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A common-origin pressure-tap position error shifts several inferred tap positions together relative to a fixed physical reference. It is a shared contribution to correlated position errors of pressure taps, not an independent placement error for every hole. Whether it affects a pressure-derived load depends on which references are held fixed.

For dimensionless chord coordinate $\xi$, suppose the uncertain displacement is the same scalar $e$ for every tap. A first-order Taylor expansion of the pressure coefficient gives $\delta C_{p,i}\simeq C_p^{\prime }({\xi }_i)e$. For a reconstruction $Q={\sum }_i{w}_i{C}_{p,i}$ with fixed quadrature weights,The position covariance matrix is $u_e^{2}11^T$, a rank-one matrix. Squaring each tap's contribution before adding would discard the shared covariances. The covariance terms belong in the general propagation of uncertainty.^[ref]

An original locally linear example takes eight equal weights $w_i=1/8$, equal local slopes $C_p^{\prime }=20$ and $u_e=0.002$. The reconstructed coefficient has standard uncertainty $u_Q=0.040$. Incorrect independence would give $0.040/\sqrt{8}\approx 0.0141$. If a two-dimensional load per span is $L^{\prime }=qcQ$ with stipulated dynamic pressure $q=500$ Pa and airfoil chord $c=0.20$ m, these become $4.0$ and $1.41$ N/m. The chosen slopes describe a sensitivity model, not measured airfoil data.

Opposite-signed sensitivities can cancel the shared contribution. Conversely, repeating coordinate readings without independently checking the misplaced datum cannot average away its fixed error. A proposed test measures an independent reference mark and deliberately translates the assumed origin in the reconstruction, comparing the observed load sensitivity with the derivative above. If moving coordinates also changes the integration weights, those additional derivatives must be included.

Pressure-tap datum cancellation is a different situation. When the tap, leading edge and trailing edge are all expressed through the same affine map $u=a+bx$, with $b>0$,The common origin and scale cancel exactly. Merely translating a shared coordinate system causes no physical tap misregistration. Affine pressure-tap coordinate calibration must therefore state whether the datum is shared or independently fixed before assigning a common-origin uncertainty.

Pressure-tap position calibration determines the locations assigned to pressure tappings relative to a specified model coordinate system, with corrections and uncertainties. It is a geometrical measurement calibration, distinct from calibrating the pressure transducer. A correct pressure reading cannot compensate for assigning it to the wrong point on a steep pressure coefficient profile.

A proposed practical procedure measures each hole center against visible reference marks, establishes the leading edge and airfoil chord used for normalization, and records the coordinate transformation. A calibrated imaging scale or translation stage can provide the comparison. Record repeated readings and shared datum errors separately, and check that the measured view represents the intended surface coordinates rather than an oblique projection. This is a proposed metrological procedure, not an assertion that a particular historical airfoil experiment performed it.

An affine pressure-tap coordinate calibration has the simple formwhere $r$ is the instrument coordinate, $a$ an offset and $b$ a scale. With an independently established $x_{\mathrm{LE}}=0$, $c=200\mathrm{mm}$, $a=0.20\mathrm{mm}$ and $b=1.001$, a nominal reading $r=100\mathrm{mm}$ gives $x=100.30\mathrm{mm}$ and $\xi =0.5015$, rather than $0.5000$. For a locally linear pressure coefficient slope of $10$, that coordinate discrepancy corresponds to $\delta C_p=0.015$.

Reference sharing matters. If the same affine map determines the tap, leading-edge and trailing-edge coordinates, its common offset and scale cancel inThis cancellation does not remove distortion, uncertain feature identification or non-affine errors. It shows why the references and their covariances must be part of the measurement model, rather than independently attached after normalization.^[ref]

Robert M. Pinkerton's 54-orifice airfoil experiment illustrates why spatially distributed pressure data matter: the experiment compared measured distributions with potential flow predictions.^[ref] A position check tests the coordinate assignment, whereas additional taps address quadrature ambiguity of pressure-tap data; neither task substitutes for the other.