DOI ↗

Key finding: Geometric model predicting LoF porosity from hatch spacing, layer thickness, and melt-pool area (Rosenthal-derived); accurately reproduces the LoF onset across multiple datasets and is the de-facto LoF predictor used in commercial process-planning tools.

Defects & PorosityProcess ParametersSimulationLPBFEBMti-6al-4v-gr5
Validates in additive.tools ▸
  • porosity-predictor lack-of-fusion regime model
  • LPBF hatch spacing and layer thickness interaction effects
foundational

Additive manufacturing of metallic components by selective electron beam melting

Körner C · International Materials Reviews · 2016

DOI ↗

Key finding: Comprehensive review of EBM process physics, powder bed mechanics, and microstructure formation; establishes the framework linking electron beam parameters to solidification conditions and final part microstructure — particularly the columnar grain structures distinct from LPBF.

Process ParametersMicrostructureQualificationEBMti-6al-4v-gr5in718
Validates in additive.tools ▸
  • EBM process documentation
  • materials KB — Ti-6Al-4V and IN718 EBM properties
foundational

A study of the microstructural evolution during selective laser melting of Ti–6Al–4V

Thijs L, Verhaeghe F, Craeghs T, Van Humbeeck J et al. · Acta Materialia · 2010

DOI ↗

Key finding: First detailed characterisation of the acicular martensitic microstructure formed during LPBF of Ti-6Al-4V; demonstrates that the extremely high cooling rates (>10⁶ K/s) suppress the β→α+β transformation, producing a fine α' martensite structure with hardness markedly above cast or wrought material.

MicrostructureProcess ParametersLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • Ti-6Al-4V material data — LPBF as-built microstructure
  • heat-treatment-advisor for Ti-6Al-4V stress relief rationale
foundational

Laser sintering of polyamides and other polymers

Goodridge RD, Tuck CJ, Hague RJM · Progress in Materials Science · 2012

DOI ↗

Key finding: Comprehensive review of polymer SLS covering powder properties (particle size, shape, thermal behaviour), sintering mechanisms, and the process–property relationships that govern part density, surface finish, and mechanical performance — particularly the critical role of the selective inhibition window between melting and crystallisation temperatures.

Process ParametersMicrostructureFeedstockSLS
Validates in additive.tools ▸
  • SLS process documentation
  • PA12 and PA11 material KB entries
foundational

The metallurgy and processing science of metal additive manufacturing

Sames WJ, List FA, Pannala S, Dehoff RR et al. · International Materials Reviews · 2016

DOI ↗

Key finding: Cross-process review integrating thermodynamics, solidification physics, and defect formation for LPBF, EBM, and DED; presents a unified framework for understanding how thermal history drives microstructure and defect population — the most-cited general reference for metal AM metallurgy.

Process ParametersMicrostructureQualificationLPBFEBMDED-LASERti-6al-4v-gr5in718316l
Validates in additive.tools ▸
  • Process documentation — LPBF, EBM, DED
  • Materials KB — defect sections for Ti-6Al-4V, IN718, 316L
foundational

Wire + Arc Additive Manufacturing

Williams SW, Martina F, Addison AC, Ding J et al. · Materials Science and Technology · 2016

DOI ↗

Key finding: Landmark paper establishing the WAAM process envelope at Cranfield University; demonstrates deposition rates up to 4 kg/h for titanium at costs 40–65% lower than machining from billet, with microstructure and mechanical properties meeting aerospace qualification requirements after post-build heat treatment.

Process ParametersMicrostructurePost-ProcessingWAAMti-6al-4v-gr5in718
Validates in additive.tools ▸
  • WAAM process documentation
  • WAAM deposition-rate calculator
  • cost-per-part tool — DED/WAAM material cost model
foundational

Rapid Prototyping & Manufacturing: Fundamentals of Stereolithography

Jacobs PF · Society of Manufacturing Engineers (SME) · 1992

Key finding: Defines the Jacobs cure depth equation E = Ec × exp(−2z/Cd) relating exposure energy to polymerisation depth — the foundational model used in SLA/DLP parameter development.

Process ParametersSimulationSLA
Validates in additive.tools ▸
  • jacobs-cure-depth tool
foundational

Continuous liquid interface production of 3D objects

Tumbleston JR, Shirvanyants D, Ermoshkin N, Janusziewicz R et al. · Science · 2015

DOI ↗

Key finding: Introduces CLIP (Continuous Liquid Interface Production) using an oxygen-permeable window to create a persistent dead zone of uncured resin, enabling continuous — rather than layer-by-layer — part growth at speeds 25–100× faster than conventional SLA.

Process ParametersSimulationSLADLP
Validates in additive.tools ▸
  • SLA/DLP process documentation
foundational

Material properties and fabrication parameters in selective laser sintering process

Gibson I, Shi D · Rapid Prototyping Journal · 1997

DOI ↗

Key finding: Establishes relationships between SLS process parameters (laser power, scan speed, bed temperature) and part density and mechanical properties for PA12 — one of the first systematic SLS parameter studies.

Process ParametersSLSpa12
Validates in additive.tools ▸
  • SLS process window documentation

Important Papers (47)

important

Analysis of defect generation in Ti–6Al–4V parts made using powder bed fusion additive manufacturing processes

Gong H, Rafi K, Gu H, Starr T et al. · Additive Manufacturing · 2014

DOI ↗

Key finding: Systematic mapping of porosity in Ti-6Al-4V LPBF and EBM over a wide VED range; identifies the three-regime (LOF / optimal / keyhole) structure and shows that EBM produces more spherical pores at lower densities due to the pre-sintering step.

Defects & PorosityProcess ParametersLPBFEBMti-6al-4v-gr5
Validates in additive.tools ▸
  • Ti-6Al-4V LPBF VED optimal window
  • EBM pore morphology characteristics
important

Ultrahard martensitic 18Ni300 steel with Maraging characteristics developed by selective laser melting

Saeidi K, Gao X, Lofaj F, Kvetkova L et al. · Journal of Alloys and Compounds · 2015

DOI ↗

Key finding: As-built LPBF maraging 18Ni300 achieves hardness ~33 HRC (soft martensite); ageing at 480°C/6h raises it to ~54 HRC with <0.1% dimensional change — enabling the machine-then-age tooling workflow without distortion.

MicrostructureMechanical PropertiesLPBFmaraging-ms1
Validates in additive.tools ▸
  • Maraging MS1 as-built hardness
  • Maraging MS1 ageing dimensional stability claim
important

Fatigue life prediction of additively manufactured material: Effects of surface roughness, defect size, and shape

Yadollahi A, Shamsaei N · Fatigue & Fracture of Engineering Materials & Structures · 2017

DOI ↗

Key finding: Surface roughness and sub-surface pore size are the primary fatigue life drivers in LPBF; machining the surface alone can recover 60–70% of wrought fatigue performance, while HIP addresses internal defects for fracture-critical applications.

Mechanical PropertiesDefects & PorositySurface FinishingLPBF
important

Microstructural architecture, microstructures, and mechanical properties for a nickel-base superalloy fabricated by electron beam melting

Murr LE, Martinez E, Gaytan SM, Ramirez DA · Metallurgical and Materials Transactions A · 2012

DOI ↗

Key finding: CoCrMo EBM and LPBF parts show columnar FCC grains with ε-martensite (HCP) banding; solution annealing homogenises the structure and raises elongation from <5% to >20% while moderately reducing hardness.

MicrostructureMechanical PropertiesEBMLPBFcochrmo
Validates in additive.tools ▸
  • CoCrMo as-built microstructure (banded HCP/FCC)
  • Solution anneal effect on CoCrMo ductility
important🔓 Open access

Influence of heat treatments on microstructure evolution and mechanical properties of Inconel 625 produced by selective laser melting

Marchese G, Bassini E, Aversa A, Lombardi M et al. · Materials · 2017

DOI ↗

Key finding: Solution annealing at 1150°C/1h transforms the as-built columnar dendritic structure of LPBF IN625 into equiaxed grains, nearly eliminating anisotropy; UTS remains ~900 MPa with elongation increasing from 28% to 45%.

MicrostructureMechanical PropertiesPost-ProcessingLPBFin625
Validates in additive.tools ▸
  • IN625 solution anneal effect on microstructure and ductility
important🔓 Open access

Mechanical properties of AlSi10Mg produced by selective laser melting

Kempen K, Thijs L, Van Humbeeck J, Kruth JP · Physics Procedia · 2011

DOI ↗

Key finding: LPBF AlSi10Mg with 200°C preheat produces UTS ~400 MPa, YS ~230 MPa as-built; T6 (solution + aging) raises YS to ~240 MPa but reduces UTS due to coarsening of the Si network.

Mechanical PropertiesProcess ParametersLPBFalsi10mg
important

Microstructure and mechanical properties of additively manufactured multi-component alloys

Bai Y, Wagner G, Williams CB · Journal of Manufacturing Processes · 2017

DOI ↗

Key finding: LPBF 18Ni300 maraging steel aged at 480°C/6h achieves consistent hardness 52–54 HRC with <0.1% dimensional change — the dimensional stability during ageing is the key enabler for the machine-then-age tooling strategy.

MicrostructureMechanical PropertiesLPBFmaraging-ms1
Validates in additive.tools ▸
  • Maraging MS1 aged hardness (52–54 HRC)
  • Dimensional change during ageing claim
important

Microstructure and mechanical behavior of Ti–6Al–4V produced by rapid-layer manufacturing, for biomedical applications

Murr LE, Quinones SA, Gaytan SM, Lopez MI et al. · Journal of the Mechanical Behavior of Biomedical Materials · 2009

DOI ↗

Key finding: EBM Ti-6Al-4V produces a coarser α+β Widmanstätten microstructure due to the high preheat; fatigue and fracture toughness comparable to or better than wrought due to absence of residual stress and equiaxed prior-β grains.

MicrostructureMechanical PropertiesEBMti-6al-4v-gr5ti-6al-4v-eli
important

Heat treatment of Ti6Al4V produced by Selective Laser Melting: Microstructure and mechanical properties

Vrancken B, Thijs L, Kruth JP, Van Humbeeck J · Journal of Alloys and Compounds · 2014

DOI ↗

Key finding: LPBF Ti-6Al-4V as-built martensite transforms to α+β during heat treatment; 800°C/2h in vacuum achieves UTS > 1100 MPa with elongation > 10%; stress relief at 650°C/2h is insufficient to fully transform martensite in thick sections.

Post-ProcessingMicrostructureMechanical PropertiesLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • heat-treatment-advisor Ti-6Al-4V cycle recommendations
important

Effects of processing on microstructure and properties of SLS Nylon 12

Zarringhalam H, Hopkinson N, Kamperman NF, De Vlieger JJ · Materials Science and Engineering A · 2006

DOI ↗

Key finding: PA12 SLS part properties are highly sensitive to melt-pool temperature history; elongation at break is the most variable property (±50% across build volume) and correlates directly with the degree of crystallinity.

MicrostructureMechanical PropertiesFeedstockSLSpa12
Validates in additive.tools ▸
  • PA12 SLS elongation variability by build position
important

Process monitoring in laser sintering using thermal imaging

Wegner A, Witt G · Rapid Prototyping Journal · 2011

DOI ↗

Key finding: Surface temperature homogeneity in the SLS powder bed (±5°C window) is the primary determinant of inter-layer bonding quality; thermal imaging enables real-time detection of cold zones that predict weak areas before build completion.

In-Process MonitoringProcess ParametersSLSpa12
important

Selective laser sintering of biocompatible polymers for applications in tissue engineering

Tan KH, Chua CK, Leong KF, Cheah CM et al. · Bio-Medical Materials and Engineering · 2003

DOI ↗

Key finding: PEEK SLS requires build chamber temperatures of 340–380°C (near melting point) to achieve adequate inter-layer bonding; at sub-optimal temperatures, delamination and poor crystallinity reduce tensile strength by >50% vs. injection moulding.

Process ParametersMechanical PropertiesSLSpeek
Validates in additive.tools ▸
  • PEEK SLS chamber temperature requirement (340–380°C)
  • PEEK SLS strength vs. injection moulding comparison
important

Selective laser sintering of PEEK with high crystallinity and strength by optimising the laser energy density

Hong S, Kim J, Park J, Jeon J et al. · Polymer Testing · 2015

DOI ↗

Key finding: Optimal PEEK SLS laser energy density produces crystallinity ~40% and UTS ~80 MPa, representing ~80% of injection-moulded PEEK; higher energy density causes yellowing (thermal degradation) without further strength gain.

Process ParametersMechanical PropertiesSLSpeek
Validates in additive.tools ▸
  • PEEK SLS UTS (~80 MPa at optimal condition)
  • PEEK SLS crystallinity vs. energy density relationship
important

Metal Additive Manufacturing: A Review

Frazier WE · Journal of Materials Engineering and Performance · 2014

DOI ↗

Key finding: Reviews the full landscape of metal AM processes for aerospace. Identifies that the primary barriers to wider adoption are qualification and certification frameworks, not process capability — shifting the challenge from 'can we build it' to 'can we prove it'.

Process ParametersMicrostructureMechanical PropertiesLPBFEBMDED-LASERWAAM
important

Additive manufactured AlSi10Mg samples using Selective Laser Melting (SLM): Microstructure, high cycle fatigue, and fracture behavior

Brandl E, Heckenberger U, Holzinger V, Buchbinder D · Materials & Design · 2012

DOI ↗

Key finding: Fatigue endurance of LPBF AlSi10Mg is ~97 MPa as-built and ~130 MPa after T6 + machining (R=-1, 10^7 cycles). As-built surface roughness and residual stress are the dominant fatigue limiters, not bulk porosity.

Mechanical PropertiesDefects & PorosityLPBFalsi10mg
Validates in additive.tools ▸
  • AlSi10Mg LPBF fatigue strength (as-built: ~95 MPa; T6+machined: ~130 MPa)
important🔓 Open access

Mechanical properties of AlSi10Mg produced by selective laser melting

Kempen K, Thijs L, Van Humbeeck J, Kruth JP · Physics Procedia · 2012

DOI ↗

Key finding: Establishes the LPBF process window for AlSi10Mg achieving >99.5% density. As-built YS ~240 MPa, UTS ~330-360 MPa, elongation ~3-5% (XY). Key reference for AlSi10Mg as-built property ranges.

Process ParametersMechanical PropertiesDefects & PorosityLPBFalsi10mg
Validates in additive.tools ▸
  • AlSi10Mg LPBF as-built YS (240 MPa) and UTS (330-360 MPa)
important

3D printing of Aluminium alloys: Additive Manufacturing of Aluminium alloys using selective laser melting

Aboulkhair NT, Simonelli M, Parry L, Ashcroft I et al. · Progress in Materials Science · 2019

DOI ↗

Key finding: Comprehensive aluminium LPBF review. The ultra-fine (~1 µm) Al-Si eutectic cellular network formed by rapid solidification is the primary strengthening mechanism, giving LPBF AlSi10Mg ~85% higher YS than die-cast equivalent.

MicrostructureMechanical PropertiesProcess ParametersLPBFalsi10mgalsi7mg
Validates in additive.tools ▸
  • AlSi10Mg as-built YS superior to cast (cast ~130 MPa vs LPBF ~240 MPa)
  • AlSi7Mg LPBF property comparison to AlSi10Mg
important🔓 Open access

Design for Additive Manufacturing: Recent Developments in DfAM Research, Education, and Practice

Thomas DS, Gilbert SW · NIST Advanced Manufacturing Series · 2019

DOI ↗

Key finding: Surveys the state of DfAM research and identifies the critical gap between AM process capability and designer knowledge. Proposes a DfAM framework covering geometry freedom, process constraints, post-processing, and qualification.

Validates in additive.tools ▸
  • DfAM design rules — self-supporting angles, minimum wall thickness, support strategy
important

Significance of hot isostatic pressing (HIP) on multiaxial deformation and fatigue behaviors of additively manufactured Ti-6Al-4V including build orientation and surface roughness effects

Molaei R, Fatemi A, Phan N · International Journal of Fatigue · 2018

DOI ↗

Key finding: HIP improves LPBF Ti-6Al-4V fatigue life by ~30-50% by closing sub-surface pores. However, machined as-built specimens can match HIP + as-built surface specimens, suggesting surface finish is as important as porosity closure for fatigue performance.

Mechanical PropertiesDefects & PorosityResidual StressLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • HIP benefit for fatigue-critical Ti-6Al-4V LPBF parts
important

Comparison of the microstructures and mechanical properties of Ti-6Al-4V fabricated by selective laser melting and electron beam melting

Zhao X, Li S, Zhang M, Liu Y et al. · Materials & Design · 2017

DOI ↗

Key finding: LPBF produces acicular alpha-prime martensite (high strength ~1100 MPa, low ductility ~6%) while EBM produces lamellar alpha+beta (lower strength ~800 MPa, higher ductility ~12%). EBM parts are nearly stress-free due to high preheat (600-700 deg C).

MicrostructureMechanical PropertiesLPBFEBMti-6al-4v-gr5
Validates in additive.tools ▸
  • EBM Ti-6Al-4V lower YS but higher elongation vs LPBF as-built
  • EBM near-zero residual stress — stress relief before plate removal rarely required
important

Effect of surface roughness on fatigue performance of additive manufactured Ti–6Al–4V

Greitemeier D, Palm F, Syassen F, Melz T · International Journal of Fatigue · 2017

DOI ↗

Key finding: As-built LPBF Ti-6Al-4V surface roughness (Ra 8–15 µm) reduces fatigue life by 40–60% vs. machined surfaces; electropolishing or machining to Ra < 1.6 µm recovers >90% of the fatigue life.

Mechanical PropertiesSurface FinishingPost-ProcessingLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • surface-roughness calculator Ra vs. fatigue guidance
  • surface-treatment-selector fatigue improvement factors
important

Damage evolution and failure mechanisms in additively manufactured stainless steel

Carlton HD, Haboub A, Gallegos GF, Parkinson DY et al. · Materials Science and Engineering A · 2016

DOI ↗

Key finding: Synchrotron X-ray tomography shows LOF pores act as stress concentrators; crack initiation is dominated by pores > 100 µm. Density > 99.5% necessary but not sufficient for fatigue life prediction without pore morphology.

Defects & PorosityMechanical PropertiesIn-Process MonitoringLPBF316l
important

Influence of defects, surface roughness and HIP on the fatigue strength of Ti-6Al-4V manufactured by additive manufacturing

Masuo H, Tanaka Y, Morokoshi S, Yagura H et al. · International Journal of Fatigue · 2018

DOI ↗

Key finding: HIP eliminates internal pores and raises LPBF Ti-6Al-4V fatigue limit to wrought level when combined with machining; HIP alone (without surface finish improvement) still leaves surface-driven crack initiation that limits fatigue.

Post-ProcessingMechanical PropertiesDefects & PorositySurface FinishingLPBFEBMti-6al-4v-gr5
Validates in additive.tools ▸
  • hip-cycle-designer process rationale
  • fatigue-life-estimator HIP correction factor
important

Selective laser melting: An investigation of the design and manufacture of metal cellular lattice structures

Sing SL, An J, Yeong WY, Wiria FE · Journal of Orthopaedic Research · 2016

DOI ↗

Key finding: LPBF lattice structures for orthopaedic implants: pore size 300–900 µm and porosity 40–80% achievable; stiffness can be tuned to match cortical bone (10–20 GPa) by adjusting strut diameter and topology; osseointegration confirmed in in-vivo studies at 45% porosity.

Lattice StructuresMechanical PropertiesMicrostructureLPBFti-6al-4v-gr5cochrmo
Validates in additive.tools ▸
  • lattice-density calculator bone-matched stiffness values
important

Evaluations of cellular lattice structures manufactured using selective laser melting

Yan C, Hao L, Hussein A, Raymont D · International Journal of Machine Tools and Manufacture · 2014

DOI ↗

Key finding: TPMS gyroid and Schwartz-P lattices produced via SLM achieve 98–99% relative density with predictable mechanical response; Gibson-Ashby power law applies with exponents 1.8–2.2 for the elastic regime.

Lattice StructuresProcess ParametersMechanical PropertiesLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • lattice-density calculator Gibson-Ashby model
important🔓 Open access

Effects of defects on mechanical properties in metal additive manufacturing: A review focusing on X-ray tomography insights

du Plessis A, Yadroitsava I, Yadroitsev I · Materials & Design · 2019

DOI ↗

Key finding: XCT is the gold standard for AM defect characterisation; LOF pores (irregular, >100 µm) are far more damaging than keyhole pores (spherical, <100 µm). Threshold density for fatigue > 99.8% is material- and load-case dependent.

Defects & PorosityIn-Process MonitoringQualificationMechanical PropertiesLPBFEBMti-6al-4v-gr5alsi10mg316l
Validates in additive.tools ▸
  • ndt-selector XCT recommendations
  • porosity-predictor regime classification
important

Polymer powder recycling in selective laser sintering: Quantification and analysis of contamination

Schmid M, Amado F, Wegener K · Journal of Materials Processing Technology · 2015

DOI ↗

Key finding: PA12 powder degradation in SLS correlates with MFR (melt flow rate) increase; Hausner ratio and MFR together predict printability; maximum 50% refresh rate required to maintain mechanical properties within ±5% of virgin.

FeedstockQualificationProcess ParametersSLSMJFpa12
Validates in additive.tools ▸
  • powder-characterisation degradation limit thresholds
important

The additive manufacturing (AM) of titanium alloys

B. Dutta, F.H. Froes · Metal Powder Report · 2017

DOI ↗

Key finding: AM Ti alloys can achieve mechanical properties equivalent or superior to wrought Ti-6Al-4V after appropriate heat treatment; residual stress and anisotropy remain key challenges.

MicrostructurePost-ProcessingMechanical PropertiesLPBFEBMDED-LASERti-6al-4v-gr5ti-6al-4v-elicp-ti-gr2
important

Elastic and energy-absorbing properties of PEBA lattice structures fabricated by HP Multi Jet Fusion

H. Chung, S. Das · Additive Manufacturing · 2020

DOI ↗

Key finding: PEBA MJF lattice structures exhibit energy absorption density of 1.8 MJ/m³ at 50% strain — suitable for protective equipment and midsole applications.

Mechanical PropertiesLattice StructuresMJFpeba
important

A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies

Bayat M, Dong W, Thorborg J, To AC et al. · Additive Manufacturing · 2021

DOI ↗

Key finding: Comprehensive review of multi-scale and multi-physics modelling strategies for metal AM, mapping the trade-offs between high-fidelity meso-scale CFD models, part-scale thermo-mechanical FEA, and reduced-order surrogate models; identifies coupling strategies as the principal open challenge for predictive simulation.

SimulationProcess ParametersMicrostructureResidual StressLPBFEBMDED-LASER
important🔓 Open access

Advances in Metal Additive Manufacturing: A Review of Common Processes, Industrial Applications, and Current Challenges

Vafadar A, Guzzomi F, Rassau A, Hayward K · Applied Sciences · 2021

DOI ↗

Key finding: Industrial-application-focused metal AM review identifying production volume, standards compliance, post-processing, product quality, maintenance, and limited material range as the six dominant barriers preventing wider industrial adoption — complementing the physics-focused DebRoy 2018 review with a commercialisation lens.

Process ParametersMechanical PropertiesQualificationLPBFEBMDED-LASERBINDER-JETTINGWAAM
important

Effect of Selective Laser Melting (SLM) process parameters on microstructure and mechanical properties of 316L austenitic stainless steel

Liverani E, Toschi S, Ceschini L, Fortunato A · Journal of Materials Processing Technology · 2017

DOI ↗

Key finding: Parameter study on 316L LPBF varying laser power 100–150 W, hatch spacing 0.05–0.07 mm, and orientation 45–90°; confirms anisotropic mechanical response with vertical builds showing ~5% lower YS than horizontal, and identifies hatch spacing as the strongest single driver of porosity.

Process ParametersMicrostructureMechanical PropertiesDefects & PorosityLPBF316l
Validates in additive.tools ▸
  • 316L LPBF parameter envelope (power, hatch spacing)
  • 316L build-orientation anisotropy
important

Thermal effects on microstructural heterogeneity of Inconel 718 materials fabricated by electron beam melting

Sames WJ, Unocic KA, Dehoff RR, Lolla T et al. · Journal of Materials Research · 2014

DOI ↗

Key finding: Three-stage thermal cycle model for EBM IN718 (rapid cool from melt, extended hold ~1000°C, slow cool to RT) explains the heterogeneous δ, γ′, γ″ phase distribution observed top-to-bottom in EBM builds; provides the rationale for the in-process ageing that EBM uniquely provides.

MicrostructureProcess ParametersEBMin718
Validates in additive.tools ▸
  • EBM IN718 as-built phase distribution
  • EBM in-process ageing effect explanation
important

Reducing porosity in AlSi10Mg parts processed by selective laser melting

Aboulkhair NT, Everitt NM, Ashcroft I, Tuck C · Additive Manufacturing · 2014

DOI ↗

Key finding: Process parameter study achieving 99.8% density in LPBF AlSi10Mg; identifies scan speed and hatch spacing as primary porosity drivers, and demonstrates that a pre-sintering scan pass before the main scan significantly reduces keyhole pore density.

Defects & PorosityProcess ParametersLPBFalsi10mg
Validates in additive.tools ▸
  • AlSi10Mg LPBF achievable density (>99.5%)
  • AlSi10Mg LPBF pre-sinter scan strategy effect on porosity
important

High and low-cycle-fatigue properties of 17–4 PH manufactured via selective laser melting in as-built, machined and hipped conditions

Concli F, Fraccaroli L, Nalli F, Cortese L · Progress in Additive Manufacturing · 2022

DOI ↗

Key finding: LPBF 17-4PH high/low-cycle fatigue characterisation across as-built, machined, and HIPped conditions; machining alone raises fatigue strength by ~50% over as-built; HIP + machining combined recovers wrought-equivalent fatigue performance.

Mechanical PropertiesDefects & PorosityPost-ProcessingSurface FinishingLPBF17-4ph
Validates in additive.tools ▸
  • 17-4PH LPBF fatigue knockdown factors (as-built vs. machined vs. HIP)
important🔓 Open access

Pore elimination mechanisms during 3D printing of metals

Hojjatzadeh SMH, Parab ND, Yan W, Guo Q et al. · Nature Communications · 2019

DOI ↗

Key finding: High-speed synchrotron X-ray imaging reveals that thermocapillary (Marangoni) flow driven by the laser-induced temperature gradient is the dominant in-situ pore elimination mechanism in LPBF — pores can be expelled or dissolved within milliseconds without external intervention.

Defects & PorosityIn-Process MonitoringSimulationLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • LPBF in-situ pore dynamics — Marangoni-driven elimination
important🔓 Open access

Review on design and structural optimisation in additive manufacturing: Towards next-generation lightweight structures

Plocher J, Panesar A · Materials & Design · 2019

DOI ↗

Key finding: Joint review of DfAM and structural optimisation establishing the framework linking topology optimisation, lattice/cellular design, and AM process constraints; argues for a holistic design loop combining TO, lattice substitution, and AM constraint integration rather than treating them in isolation.

DfAMLattice StructuresSimulationLPBFEBMSLSFDM
Validates in additive.tools ▸
  • DfAM design rules and topology-optimisation guidance
  • lattice-density tool methodology
important

Machine learning–aided real-time detection of keyhole pore generation in laser powder bed fusion

Ren Z, Gao L, Clark SJ, Fezzaa K et al. · Science · 2023

DOI ↗

Key finding: Synchronised high-speed X-ray and thermal imaging on Ti-6Al-4V LPBF reveals two keyhole oscillation modes; trained ML classifier detects keyhole pore generation events with sub-millisecond temporal resolution and near-perfect prediction rate using only thermal-imaging features available on commercial machines.

In-Process MonitoringDefects & PorosityQualificationLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • ndt-selector in-process monitoring justification
  • Keyhole pore in-situ detection feasibility
important

As-Fabricated and Heat-Treated Microstructures of the Ti-6Al-4V Alloy Processed by Selective Laser Melting

Vilaro T, Colin C, Bartout JD · Metallurgical and Materials Transactions A · 2011

DOI ↗

Key finding: As-built SLM Ti-6Al-4V exhibits a fully martensitic α' structure with high hardness but limited ductility; post-build heat treatment at 800 °C decomposes martensite into equilibrium α+β, recovering tensile elongation from ~3% to ~8% while retaining acceptable strength — establishing the standard HT window for AM Ti-6Al-4V.

MicrostructurePost-ProcessingLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • heat-treatment-advisor Ti-6Al-4V protocol
  • Ti-6Al-4V material KB — effect of HT on ductility
important

Current and future trends in topology optimization for additive manufacturing

Liu J, Gaynor AT, Chen S, Kang Z et al. · Structural and Multidisciplinary Optimization · 2018

DOI ↗

Key finding: Systematic review of topology optimisation methods adapted for AM constraints — overhang, minimum feature size, support minimisation, and multi-material printing; argues that AM-specific TO must simultaneously optimise topology, orientation, and support structure as a coupled problem.

DfAMSimulationLPBFEBMFDM
Validates in additive.tools ▸
  • orientation-advisor tool rationale
  • DfAM learn article — topology optimisation section
important

Comparing environmental impacts of additive manufacturing vs traditional machining via life-cycle assessment

Faludi J, Bayley C, Bhatt S, Iribarne M · Rapid Prototyping Journal · 2015

DOI ↗

Key finding: LCA comparison showing that AM (FDM and SLS) has lower environmental impact than CNC machining primarily when machine utilisation is high — idle energy consumption is the dominant factor for both AM and machining, making equipment utilisation rate a stronger lever than the manufacturing process choice itself.

SustainabilityFDMSLS
Validates in additive.tools ▸
  • carbon-footprint tool methodology
  • sustainability learn article
important

Effects of the microstructure and porosity on properties of Ti-6Al-4V ELI alloy fabricated by electron beam melting (EBM)

Galarraga H, Lados DA, Dehoff RR, Kirka MM et al. · Additive Manufacturing · 2016

DOI ↗

Key finding: EBM Ti-6Al-4V ELI exhibits a coarse lamellar α+β microstructure (due to slow cooling and in-situ annealing) with residual porosity of 0.01–0.1%; static mechanical properties meet ASTM F3001 (implant-grade) without post-HIP, but fatigue life is sensitive to pore size and location — HIP is recommended for fatigue-critical applications.

MicrostructureDefects & PorosityMechanical PropertiesEBMti-6al-4v-gr5
Validates in additive.tools ▸
  • Ti-6Al-4V material KB — EBM vs LPBF property comparison
  • hip-cycle-designer tool justification for EBM
  • fatigue-life-estimator EBM Ti-6Al-4V data
important

Improvement of fatigue resistance and ductility of TiAl6V4 processed by selective laser melting

Kasperovich G, Hausmann J · Journal of Materials Processing Technology · 2015

DOI ↗

Key finding: LPBF Ti-6Al-4V fatigue strength in as-built condition is severely limited by sub-surface porosity (~0.3 mm) and surface roughness (Ra ~10 µm); HIP at 920 °C / 1000 bar closes pores and, combined with surface machining, recovers fatigue strength to within 10% of wrought — establishing the HIP + machining post-processing route as standard for AM Ti-6Al-4V fatigue-critical parts.

Mechanical PropertiesPost-ProcessingDefects & PorosityLPBFti-6al-4v-gr5
Validates in additive.tools ▸
  • fatigue-life-estimator tool — Ti-6Al-4V LPBF data
  • hip-cycle-designer tool
  • ndt-selector — surface condition impact on fatigue
important

A review of melt extrusion additive manufacturing processes: I. Process design and modeling

Turner BN, Strong R, Gold SA · Rapid Prototyping Journal · 2014

DOI ↗

Key finding: Comprehensive review of FDM/FFF process modelling covering thermal analysis, bond formation between adjacent beads, residual stress and warping, and process–structure–property relationships for ABS, PLA, and PEEK.

Process ParametersDfAMFDM
Validates in additive.tools ▸
  • FDM process documentation
  • fdm-extrusion-width tool methodology
important

Wire-feed additive manufacturing of metal components: technologies, developments and future interests

Ding D, Pan Z, Cuiuri D, Li H · International Journal of Advanced Manufacturing Technology · 2015

DOI ↗

Key finding: Reviews wire-feed AM technologies (WAAM) covering process variants, path-planning strategies, and inter-pass rolling for residual stress control — provides comparative framework for plasma, MIG, and laser wire-feed.

Process ParametersDfAMWAAMDED-LASER
Validates in additive.tools ▸
  • waam-deposition tool path planning documentation
important

Additive manufacturing technologies: State of the art and trends

Gardan J · International Journal of Production Research · 2016

DOI ↗

Key finding: Review of AM process families covering LPBF, EBM, SLS, FDM, SLA, and binder jetting — classifies processes by energy source and feedstock, summarises industrial readiness, and identifies qualification as the key barrier to aerospace adoption.

Process ParametersQualificationLPBFSLSFDMSLAEBMBINDER-JETTING
Validates in additive.tools ▸
  • process-selector tool documentation
important

Effect of particle size distribution on powder packing and sintering in binder jetting additive manufacturing of metals

Bai Y, Wagner G, Williams CB · Journal of Manufacturing Science and Engineering · 2017

DOI ↗

Key finding: Shows that bimodal powder size distributions increase packing density and reduce sintering shrinkage variability in binder jetting — demonstrating that fine/coarse blending at 30/70 ratio by volume yields highest green density and most predictable final dimensions.

Process ParametersFeedstockBINDER-JETTING
Validates in additive.tools ▸
  • binder jetting shrinkage-compensation tool
  • powder-characterisation tool — binder jetting powder guidance

Supplementary Papers (3)

supplementary

Selective laser sintering of a cobalt-chromium alloy for prosthodontic applications

Santos EC, Osakada K, Shiomi M, Kitamura Y et al. · Proceedings of the Institution of Mechanical Engineers, Part C · 2012

DOI ↗

Key finding: LPBF CoCrMo achieves >99.5% relative density at optimal VED; as-built hardness of 40–44 HRC is acceptable for dental frameworks; demonstrated dimensional accuracy ±0.05 mm on crowns.

Process ParametersMechanical PropertiesLPBFcochrmo
supplementary

Laser aided direct metal deposition of Inconel 625 superalloy: Microstructural evolution and thermal stability

Dinda GP, Dasgupta AK, Mazumder J · Materials Science and Engineering A · 2009

DOI ↗

Key finding: DED-laser IN625 deposits show columnar dendrites aligned with build direction; post-HT at 1000°C triggers recrystallisation and δ-phase dissolution, improving toughness at the cost of moderate strength reduction.

MicrostructureProcess ParametersDED-LASERin625
supplementary

A round robin study on the laser sintering of polyamide 11

Stichel T, Frick T, Laumer T, Tenner F et al. · Rapid Prototyping Journal · 2017

DOI ↗

Key finding: PA11 SLS inter-laboratory round robin shows inherent property scatter of ±8% in UTS and ±15% in elongation across facilities using identical parameters — demonstrating that PA11 SLS requires robust process control to achieve consistent ductility.

Process ParametersMechanical PropertiesSLSpa11
Validates in additive.tools ▸
  • PA11 SLS elongation variability characterisation

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