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Electrostatic Sensor Array Potential Gradients (Electrical & Computer Engineering)

In micro-electro-mechanical systems (MEMS) and semiconductor device fabrication at UNLV, engineers design micro-sensor arrays to manipulate and sort charged nanoparticles in cleanroom aerosol streams. Inside an electrostatic precipitation sensing chamber, the electric potential (voltage) distribution V(x,y,z)V(x, y, z) (measured in volts, V\text{V}) across a 3D coordinate grid (measured in centimeters, cm\text{cm}) is governed by the quadratic potential field:

V(x,y,z)=50+4x2−3y2+z2V(x, y, z) = 50 + 4x^2 - 3y^2 + z^2

A test sensor probe is positioned at coordinate location P(1,2,−2)P(1, 2, -2).

  1. Calculate the spatial voltage gradient vector ∇V\nabla V at the probe location P(1,2,−2)P(1, 2, -2), expressing your answer in both bracket notation ⟨a,b,c⟩\langle a, b, c \rangle and Cartesian unit vector notation ai^+bj^+ck^a\hat{i} + b\hat{j} + c\hat{k}.
  2. Determine the maximum spatial rate of voltage change ∥∇V∥\|\nabla V\| at point PP, and state the direction of maximum voltage increase as a unit vector u⃗max\vec{u}_{\text{max}}.
  3. Physical Law & Nanoparticle Dynamics: In classical electromagnetism, the electric field vector E⃗\vec{E} is defined as the negative gradient of electric potential:
    E⃗=−∇V\vec{E} = -\nabla V
    Compute E⃗(1,2,−2)\vec{E}(1, 2, -2). If a positively charged aerosol particle with net charge q>0q > 0 enters this zone, explain the physical direction in which the electrostatic Coulomb force F⃗=qE⃗\vec{F} = q\vec{E} will accelerate the particle, and how engineers position collection electrodes to capture it.