TASC Engineering Design study materials
TASC Engineering Design study resources

TASC Engineering Design cheat sheet

TASC Engineering Design · Keep the key ideas within reach.

Quick reference

Engineering Design Process

  • Iterative cycle: define problem → gather info → generate concepts → select → model/analyze → prototype → test → refine → communicate; loops back at any stage when test data contradict assumptions.

  • Design review gates occur at concept freeze, preliminary design, critical design, and test readiness; each gate requires documented exit criteria before the next phase begins.

  • Convergent thinking narrows options using constraints and criteria; divergent thinking expands the option set first - alternating too early collapses the solution space prematurely.

  • Verification answers 'did we build the product right' (meets spec); validation answers 'did we build the right product' (meets user need) - both are required.

  • Requirements traceability matrix links each requirement to a design element and a test; orphan requirements or untested elements are audit findings.

  • A design freeze is a configuration baseline; changes after freeze require an engineering change request with impact analysis on cost, schedule, and risk.

  • Root-cause tools (5 Whys, fishbone) are applied during problem definition, not after prototyping, to avoid solving the wrong problem.

  • Stage-gate metrics: concept screening uses weighted scores; detailed design uses failure modes, tolerance stack-up, and cost-to-target.

Quick reference

Problem Definition and Requirements

  • A requirement is verifiable if a specific test, measurement, or inspection can prove compliance; 'user-friendly' is not verifiable, 'task completed in ≤3 steps' is.

  • Functional requirements state what the system must do (verb + object + measurable condition); non-functional requirements state qualities such as reliability, mass, noise, or cost.

  • Constraints are non-negotiable boundaries (regulatory limits, envelope, budget ceiling); criteria are negotiable preferences ranked by weight.

  • Well-formed requirement attributes: unique ID, rationale, owner, verification method, and acceptance threshold with units.

  • MoSCoW or pairwise comparison assigns weights to criteria; weights must sum to 1.0 so weighted scores are comparable across concepts.

  • A requirement should be singular (one 'shall' per statement); compound requirements hide untested clauses and cause ambiguous acceptance.

  • Assumptions must be logged with an owner and a validation date; an unvalidated assumption is a latent design risk.

  • Interface requirements define exchange across boundaries - mechanical mounting, power, data protocol, and human handoff - and are frequent sources of integration failure.

Quick reference

Concept Generation and Selection

  • Functional decomposition breaks the top-level function into subfunctions; each subfunction generates a morphological chart of working principles, and combinations form candidate concepts.

  • Brainstorming rules: defer judgment, encourage wild ideas, build on others, one conversation at a time - quantity precedes quality screening.

  • TRIZ resolves contradictions (improving one parameter degrades another) using inventive principles such as segmentation, nesting, and inversion.

  • Pugh matrix: a datum concept scores 0; alternatives score +, −, or 0 per criterion; the highest net plus count advances, and weak criteria drive redesign.

  • Weighted decision matrix score = Σ (criterion weight × rating); ratings use a consistent scale (e.g., 1–5) and weights must sum to 1.0.

  • Selection must separate must-have screening (pass/fail gate) from want-based scoring; a concept failing any constraint is eliminated regardless of score.

  • Reverse engineering and benchmarking generate concepts by analyzing existing solutions' working principles without copying protected designs.

  • Concept risk ranking uses probability × consequence; high-risk concepts need early bench tests before committing to detailed design.

Quick reference

Design Analysis and Modeling

  • Free-body diagrams isolate a body, show all external forces and moments, and are the prerequisite for any equilibrium or dynamic analysis.

  • Static equilibrium: ΣF = 0 and ΣM = 0; safety factor n = failure strength / applied stress, and n must exceed the value set by the applicable code.

  • Stress σ = F/A (axial), σ = Mc/I (bending), τ = Tc/J (torsion); deflection and strain follow from material stiffness E or G.

  • Tolerance stack-up: worst-case = sum of tolerances; statistical (RSS) = √(Σ tᵢ²) - RSS assumes independent, centered distributions.

  • Finite element analysis requires mesh convergence checks: refine until results change less than a set percentage between mesh densities.

  • Model validity depends on assumptions (linear elastic, small deflection, steady state); results outside the assumption envelope must not be reported as design proof.

  • Units discipline: carry units through every equation and convert before substitution; dimensional mismatch is a leading cause of analysis error.

  • Thermal and fatigue checks are separate load cases: fatigue life uses alternating and mean stress with an S-N curve or damage accumulation rule.

Quick reference

Prototyping and Testing

  • Prototype fidelity is chosen by question: low-fidelity (foam, cardboard, sketches) tests form and concept; high-fidelity tests performance, tolerance, and manufacturing.

  • Test plan elements: objective, specimen ID, instrumentation, procedure, acceptance criteria, data sheet, and operator sign-off.

  • Measurement system analysis precedes design testing; gauge repeatability and reproducibility (R&R) below roughly 10–30% of tolerance is acceptable.

  • Design of experiments varies factors systematically to isolate effects and interactions rather than one-factor-at-a-time testing.

  • Acceptance testing compares measured output to requirement thresholds; durability testing accelerates time using validated acceleration factors.

  • Test data must record conditions (temperature, humidity, specimen lot) because untraceable data cannot support a verification claim.

  • Failure during test is information: classify failure mode, mechanism, and site, then feed back to design or to the test method itself.

  • Correlation compares prototype test results to model predictions; a mismatch beyond a set band triggers model revision, not just hardware revision.

Quick reference

Materials, Manufacturing, and Cost

  • Material selection maps function to property: stiffness (E), strength (yield/ultimate), density (ρ), thermal conductivity, and corrosion resistance.

  • Specific stiffness E/ρ and specific strength σ/ρ drive lightweight selection; a material chart plots these on log axes with selection lines.

  • Ashby-style screening applies a hard constraint filter first, then ranks survivors by a material index derived from the objective.

  • Process selection depends on lot size, tolerance, surface finish, and material: casting for complex shapes, machining for precision, injection molding for high volume.

  • Cost model: unit cost = (material + labor + tooling amortized over volume + overhead) + scrap allowance; tooling dominates at low volume.

  • Design for manufacturing reduces part count and fasteners; design for assembly reduces handling time and orientation difficulty.

  • Heat treatments (annealing, quenching, tempering) trade hardness against ductility; welding alters heat-affected-zone properties near the joint.

  • Tolerance costs rise steeply as tolerance tightens; specify the loosest tolerance that satisfies function to control cost.

Quick reference

Safety, Ethics, and Standards

  • Hierarchy of controls: eliminate, substitute, engineer (guards, interlocks), administrate (procedures, training), then personal protective equipment - PPE is last.

  • Risk = severity × probability; residual risk after controls must be documented and communicated, and acceptable risk thresholds come from standards or law.

  • Informed consent and whistleblowing duties: an engineer must report a hazard that endangers the public even when it conflicts with employer interest.

  • Standards are consensus technical documents; codes are standards adopted into law; both define minimum, not optimal, performance.

  • Conflict of interest, data fabrication, and misrepresentation of test results are core research and professional misconduct categories.

  • Failure modes and effects analysis ranks risk priority number = severity × occurrence × detection; high RPN items require action first.

  • Lockout/tagout isolates hazardous energy before maintenance; machine guarding and emergency stops are engineering controls, not administrative ones.

  • Intellectual property: patents protect novel, useful, non-obvious inventions for a limited term; trade secrets require active confidentiality measures.

Quick reference

Communication and Teamwork

  • A design report structure: problem statement, requirements, alternatives considered, selection rationale, analysis, test results, conclusions, and recommendations.

  • Technical drawings follow projection and dimensioning conventions; a title block carries scale, units, tolerance default, and revision level.

  • Revision control assigns version identifiers and change logs so every team member works from the same released document.

  • Team role clarity (owner, reviewer, approver) prevents orphaned tasks; a RACI matrix maps responsibility, accountability, consult, and inform.

  • Meeting records capture decisions, owners, and due dates; an action without an owner and a date is not a commitment.

  • Constructive critique addresses the design, cites evidence, and proposes an alternative; personal attribution blocks technical dissent.

  • Graphical integrity: axes labeled with units, consistent scales, and no truncated baselines that exaggerate differences.

  • Stakeholder communication tailors depth to audience - executives need risk, cost, and schedule; technicians need procedure and acceptance criteria.