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A material removal control (MRC), model to achieve the optimal cutting rate control of a cutting tool during machining is established in this study, which can direct a project towards reaching maximal profit.
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No evidence of mechanical damage was found in those grains that had suffered the highest wear, indicating that material removal had been controlled by tribochemical mechanisms.
In the studied submicrometric regime, the 3D fabricated structures are very well defined, and the material removal can be simply controlled by varying the incubation time in an aqueous pH 7.4 or neutral solution.
More specifically, our analysis focuses here on the individual and combined roles of NO3− (background anion), H2O2 (oxidizer) and glycine (complexing agent) in voltage controlled material removal from Cu in the absence of mechanical polishing.
For local edge-rectification of the up-stand, the material removal has to be controlled absolutely, so that the correction never overshoots i.e. it never causes the local surface to project below the extrapolated bulk-form, as this can be rectified only by re-working the entire global surface.
In this work, we summarize the recent progresses in machining of different types of advanced ceramics, material processing methods such as wet etching and dry etching, and finally the prospects for control of material removal rate and surface quality in the process of ceramic micromachining.
Chemical reactions associated with CMP are used to enhance the finish quality while the magneto-rheological polishing fluid is used to control the magnitude of the forces acting on the workpiece that controls the material removal rates (MRR) and minimizes the surface integrity problems.
The proposed model can be applied to control wafer-scale material removal rate variations in a CMP process.
Various computer controlled optical surfacing (CCOS) processes have been proposed and developed in previous researches for producing ultra-precision optical surfaces, based on the fundamental CCOS principles, i.e., predictable material removal and dwell-time based process control.
Peak current, gap voltage, pulse on time and dielectric fluid pressure was taken as input control parameter while material removal rate and surface roughness were taken as response parameters.
Moreover, a quantitative modeling and analysis should be conducted on the material removal when polishing with the aim of controlling the amount of materials removed in an accurate manner.
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