Postgraduate DiplomaRestoration & Classics Applications open

Postgraduate Diploma in Tolerance Analysis and Virtual Reassembly

Online 800-hour Postgraduate Diploma in Tolerance Analysis and Virtual Reassembly. 8 modules with ASME Y14.5-2018 (dimensioning and tolerancing), ISO 1101 (geometrical tolerances) and 3DCS Variation Analyst. Assigned tutor and open enrolment.

Duration800 h
ModeOnline
AwardSEIUM Institute diploma
Virtual lab · try it before you enrol

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Learning outcomes

What you will be able to do

01

Build linear and geometric dimension chains.

02

Apply statistical tolerance stack-up methods.

03

Use 3D variation analysis software.

04

Incorporate measured data from real parts into the analysis.

05

Simulate the virtual reassembly of restored assemblies.

06

Apply the analysis to the reproduction of historical parts.

07

Propose variation management strategies.

Profile

Who it's for

  • Tolerance analysis engineer wishing to specialise in Tolerance Analysis and Virtual Reassembly.
  • Mechanical design engineer wishing to specialise in Tolerance Analysis and Virtual Reassembly.
  • Variation management specialist wishing to specialise in Tolerance Analysis and Virtual Reassembly.
  • Reverse engineering technician wishing to specialise in Tolerance Analysis and Virtual Reassembly.
  • Dimensional quality engineer wishing to specialise in Tolerance Analysis and Virtual Reassembly.
  • Restoration engineer wishing to specialise in Tolerance Analysis and Virtual Reassembly.
  • Graduates in engineering or sciences seeking to enter the automotive industry.
Standards & tools

What you'll work with

  • ASME Y14.5-2018 (dimensioning and tolerancing)
  • ISO 1101 (geometrical tolerances)
  • ISO 8015 (fundamental GPS principles)
  • ISO 5459 (datums and datum systems)
  • ASME Y14.41 (digital product definition)
  • ISO 16792 (digital product definition)
  • ISO 286-1 (ISO system of limits and fits)
Syllabus

8 modules · 800 h

  1. 1.1Concept of a tolerance chain
  2. 1.2Contributors and dimension loops
  3. 1.3Functional requirements of the assembly
  4. 1.4Arithmetic worst case
  5. 1.5RSS statistical method
  6. 1.6Dimension distributions
  7. 1.7Contributor sensitivity
  8. 1.8Geometric tolerances in chains
  9. 1.9Stack-up spreadsheets
  10. 1.10Practice: 1D stack-up of a bearing assembly
  1. 2.1Monte Carlo simulation
  2. 2.2Capability indices in analysis
  3. 2.3Non-normal distributions
  4. 2.4Mean shifts
  5. 2.5Correlation between dimensions
  6. 2.62D and 3D analysis
  7. 2.7Percentage contribution
  8. 2.8Tolerance optimisation
  9. 2.9Cost of tolerances
  10. 2.10Laboratory: Monte Carlo simulation in Python
  1. 3.1CETOL 6σ and 3DCS
  2. 3.2Modelling assembly constraints
  3. 3.3Assembly sequences
  4. 3.4Defining measurements
  5. 3.5Variation of flexible parts
  6. 3.6Interpreting results
  7. 3.7Variation reports
  8. 3.8CAD integration
  9. 3.9Limitations of models
  10. 3.10Workshop: 3D variation model of an assembly
  1. 4.1Scanning existing parts
  2. 4.2Measured deviations versus nominals
  3. 4.3Wear and deformation
  4. 4.4Parts from different batches
  5. 4.5Statistics of used parts
  6. 4.6Assigning real distributions
  7. 4.7Measurement uncertainty
  8. 4.8Measurement database
  9. 4.9Data quality
  10. 4.10Practice: statistical characterisation of measured parts
  1. 5.1Concept of virtual reassembly
  2. 5.2Aligning scanned meshes
  3. 5.3Mesh assembly constraints
  4. 5.4Interference detection
  5. 5.5Clearances and gaps in assemblies
  6. 5.6Fragmented parts
  7. 5.7Reconstruction of incomplete assemblies
  8. 5.8Validation before physical assembly
  9. 5.9Visualisation of results
  10. 5.10Case study: virtual reassembly of a dismantled engine
  1. 6.1Mixing original and new parts
  2. 6.2Selecting matches
  3. 6.3Selective fitting of parts
  4. 6.4Tolerance correction in reproduction
  5. 6.5Body assembly with new panels
  6. 6.6Predicting gaps and flushness
  7. 6.7Reducing rework
  8. 6.8Documenting decisions
  9. 6.9Cost and benefit
  10. 6.10Workshop: optimal part matching
  1. 7.1Product variation strategy
  2. 7.2Robust design
  3. 7.3Taguchi and signal-to-noise ratio
  4. 7.4Tolerances in additive manufacturing
  5. 7.5Communication with suppliers
  6. 7.6Design review
  7. 7.7Validation with prototypes
  8. 7.8Lessons learned
  9. 7.9Continuous improvement
  10. 7.10Practice: robust design of a bolted joint
  1. 8.1Selecting the assembly
  2. 8.2Functional requirements
  3. 8.3Data capture
  4. 8.4Tolerance model
  5. 8.5Statistical analysis
  6. 8.6Virtual reassembly
  7. 8.7Improvement proposals
  8. 8.8Validation
  9. 8.9Report and presentation
  10. 8.10Final review with the tutor
Methodology, software & labs

How you'll learn

100 % online training on the SEIUM campus, with downloadable material, recorded classes and an assigned technical tutor. No fixed timetables: students progress at their own pace within the intake, making it possible to combine study with work.

Each module combines theory, guided reading of the original standard and applied exercises. The working software is 3DCS Variation Analyst, CETOL 6σ, Minitab, Siemens NX, advanced Excel, in free, academic or evaluation versions. Tests are studied using real procedures for calculating dimension chains, Monte Carlo simulation of assemblies and virtual reassembly with scanned parts. Assessment is continuous per module plus the final integrative project.

Accredited laboratories(EN ISO/IEC 17025) with a rotor test rig, EMC/Lightning pre-compliance, HIL/SIL, vibration/acoustics.
Evidence-oriented Master's Thesis (final project):safety case, test plan, compliance dossier and operational limits.
Industry-mentored:lecturers with a track record in training, , eVTOL/UAM and flight test.
Flexible format(hybrid/online), international cohorts and support from SEIUM Career Services.
Ethics and safety:a safety-by-design approach, cyber-OT, DIH and compliance as its pillars.
Capstone project

Build it end to end

Your final project follows the real engineering workflow, step by step, reviewed by your tutor.

Selection of the assembly

Build linear and geometric dimension chains.

Functional requirements

Apply statistical tolerance stack-up methods.

Data capture

Use 3D variation analysis software.

Tolerance model

Incorporate measured data from real parts into the analysis.

Statistical analysis

Simulate the virtual reassembly of restored assemblies.

Career opportunities

Where this takes you

Tolerance analysis engineerMechanical design engineerVariation management specialistReverse engineering technicianDimensional quality engineerRestoration engineer
Admissions & scholarships

Requirements

  • Prior technical training or professional experience in the sector. A university degree is not required.
  • Internet connection and a computer capable of running the programme's software.
  • Sufficient level of Spanish to follow technical standards documentation.

Ready to start?

Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.

FAQ

Frequently asked questions

The programme totals 800 hours, spread over 6 to 8 months. That is between 10 and 15 hours a week on average, compatible with full-time work.

The work uses 3DCS Variation Analyst, CETOL 6σ, Minitab, Siemens NX and advanced Excel. Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.

A SEIUM own diploma on passing the continuous assessment and the integrative project. It is in-house training, not an official Ministry qualification.

Yes. Modules passed in a course or diploma in the same area are recognised towards the advanced programme. Check the recognition policy when you enrol.

Postgraduate Diploma in Tolerance Analysis and Virtual ReassemblyEnrol
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