Advanced Manufacturing Technology

Chapter 8
Micro-, Nano- and Surface Manufacturing

Bachelors Program in Mechnical Engineering
Advanced Manufacturing Technology   •   Bachelor

Micro-, Nano- and Surface Manufacturing

Introduction and Context

Manufacturing at the micro- and nanoscale extends conventional engineering into dimensions where material structure, interfaces, heat transfer, friction, adhesion, and statistical variation strongly influence performance. A component that appears geometrically simple at the millimetre scale may behave differently when its critical dimensions approach micrometres or nanometres. Surface manufacturing is equally important because many engineering failures—wear, corrosion, fatigue initiation, leakage, and excessive friction—originate at or near a surface.

Micro-, nano- and surface manufacturing therefore combine geometry generation with control of material structure and surface chemistry. Typical products include microfluidic chips, accelerometers, pressure sensors, optical components, hard-coated cutting tools, textured bearings, biomedical implants, and nano-enabled electronic devices.

Learning Objectives

After studying this chapter, the student should be able to:

  1. Explain the principles and scale effects of micromachining and nanomanufacturing.
  2. Compare subtractive, additive, lithographic, and replication-based processes.
  3. Describe major MEMS fabrication sequences and their design implications.
  4. Select suitable precision finishing and surface-engineering methods.
  5. Relate surface texture, coatings, and material properties to functional performance.
  6. Evaluate process capability, defects, safety, sustainability, and industrial applications.

1. Scale Effects in Advanced Manufacturing

The conventional manufacturing assumption that bulk material properties dominate becomes less reliable as feature size decreases. Several scale effects are important.

1.1 Surface-to-volume ratio

For a characteristic length L, surface area scales approximately with L² while volume scales with L³. Consequently, the surface-to-volume ratio varies approximately as 1/L. A smaller object has proportionally more material near a surface, so surface energy, adsorption, oxidation, and friction become more significant.

For a cube of side L:

S/V = 6/L

Here S is surface area and V is volume. The equation assumes an ideal cube and illustrates a scaling relationship rather than a universal geometry formula.

1.2 Forces and mechanisms

At the macroscale, weight and inertia may dominate. At the microscale, electrostatic, capillary, van der Waals, and adhesive forces can dominate. A liquid meniscus can cause two microstructures to stick together after drying, a phenomenon known as stiction. Friction is also affected by asperity population, contamination, oxide films, and the absence of conventional liquid lubrication.

1.3 Thermal and mechanical effects

Small structures often have short heat-conduction paths and low thermal mass. They can heat and cool rapidly, but local temperature gradients may cause distortion. Residual stress in thin films can produce bending or fracture. A simple beam model illustrates the sensitivity of stiffness to thickness. For a rectangular cantilever under Euler–Bernoulli assumptions,

k = 3EI/L3

where k is tip stiffness in N/m, E is Young’s modulus in Pa, I is the second moment of area in m⁴, and L is beam length in m. For a beam of width b and thickness h, I = bh³/12. The model assumes small deflection, linear elasticity, a slender beam, and a fixed support. Thus, thickness strongly affects stiffness because stiffness varies with h³.

1.4 Tolerances and variability

At small scales, a one-micrometre dimensional error may be a large fraction of the feature size. Process variation, grain structure, tool radius, vibration, contamination, and measurement uncertainty must therefore be treated as design variables. Statistical process control and designed experiments are often more valuable than simply increasing nominal machine accuracy.

2. Micromachining

Micromachining produces features typically ranging from several micrometres to a few hundred micrometres. It includes mechanical, thermal, chemical, electrochemical, and hybrid processes.

2.1 Mechanical micromachining

Micro-milling, micro-drilling, micro-turning, and micro-grinding use miniature tools. The tool diameter may be less than 1 mm, and tool runout may be comparable to the intended chip thickness. Important parameters include cutting speed, feed per tooth, axial and radial depth of cut, tool geometry, and minimum chip thickness.

The ideal cutting speed for a rotating tool is

vc = πDn

where v_c is cutting speed in m/min when D is tool diameter in m and n is rotational speed in revolutions per minute, provided the corresponding unit conversion is applied. If D is in millimetres and n is in revolutions per minute, v_c in m/min is v_c = πDn/1000.

At very small feeds, the tool may rub rather than shear because the undeformed chip thickness is below the minimum chip thickness. This causes ploughing, burr formation, heat generation, and poor surface finish. Tool wear and runout are especially damaging because a small change in tool edge geometry represents a substantial percentage of the feature size.

2.2 Micro-EDM

Micro-electrical discharge machining removes electrically conductive material through controlled spark discharges between an electrode and workpiece. A dielectric fluid separates the electrodes, and each pulse locally melts or vaporizes material. The process is independent of mechanical hardness, but it creates a recast layer and a heat-affected zone. Electrode wear, debris evacuation, pulse energy, and dimensional overcut require control.

2.3 Laser micromachining

Pulsed lasers can drill, cut, ablate, or selectively modify materials. Shorter pulses reduce heat diffusion and can produce cleaner edges. However, taper, redeposition, thermal damage, and changes in material reflectivity must be considered. Ultrafast laser processing is useful for brittle materials and complex three-dimensional microfeatures.

2.4 Chemical and electrochemical micromachining

Chemical etching selectively dissolves material using a reagent and mask. Electrochemical machining removes conductive material anodically and can produce burr-free surfaces with negligible mechanical force. Chemical processes can be highly productive but may suffer from undercutting, anisotropy, waste treatment requirements, and limited material compatibility.

3. Lithography and MEMS Fabrication

Lithography transfers a pattern from a mask or digitally controlled exposure system into a resist layer. The resist is then developed so that selected regions are protected or exposed during subsequent processing.

3.1 Basic lithographic sequence

A representative sequence is:

  1. Clean and prepare the substrate.
  2. Deposit or spin-coat photoresist.
  3. Soft-bake to remove solvent.
  4. Align the mask and expose the resist.
  5. Develop the latent image.
  6. Etch, implant, deposit, or otherwise process the exposed region.
  7. Strip the resist and inspect the result.

Positive resist becomes soluble in the exposed region, whereas negative resist becomes less soluble in the exposed region. Resolution depends on wavelength, numerical aperture, resist chemistry, focus, vibration, mask quality, and process control.

3.2 MEMS fabrication approaches

Microelectromechanical systems integrate mechanical structures with electrical sensing, actuation, and signal processing. Common fabrication approaches include bulk micromachining, surface micromachining, and wafer bonding.

Bulk micromachining removes material from the substrate, often by anisotropic wet etching or deep reactive-ion etching. It can create cavities, membranes, and high-aspect-ratio structures.

Surface micromachining builds structures from deposited thin films and removes sacrificial layers beneath them. A typical device contains a structural layer, a sacrificial layer, anchors, electrodes, and release openings.

Wafer bonding joins substrates using anodic, fusion, eutectic, adhesive, or other bonding methods. It permits encapsulation, pressure reference cavities, and three-dimensional device architectures.

3.3 Etching and release

Wet etching may be isotropic or anisotropic. Dry etching, including reactive-ion etching and deep reactive-ion etching, offers improved pattern transfer and vertical sidewalls but can produce sidewall roughness, charging, polymer residues, and aspect-ratio-dependent etching.

Release is a critical MEMS step. Capillary forces during liquid drying can cause stiction. Vapor-phase drying, critical-point drying, hydrophobic coatings, and structural design with adequate release holes are common countermeasures.

4. Nanomanufacturing

Nanomanufacturing concerns controlled production of structures and materials with dimensions or functional features commonly below 100 nm, although the useful boundary varies by application. It includes top-down and bottom-up strategies.

4.1 Top-down methods

Top-down methods begin with bulk material and define smaller features by lithography, etching, focused ion beams, electron-beam writing, nanoimprint lithography, or precision machining. They offer positional control and compatibility with integrated circuits, but equipment cost, throughput, tool damage, and pattern-collapse risks may be significant.

4.2 Bottom-up methods

Bottom-up methods assemble structures from atoms, molecules, nanoparticles, or biological building blocks. Chemical vapor deposition, atomic layer deposition, self-assembly, sol–gel processing, colloidal synthesis, and molecular assembly are examples. These methods can produce highly uniform films and particles, but defects, contamination, alignment, scale-up, and reproducibility remain challenges.

Atomic layer deposition uses sequential, self-limiting surface reactions. If each cycle deposits an average thickness g and N cycles are completed, the nominal film thickness is

t = Ng

This relation assumes constant growth per cycle, complete precursor reactions, and negligible incubation or saturation changes. In practice, nucleation delay and nonuniform growth must be measured.

4.3 Nanoparticle and nanocomposite manufacturing

Nanoparticles may be produced by milling, vapor condensation, precipitation, combustion, laser ablation, or biological synthesis. Their properties depend on size distribution, morphology, agglomeration, surface functionalization, and dispersion. Nanocomposites can improve stiffness, conductivity, wear resistance, or barrier performance, but only when particles are distributed effectively and interfaces transfer load.

5. Precision Finishing

Precision finishing removes very small amounts of material or modifies the surface without significantly changing bulk geometry. The objective may be lower roughness, improved form accuracy, removal of damage, or controlled functional texture.

5.1 Grinding and lapping

Precision grinding uses abrasive grains bonded in a wheel. It is suitable for hard materials and close tolerances, but heat generation, wheel loading, residual stress, and grinding burns require control. Lapping uses loose abrasive between a tool and workpiece, producing excellent flatness and finish but generally with lower shape-control capability.

5.2 Polishing and superfinishing

Polishing may be mechanical, chemical, electrolytic, or magnetorheological. Chemical–mechanical polishing combines chemical film formation with abrasive removal and is important for semiconductor wafers. Superfinishing uses fine abrasives and controlled low-amplitude motion to remove peaks and produce plateau-like surfaces.

5.3 Abrasive flow and magnetic abrasive finishing

Abrasive-flow machining forces a viscoelastic abrasive medium through passages, making it valuable for deburring and internal finishing. Magnetic abrasive finishing uses a magnetic field to hold abrasive particles against a surface. Both processes are useful for complex geometries but require careful control of access, media behavior, and removal uniformity.

Surface roughness is commonly quantified by the arithmetic mean roughness:

Ra = (1/L)∫₀ᴸ |y(x)| dx

where L is the evaluation length, y(x) is the measured profile deviation from the mean line, and x is distance along the profile. R_a is not a complete description of a surface: two surfaces can have the same R_a but different spacing, skewness, waviness, or functional behavior.

6. Coatings and Surface Engineering

Surface engineering modifies a surface or near-surface region while retaining a suitable bulk substrate. It is used to control wear, corrosion, friction, fatigue, thermal protection, electrical behavior, and biocompatibility.

6.1 Coating families

FamilyExamplesTypical purpose
Physical vapor depositionTiN, CrN, diamond-like carbonWear resistance, low friction, decorative protection
Chemical vapor depositionCarbides, nitrides, graphene-related filmsConformal or high-temperature coatings
Thermal sprayHVOF, plasma sprayThick wear and thermal-barrier layers
ElectroplatingNickel, chromium, copperCorrosion protection and dimensional restoration
Conversion coatingAnodizing, phosphating, nitridingHardness, adhesion, corrosion resistance
Sol–gel and organic coatingsSilica, polymers, hybrid filmsBarrier, optical, chemical, and biomedical functions

Physical vapor deposition generally produces thin, adherent films under vacuum. Chemical vapor deposition can provide excellent conformity but may involve hazardous precursors or high temperatures. Thermal spray deposits thicker layers but may produce porosity, residual stress, and splat-boundary defects.

6.2 Coating design

A coating must be selected as a system rather than by hardness alone. Important variables include substrate hardness, elastic modulus, coefficient of thermal expansion, adhesion, residual stress, toughness, thickness, roughness, temperature, counterface material, and environment.

The effective contact pressure for a spherical elastic contact can be estimated using Hertzian theory. For two bodies with effective radius R and effective modulus E*, the contact radius under normal load F is

a = [3FR/(4E*)]^(1/3)

where a is contact radius in m, F is load in N, R is effective radius in m, and E* is effective elastic modulus in Pa. The theory assumes smooth elastic bodies, frictionless contact, small deformation, and nonconforming contact. Coating systems may violate these assumptions, especially when the coating is thin relative to the contact size.

6.3 Diffusion-based surface treatments

Carburizing, nitriding, boriding, and laser surface alloying modify composition near the surface. For ideal one-dimensional diffusion with constant diffusivity D, the characteristic diffusion distance is of order

x ≈ √(Dt)

where x is diffusion distance in m and t is time in s. This is a scaling estimate, not a complete concentration solution. It assumes a simple diffusion process and does not account for phase reactions, concentration-dependent diffusivity, or convection.

7. Surface Texturing and Functional Surfaces

Surface texturing deliberately creates dimples, grooves, pores, channels, or hierarchical roughness. Unlike random roughness, engineered texture is designed for a function.

Applications include:

  • lubricant reservoirs and micro-hydrodynamic pressure generation;
  • reduced friction and wear in sliding contacts;
  • improved adhesive or coating retention;
  • enhanced cell attachment on biomedical implants;
  • controlled wettability and liquid transport;
  • optical diffraction and light trapping;
  • improved boiling and heat-transfer performance.

Texture design requires consideration of depth, diameter, spacing, area fraction, orientation, edge shape, and manufacturing repeatability. A texture that reduces friction under full lubrication may increase wear under boundary lubrication. Similarly, a superhydrophobic surface may lose performance when contaminated or mechanically damaged.

Wettability is often described by the contact angle θ. A surface with θ < 90° is conventionally considered wetting or hydrophilic, while θ > 90° indicates relatively poor wetting or hydrophobic behavior. Contact angle alone does not fully characterize dynamic spreading, hysteresis, roughness, or chemical stability.

8. Measurement, Quality, and Process Selection

Advanced manufacturing requires measurement methods matched to scale and function. Optical profilometry is noncontact and suitable for many surfaces; atomic force microscopy measures nanoscale topography; scanning electron microscopy provides high-resolution morphology; interferometry measures form and roughness; stylus instruments provide robust profile measurements; and nanoindentation estimates local mechanical response.

Measurement results depend on filtering, sampling interval, scan direction, tip radius, calibration, and environmental vibration. A reported roughness value should therefore identify the parameter, cutoff or evaluation length, measurement direction, instrument, and filtering method.

A practical process-selection framework is:

  1. Define the functional requirement: geometry, roughness, chemistry, friction, wear, optical response, or biological response.
  2. Establish material compatibility and allowable thermal or mechanical damage.
  3. Compare achievable feature size, tolerance, throughput, and cost.
  4. Assess tooling, cleanroom, chemical, waste, and safety requirements.
  5. Select metrology and acceptance criteria before production.
  6. Validate the process using coupons and functional testing.

9. Worked Example: Microbeam Stiffness

A silicon microcantilever has length L = 200 μm, width b = 20 μm, thickness h = 5 μm, and Young’s modulus E = 160 GPa. Estimate its tip stiffness using the rectangular-beam model.

First calculate the second moment of area:

I = bh³/12

Using SI units, b = 20 × 10⁻⁶ m and h = 5 × 10⁻⁶ m:

I = (20 × 10⁻⁶)(5 × 10⁻⁶)³/12 ≈ 2.08 × 10⁻²² m⁴.

Then:

k = 3EI/L³

With E = 160 × 10⁹ Pa and L = 200 × 10⁻⁶ m,

k ≈ [3(160 × 10⁹)(2.08 × 10⁻²²)]/(200 × 10⁻⁶)³ ≈ 0.125 N/m.

The result is approximately 0.125 N/m. This estimate excludes residual stress, coating layers, shear deformation, surface damage, and nonideal support compliance. It demonstrates why a small change in thickness can strongly change sensor sensitivity and resonance behavior.

10. Applied Case: Textured and Coated Microbearing

Background. An illustrative development team is designing a miniature rotating bearing for a medical diagnostic instrument. The bearing must operate quietly, resist wear, and remain reliable despite intermittent lubrication.

Problem. A smooth uncoated steel contact experiences adhesive wear during start–stop cycles. Conventional liquid lubrication is undesirable because leakage could contaminate the instrument.

Analysis. The team identifies three interacting requirements: low friction during sliding, sufficient hardness against abrasive wear, and a surface capable of retaining a small quantity of lubricant. A very hard but brittle coating could crack under contact stress; excessive texture could increase contact pressure.

Approach. The steel substrate is polished, treated to improve near-surface hardness, and coated with a thin low-friction carbon-based film. Laser-produced shallow dimples are arranged outside the primary load-concentration zone to act as lubricant reservoirs. Coating adhesion is tested by scratch testing, wear is measured under representative load and speed, and surface texture is inspected by optical profilometry.

Outcome. Compared with the original surface, the engineered system shows lower start–stop friction and reduced wear in laboratory testing. However, the result is accepted only after environmental tests involving temperature, contamination, and extended cycling. The team also verifies that the laser process does not create a heat-affected zone that weakens the substrate.

Learning points. Functional performance results from the combined design of substrate, treatment, coating, texture, lubricant, and operating environment. A single metric such as hardness or average roughness cannot predict system reliability by itself.

11. Challenges, Safety, Sustainability, and Emerging Directions

Cleanroom manufacturing may require significant energy for air filtration, temperature control, vacuum systems, and ultrapure water. Wet chemical processes create waste streams that require segregation, neutralization, recovery, and regulatory control. Nanoparticle exposure must be controlled because inhalation, skin contact, and environmental release may present uncertain risks. Engineering controls, closed systems, local exhaust ventilation, appropriate personal protective equipment, exposure monitoring, and safety data review are essential.

Ethical and regulatory responsibilities include truthful reporting of nanoscale risks, traceable process data, safe disposal, protection of workers, and validation of biomedical surfaces. Automated inspection and artificial intelligence can classify defects, predict tool wear, optimize laser parameters, and correlate texture with performance. However, AI models require representative data, calibrated measurement, explainable acceptance criteria, and human oversight. A visually attractive defect classifier must not replace functional validation.

Contemporary developments include hybrid additive–subtractive micromanufacturing, ultrafast laser processing, roll-to-roll nanoimprint lithography, wafer-level packaging, two-photon polymerization, digital twins for process control, and multifunctional coatings with sensing capability. The central trend is convergence: geometry, material composition, surface chemistry, and data-driven control are designed together rather than sequentially.

Best-Practice Checklist

  • Define function before selecting a process.
  • Treat surface and interface properties as design variables.
  • Use dimensionally consistent models and state their assumptions.
  • Control contamination, vibration, temperature, and humidity where relevant.
  • Characterize both geometry and functional performance.
  • Report measurement conditions, filters, and uncertainty.
  • Validate adhesion, fatigue, wear, corrosion, and environmental stability.
  • Consider worker safety, chemical waste, energy use, and end-of-life disposal.
  • Use AI as a controlled engineering aid, not as an unverified replacement for metrology.

Chapter Summary

Micro-, nano- and surface manufacturing produce engineered structures and interfaces whose behavior is strongly affected by scale. As dimensions decrease, surface-to-volume ratio, adhesion, capillary effects, residual stress, tool geometry, and measurement uncertainty become increasingly important. Micromachining includes mechanical, electrical, laser, chemical, and electrochemical processes. Lithography, etching, deposition, sacrificial layers, and wafer bonding provide the foundation of MEMS fabrication. Nanomanufacturing uses both top-down patterning and bottom-up assembly, each with distinct advantages and limitations.

Precision finishing controls roughness, form, and damage. Coatings and diffusion treatments modify wear, friction, corrosion, fatigue, and thermal behavior. Surface texturing adds designed geometry for lubrication, wettability, biological response, optics, and heat transfer. Reliable engineering requires integrated selection of substrate, process, coating, texture, measurement, and operating environment. Safety, sustainability, regulatory compliance, and validated data-driven control are essential to responsible deployment.

Key Terms

Scale effect: Change in dominant physical behavior as feature size changes.

Micromachining: Manufacturing of features commonly in the micrometre range.

Minimum chip thickness: Smallest undeformed chip thickness that produces stable shearing rather than predominantly rubbing.

Micro-EDM: Electrical discharge machining performed with miniature electrodes and controlled spark pulses.

Lithography: Pattern-transfer process using a resist and an exposure or writing method.

MEMS: Microelectromechanical systems integrating mechanical and electrical functions.

Bulk micromachining: Formation of structures by removing material from a substrate.

Surface micromachining: Formation of structures from deposited films and sacrificial layers.

Wafer bonding: Joining of semiconductor or other thin substrates.

Top-down nanomanufacturing: Creation of nanoscale features by reducing or patterning bulk material.

Bottom-up nanomanufacturing: Assembly of structures from atoms, molecules, or nanoparticles.

Atomic layer deposition: Self-limiting sequential deposition process for thin films.

Precision finishing: Low-removal processing used to improve form, finish, or surface integrity.

Surface engineering: Modification of a surface or near-surface region to obtain required properties.

Coating: Applied layer designed to provide one or more functional properties.

Surface texture: Deliberately designed geometric features on a surface.

Stiction: Unwanted adhesion that causes microstructures to stick together.

Surface roughness: Short-wavelength irregularity of a surface profile.

Nanoindentation: Local mechanical testing using a small indenter at micro- or nanoscale loads.

Review Questions

Short Answer Questions

  1. Why does the surface-to-volume ratio become important at small dimensions?
  2. Distinguish bulk micromachining from surface micromachining.
  3. What is the purpose of a sacrificial layer in MEMS fabrication?
  4. State two advantages and two limitations of coatings.
  5. Why is average roughness alone insufficient to describe functional surface behavior?

Long Answer Questions

  1. Explain the complete lithography–etching sequence and identify major sources of dimensional error.
  2. Compare mechanical micromachining, micro-EDM, laser micromachining, and chemical etching.
  3. Discuss top-down and bottom-up nanomanufacturing with respect to precision, throughput, defects, and scalability.
  4. Explain how coating material, substrate, thickness, adhesion, residual stress, and contact conditions interact in a tribological application.
  5. Describe a systematic process-selection and quality-assurance strategy for a MEMS or nano-enabled product.

Analytical / Application Questions

  1. A designer doubles the thickness of a rectangular microcantilever while keeping all other dimensions constant. Using the beam model, predict the change in stiffness and explain the practical consequences.
  2. Select a suitable combination of surface treatment, coating, and texture for a start–stop sliding contact operating with limited lubrication. Justify the selection and identify validation tests.
  3. A nanomanufacturing process produces excellent nominal dimensions but inconsistent functional performance. Develop a diagnostic plan involving metrology, process variables, surface chemistry, and environmental testing.

Multiple Choice Questions with Answers

Question 1

Which scale effect causes surface phenomena to become increasingly important as feature size decreases?

A. Surface-to-volume ratio increases

B. Density always decreases

C. Gravity becomes dominant

D. Elastic modulus becomes zero

Correct Answer: A. Surface-to-volume ratio increases

Question 2

In surface micromachining, a sacrificial layer is primarily used to:

A. Increase substrate density

B. Create a removable space beneath a structural layer

C. Prevent all residual stress

D. Replace lithography

Correct Answer: B. Create a removable space beneath a structural layer

Question 3

For a rectangular cantilever, bending stiffness varies with thickness approximately as:

A. h

B. h²

C. h³

D. 1/h³

Correct Answer: C. h³

Question 4

Which process removes conductive material through controlled spark discharges?

A. Micro-EDM

B. Lapping

C. Atomic layer deposition

D. Anodizing

Correct Answer: A. Micro-EDM

Question 5

A positive photoresist becomes soluble where it has been:

A. Unheated

B. Exposed to the appropriate radiation

C. Bonded to a wafer

D. Covered by a sacrificial layer

Correct Answer: B. Exposed to the appropriate radiation

Question 6

Atomic layer deposition is especially useful because its reactions are generally:

A. Self-limiting

B. Mechanically abrasive

C. Dependent on cutting speed

D. Restricted to bulk removal

Correct Answer: A. Self-limiting

Question 7

Which measurement method is particularly suitable for nanoscale surface topography?

A. Atomic force microscopy

B. Conventional tape measurement

C. Spring balance

D. Large-scale coordinate inspection only

Correct Answer: A. Atomic force microscopy

Question 8

The main purpose of engineered surface texturing is to:

A. Randomize all surface features

B. Provide a designed functional effect such as lubricant retention

C. Eliminate the need for material selection

D. Guarantee zero wear in every environment

Correct Answer: B. Provide a designed functional effect such as lubricant retention

Question 9

If a diffusion process has constant diffusivity, its characteristic diffusion distance scales approximately with:

A. Dt

B. D/t

C. √(Dt)

D. t²/D

Correct Answer: C. √(Dt)

Question 10

Why must coating selection consider the substrate and contact conditions?

A. Coating hardness alone determines performance

B. Adhesion, residual stress, contact stress, and thermal mismatch affect failure

C. Substrates have no influence after coating

D. All coatings behave identically in service

Correct Answer: B. Adhesion, residual stress, contact stress, and thermal mismatch affect failure

Advanced Manufacturing Technology
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