Gantry Master Settings Dashboard
| ▼ DLLS Gantry (Gate 1) | ||||
| ☰ | \( \tau_{\text{gantry, allocation}} \) | Gantry Torque Allocation (%) |
View Help GuidePurpose: Torsional Load Share.
Logic: Defines the proportion of rotational twisting force that the vertical walls must absorb to keep the system rigid.
Type: Manual Entry
Render on Grids: None
Mathematical Formula:
Adjustable User Input Python Logic:
N/ALive Evaluation: N/A (Input Variable)
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| ☰ | \( X_{\text{gantry, allocation}} \) | Gantry Gravity Allocation (%) |
View Help GuidePurpose: Dead-Load Distribution.
Logic: Specifies how much of the heavy machinery's weight is carried by the walls, taking the burden off the main bridge to prevent sagging.
Type: Manual Entry
Render on Grids: None
Mathematical Formula:
Adjustable User Input Python Logic:
N/ALive Evaluation: N/A (Input Variable)
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| ☰ | \( X_{\text{gantry, chain}} \) | Gantry Chain Pull Allocation (%) |
View Help GuidePurpose: Lateral Tension Factor.
Logic: Defines the percentage of the side-to-side "tug" from the chain that the housing must absorb to keep the gears perfectly aligned.
Type: Manual Entry
Render on Grids: None
Mathematical Formula:
Adjustable User Input Python Logic:
N/ALive Evaluation: N/A (Input Variable)
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| ☰ | \( X_{\text{clearance, multiplier}} \) | Clearance multiplier |
View Help GuidePurpose: Geometric Buffer.
Logic: A clearance multiplier to prevent mechanical interference between stationary walls and rotating internal hardware.
Type: Manual Entry
Render on Grids: None
Mathematical Formula:
Adjustable User Input Python Logic:
N/ALive Evaluation: N/A (Input Variable)
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| ☰ | \( \tau_{\text{gantry}} \) | Gantry Force: Torque (Nm) | 1,154,496.375076 |
View Help GuidePurpose: Applied Moment (M).
Logic: Calculates the specific rotational "kickback" the modules must resist to ensure the gear system doesn't twist out of place.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$\tau_{\text{gantry}} = \tau_{\text{reaction}} \times \tau_{\text{gantry, allocation}}$$ Python Logic:
v["Reaction Torque (Nm)"] * v["Gantry Torque Allocation (%)"]Live Evaluation: [ROUTE: STATIC/GLOBAL] 1,443,120.4688 * 0.8000 = 1,154,496.3751
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| ☰ | \( F_{\text{gantry}} \) | Gantry Force: Gravity (N) | 49,012.474064 |
View Help GuidePurpose: Axial Compression Load (P).
Logic: Converts the physical weight into a downward "crush" force to verify the carbon fiber won't buckle.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$F_{\text{gantry}} = (\Sigma M_{\text{component}} \times N) \times X_{\text{gantry, allocation}}$$ Python Logic:
(v["Total Component weight (kg)"] * v["Gravitational Field Strength (N/kg)"]) * v["Gantry Gravity Allocation (%)"]Live Evaluation: [ROUTE: STATIC/GLOBAL] (5,553.2016 * 9.8066) * 0.9000 = 49,012.4741
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| ☰ | \( F_{\text{gantry, pull}} \) | Gantry Force: Pull (N) | 2,308,992.750152 |
View Help GuidePurpose: Transverse Shear Load (V).
Logic: The lateral sideways force generated by the drive mechanism. This tells us exactly how many steel shear-pins we need to hold the walls together.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$F_{\text{gantry, pull}} = F_{\text{pull}} \times X_{\text{gantry, chain}}$$ Python Logic:
v["Pull Force (N)"] * v["Gantry Chain Pull Allocation (%)"]Live Evaluation: [ROUTE: STATIC/GLOBAL] 2,886,240.9377 * 0.8000 = 2,308,992.7502
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| ☰ | \( H_{\text{gantry, design}} \) | Gantry Design Height (m) | 2.785212 |
View Help GuidePurpose: Vertical Clear Span.
Logic: Dictates the final height of the gantry walls so everything fits inside with enough room left over for maintenance access.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$H_{\text{gantry, design}} = D_{\text{input}} + ( D_{\text{input}} \times \text{Clearance multiplier} )$$ Python Logic:
v["TAR 1 Top track rotation gear diameter (m)"] + ( v["TAR 1 Top track rotation gear diameter (m)"] * v["Clearance multiplier"] )Live Evaluation: [ROUTE: STATIC/GLOBAL] 2.2282 + ( 2.2282 * 0.2500 ) = 2.7852
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| ☰ | \( L_{\text{gantry}} \) | Gantry Wall Length (m) | 2.785212 |
View Help GuidePurpose: Aspect Ratio Datum.
Logic: Sets the length of the walls to perfectly match the height, creating a "Square Box" geometry which is mathematically the best shape for torsional stability.
Type: Calculated (Math Output)
Render on Grids: None
Mathematical Formula:
$$L_{\text{gantry}} = H_{\text{gantry, design}}$$ Python Logic:
v["Gantry Design Height (m)"]Live Evaluation: [ROUTE: STATIC/GLOBAL] 2.7852 = 2.7852
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