Your English writing platform
Discover LudwigExact(7)
The minimum mean contact pressure of the 8.625 inch connector is calculated as 361 MPa.
(2) The minimum mean contact pressure of the sealing surface is formulated to support SPMC optimization and design.
Taking p i into Eq. (23) and then Eq. (24), the minimum mean contact pressure, (overline{P}_{text{AD}}), equals 361 MPa.
On the base of superposition theorem of elasticity and compression experiment of the pipeline material, the minimum mean contact pressure of 8.625 inch SPMC is calculated.
The minimum mean contact pressure, (overline{P}_{text{AD}}), is the mean contact pressure on sealing surface that meets Eq. (1), which represents the value and distribution of the contact pressure and can be used to evaluate sealing performance generally.
When elastic contact pressure on sealing surface, P = (p1 p2 ··· p n )T, meets Eq. (1), (overline{P}_{text{AD}}) is the minimum mean contact pressure to realize a static metal seal for SPMCs, and the expression is bar{P}_{text{AD}} = frac{1}{n}sumlimits_{i = 1}^{n} {p_{i}^.
Similar(53)
Therefore, according to evaluation index system in this study, the maximum contact force between the pantograph and catenary should be less than 79 N, the minimum contact force between the pantograph and catenary should be greater than 44 N, and the optimum mean contact force should also be in the range of 59−10+1010 N [2].
This may be a contact sport, but that does not mean contact should always be sought.
The parametric model of SPMC is created in APDL for optimization, with structure parameters of the sealing part as design variables, mean contact pressures and plastic strains on two sealing surfaces and variance of contact pressure on the second sealing surface as constrained variables, and minimum variance of contact pressure on the first sealing surface as objective function.
Values are mean ± standard deviation (p value) for contact area, mean contact pressure and peak contact pressure.
Minimum mean square error (MMSE) [15] 4.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com