22-Mec-B5 Product Design and Development · December 2019
Question 1 of 7: Updating a 50-Year-Old Aircraft — Team, Objectives, Concept Selection and Specification Flow-Down
Nivaar worked solution (AI-drafted; not reviewed by a licensed engineer)
Notes on this paper
Paper format. National Exams, December 2019 — 16-Mec-B5
Product Design and Development. Three (3) hours; OPEN BOOK; a Casio or
Sharp approved calculator is permitted. Question 1 must be completed and is worth
40 %; four (4) of the six (6) remaining questions are chosen, each worth
15 %, for a total of 100 %. The first five questions appearing in the
answer book are the ones marked. Most questions require an essay answer or the use
of tables, figures and charts, and clarity and organisation of the answer are
explicitly marked. All seven questions are solved here.
Reference texts.
K. T. Ulrich and S. D. Eppinger, Product Design and
Development, 6th ed., McGraw-Hill — the framework text for this exam
code (concept generation and selection, product architecture, DFM, development
processes).
G. E. Dieter and L. C. Schmidt, Engineering Design,
5th ed., McGraw-Hill — design process, decision methods, cost evaluation.
G. Pahl, W. Beitz, J. Feldhusen and K.-H. Grote, Engineering Design: A
Systematic Approach, 3rd ed., Springer — requirement lists and
systematic embodiment design.
G. Boothroyd, P. Dewhurst and W. Knight, Product Design for Manufacture and
Assembly, 3rd ed., CRC Press — the DFA index and process cost models
used in Questions 1 and 6.
M. F. Ashby, Materials Selection in Mechanical Design,
5th ed., Butterworth-Heinemann — material indices and the
translate/screen/rank/document procedure.
D. P. Raymer, Aircraft Design: A Conceptual Approach,
6th ed., AIAA — the Breguet range relation and installed-propulsion
book-keeping used in Question 1.
R. G. Cooper, Winning at New Products, 5th ed., Basic Books
— stage-gate governance and the expected commercial value model in
Question 7.
Canadian instruments cited in the answers: Canadian Aviation
Regulations (SOR/96-433) Part V and Airworthiness Manual Chapter 525;
Motor Vehicle Safety Act (S.C. 1993, c. 16) and the Motor Vehicle
Safety Regulations (CMVSS series); Patent Act (R.S.C. 1985,
c. P-4) as administered by CIPO; CSA C22.1 Canadian Electrical Code,
Part I.
Question 1: Updating a 50-Year-Old Aircraft — Team, Objectives, Concept Selection and Specification Flow-Down (40 marks)
Design direction adopted (and held consistently through A–E).
The subject aircraft is a 180-seat single-aisle transport of a 1970s type
certificate: a 79 000 kg maximum take-off mass, a 3 000 km design
mission, an aluminium semi-monocoque airframe, first-generation low-bypass
turbofans, mechanical flight controls and analogue instrumentation. The commercial
decision taken at the outset, and defended in part B, is a
derivative programme under an amended type certificate rather than
a clean-sheet aircraft: it preserves the existing certification basis, the
production tooling and — decisively for an airline customer — the pilot
type rating. Everything that follows is judged against that direction.
Part A — The four anchor skill sets
A derivative aircraft programme fails for organisational reasons far more often
than for technical ones, so the four anchors are chosen to close the four ways this
particular programme can die: it can be uncertifiable, it can be unbuildable, it can
be unsellable, and it can be ungovernable. Naming a discipline is not enough; each
anchor is stated below as a skill set with the decision authority that goes with it.
Certification and airworthiness engineering. The anchor must be
able to write and defend a certification basis — which paragraphs of
Airworthiness Manual Chapter 525 apply, which changed-product-rule elements are
triggered by each proposed change, and where a Transport Canada Civil Aviation
finding of compliance will be by analysis, by similarity, or by test. On a
fifty-year-old type certificate this is the single most valuable skill on the team,
because the difference between an amended type certificate and a
new one is measured in hundreds of millions of dollars and several years,
and that boundary is decided by the detail of what changes, not by its magnitude.
This person holds a veto over configuration changes.
Systems engineering and requirements management. The second
anchor owns the requirements architecture: the flow-down from the three high-level
objectives of part B to allocated, verifiable, budgeted specifications, and the
interface control between the changed and unchanged parts of the aircraft. On a
derivative, most of the aircraft is not being redesigned, so the interfaces
between new and legacy are where the programme risk concentrates. The skill wanted
is model-based systems engineering discipline — one authoritative requirements
and interface model, not a stack of documents that disagree.
Propulsion and aerodynamic integration. The third anchor is a
domain specialist in installed propulsion performance: nacelle and pylon
aerodynamics, engine and airframe thermodynamic matching, and the book-keeping that
decides whether an advertised engine specific-fuel-consumption improvement survives
installation. Part C shows why this skill is the pivotal one for the objective
selected: an uninstalled 15 % fuel improvement becomes roughly 12.8 % once
nacelle drag and engine mass are charged against it, and a team without this skill
will write the wrong number into the specification.
Manufacturing and supply-chain engineering (design for production and
for retrofit). The fourth anchor keeps the design producible on the
existing line and, where the change is retrofittable, installable in a
customer maintenance visit. Aerospace derivative programmes routinely erase their
own business case in the industrialisation phase, because a change that is elegant
on the drawing is a new jig, a new qualified supplier and an eighteen-month
lead-time part. This anchor also owns obsolescence: fifty-year-old avionics and
actuation components are frequently no longer procurable at all, which is by itself
a reason the update is happening.
Two skills deliberately not made anchors are stress analysis and
detail design. They are indispensable and will be heavily staffed, but they are
mature, well-tooled and readily contracted; they do not decide whether the
programme is viable. The anchor test used here is the one Dieter and Schmidt apply
to team composition — anchor the roles whose judgement cannot be recovered
later by more effort.
Part B — Three high-level design objectives
The three objectives below are chosen because each is a condition an airline
imposes before it will place an order, and because each is measurable, which is
what allows part E to turn them into specifications.
Objective 1 — Reduce block fuel per seat-kilometre by at
least 12 % at the design mission. Fuel is the largest single operating
cost of a single-aisle aircraft on a 3 000 km stage, and it is the cost
the customer keeps paying for twenty-five years after purchase. It is also now a
regulatory quantity rather than merely a commercial one: aeroplane
carbon-dioxide emission standards apply to new and derivative type designs, so an
un-updated fifty-year-old configuration is progressively excluded from new
production regardless of what any airline thinks of it. This is the objective
carried forward into parts C, D and E.
Objective 2 — Bring the flight deck and aircraft systems to a
current, supportable and obsolescence-free standard. Two forces act
together. Commercially, required navigation performance, controller-pilot data link,
automatic dependent surveillance and future air-traffic-management mandates make an
analogue flight deck progressively unable to access the most valuable airspace and
approaches. Practically, fifty-year-old avionics, electromechanical actuation and
wiring are no longer procurable; the supply chain has ended the product whether or
not the operator has. An update that does not address obsolescence merely postpones
the same programme.
Objective 3 — Reduce maintenance cost per flight hour and
lengthen the maintenance interval, while raising cabin appeal at constant seat
count. Maintenance is the second-largest controllable operating cost, and
it is where fifty years of materials, sensing and structural-health knowledge pay
directly — corrosion-resistant alloys and composite secondary structure,
condition-based rather than calendar-based tasks, and on-board data that turns
unscheduled removals into planned ones. The cabin is included here rather than as a
fourth objective because it is the only part of the aircraft the paying passenger
ever evaluates, and on a derivative it is the cheapest visible differentiator: a
new interior, larger bins and modern lighting change the product the airline sells
without touching the certification basis of the aircraft itself.
Objectives 1 and 3 compete with one another for mass and for capital, and
objective 2 competes with both for electrical power, cooling and panel space.
Stating that tension now is deliberate: part E has to arbitrate it, and an
objective set that does not conflict has not been set ambitiously enough.
Part C — Three competing approaches to Objective 1
Given. The design mission and datum aircraft are as follows.
Quantity
Symbol
Value
Cruise Mach number / speed of sound at FL350
M, a
0.78, 295.0 m/s
True airspeed in cruise
V
230.1 m/s
Cruise lift-to-drag ratio, datum
L/D
17.0
Installed thrust specific fuel consumption, datum
c
1.60 × 10−4 s−1
Cruise range segment
R
3 000 km
Start-of-cruise mass
W1
79 000 kg
Sectors flown per aircraft per year
N
750
Delivered jet fuel price
p
CAD 1.057 per kg
Find. The cruise fuel burned per sector by the datum aircraft
and by each of three competing approaches to Objective 1, so that the three can
be compared on a single quantitative footing in part D.
Figure 1.1 — Cruise fuel per 3 000 km sector for the datum aircraft and the three competing approaches of part C, computed from the Breguet range relation at M0.78 and 79 000 kg start-of-cruise mass.
Approach. Each candidate changes exactly one term of the Breguet
range relation — specific fuel consumption, lift-to-drag ratio, or mass —
so inverting that relation for fuel burned at fixed range isolates the contribution
of each and makes the three genuinely comparable.
State the governing relation and invert it for fuel. For cruise
at constant Mach number and lift coefficient, the Breguet range relation gives
$$R=\frac{V}{c}\,\frac{L}{D}\,\ln\!\left(\frac{W_1}{W_2}\right)$$
where $V$ is true airspeed, $c$ the installed thrust specific fuel consumption
expressed as fuel weight flow per unit thrust, $L/D$ the cruise lift-to-drag ratio,
and $W_1$, $W_2$ the start- and end-of-cruise masses. Solving for the fuel burned,
$W_f=W_1-W_2$, gives the working form used throughout this question,
$$\boxed{\,W_f=W_1\left[1-\exp\!\left(-\frac{R\,c}{V\,(L/D)}\right)\right]}$$
Evaluate the datum. Substituting the datum values,
$R c/(V\,L/D)=(3.0\times10^{6})(1.60\times10^{-4})/(230.1\times17.0)=0.12271$, so
$$W_{f,0}=79\,000\left(1-e^{-0.12271}\right)=9\,122.8\ \text{kg per sector.}$$
Every candidate below is measured against this figure.
Option 1 — re-engine with a modern high-bypass geared
turbofan. A current-generation engine of this thrust class offers roughly
15 % lower cruise specific fuel consumption, so $c$ falls to
$1.36\times10^{-4}\ \text{s}^{-1}$ and the exponent becomes 0.10430:
$$W_{f,1}=79\,000\left(1-e^{-0.10430}\right)=7\,824.7\ \text{kg},$$
a saving of 1 298.1 kg per sector, or 14.23 %. This is by a wide
margin the largest single lever, which is exactly why re-engining dominates real
derivative programmes.
Option 2 — aerodynamic refinement. Blended
winglets or raked tips, a re-profiled wing-body fairing, revised flap-track
fairings and a natural-laminar-flow nacelle raise cruise $L/D$ from 17.0 to
about 17.8, a 4.7 % improvement. Then
$$W_{f,2}=79\,000\left(1-e^{-0.11719}\right)=8\,736.4\ \text{kg},$$
a saving of 386.4 kg per sector, or 4.24 %.
Option 3 — structural and interior mass reduction.
Carbon-fibre secondary structure (fairings, control surfaces, floor beams), a
composite interior and lighter seats remove about 1 800 kg of operating
empty mass. At fixed range the fuel scales with the start-of-cruise mass, so
$$W_{f,3}=77\,200\left(1-e^{-0.12271}\right)=8\,915.0\ \text{kg},$$
a saving of 207.9 kg, or 2.28 %. Note the structural result:
because $W_f$ is proportional to $W_1$ at fixed range, the percentage fuel saving
equals the percentage mass saving exactly, $1\,800/79\,000=2.28\ \%$. That
identity is worth carrying into part D, because it means mass reduction can
never beat a good engine on this objective unless the mass saved is enormous.
The three approaches are genuinely competing rather than three flavours of the
same idea: one changes the propulsion system, one changes the external
aerodynamic shape, and one changes the structure and furnishing. They also differ
completely in certification path, in whether they can be retrofitted to aircraft
already in service, and in capital cost — which is what makes part D a
real decision rather than an arithmetic exercise.
Candidate
Mechanism
Cruise fuel (kg/sector)
Saving (kg)
Saving (%)
Datum
—
9 122.8
—
—
Option 1
c: 1.60 → 1.36 × 10−4 s−1
7 824.7
1 298.1
14.23
Option 2
L/D: 17.0 → 17.8
8 736.4
386.4
4.24
Option 3
W1: 79 000 → 77 200 kg
8 915.0
207.9
2.28
Part D — Selection strategy, and its application to the three options
Given. The three candidates of part C, their computed fuel
savings, and the capital cost of each per aircraft: CAD 4.60 M for the
re-engine (shipset price premium plus amortised non-recurring and certification
cost), CAD 1.15 M for the aerodynamic package, and
CAD 1.90 M for the structural mass reduction.
Find. A defensible selection, produced by a strategy that is
stated before the candidates are scored and that survives a sensitivity test.
Approach. A three-stage strategy is used, deliberately ordered so
that cheap filters run first: (i) Pugh screening against the do-nothing datum to
eliminate anything that is not at least neutral overall; (ii) a weighted objective
matrix with the weights fixed and signed off before any rating is entered;
(iii) two hard economic and regulatory gates, followed by a sensitivity sweep on the
dominant weight. Stage (iii) exists because a weighted matrix produces a number,
and a number that is within its own noise is not a decision.
Stage 1 — Pugh screening against the datum. Each concept
is scored $+$, $0$ or $-$ against the unchanged aircraft on eight criteria. The
purpose is not to rank but to eliminate, and to expose concepts whose negatives
cluster in one place.
Criterion
Datum
Option 1 re-engine
Option 2 aerodynamics
Option 3 mass
Block fuel per seat-km
0
+
+
+
Emission-standard compliance
0
+
+
+
Certification effort
0
−
−
−
Capital cost per aircraft
0
−
−
−
Maintenance cost per flight hour
0
+
0
−
Payload-range capability
0
+
+
+
Community noise
0
+
0
0
Retrofit to in-service fleet
0
−
+
−
Net (plus minus minus)
0
+2
+2
0
All three survive screening, which is the expected outcome when the concepts have
been generated systematically rather than opportunistically. The screening is still
worth the ten minutes it costs, because it shows that option 3 is only
break-even against doing nothing and that option 1's negatives are concentrated
in certification and capital — precisely the two criteria the next stage
weights most heavily after fuel.
Stage 2 — fix the weights before scoring. Six criteria
are weighted to sum to unity. The weights are set by the programme steering group
from the objective set of part B and recorded before any candidate is rated,
which is the single most important procedural safeguard in weighted scoring: weights
chosen after ratings are seen are simply a rationalisation of a decision already
taken.
$$\begin{aligned} &\boxed{\,S_j=\sum_{i=1}^{6} w_i\,r_{ij}\,} \\ \sum_i w_i &= 1 \\ &r_{ij}\in\{1,\dots,5\} \end{aligned}$$
Stage 2 (continued) — rate and total. Ratings are on a
1–5 scale, 5 best, anchored to the part C computations wherever a
computation exists.
Criterion
Weight wi
Opt 1
Opt 2
Opt 3
Block-fuel reduction (computed, part C)
0.30
5
3
2
Certification risk and schedule
0.20
2
4
3
Capital cost per aircraft
0.20
2
4
3
Payload-range and fleet commonality
0.15
5
3
4
Maintenance cost and reliability
0.10
4
3
2
Retrofit to in-service fleet
0.05
2
5
2
Weighted total Sj
1.00
3.55
3.50
2.70
Option 1 leads, but by 0.05 on a five-point scale — about 1.4 % of
the range. Reporting that as a result would be dishonest, and stage 3 exists to
deal with it.
Stage 3a — sensitivity sweep on the dominant weight. Hold
the ratings and let the fuel weight $w$ vary, rescaling the other five weights
proportionally by $(1-w)/0.70$. Options 1 and 2 exchange rank where
$$5w+\frac{2.05(1-w)}{0.70}=3w+\frac{2.60(1-w)}{0.70}
\;\Longrightarrow\; 2w=\frac{0.55}{0.70}(1-w)
\;\Longrightarrow\; \boxed{w^{*}=0.282}$$
The chosen weight is 0.300. The decision is therefore fragile: an
0.018 shift in one weight inverts it. Figure 1.2 shows the crossing.
Figure 1.2 — Sensitivity of the weighted total score to the weight placed on block-fuel reduction, the remaining five weights being rescaled proportionally. Options 1 and 2 exchange rank at w = 0.282, only 0.018 below the weight actually chosen.
Stage 3b — break the tie with two hard gates the matrix cannot
see. Because the matrix cannot separate options 1 and 2, the
decision is referred to two criteria that are absolute rather than weighted. The
first is the cost of saved fuel, $g = I/(\Delta W_f\,N)$, the capital spent per
kilogram of annual fuel avoided; the programme gate is CAD 6.00 per annual
kilogram. The second is simple payback, $t_p = I/(\Delta W_f\,N\,p)$, against a
five-year gate set by the airline's own fleet-planning horizon.
$$\begin{aligned} g_1&=\frac{4.60\times10^{6}}{1\,298.1\times750}=4.72 \\ g_2&=\frac{1.15\times10^{6}}{386.4\times750}=3.97 \\ g_3&=\frac{1.90\times10^{6}}{207.9\times750}=12.19 \end{aligned}$$
in CAD per annual kilogram, and
$$\begin{aligned} t_{p,1}&=\frac{4.60\times10^{6}}{1\,298.1\times750\times1.057}=4.47\ \text{yr} \\ t_{p,2}&=3.75\ \text{yr} \\ t_{p,3}&=11.53\ \text{yr} \end{aligned}$$
Read the gates and decide. Option 3 fails both gates
decisively — CAD 12.19 per annual kilogram against a CAD 6.00
ceiling, and an 11.5-year payback — and is eliminated outright, despite having
survived Pugh screening and scored 2.70 in the matrix. Options 1 and 2 both
pass, and option 2 is in fact the more efficient use of capital on both
gates. What separates them is that option 2 is capacity-limited: 4.24 % is
the whole of what aerodynamic refinement can deliver, and it does not reach the
12 % objective set in part B, whereas option 1 does. The
decision taken is option 1, the re-engine, with the option 2 aerodynamic
package retained as a funded second work-package — it clears both
gates on its own merits, it is the only one of the three that retrofits to aircraft
already in service, and its benefit is very nearly additive to the engine's because
the two act on different terms of the range relation. Option 3 is deferred to
a later cabin refresh, where the mass reduction can be bought incidentally rather
than paid for directly.
Quantity
Option 1
Option 2
Option 3
Fuel saved per sector (kg)
1 298.1
386.4
207.9
Fuel saved (%)
14.23
4.24
2.28
Annual fuel saved per aircraft (kg)
973 569
289 828
155 896
Annual saving (CAD)
1 029 062
306 348
164 782
Weighted matrix score
3.55
3.50
2.70
Cost of saved fuel (CAD per annual kg; gate 6.00)
4.72 pass
3.97 pass
12.19 fail
Simple payback (yr; gate 5.0)
4.47 pass
3.75 pass
11.53 fail
Rank-inversion weight w*
0.282 (chosen weight 0.300)
Decision
Selected
Funded as a second work-package
Deferred
Check. The capital figures are planning-grade estimates for a
derivative programme of this size and would be replaced by supplier quotations and a
non-recurring-cost estimate before the gate review; the fuel price and the annual
utilisation of 750 sectors are the airline's own planning assumptions. The
conclusion is not sensitive to modest changes in either — option 3 fails
its gate by a factor of two — but the option 1 against option 2
ordering is sensitive to the weights, which is exactly why it was decided on the
capacity argument rather than on the matrix.
Part E — Converting the chosen solution into specifications, documenting
it and communicating it
Given. The selected solution is the re-engine of
option 1, whose uninstalled benefit is a 14.23 % cruise fuel
reduction. The installation charges against it a nacelle and pylon drag penalty of
up to 1.1 % of aircraft cruise drag and an engine-plus-pylon mass increase of
up to 480 kg. The specification written in part B demands 12.0 %.
Find. Whether the installed configuration still meets the
specification, with what margin, and how that single number is decomposed into
allocated, owned and verifiable requirements for the rest of the design team.
Approach. Specification flow-down on this kind of programme is a
budget: the top-level number is decomposed into signed allocations that must
roll back up with positive margin. The budget is computed first, then documented as
a requirements tree, then communicated through interface control and configuration
management.
Compute the installed benefit rather than quoting the engine
brochure. Re-evaluating the range relation with all three installation
effects applied simultaneously — $c=1.36\times10^{-4}\ \text{s}^{-1}$,
$L/D$ reduced by the factor $1/1.011$, and $W_1$ raised to 79 480 kg
— gives
$$W_{f,\text{installed}}=79\,480\left[1-\exp\!\left(-\frac{(3.0\times10^{6})(1.36\times10^{-4})}{230.1\times(17.0/1.011)}\right)\right]=7\,954.4\ \text{kg}$$
so the installed reduction against the 9 122.8 kg datum is
$$\boxed{\,\frac{9\,122.8-7\,954.4}{9\,122.8}=12.81\ \%\,}$$
against a 12.00 % specification: a margin of 0.81 percentage
points. Read as a budget, the 14.23 points delivered by the engine are
reduced by 0.89 points of nacelle and pylon drag and a further 0.53 points of
installed mass, $-14.23+0.89+0.53=-12.81$, so 1.42 of the 14.23 points — a
tenth of the headline benefit — is consumed by installation before any
sub-team has made a single detail-design decision. This is the whole reason the
propulsion-integration anchor of part A
exists, and the reason the specification is written against installed, flight-tested
performance rather than against the engine supplier's uninstalled deck.
Turn the margin into allocated requirements with named owners.
The 12.81 % is decomposed into four allocations, each with a numeric limit, an
owner and a verification method. Written in the form used on the requirements tree
below, they are: propulsion, $\Delta c/c \le -15.0\ \%$ at the cruise rating;
installation, $\Delta C_D \le +1.1\ \%$ of aircraft cruise drag; and mass
properties, $\Delta m \le +480\ \text{kg}$ for engine, nacelle, pylon and mounts
combined. The 0.81 point residue is held as programme margin by the
chief engineer and is not visible to the sub-teams — margin that is published
is margin that is spent. Bleed and electrical offtake re-allocation, which a modern
engine also permits, is deliberately not claimed in the budget: it is
tracked as an unallocated opportunity, so that if the drag or mass allocation is
exceeded there is something left to trade.
Figure 1.3 — Requirements flow-down for the selected solution. The programme-level objective is decomposed into four allocations, each with a numeric limit, a single owner and a stated verification method; the roll-up must reproduce the parent with positive margin.
Document the design in four controlled artefacts, not in a report.
(i) A system requirements document holding every allocation above
with its rationale, its verification method and its trace to the part B
objective — requirements without rationale are re-litigated at every review.
(ii) Interface control documents for each boundary between the changed and
the unchanged aircraft: pylon-to-wing structural interface, engine-to-aircraft
electrical and bleed interfaces, engine-indication data to the flight deck, and the
nacelle-to-airframe aerodynamic interface. On a derivative these ICDs are the most
valuable documents on the programme, because most of the aircraft is not being
redesigned and every defect will be found at an interface. (iii) A certification
plan agreed with Transport Canada Civil Aviation stating the certification
basis, the changed-product-rule assessment, and each means of compliance. (iv) A
mass and performance budget under formal configuration control, so that
every proposed change is scored against the 0.81-point margin before it is
approved.
Communicate through a single authoritative model and a cadence of
reviews. The four artefacts live in one configuration-managed baseline
— a model-based systems engineering environment where the requirements, the
interfaces and the digital mock-up are linked, so that a change to an allocation
propagates visibly to everyone it affects. Around that baseline the team runs a fixed
cadence: weekly integration meetings at the interfaces, a formal change-control
board that is the only body permitted to move an allocation or spend margin, and the
conventional gate reviews — preliminary design review to confirm the
allocations are achievable, critical design review to confirm the detailed design
meets them, and a test-readiness review before certification flight test. Every
change request that arrives after the baseline is frozen must state its effect on
the budget in the same units as the budget itself; a change that cannot say what it
costs in percentage points of block fuel is not evaluable and is rejected on that
ground alone.
Close the loop with verification. Each allocation names how it
will be proved: the engine deck by supplier rig test and by installed flight test at
four cruise ratings; the drag increment by computational fluid dynamics, confirmed in
the transonic wind tunnel and finally by flight-test drag polars; the mass by
component weigh-off at first article and by aircraft weigh-off before delivery; the
offtake credit by systems load analysis. The programme is not finished when the
drawings are released — it is finished when the roll-up of verified evidence
reproduces the 12.81 % with the margin intact.