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For the polishing tool, the main factors are material property, shape, and surface roughness.
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The model utilizes the several important aspects such as temperature-sensitive material properties, shape and size of heat source (Gaussian heat distribution), percentage distribution of heat among tool, workpiece and dielectric fluid, pulse on/off time, material ejection efficiency and phase change (enthalpy) etc. to predict the thermal behaviour and material removal mechanism in PMEDM process.
The direct relationship between these curves and material properties shaped in the process of preliminary creep, at different temperatures and under different load values, was indicated.
Exploration has focused on expressed sensitivity with respect to material property and shape of the coolant channel.
The material property and shape DSA using both the direct differentiation method (DDM) and the adjoint variable method (AVM) are discussed.
The influence of sleeper material properties, sleeper shape and properties of ballast and rail pads on sleeper sound power can be investigated.
The indentation deformation behavior of soft and hard micro-/nanostructures is discussed in conjunction with the material properties, sample shape, and three-dimensional geometry length scale.
Extensive numerical results are used to show the effects of variations in the material properties and shape parameters of the composite laminates on the response quantities and sensitivity coefficients of natural frequencies.
The rationale of the approach is that the fundamental equations of continuum mechanics can be expressed by a product of four factors: the functional requirements, the material properties, the shape transformers, and the geometric quantities of a rectangle as defined by its cross-section size.
In the examples, numerical results separately show the effect of material properties, geometric shapes, mechanical and temperature loads on the double-layered structure.
Employing lattice Monte-Carlo simulations with realistic material properties for shape-memory alloys (SMA), we investigate the combined influence of the external stress, temperature, and interface energy between the austenitic and martensitic phase on the transformation kinetics.
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