Automated extraction of Cutting Tool information for various Metal Cutting Operations
نویسندگان
چکیده
In any manufacturing firm, cutting tool selection for a metal removing operation plays a pivotal role. For various operations, different set of cutter tools made of different materials or specification are used. Through this paper, it is aimed at automated extraction of the data of these cutting tools for various metal cutting operations using elements of the Natural Language Processing. We discuss the extraction of useful information from the corpus using natural language tools such as LingPipe and GATE. We generate a code in PERL for the extraction of this sensible useful data.
منابع مشابه
شبیهسازی المان محدود فرایند برش متعامد و تعیین ضخامت لایه چسبنده به ابزار در ناحیه دوم برش
The built up layer thickness in secondary deformation zone is one of the important parameters in metal cutting process. The built up layer (BUL) is formed in second deformation zone near the tool-chip interface in the back of the chip. This parameter influences the tool life and machined surface quality. This BUL should not be confused with the built up edge (BUE). The deformation of the BUL in...
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