Value Engineering with AM

Value engineering additive manufacturing isn’t about “printing parts because it’s new.” In defense and aerospace programs, it’s a disciplined approach to reducing total system cost and schedule risk while meeting performance and compliance requirements. Additive manufacturing (AM)—especially powder bed fusion (PBF) processes such as DMLS/SLM—creates new levers for value engineering: part consolidation, lightweighting, reduced machining operations, and more predictable supply chains for low-volume, high-mix hardware.

This article frames AM as an engineering and procurement tool. It walks through how successful regulated manufacturers identify cost drivers, redesign for consolidation and performance, reduce machining and inspection burden, and navigate qualification/traceability to deliver procurement-ready parts complete with certificates of conformance (CoC), material traceability, and inspection data.

Identifying cost drivers

Value engineering starts with a clear baseline. Before proposing AM, capture the current cost and lead-time drivers in a way that both engineering and procurement can validate. For aerospace/defense components, the biggest drivers typically fall into five buckets:

1) Part count and touch labor. Every subcomponent adds purchasing effort, incoming inspection, kitting, WIP tracking, and assembly operations (including torque, staking, locking features, or weld/braze operations). Touch labor is frequently the hidden cost that AM consolidation removes.

2) Machining time and complexity. Long 5-axis machining cycles, deep pocketing, EDM, thin-wall workholding challenges, and high scrap rates are major contributors to cost and schedule variability. Capture spindle hours, setup counts, tool consumption, and scrap/rework history.

3) Material buy-to-fly ratio. For titanium and nickel alloys, buy-to-fly can dominate cost. If you start with large billet/forging and remove 80–95% of material, you pay for expensive feedstock that becomes chips. PBF can reduce buy-to-fly dramatically by near-net shaping.

4) Quality and compliance overhead. In regulated programs (AS9100 environments, ITAR, DFARS), the “cost of paperwork” is real: lot traceability, traveler control, inspection planning, CMM time, NDE (e.g., fluorescent penetrant inspection), and certification pack compilation. When the process is not stable, quality costs escalate fast.

5) Supply chain fragility. Long-lead castings/forgings, tooling dependencies, and single-source processes can create schedule risk. AM can reduce tooling dependence, but only if the AM workflow is qualified and repeatable.

Practical approach: run a value engineering screen on candidate parts using a short checklist:

• Is the assembly >3 parts or does it require welding/brazing/fasteners?
• Are there long internal passages, manifolds, or complex geometries driving machining/EDM?
• Is buy-to-fly high due to billet or forging removal?
• Is production volume low-to-medium (where tooling amortization hurts)?
• Are there chronic schedule slips due to suppliers or rework?
• Can inspection be defined clearly (CMM, CT scanning, NDE) with acceptance criteria?

If the part scores high, move to a structured AM feasibility assessment that includes (a) load paths and environments, (b) alloy and process selection (e.g., Ti-6Al-4V on PBF), (c) post-processing route (stress relief, HIP, machining), and (d) inspection/qualification plan.

Consolidation

Part consolidation is one of the most reliable value engineering wins for additive manufacturing—especially for fluid manifolds, brackets with multiple interfaces, housings with integrated ducts, and assemblies that exist primarily because manufacturing constraints forced the design to be “buildable” by conventional methods.

What consolidation really saves:

• Assembly labor and fixtures. Fewer parts means fewer torque steps, fewer fasteners, fewer weld/braze operations, and fewer assembly fixtures.
• Leak paths and failure modes. Eliminating joints reduces potential leakage, fretting, and crack initiation sites—often improving reliability while lowering QA burden.
• Procurement transactions. Fewer line items, fewer suppliers, fewer incoming inspections, fewer CoCs to chase.
• Dimensional stack-up risk. Replacing multiple components with one part reduces tolerance stack-up and rework.

How to execute consolidation in a regulated workflow (step-by-step):

1) Map the assembly function. Identify datum structures, interfaces, sealing surfaces, and critical-to-quality (CTQ) features. For fluid components, map pressure boundaries, flow rates, and required surface finishes.

2) Redesign for AM (DfAM), not “print the CAD.” Incorporate self-supporting angles where possible, plan for support removal access, and design near-net machining allowances on mating faces, bores, and sealing features. Consider adding datum pads and fixturing bosses explicitly for post-processing and CMM alignment.

3) Choose a build strategy that preserves interfaces. Orientation can reduce supports on critical surfaces and control distortion. A good build plan also considers powder evacuation for internal features and the need for post-build access.

4) Define the post-processing route. For many flight/mission hardware alloys produced by PBF, a typical route is: stress relief → support removal → HIP (or PM-HIP where applicable) → heat treatment → CNC machining (often 5-axis) → surface finishing → inspection and NDE. The exact sequence depends on alloy and specification requirements.

5) Update the technical data package (TDP). Consolidation changes the drawing, inspection plan, and acceptance criteria. Engineers and quality teams should align early on how characteristics will be verified (CMM, CT scanning for internal features, NDE for surface-breaking defects, etc.).

Common consolidation pitfall: combining parts without rethinking inspection. If consolidated geometry creates hidden internal features that cannot be verified, you can trade assembly savings for costly CT scanning or ambiguous acceptance criteria. The best consolidations include a verification plan from day one.

Lightweighting

Lightweighting is often the headline benefit of AM, but it only creates value when it maps to program-level priorities: increased payload, extended range, improved acceleration, reduced fuel burn, or lower actuation loads. In many aerospace systems, weight reductions also cascade into smaller fasteners, reduced bracket loads, and simplified structures.

AM-ready lightweighting methods that survive real production:

• Topology optimization with manufacturing constraints. Use load cases and boundary conditions that match the real environment (including thermal and vibration if applicable). Constrain minimum member thicknesses, overhang angles, and inspection access so the optimized design is buildable and inspectable.

• Lattice and cellular structures (selectively). Lattices can reduce weight and tune stiffness, but they complicate inspection and surface treatment. Use them where performance gain is clear and where you have a validated approach to powder removal and verification (often via CT scanning on first articles and then a risk-based sampling plan).

• Hollowing and internal ribs. Internal ribbing can increase stiffness-to-weight. Design for powder evacuation ports and plan how those ports will be closed (if required) without introducing new qualification issues.

• Consolidate and lighten simultaneously. The best outcomes come from combining assembly consolidation with weight reduction—removing both parts and mass.

Engineering reality check: Lightweighting often increases geometric complexity, which can increase post-processing and inspection burden. The value engineering question is: does the weight reduction reduce system-level costs or risks enough to justify added complexity? Programs with tight weight budgets (aircraft, UAVs, space systems) often say yes; ground systems may prioritize consolidation and lead time instead.

Reducing machining ops

In regulated manufacturing, machining is rarely “just machining.” It is setup planning, workholding design, tool qualification, in-process inspection, and rework risk. Additive manufacturing can reduce machining operations—but only when the design and process planning are aligned to produce stable, machinable near-net shapes.

Where AM reduces machining time most effectively:

• Deep internal features that would require EDM or multi-part assemblies.
• Complex 5-axis contours that can be built near-net with a small stock allowance.
• Multi-setup parts where AM can integrate features and reduce re-fixturing.
• High buy-to-fly billet parts where roughing dominates.

Practical near-net machining strategy:

1) Add machining stock intentionally. For sealing faces, bores, bearing seats, threaded holes, and critical datums, include defined allowances (e.g., a controlled extra wall thickness) so you can clean up surfaces after HIP/heat treat. Avoid “as-printed” critical surfaces unless your process capability is proven and accepted.

2) Design for fixturing and datum control. AM enables organic shapes, but CNC machining still needs stable datums. Incorporate sacrificial tabs, datum pads, or standardized fixturing features that will be removed after finishing. This reduces setup time and improves repeatability across lots.

3) Use HIP/heat treat to stabilize material before final machining. HIP can reduce internal porosity and improve fatigue performance for many PBF alloys, while heat treatment sets microstructure and mechanical properties. Machining after these steps reduces distortion surprises in final dimensions.

4) Choose the right inspection sequence. Don’t wait until the end to discover distortion. Build in intermediate checks—CMM after rough machining, for example—so rework is contained. For internal channels, consider CT scanning during qualification and on a defined sampling plan thereafter.

5) Treat surface finish as a design requirement. PBF surface roughness can drive fatigue and flow losses. For flow paths or fatigue-critical surfaces, specify finishing methods (machining, abrasive flow machining, shot peening where allowed, or other validated finishing processes) and ensure the finishing route is compatible with downstream inspections and cleanliness requirements.

PM-HIP note: For certain materials and geometries, PM-HIP (powder metallurgy with hot isostatic pressing) can be used to produce near-net shapes with high density and good mechanical properties. It is not a geometric free-for-all like PBF, but it can be a strong value engineering option when you want reduced machining and excellent material quality with a stable, scalable route.

Qualification impacts

The fastest way to derail a value engineering AM initiative is to ignore qualification and compliance impacts until late in the program. In defense and aerospace, the economics are inseparable from the regulated workflow: if your part cannot be accepted under the program’s quality system, you do not have savings—you have schedule risk.

Key qualification considerations for AM in AS9100/regulated environments:

• Process qualification vs. part qualification. You typically need both: a validated AM process window (machine, parameters, material, build strategy, post-processing) and part-specific first article acceptance. Changing machines, parameter sets, or post-processing steps can trigger re-qualification.

• Material traceability and CoC. Maintain heat/lot traceability for powder, record powder reuse rules, and control storage/handling. The deliverable package should include CoCs for raw material, HIP/heat treat, and any special processes, plus a complete traveler history.

• Special processes and NADCAP interfaces. If your supply chain uses NADCAP-accredited special processes (heat treat, NDT, chemical processing), ensure the AM-to-post-processing handoff is defined: what condition is the part delivered in, what surfaces are allowed to be processed, and what inspections occur before/after.

• NDE and internal feature verification. AM parts often require more thoughtful NDE planning. CT scanning is powerful for internal geometries, but it must be planned: resolution capability, acceptance criteria, data retention, and sampling frequency. Surface-breaking defect inspection (e.g., penetrant) may be required depending on alloy and specification.

• Dimensional verification strategy. Complex geometries require careful datum schemes. Use CMM for critical interfaces and develop a measurement plan that is repeatable across lots, not just for the first article.

A practical step-by-step qualification workflow (what good looks like):

1) RFQ alignment. The buyer and supplier align on scope: alloy, AM process (PBF/DMLS/SLM), post-processing (HIP, heat treat), machining, finishing, and the documentation package required (ITAR handling, DFARS clauses, CoC content, inspection reports). Define what constitutes a “frozen” process.

2) DfAM and drawing/control plan update. Engineering updates the model and drawing with AM-specific callouts where appropriate (e.g., surfaces to be machined, allowable support contact zones, internal features verification approach). Quality and manufacturing define the control plan and key characteristics.

3) First article build with full process records. The supplier produces the first article using controlled powder lots, documented machine parameters, and defined post-processing. Build records and traveler data are captured from start to finish.

4) Post-processing with traceable certification. HIP and heat treat are performed per the required specification with documented cycles and lot traceability. If outsourced, ensure certificate packages include furnace charts or required records per contract.

5) Machining and finishing under controlled datums. Critical interfaces are machined using defined fixturing and inspection checkpoints. Any rework is documented and evaluated against acceptance criteria.

6) Inspection package and acceptance. Deliver a complete pack: dimensional reports (CMM), NDE results, CT scanning results if required, material and process CoCs, and any first article inspection report (FAIR) expectations aligned to the customer’s AS9102 practices.

7) Production readiness and change control. Establish what changes require customer notification/approval: powder supplier changes, parameter set changes, machine changes, HIP vendor changes, and geometry revisions. A stable change-control plan protects both cost and schedule.

ITAR and DFARS realities: If the work is ITAR-controlled, ensure data handling, access control, and manufacturing location requirements are explicit in the RFQ and purchase order. For DFARS, procurement teams should confirm requirements related to specialty metals and sourcing flow-downs where applicable. These constraints can affect supplier selection and should be treated as part of the value engineering equation—not an afterthought.

ROI framing

AM ROI is often misframed as “piece price vs. piece price.” In defense and aerospace, the real comparison is total cost of delivered, accepted hardware—including schedule risk, quality risk, and program-level impacts. A procurement-ready ROI model typically includes:

1) Recurring unit economics. Compare the full route: AM build + post-processing (stress relief, HIP, heat treat) + CNC machining + finishing + inspection + documentation pack. Include yield assumptions and realistic inspection time.

2) Non-recurring engineering (NRE). DfAM redesign, simulation, build trials, qualification builds, fixture development, and inspection programming (CMM/CT scanning). For some programs, NRE is the gating factor; for others, it is justified by consolidation and long-term sustainment.

3) Schedule value. Quantify lead-time reduction and its downstream impact: fewer line stoppages, fewer expedite fees, reduced buffer inventory, and faster qualification cycles. In many programs, schedule certainty is worth more than a small piece-price delta.

4) Risk reduction and reliability. Consolidation can reduce failure modes (leaks, joint fatigue, fastener loosening). If failures are expensive (field service, mission impact), reliability improvements can justify AM even when unit cost is similar.

5) Sustainment and obsolescence. AM can support low-volume spares without maintaining tooling. For legacy platforms with diminishing supply chains, this is often the strongest ROI driver.

A simple, procurement-friendly ROI narrative template:

• Baseline: current assembly has X parts, Y operations, Z-week lead time, and recurring quality escapes/rework.
• AM change: consolidate to 1–2 parts via PBF with HIP and finish machining; eliminate weld/braze and reduce setups from A to B.
• Verified outcomes: demonstrate dimensional capability with CMM, internal feature verification via CT scanning during qualification, and stable material properties via documented HIP/heat treat plus CoCs.
• Financials: show recurring cost reduction (or cost neutrality with schedule gain), plus quantified reductions in touch labor, scrap risk, and supplier count.
• Compliance: confirm ITAR/DFARS flow-downs, AS9100-controlled traveler, and certification pack completeness.

Decision-makers tend to approve AM value engineering when the proposal answers three questions clearly: Will it work? (technical), Will it be accepted? (qualification/compliance), and Will it reduce total cost and risk? (ROI). When you frame AM through those lenses, it becomes a practical manufacturing strategy—not a science project.

Bottom line: The most successful value engineering additive manufacturing efforts are cross-functional. Engineering designs for buildability and inspection; manufacturing defines stable post-processing and machining routes; quality and procurement align documentation and flow-downs early. Done correctly, AM reduces parts and operations while improving schedule certainty and system performance.