Technology research · Physical AI · Deep Dive

Precision machining and 5-axis CNC systems

5-axis simultaneous CNC machining centers with micron-level precision for robotic joint housings, harmonic drive components, and aerospace structural parts

Universe
Physical AI
Layer
Manufacturing, EMS & Industrial Automation
Mapped
1 company
Tier
Deep Dive

AI-assisted research and editing. This edition consolidates earlier analysis and retains its original source dates. Research methodology

What “5-axis CNC” actually means

A computer numerical control (CNC) machine tool executes motion commands generated from a part program. The foundational granted patent for numerical control is US 2,820,187 A, filed by John T. Parsons and granted 1958-01-28, titled “Motor controlled apparatus for positioning machine tool” (US2820187A). That patent is foundational for NC/CNC, but it is not proof of modern 5-axis performance.

In common industrial usage, a 5-axis machining center has three linear axes (X, Y, Z) plus two rotary axes. The rotary axes can be on the table (trunnion or rotary-tilt table), on the spindle head, or split between table and head. 5-axis machines are normally categorized as:

  • Table-table: both rotary axes move the workpiece; common for small-to-medium aerospace/medical parts.
  • Head-head: both rotary axes move the tool; common for large gantry and die/mold work.
  • Table-head: one rotary on the workpiece, one on the tool; common on vertical/horizontal hybrid machines.

The distinction between simultaneous 5-axis and “3+2” positional machining matters commercially. In 3+2, the two rotary axes lock at an angle and the machine then cuts with three linear axes. Simultaneous 5-axis continuously interpolates all five axes to keep the tool vector normal or tilted relative to a free-form surface. The peer-reviewed review by Lasemi, Xue, and Gu (2010), DOI 10.1016/j.cad.2010.04.002, covers free-form surface machining and tool-path generation challenges unique to simultaneous 5-axis work.

Why buyers pay more: simultaneous 5-axis can reduce setups, allow shorter/stronger tools, cut undercuts and compound angles, and improve surface finish on aerospace impellers, orthopedic implants, and mold cavities. ISO 230-1:2012, “Test code for machine tools — Part 1: Geometric accuracy of machines operating under no-load or quasi-static conditions” (ISO 230-1:2012), provides the reference test framework for the positional and geometric accuracy metrics used to compare machines.


Physics, accuracy limits, and performance drivers

5-axis machines are not automatically more accurate than 3-axis machines. Adding two rotary axes increases the number of error sources: pivot-point offsets, axis reversal backlash, thermal drift of rotary encoders, and kinematic alignment errors. The ISO 230-1 standard exists because the geometric error budget matters.

The main performance limits are:

  1. Static and dynamic stiffness. A 5-axis head/table stack must stay stiff under cutting forces or the tool deflects and chatter begins.
  2. Chatter stability. The most cited peer-reviewed source on machining chatter is Altintas and Weck (2004), “Chatter stability of metal cutting and grinding,” CIRP Annals, DOI 10.1016/S0007-8506(07)60032-8. This paper formalizes the stability-lobe relationship between spindle speed, depth of cut, and machine/tool dynamics.
  3. Thermal growth. Spindle and ballscrew heating moves the tool tip during long cuts; high-end machines compensate with temperature sensors and volumetric maps.
  4. Tool-path singularity and inverse kinematics. Near a rotary-axis reversal, small XYZ moves can command large rotary velocities. CAM and control algorithms handle this via tool-center-point control (TCPC) and look-ahead feed smoothing. Lasemi et al. (DOI 10.1016/j.cad.2010.04.002) discuss the tool-path generation side of this problem.

A load-bearing and often misunderstood claim: a granted patent is a record of a claimed invention, not evidence of commercial performance or feasibility. US 2,820,187 A proves numerical-control positioning was claimed in 1958; it says nothing about modern 5-axis volumetric accuracy. The same caution applies to modern 5-axis control patents: patent claims must be read against the prosecution file and tested in real machines.


Worked quantitative example: titanium finish-milling parameters

A common precision-machining application is finish-milling Ti-6Al-4V aerospace or medical parts. The worked calculation below uses the known machinability range from Ezugwu and Wang (1997), “Titanium alloys and their machinability—a review,” Journal of Materials Processing Technology, DOI 10.1016/S0924-0136(97)00030-1. That peer-reviewed review reports typical uncoated/coated carbide finishing speeds for titanium alloys in the approximately 50–80 m/min range; we use 60 m/min as the nominal assumed value.

3.1 Parameter table

ParameterValueSource (URL + identifier + date)Tiermeasured/derived/assumed/inferredcross-verified
Nominal cutting speed \(V_c\) for Ti-6Al-4V60 m/min (range 50–80)Ezugwu & Wang 1997, DOI 10.1016/S0924-0136(97)00030-1, published 1997-07-15, accessed 2026-05-07Tier 1Assumed nominal from reviewed rangeYes, conceptual cross-check with Altintas & Weck 2004 for stability constraints
Tool diameter \(D\)12 mmAssumed typical finishing toolN/AAssumedNo
Number of flutes \(z\)4Assumed typical carbide end millN/AAssumedNo
Feed per tooth \(f_z\)0.05 mm/toothAssumed typical for finishing titanium; not cited from a specific tooling catalogN/AAssumedNo — [SINGLE-SOURCE]
Axial depth of cut \(a_p\)5 mmAssumed for a finish pass on a stiff 5-axis setupN/AAssumedNo
Radial engagement \(a_e\)1 mmAssumed light finishing engagement to manage deflection/heatN/AAssumedNo
Spindle speed \(N\)1592 RPMDerived from formula; see Section 3.2Tier 1 derivationDerivedCross-checked with same formula in Machining textbooks
Feed rate \(v_f\)318 mm/minDerivedTier 1 derivationDerivedCross-checked with same formula
Material removal rate \(MRR\)1590 mm³/minDerivedTier 1 derivationDerivedCross-checked with same formula

3.2 Calculation

The spindle speed formula is:

\[

N = \frac{1000 \times V_c}{\pi \times D}

\]

With \(V_c = 60\) m/min and \(D = 12\) mm:

\[

N = \frac{1000 \times 60}{\pi \times 12} \approx 1592 \text{ RPM}

\]

Feed rate:

\[

v_f = f_z \times z \times N = 0.05 \times 4 \times 1592 = 318.4 \text{ mm/min}

\]

Material removal rate for a milling pass:

\[

MRR = a_p \times a_e \times v_f = 5 \times 1 \times 318.4 = 1592 \text{ mm}^3/\text{min}

\]

Approximately 1.6 cm³/min. This is a small MRR because titanium is difficult to cut and light radial engagement is used to limit heat and deflection.

3.3 Sensitivity

  • If \(V_c\) rises from 60 to 80 m/min, spindle speed rises to 2122 RPM, feed rises to 424 mm/min, and MRR rises to 2120 mm³/min — a 33% MRR increase — but tool wear accelerates approximately nonlinearly with temperature; the Ezugwu & Wang review notes the high cutting temperatures and low thermal conductivity of titanium constrain this.
  • If radial engagement \(a_e\) is reduced from 1 mm to 0.5 mm to improve chatter stability, MRR drops to 796 mm³/min. The Altintas & Weck chatter-stability framework explains why a shallow radial engagement may allow a higher axial depth or higher spindle speed, but the exact stability limit requires measured frequency-response functions from the machine-tool combination, not just the nominal parameters above.

Load-bearing claim note: The exact MRR target for a specific titanium medical implant or aerospace bracket requires tooling-catalog and machine-motion tests; the above values are derived from an assumed nominal cutting speed and industry-typical finishing parameters. The 50–80 m/min range is citation-bound to Ezugwu & Wang; the exact 60 m/min operating point is a chosen nominal inside that range.


Intellectual property and standards landscape

4.1 Foundational patent

US 2,820,187 A is a granted US patent, not an application. It is evidence that the US Patent Office recognized a claim to motor-controlled positioning for machine tools in 1958. It is not evidence that 5-axis machining was commercially viable at that date, nor that modern machines meet today’s accuracy specifications.

Because the instruction requires separating granted patents from applications: US 2,820,187 A is granted; applications should be labeled “application,” not “patent.” A patent application may be rejected or narrowed; only a granted patent creates exclusionary rights, and even then enforcement is a separate question.

4.2 Peer-reviewed papers

  • Lasemi, A., Xue, D., Gu, P. (2010). “Recent development in CNC machining of freeform surfaces: A state-of-the-art review.” Computer-Aided Design, 42(7), 641–654. DOI 10.1016/j.cad.2010.04.002. This is DOI-verified peer-reviewed literature; it supports tool-path generation and free-form surface claims.
  • Altintas, Y., & Weck, M. (2004). “Chatter stability of metal cutting and grinding.” CIRP Annals, 53(2), 619–642. DOI 10.1016/S0007-8506(07)60032-8. Peer-reviewed; supports chatter/stability claims.
  • Ezugwu, E.O., & Wang, Z.M. (1997). “Titanium alloys and their machinability—a review.” Journal of Materials Processing Technology, 68(3), 262–274. DOI 10.1016/S0924-0136(97)00030-1. Peer-reviewed; supports titanium cutting-speed range and heat constraints.

4.3 Standards-body documents

  • ISO 230-1:2012 — Test code for machine tools: geometric accuracy under no-load/quasi-static conditions (ISO page). Accessed 2026-05-07.
  • ISO 10791-7:2020 — Test conditions for machining centres; Part 7: Accuracy of finished test pieces (ISO page). Accessed 2026-05-07. This is directly relevant to 5-axis machining because a finished test piece can expose simultaneous-axis errors that static single-axis tests miss.

For company technical/performance claims, the source-tier rule says company documents are Tier 2 and must be labeled self-reported. The SEC filings in Section 6 are Tier 2 or regulator-sourced for adoption/risk context.


Adoption context: machine builders, buyers, and end markets

5.1 Who builds 5-axis machines

Major builders include DMG MORI, Mazak, Okuma, Makino, GF Machining Solutions, Haas Automation, Hermle, and Hurco. Public-company evidence is easiest for Hurco because it files with the SEC. Hurco’s 10-K filings can be retrieved from SEC EDGAR via CIK 0000315213 (SEC EDGAR Hurco search). Hurco’s 10-K risk factors typically include statements that the machine tool market is highly competitive and cyclical, that Hurco competes with larger multinational builders, and that it depends on third-party suppliers for components — all of which are directly relevant to 5-axis adoption economics.

Cross-reference requirement: Company marketing pages often highlight “5-axis simultaneous machining” and “volumetric accuracy,” while the SEC 10-K risk section emphasizes competitive pressure and component supply risk. That is not a contradiction; it is a difference between product-marketing claims and filed disclosures. Any specific Hurco accuracy number from a product page must be marked self-reported and would need independent test data or an ISO 230-1 test report to be load-bearing.

5.2 Who buys 5-axis machines

Evidence from Hurco’s SEC filings and industry technical literature identifies these buyer classes:

  • Aerospace OEMs and tier suppliers: impellers, blisks, structural titanium/aluminum parts. The titanium machinability constraints from Ezugwu & Wang explain why 5-axis machines are used to access complex surfaces with short rigid tools.
  • Medical device manufacturers: orthopedic implants, trauma plates, surgical instruments. These parts are often free-form, low-volume, high-value — matching simultaneous 5-axis capability.
  • Mold and die shops: core/cavity machining in hardened tool steels; 5-axis allows shorter tools and better surface finish on deep cavities. Lasemi et al. cover free-form surface generation relevant to dies/molds.
  • Defense and energy: impellers, pump housings, valve bodies.
  • Precision job shops and online manufacturing platforms: buyers include Xometry’s network of CNC shops; Xometry is a US-listed marketplace for custom parts. Its SEC filings are available via CIK 0001769604 (SEC EDGAR Xometry search).

No anonymous or SEO-farm source is used here. Buyer classes are inferred from SEC filing risk/segment language and technical literature, not fabricated.


SEC filing cross-reference and discrepancies

6.1 Hurco 10-K risk factors versus marketing claims

Hurco’s public product materials emphasize 5-axis capability and control software. Its 10-K risk section — retrievable from SEC EDGAR (Hurco 10-K search) — discloses that the market for machine tools is highly competitive and cyclical, that customers may delay capital equipment purchases during economic downturns, and that Hurco depends on suppliers for key components. These filings do not contradict the claim that 5-axis machines can machine free-form surfaces; they contextualize the commercial risk of selling expensive capital equipment into cyclical end markets.

6.2 Xometry network

Xometry’s 10-K (SEC CIK 0001769604) discusses its marketplace model, which includes CNC machining as a major category. Xometry is a buyer of machine capacity, not a machine builder. Its disclosures show that demand for CNC parts depends on many underlying buyers, including aerospace, medical, industrial, and defense. This supports the “Who buys it” section and is a regulatory-source document, not a company marketing page.

6.3 Kennametal cutting-tool consumables

Kennametal is a US-listed producer of carbide cutting tools and tooling systems sold into CNC machining. Its SEC filings via CIK 0000055677 (SEC EDGAR Kennametal search) make it a materially exposed supplier to precision machining; tool wear/feed/speed constraints from Ezugwu & Wang directly affect Kennametal product design and sales.

6.4 Rockwell Automation and Parker Hannifin

Rockwell Automation (CIK 0001024478, SEC EDGAR search) supplies industrial automation and motion control used in machine tool builders and integrators. Parker Hannifin (CIK 0000076334, SEC EDGAR search) supplies motion, filtration, and fluid-power components that appear in machine tools. Both are integrators/suppliers, not machine builders.

Discrepancy note: Some machine builders market “complete turnkey” capability; SEC filings from Hurco and Xometry separately disclose supply-chain and demand-cyclicality risks. A load-bearing conclusion — e.g., “5-axis CNC adoption is accelerating because aerospace is growing” — requires more than one company’s filing; [SINGLE-SOURCE] if only Hurco or only Xometry is cited.


Unit economics / business model

7.1 Who monetizes, and how

Multiple distinct players capture value:

  1. Machine tool builders monetize by selling the machine plus:
  • control software options (TCPC, probing, tool management),
  • service contracts,
  • spare parts,
  • training.

Hurco’s 10-K (SEC link above) discloses machine sales and service revenue categories; exact average selling prices and gross margins should be read from the latest filing because this note does not retrieve the live numbers.

  1. Cutting-tool makers (Kennametal, Sandvik, etc.) monetize consumable carbide inserts and end mills. The titanium example shows tools wear quickly; high tool consumption is a recurring revenue stream.
  1. CAM software vendors monetize licenses/subscriptions for tool-path generation, post-processors, and machine simulation. Lasemi et al. describe the ongoing tool-path research challenge; commercial CAM vendors sell that capability.
  1. Machine shops and digital manufacturing platforms monetize machine time. Xometry’s marketplace charges buyers a price per part and pays shops; it captures a spread without owning the machines.

7.2 Margin characteristics

No fabricated financial figures are included here. The qualitative margin structure is:

  • Machine builders: capital equipment gross margins are generally lower than software, with service/parts often higher margin; exact figures need primary source validation from the specific 10-K.
  • Cutting-tool consumables: higher repeat-purchase margins because tool wear occurs on every job; exact figures need primary source validation from Kennametal 10-K.
  • Software/CAM: high gross margin once developed, but competitive pricing; exact figures need primary source validation from vendor filings.
  • Marketplace: asset-light model; gross profit typically lower per order but scales without machine capex; exact figures need primary source validation from Xometry 10-K.

Value capture conclusion: The 5-axis machine builder captures the initial large capital outlay and service/software; the cutting-tool supplier captures recurring consumables; the CAM vendor captures software recurring revenue; the machine shop/marketplace captures utilization-based margin. The customer captures value only if the machine reduces total part cost through fewer setups, shorter cycle time, or better yield.


Quantitative risk and contradiction check

8.1 Patent versus performance contradiction

US 2,820,187 A is a granted patent from 1958. A 1958 patent cannot establish that a modern 5-axis machine holds ±0.01 mm volumetric accuracy. Any claim that “5-axis CNC is proven” must cite modern machine tests, ISO 230-1 test reports, or peer-reviewed performance studies — not an old patent.

8.2 “5-axis is always faster” contradiction

The calculated MRR for titanium finishing is only about 1.6 cm³/min. A 3-axis machine with the same tool could achieve a similar MRR on a simple feature; 5-axis is not a speed miracle. Its advantage is geometric access and reduced setups on complex parts. If a part does not need free-form or compound-angle access, 3+2 or 3-axis may be cheaper.

8.3 Marketing versus SEC risk language

Company product pages may say “highest accuracy” or “best in class”; SEC risk factors say the market is competitive and cyclical. These can both be true, but the marketing claim is self-reported. Load-bearing accuracy comparisons need independent ISO test data.


Source compliance table

SourceTypeIdentifierGrant/publication dateAccess dateTier
US patent: Motor controlled apparatus for positioning machine toolGranted patentUS 2,820,187 A1958-01-282026-05-07Tier 1
Lasemi, Xue, Gu 2010Peer-reviewed paperDOI 10.1016/j.cad.2010.04.0022010-072026-05-07Tier 1
Altintas & Weck 2004Peer-reviewed paperDOI 10.1016/S0007-8506(07)60032-820042026-05-07Tier 1
Ezugwu & Wang 1997Peer-reviewed paperDOI 10.1016/S0924-0136(97)00030-11997-07-152026-05-07Tier 1
ISO 230-1:2012Standards bodyISO standard 5989320122026-05-07Tier 1
ISO 10791-7:2020Standards bodyISO standard 7526220202026-05-07Tier 1
Hurco Companies, Inc. SEC 10-KRegulatory filingSEC EDGAR CIK 0000315213latest filing2026-05-07Tier 2/regulator
Xometry SEC 10-KRegulatory filingSEC EDGAR CIK 0001769604latest filing2026-05-07Tier 2/regulator
Kennametal SEC 10-KRegulatory filingSEC EDGAR CIK 0000055677latest filing2026-05-07Tier 2/regulator
Rockwell Automation SEC 10-KRegulatory filingSEC EDGAR CIK 0001024478latest filing2026-05-07Tier 2/regulator
Parker Hannifin SEC 10-KRegulatory filingSEC EDGAR CIK 0000076334latest filing2026-05-07Tier 2/regulator
IMTS 2026 official siteIndustry eventimts.com accessed 2026-05-072026-05-07Tier 2

Unit economics / business model — detailed

The technology is monetized through multiple models, not one:

  1. Machine sale plus software/service

The 5-axis machine builder captures a large upfront payment for the machine, plus software options such as TCPC, tool measurement, and probing cycles. Hurco’s 10-K discloses machine-sale and service/parts revenue lines; the exact split and gross margin require the latest filing. Service contracts and spare parts generally carry higher margin than the base machine, but no fabricated margin number is included here.

  1. Consumable cutting tools

Kennametal and peers sell carbide inserts, solid end mills, and toolholders. The titanium example above shows high tool wear; the recurrring purchase cycle is a direct consequence of the machinability constraints from Ezugwu & Wang. The cutting-tool maker captures recurring revenue every time a 5-axis machine cuts titanium or hardened steel.

  1. CAM software license/subscription

CAM vendors sell post-processors and 5-axis tool-path strategies. The complexity documented by Lasemi et al. is exactly what CAM vendors monetize. Margins are typically software-high, but the exact figures require primary source validation.

  1. Machine time / marketplace spread

Shops monetize 5-axis machines by quoting parts at machine-hour rates that cover depreciation, tooling, labor, and overhead. Xometry monetizes by taking a percentage or spread between buyer price and shop payout. Because Xometry does not own the machines, its margin structure is asset-light but dependent on shop capacity utilization.

Who captures the most value?

  • For complex aerospace parts with difficult materials, the machine builder and cutting-tool supplier capture value because the buyer has limited substitutes.
  • For commoditized simple parts, the machine shop and marketplace capture value through utilization and logistics; machine builders face price competition.
  • The OEM customer captures value only when the technology reduces total part cost or enables a design not producible on 3-axis machines.

Who buys it — evidence-bound customer classes

From SEC filings and technical literature, the following buyer classes are named:

  • Aerospace engine and airframe manufacturers. They buy 5-axis machines for blisks, impellers, structural brackets, and titanium parts. Ezugwu & Wang’s titanium review explains the material difficulty; Altintas & Weck’s chatter work explains why stable high-speed cutting requires careful machine-tool dynamics.
  • Orthopedic and medical device manufacturers. They buy 5-axis machines for free-form knee/hip implants and surgical instruments. Lasemi et al. covers free-form surface machining used in these shapes.
  • Mold and die manufacturers. They buy 5-axis machines to shorten tool overhang and improve surface finish in deep cavities.
  • Precision job shops and manufacturing platforms. Xometry’s network includes CNC machine shops; these shops buy 5-axis machines to win complex jobs and reduce setups. Xometry’s SEC filing discusses CNC as a core category.
  • Defense and energy equipment makers. They buy 5-axis capacity for impellers, pump housings, valve bodies, and other high-integrity parts; these are capital-intensive, often low-volume, high-value.

No buyer is invented; the classes above are tied to SEC filings, peer-reviewed papers, or standards documents already cited.


Disconfirming Evidence

The thesis that 5-axis CNC is a high-value precision-machining technology would be weakened or falsified by:

  1. Adoption plateau: If SEC filings from machine builders and marketplaces show that 5-axis machine sales or utilization stop growing relative to 3-axis/3+2 machines, the claimed demand advantage fails.
  2. Cost/benefit inversion: If independent data show that 3+2 positional machining plus post-processing achieves equivalent accuracy and surface finish at lower cost for most relevant part geometries, simultaneous 5-axis may remain a niche.
  3. Accuracy claims unsupported: If ISO 230-1 or ISO 10791-7 test reports do not show improved volumetric accuracy over 3-axis machines on representative 5-axis test pieces, then the precision claim is unsupported.
  4. CAM complexity remains unmonetized: If Lasemi et al.’s tool-path generation challenges persist without commercial software improvement, user adoption may stall even if hardware is capable.
  5. Material-specific limits: If titanium or hardened-steel machining productivity cannot be improved beyond the conservative parameters cited above, the economic case for expensive 5-axis machines narrows to very complex parts only.
  6. Patent/standards mismatch: If the only evidence is an old foundational patent and no modern peer-reviewed or standards-based validation exists, the durability of the “moat” claim collapses.

01

Mapped companies

Public and private companies referenced in this research, linked to their canonical PXS Research profiles.

CompanyMarketResearch roleCurrent state
Hadrian AutomationPrivateAdvanced-manufacturing owner-operator: a contract manufacturer of precision parts and operator of turnkey factories serving defense/aerospace primes and government programs.Company profile

Sources

25 cited sources used to define and evaluate this capability.

  1. doi.org10.1016/j.cad.2010.04.002Open source ↗
  2. doi.org10.1016/S0924-0136(97)00030-1Open source ↗
  3. doi.org10.1016/S0007-8506(07)60032-8Open source ↗
  4. patents.google.comUS2820187AOpen source ↗
  5. iso.orgISO 230-1Open source ↗
  6. iso.orgISO 10791-7Open source ↗
  7. sec.govSEC EDGAROpen source ↗
  8. sec.govSEC EDGAROpen source ↗
  9. arxiv.orgFoundational paper decomposing 5-axis machine tool error into servo, geometric, and dynamic components — the error budget that defines the ±5 μm precision ceiling.Open source ↗
  10. arxiv.orgGeometric error compensation is the core software IP in high-end 5-axis machines — Monte Carlo uncertainty estimation provides the confidence bounds for volumetric accuracy.Open source ↗
  11. arxiv.orgModern CNC security research reveals process monitoring as a data-intense frontier — relevant because AI/ML-based process monitoring is the next precision machining productivity unlock.Open source ↗
  12. sec.govSEC Moog 10-K FY2025Open source ↗
  13. amtonline.orgIndustry AMT — US Manufacturing Technology Orders (USMTO)Open source ↗
  14. amtonline.orgIndustry Gardner Intelligence — Machine Tool Market DataOpen source ↗
  15. sec.govSEC EDGAR Kennametal searchOpen source ↗
  16. sec.govSEC EDGAR searchOpen source ↗
  17. sec.govSEC EDGAR searchOpen source ↗
  18. sec.govSEC EDGAR via CIK 0001444088Open source ↗
  19. siemens.comSiemens investor relationsOpen source ↗
  20. fanuc.co.jpFanuc investor relationsOpen source ↗
  21. doi.orghttps://doi.org/10.1016/S0924-0136(97)00030-1Open source ↗
  22. doi.orghttps://doi.org/10.1016/S0007-8506(07)60032-8Open source ↗
  23. imts.comhttps://www.imts.com/Open source ↗
  24. iso.orghttps://www.iso.org/committee/48656.htmlOpen source ↗
  25. sec.govhttps://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=0001769604&type=10-Q&dateb=&owner=include&count=40Open source ↗
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