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In the phase of machine tool use, various technologies for verification of machine tool eligibility are then deployed.
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Taha and Rostam (2012) developed a DSS to select the best alternative machine tool using a hybrid approach of fuzzy AHP and PROMETHEE methods.
Huang, et al. [99], measured the surface temperature field of a heavy-duty machine tool using the fiber Bragg grating temperature sensor (shown in Figure 21).
Mian, et al. [56], further studied the influence of the ambiance temperature variation on the deformation of the machine tool using FEM.
We report an autotuning technique for feed systems of a CNC machine tool using a least-square parametric system identification, a frequency-domain design method, and a fine-tuning method based on an optimal search algorithm.
This research aims to develop Therblig power models for calculating the energy supply of computer numerical control (CNC) machine tools using machining process parameters.
There he began work on the problem of precision measurement needed in the machine tools used for mass production.
The concept is proposed for direct-drive machine tools used for micro-milling.
Lathe is one of machine tools used to produce round mechanical parts.
However, the underlying structures of the machine tools used have remained unchanged and still consist of a serial kinematic chain.
Dawal et al. (2013) presented a simple approach for multi-attribute-based selection of machine tools using fuzzy AHP and TOPSIS methods.
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