The phrase "component dimensions" is correct and would be commonly used in written English.
It is typically used to describe the various elements that make up a larger whole, like a system or product. For example, "The project requires an in-depth analysis of the component dimensions of the product."
The techniques range from the incorporation of a thin, micrometre-dimensioned film that maintains the original component dimensions to macroscopic, 100 μm overlays that are best described as thick coatings.
Axioms of conjointness postulate that attributes that cannot be measured empirically (for example, loudness, intelligence, or hunger) can be measured by observing the way their component dimensions change in relation to each other.
The objective is to simultaneously consider the tolerance specification on the product or the component dimensions along with the selection of the manufacturing processes.
In order to test whether the accuracy and reproducibility of our OCT system was sufficient for gene mapping studies, we carried out an experiment designed to estimate the heritability of mouse ocular component dimensions.
From the expected movement arc and from component dimensions, a mechanical model of the ligaments is used to select the optimal size and the position the three prosthesis components.
The kinematic connections allow the behaviour of the product to be simulated to gain more information (such as overall component dimensions and areas of potential collisions) for the detailed design phase.
Sensory flavor profiles spanned a principal component dimension of palatability projecting true flavor compensation of salt into the space between cheeses containing 1.7 and 2.3% salt.
Therefore, it is of utmost importance to decide the component dimension during each assembly stage considering the above situations during the designing stage by exactly predicting welding deformation before the welding is done.
The first principal component dimension "bioenergy benefits to society" has an alpha of 0.89 among the variables.
where the first, second, and third modes (dimensions) were for the mixture component, dimension of the mean vector, and training speaker.
In the above equation, U mixture ∈ ℝ R × K R, U dim ∈ ℝ D × K D, and U speaker ∈ ℝ S × K S are basis matrices for the mixture component, dimension of the mean vector, and training speaker, respectively (K R ≤R−1, K D ≤D−1, and K S ≤S−1); the core tensor G is common across the mixture component, dimension of the mean vector, and training speaker.
